Phase 8: Log-trace correlation with Loki and filelog receiver

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Phase 7: Native OTel metrics migration
2026-03-31 09:02:34 +00:00 · 2026-03-24 19:25:00 +00:00 · 2026-03-24 19:23:51 +00:00 · 2026-03-24 19:21:55 +00:00 · 2026-03-24 19:19:28 +00:00 · 2026-03-24 19:18:33 +00:00
360 changed files with 24618 additions and 2662 deletions
--- a/.clang-tidy
+++ b/.clang-tidy
@@ -1,6 +1,4 @@
 ---
-# This entire group of checks was applied to all cpp files but not all header files.
-# ---
 Checks: "-*,
  bugprone-argument-comment,
  bugprone-assert-side-effect,
@@ -10,26 +8,26 @@ Checks: "-*,
  bugprone-chained-comparison,
  bugprone-compare-pointer-to-member-virtual-function,
  bugprone-copy-constructor-init,
-  # bugprone-crtp-constructor-accessibility, # has issues
+  bugprone-crtp-constructor-accessibility,
  bugprone-dangling-handle,
  bugprone-dynamic-static-initializers,
-  # bugprone-empty-catch, # has issues
+  bugprone-empty-catch,
  bugprone-fold-init-type,
-  # bugprone-forward-declaration-namespace, # has issues
-  # bugprone-inaccurate-erase,
-  # bugprone-inc-dec-in-conditions,
-  # bugprone-incorrect-enable-if,
-  # bugprone-incorrect-roundings,
-  # bugprone-infinite-loop,
-  # bugprone-integer-division,
+  bugprone-forward-declaration-namespace,
+  bugprone-inaccurate-erase,
+  bugprone-inc-dec-in-conditions,
+  bugprone-incorrect-enable-if,
+  bugprone-incorrect-roundings,
+  bugprone-infinite-loop,
+  bugprone-integer-division,
  bugprone-lambda-function-name,
-  # bugprone-macro-parentheses, # has issues
+  bugprone-macro-parentheses,
  bugprone-macro-repeated-side-effects,
  bugprone-misplaced-operator-in-strlen-in-alloc,
  bugprone-misplaced-pointer-arithmetic-in-alloc,
  bugprone-misplaced-widening-cast,
  bugprone-move-forwarding-reference,
-  # bugprone-multi-level-implicit-pointer-conversion, # has issues
+  bugprone-multi-level-implicit-pointer-conversion,
  bugprone-multiple-new-in-one-expression,
  bugprone-multiple-statement-macro,
  bugprone-no-escape,
@@ -39,13 +37,13 @@ Checks: "-*,
  bugprone-pointer-arithmetic-on-polymorphic-object,
  bugprone-posix-return,
  bugprone-redundant-branch-condition,
-  # bugprone-reserved-identifier, # has issues
-  # bugprone-return-const-ref-from-parameter, # has issues
+  bugprone-reserved-identifier,
+  bugprone-return-const-ref-from-parameter,
  bugprone-shared-ptr-array-mismatch,
  bugprone-signal-handler,
  bugprone-signed-char-misuse,
  bugprone-sizeof-container,
-  # bugprone-sizeof-expression, # has issues
+  bugprone-sizeof-expression,
  bugprone-spuriously-wake-up-functions,
  bugprone-standalone-empty,
  bugprone-string-constructor,
@@ -62,7 +60,7 @@ Checks: "-*,
  bugprone-suspicious-string-compare,
  bugprone-suspicious-stringview-data-usage,
  bugprone-swapped-arguments,
-  # bugprone-switch-missing-default-case, # has issues
+  bugprone-switch-missing-default-case,
  bugprone-terminating-continue,
  bugprone-throw-keyword-missing,
  bugprone-too-small-loop-variable,
@@ -73,66 +71,61 @@ Checks: "-*,
  bugprone-unhandled-self-assignment,
  bugprone-unique-ptr-array-mismatch,
  bugprone-unsafe-functions,
-  # bugprone-use-after-move, # has issues
+  bugprone-use-after-move,
  bugprone-unused-raii,
  bugprone-unused-return-value,
  bugprone-unused-local-non-trivial-variable,
  bugprone-virtual-near-miss,
-  # cppcoreguidelines-init-variables, # has issues
-  # cppcoreguidelines-misleading-capture-default-by-value, # has issues
+  cppcoreguidelines-init-variables,
+  cppcoreguidelines-misleading-capture-default-by-value,
  cppcoreguidelines-no-suspend-with-lock,
-  # cppcoreguidelines-pro-type-member-init, # has issues
+  cppcoreguidelines-pro-type-member-init,
  cppcoreguidelines-pro-type-static-cast-downcast,
-  # cppcoreguidelines-rvalue-reference-param-not-moved, # has issues
-  # cppcoreguidelines-use-default-member-init, # has issues
-  # cppcoreguidelines-virtual-class-destructor, # has issues
+  cppcoreguidelines-rvalue-reference-param-not-moved,
+  cppcoreguidelines-use-default-member-init,
+  cppcoreguidelines-virtual-class-destructor,
  hicpp-ignored-remove-result,
-  # misc-definitions-in-headers, # has issues
+  misc-definitions-in-headers,
  misc-header-include-cycle,
  misc-misplaced-const,
  misc-static-assert,
-  # misc-throw-by-value-catch-by-reference, # has issues
+  misc-throw-by-value-catch-by-reference,
  misc-unused-alias-decls,
  misc-unused-using-decls,
  modernize-deprecated-headers,
  modernize-make-shared,
  modernize-make-unique,
-  performance-faster-string-find,
-  performance-for-range-copy,
  performance-implicit-conversion-in-loop,
-  performance-inefficient-vector-operation,
-  performance-move-const-arg,
  performance-move-constructor-init,
-  performance-no-automatic-move,
  performance-trivially-destructible,
-  # readability-avoid-nested-conditional-operator, # has issues
-  # readability-avoid-return-with-void-value, # has issues
-  # readability-braces-around-statements, # has issues
-  # readability-const-return-type, # has issues
-  # readability-container-contains, # has issues
-  # readability-container-size-empty, # has issues
-  # readability-convert-member-functions-to-static, # has issues
+  readability-avoid-nested-conditional-operator,
+  readability-avoid-return-with-void-value,
+  readability-braces-around-statements,
+  readability-const-return-type,
+  readability-container-contains,
+  readability-container-size-empty,
+  readability-convert-member-functions-to-static,
  readability-duplicate-include,
-  # readability-else-after-return, # has issues
-  # readability-enum-initial-value, # has issues
-  # readability-implicit-bool-conversion, # has issues
-  # readability-make-member-function-const, # has issues
-  # readability-math-missing-parentheses, # has issues
+  readability-else-after-return,
+  readability-enum-initial-value,
+  readability-implicit-bool-conversion,
+  readability-make-member-function-const,
+  readability-math-missing-parentheses,
  readability-misleading-indentation,
  readability-non-const-parameter,
-  # readability-redundant-casting, # has issues
-  # readability-redundant-declaration, # has issues
-  # readability-redundant-inline-specifier, # has issues
-  # readability-redundant-member-init, # has issues
+  readability-redundant-casting,
+  readability-redundant-declaration,
+  readability-redundant-inline-specifier,
+  readability-redundant-member-init,
  readability-redundant-string-init,
  readability-reference-to-constructed-temporary,
-  # readability-simplify-boolean-expr, # has issues
-  # readability-static-definition-in-anonymous-namespace, # has issues
-  # readability-suspicious-call-argument, # has issues
+  readability-simplify-boolean-expr,
+  readability-static-definition-in-anonymous-namespace,
+  readability-suspicious-call-argument,
  readability-use-std-min-max
  "
 # ---
-# other checks that have issues that need to be resolved:
+# checks that have some issues that need to be resolved:
 #
 # llvm-namespace-comment,
 # misc-const-correctness,
@@ -141,7 +134,7 @@ Checks: "-*,
 #
 # readability-inconsistent-declaration-parameter-name, # in this codebase this check will break a lot of arg names
 # readability-static-accessed-through-instance,        # this check is probably unnecessary. it makes the code less readable
-# readability-identifier-naming,                       # https://github.com/XRPLF/rippled/pull/6571
+# readability-identifier-naming,
 #
 # modernize-concat-nested-namespaces,
 # modernize-pass-by-value,
@@ -155,6 +148,12 @@ Checks: "-*,
 # modernize-use-starts-ends-with,
 # modernize-use-std-numbers,
 # modernize-use-using,
+#
+# performance-faster-string-find,
+# performance-for-range-copy,
+# performance-inefficient-vector-operation,
+# performance-move-const-arg,
+# performance-no-automatic-move,
 # ---
 #
 CheckOptions:
@@ -196,6 +195,5 @@ CheckOptions:
  bugprone-unused-return-value.CheckedReturnTypes: ::std::error_code;::std::error_condition;::std::errc
 #   misc-include-cleaner.IgnoreHeaders: '.*/(detail|impl)/.*;.*(expected|unexpected).*;.*ranges_lower_bound\.h;time.h;stdlib.h;__chrono/.*;fmt/chrono.h;boost/uuid/uuid_hash.hpp'
 #
-HeaderFilterRegex: '^.*/(test|xrpl|xrpld)/.*\.(h|hpp)$'
-ExcludeHeaderFilterRegex: '^.*/protocol_autogen/.*\.(h|hpp)$'
+# HeaderFilterRegex: '^.*/(src|tests)/.*\.(h|hpp)$'
 WarningsAsErrors: "*"
--- a/.codecov.yml
+++ b/.codecov.yml
@@ -36,3 +36,8 @@ ignore:
  - "src/tests/"
  - "include/xrpl/beast/test/"
  - "include/xrpl/beast/unit_test/"
+  # Telemetry modules — conditionally compiled behind XRPL_ENABLE_TELEMETRY,
+  # which is not enabled in coverage builds.
+  - "src/xrpld/telemetry/"
+  - "src/libxrpl/beast/insight/OTelCollector.cpp"
+  - "include/xrpl/beast/insight/OTelCollector.h"
--- a/.github/scripts/levelization/results/ordering.txt
+++ b/.github/scripts/levelization/results/ordering.txt
@@ -21,7 +21,6 @@ libxrpl.protocol > xrpl.json
 libxrpl.protocol > xrpl.protocol
 libxrpl.protocol_autogen > xrpl.protocol_autogen
 libxrpl.rdb > xrpl.basics
-libxrpl.rdb > xrpl.core
 libxrpl.rdb > xrpl.rdb
 libxrpl.resource > xrpl.basics
 libxrpl.resource > xrpl.json
@@ -34,6 +33,8 @@ libxrpl.server > xrpl.server
 libxrpl.shamap > xrpl.basics
 libxrpl.shamap > xrpl.protocol
 libxrpl.shamap > xrpl.shamap
+libxrpl.telemetry > xrpl.basics
+libxrpl.telemetry > xrpl.telemetry
 libxrpl.tx > xrpl.basics
 libxrpl.tx > xrpl.conditions
 libxrpl.tx > xrpl.core
@@ -91,8 +92,8 @@ test.core > xrpl.server
 test.csf > xrpl.basics
 test.csf > xrpld.consensus
 test.csf > xrpl.json
-test.csf > xrpl.ledger
 test.csf > xrpl.protocol
+test.csf > xrpl.telemetry
 test.json > test.jtx
 test.json > xrpl.json
 test.jtx > xrpl.basics
@@ -110,6 +111,7 @@ test.jtx > xrpl.tx
 test.ledger > test.jtx
 test.ledger > test.toplevel
 test.ledger > xrpl.basics
+test.ledger > xrpld.app
 test.ledger > xrpld.core
 test.ledger > xrpl.ledger
 test.ledger > xrpl.protocol
@@ -126,7 +128,6 @@ test.overlay > xrpl.basics
 test.overlay > xrpld.app
 test.overlay > xrpld.overlay
 test.overlay > xrpld.peerfinder
-test.overlay > xrpl.ledger
 test.overlay > xrpl.nodestore
 test.overlay > xrpl.protocol
 test.overlay > xrpl.shamap
@@ -177,14 +178,17 @@ test.toplevel > xrpl.json
 test.unit_test > xrpl.basics
 test.unit_test > xrpl.protocol
 tests.libxrpl > xrpl.basics
+tests.libxrpl > xrpld.telemetry
 tests.libxrpl > xrpl.json
 tests.libxrpl > xrpl.net
 tests.libxrpl > xrpl.protocol
 tests.libxrpl > xrpl.protocol_autogen
+tests.libxrpl > xrpl.telemetry
 xrpl.conditions > xrpl.basics
 xrpl.conditions > xrpl.protocol
 xrpl.core > xrpl.basics
 xrpl.core > xrpl.json
+xrpl.core > xrpl.ledger
 xrpl.core > xrpl.protocol
 xrpl.json > xrpl.basics
 xrpl.ledger > xrpl.basics
@@ -214,6 +218,7 @@ xrpl.server > xrpl.shamap
 xrpl.shamap > xrpl.basics
 xrpl.shamap > xrpl.nodestore
 xrpl.shamap > xrpl.protocol
+xrpl.telemetry > xrpl.basics
 xrpl.tx > xrpl.basics
 xrpl.tx > xrpl.core
 xrpl.tx > xrpl.ledger
@@ -223,6 +228,7 @@ xrpld.app > xrpl.basics
 xrpld.app > xrpl.core
 xrpld.app > xrpld.consensus
 xrpld.app > xrpld.core
+xrpld.app > xrpld.telemetry
 xrpld.app > xrpl.json
 xrpld.app > xrpl.ledger
 xrpld.app > xrpl.net
@@ -232,11 +238,13 @@ xrpld.app > xrpl.rdb
 xrpld.app > xrpl.resource
 xrpld.app > xrpl.server
 xrpld.app > xrpl.shamap
+xrpld.app > xrpl.telemetry
 xrpld.app > xrpl.tx
 xrpld.consensus > xrpl.basics
+xrpld.consensus > xrpld.telemetry
 xrpld.consensus > xrpl.json
-xrpld.consensus > xrpl.ledger
 xrpld.consensus > xrpl.protocol
+xrpld.consensus > xrpl.telemetry
 xrpld.core > xrpl.basics
 xrpld.core > xrpl.core
 xrpld.core > xrpl.json
@@ -247,6 +255,7 @@ xrpld.overlay > xrpl.basics
 xrpld.overlay > xrpl.core
 xrpld.overlay > xrpld.core
 xrpld.overlay > xrpld.peerfinder
+xrpld.overlay > xrpld.telemetry
 xrpld.overlay > xrpl.json
 xrpld.overlay > xrpl.protocol
 xrpld.overlay > xrpl.rdb
@@ -264,6 +273,7 @@ xrpld.perflog > xrpl.json
 xrpld.rpc > xrpl.basics
 xrpld.rpc > xrpl.core
 xrpld.rpc > xrpld.core
+xrpld.rpc > xrpld.telemetry
 xrpld.rpc > xrpl.json
 xrpld.rpc > xrpl.ledger
 xrpld.rpc > xrpl.net
@@ -274,3 +284,4 @@ xrpld.rpc > xrpl.resource
 xrpld.rpc > xrpl.server
 xrpld.rpc > xrpl.tx
 xrpld.shamap > xrpl.shamap
+xrpld.telemetry > xrpl.telemetry
--- a/.github/workflows/conflicting-pr.yml
+++ b/.github/workflows/conflicting-pr.yml
@@ -1,25 +0,0 @@
-name: Label PRs with merge conflicts
-
-on:
-  # So that PRs touching the same files as the push are updated.
-  push:
-  # So that the `dirtyLabel` is removed if conflicts are resolved.
-  # We recommend `pull_request_target` so that github secrets are available.
-  # In `pull_request` we wouldn't be able to change labels of fork PRs.
-  pull_request_target:
-    types: [synchronize]
-
-permissions:
-  pull-requests: write
-
-jobs:
-  main:
-    runs-on: ubuntu-latest
-    steps:
-      - name: Check if PRs are dirty
-        uses: eps1lon/actions-label-merge-conflict@1df065ebe6e3310545d4f4c4e862e43bdca146f0 # v3.0.3
-        with:
-          dirtyLabel: "PR: has conflicts"
-          repoToken: "${{ secrets.GITHUB_TOKEN }}"
-          commentOnDirty: "This PR has conflicts, please resolve them in order for the PR to be reviewed."
-          commentOnClean: "All conflicts have been resolved. Assigned reviewers can now start or resume their review."
--- a/.github/workflows/publish-docs.yml
+++ b/.github/workflows/publish-docs.yml
@@ -6,6 +6,7 @@ on:
  push:
    branches:
      - "develop"
+      - "release*"
    paths:
      - ".github/workflows/publish-docs.yml"
      - "*.md"
@@ -81,13 +82,13 @@ jobs:
          cmake --build . --target docs --parallel ${BUILD_NPROC}

      - name: Create documentation artifact
-        if: ${{ github.event.repository.visibility == 'public' && github.event_name == 'push' }}
+        if: ${{ github.event_name == 'push' }}
        uses: actions/upload-pages-artifact@7b1f4a764d45c48632c6b24a0339c27f5614fb0b # v4.0.0
        with:
          path: ${{ env.BUILD_DIR }}/docs/html

  deploy:
-    if: ${{ github.event.repository.visibility == 'public' && github.event_name == 'push' }}
+    if: ${{ github.event_name == 'push' }}
    needs: build
    runs-on: ubuntu-latest
    permissions:
@@ -99,4 +100,4 @@ jobs:
    steps:
      - name: Deploy to GitHub Pages
        id: deploy
-        uses: actions/deploy-pages@cd2ce8fcbc39b97be8ca5fce6e763baed58fa128 # v5.0.0
+        uses: actions/deploy-pages@d6db90164ac5ed86f2b6aed7e0febac5b3c0c03e # v4.0.5
--- a/.github/workflows/reusable-build-test-config.yml
+++ b/.github/workflows/reusable-build-test-config.yml
@@ -101,7 +101,7 @@ jobs:
    steps:
      - name: Cleanup workspace (macOS and Windows)
        if: ${{ runner.os == 'macOS' || runner.os == 'Windows' }}
-        uses: XRPLF/actions/cleanup-workspace@c7d9ce5ebb03c752a354889ecd870cadfc2b1cd4
+        uses: XRPLF/actions/cleanup-workspace@cf0433aa74563aead044a1e395610c96d65a37cf

      - name: Checkout repository
        uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
@@ -199,7 +199,7 @@ jobs:
          fi

      - name: Upload the binary (Linux)
-        if: ${{ github.event.repository.visibility == 'public' && runner.os == 'Linux' }}
+        if: ${{ github.repository == 'XRPLF/rippled' && runner.os == 'Linux' }}
        uses: actions/upload-artifact@bbbca2ddaa5d8feaa63e36b76fdaad77386f024f # v7.0.0
        with:
          name: xrpld-${{ inputs.config_name }}
@@ -263,18 +263,6 @@ jobs:
          [ "$COVERAGE_ENABLED" = "true" ] && BUILD_NPROC=$(( BUILD_NPROC - 2 ))
          ./xrpld --unittest --unittest-jobs "${BUILD_NPROC}" 2>&1 | tee unittest.log

-      - name: Show test failure summary
-        if: ${{ failure() && !inputs.build_only }}
-        working-directory: ${{ runner.os == 'Windows' && format('{0}/{1}', env.BUILD_DIR, inputs.build_type) || env.BUILD_DIR }}
-        run: |
-          if [ ! -f unittest.log ]; then
-            echo "unittest.log not found; embedded tests may not have run."
-            exit 0
-          fi
-
-          if ! grep -E "failed" unittest.log; then
-            echo "Log present but no failure lines found in unittest.log."
-          fi
      - name: Debug failure (Linux)
        if: ${{ failure() && runner.os == 'Linux' && !inputs.build_only }}
        run: |
@@ -298,7 +286,7 @@ jobs:

      - name: Upload coverage report
        if: ${{ github.repository == 'XRPLF/rippled' && !inputs.build_only && env.COVERAGE_ENABLED == 'true' }}
-        uses: codecov/codecov-action@57e3a136b779b570ffcdbf80b3bdc90e7fab3de2 # v6.0.0
+        uses: codecov/codecov-action@1af58845a975a7985b0beb0cbe6fbbb71a41dbad # v5.5.3
        with:
          disable_search: true
          disable_telem: true
--- a/.github/workflows/reusable-clang-tidy-files.yml
+++ b/.github/workflows/reusable-clang-tidy-files.yml
@@ -78,12 +78,12 @@ jobs:
        id: run_clang_tidy
        continue-on-error: true
        env:
-          TARGETS: ${{ inputs.files != '' && inputs.files || 'src tests' }}
+          FILES: ${{ inputs.files }}
        run: |
-          run-clang-tidy -j ${{ steps.nproc.outputs.nproc }} -p "${BUILD_DIR}" ${TARGETS} 2>&1 | tee clang-tidy-output.txt
+          run-clang-tidy -j ${{ steps.nproc.outputs.nproc }} -p "$BUILD_DIR" $FILES 2>&1 | tee clang-tidy-output.txt

      - name: Upload clang-tidy output
-        if: ${{ github.event.repository.visibility == 'public' && steps.run_clang_tidy.outcome != 'success' }}
+        if: steps.run_clang_tidy.outcome != 'success'
        uses: actions/upload-artifact@bbbca2ddaa5d8feaa63e36b76fdaad77386f024f # v7.0.0
        with:
          name: clang-tidy-results
--- a/.github/workflows/reusable-clang-tidy.yml
+++ b/.github/workflows/reusable-clang-tidy.yml
@@ -51,5 +51,5 @@ jobs:
    if: ${{ always() && !cancelled() && (!inputs.check_only_changed || needs.determine-files.outputs.any_cpp_changed == 'true' || needs.determine-files.outputs.clang_tidy_config_changed == 'true') }}
    uses: ./.github/workflows/reusable-clang-tidy-files.yml
    with:
-      files: ${{ (needs.determine-files.outputs.clang_tidy_config_changed != 'true' && inputs.check_only_changed) && needs.determine-files.outputs.all_changed_files || '' }}
+      files: ${{ needs.determine-files.outputs.clang_tidy_config_changed == 'true' && '' || (inputs.check_only_changed && needs.determine-files.outputs.all_changed_files || '') }}
      create_issue_on_failure: ${{ inputs.create_issue_on_failure }}
--- a/.github/workflows/upload-conan-deps.yml
+++ b/.github/workflows/upload-conan-deps.yml
@@ -64,7 +64,7 @@ jobs:
    steps:
      - name: Cleanup workspace (macOS and Windows)
        if: ${{ runner.os == 'macOS' || runner.os == 'Windows' }}
-        uses: XRPLF/actions/cleanup-workspace@c7d9ce5ebb03c752a354889ecd870cadfc2b1cd4
+        uses: XRPLF/actions/cleanup-workspace@cf0433aa74563aead044a1e395610c96d65a37cf

      - name: Checkout repository
        uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
--- a/.gitignore
+++ b/.gitignore
@@ -71,8 +71,6 @@ DerivedData
 /.zed/

 # AI tools.
-/.agent
-/.agents
 /.augment
 /.claude
 /CLAUDE.md
--- a/BUILD.md
+++ b/BUILD.md
@@ -125,9 +125,9 @@ default profile.

 ### Patched recipes

-Occasionally, we need patched recipes or recipes not present in Conan Center.
-We maintain a fork of the Conan Center Index
-[here](https://github.com/XRPLF/conan-center-index/) containing the modified and newly added recipes.
+The recipes in Conan Center occasionally need to be patched for compatibility
+with the latest version of `xrpld`. We maintain a fork of the Conan Center
+[here](https://github.com/XRPLF/conan-center-index/) containing the patches.

 To ensure our patched recipes are used, you must add our Conan remote at a
 higher index than the default Conan Center remote, so it is consulted first. You
@@ -137,11 +137,19 @@ can do this by running:
 conan remote add --index 0 xrplf https://conan.ripplex.io
 ```

-Alternatively, you can pull our recipes from the repository and export them locally:
+Alternatively, you can pull the patched recipes into the repository and use them
+locally:

 ```bash
+# Extract the version number from the lockfile.
+function extract_version {
+  version=$(cat conan.lock | sed -nE "s@.+${1}/(.+)#.+@\1@p" | head -n1)
+  echo ${version}
+}
+
 # Define which recipes to export.
-recipes=('abseil' 'ed25519' 'grpc' 'm4' 'mpt-crypto' 'nudb' 'openssl' 'secp256k1' 'snappy' 'soci' 'wasm-xrplf' 'wasmi')
+recipes=('ed25519' 'grpc' 'nudb' 'openssl' 'secp256k1' 'snappy' 'soci')
+folders=('all'     'all'  'all'  '3.x.x'   'all'       'all'    'all')

 # Selectively check out the recipes from our CCI fork.
 cd external
@@ -150,19 +158,29 @@ cd conan-center-index
 git init
 git remote add origin git@github.com:XRPLF/conan-center-index.git
 git sparse-checkout init
-for recipe in "${recipes[@]}"; do
-  echo "Checking out recipe '${recipe}'..."
-  git sparse-checkout add recipes/${recipe}
+for ((index = 1; index <= ${#recipes[@]}; index++)); do
+  recipe=${recipes[index]}
+  folder=${folders[index]}
+  echo "Checking out recipe '${recipe}' from folder '${folder}'..."
+  git sparse-checkout add recipes/${recipe}/${folder}
 done
 git fetch origin master
 git checkout master
+cd ../..

-./export_all.sh
-cd ../../
+# Export the recipes into the local cache.
+for ((index = 1; index <= ${#recipes[@]}; index++)); do
+  recipe=${recipes[index]}
+  folder=${folders[index]}
+  version=$(extract_version ${recipe})
+  echo "Exporting '${recipe}/${version}' from '${recipe}/${folder}'..."
+  conan export --version $(extract_version ${recipe}) \
+    external/conan-center-index/recipes/${recipe}/${folder}
+done
 ```

 In the case we switch to a newer version of a dependency that still requires a
-patch or add a new dependency, it will be necessary for you to pull in the changes and re-export the
+patch, it will be necessary for you to pull in the changes and re-export the
 updated dependencies with the newer version. However, if we switch to a newer
 version that no longer requires a patch, no action is required on your part, as
 the new recipe will be automatically pulled from the official Conan Center.
@@ -171,8 +189,6 @@ the new recipe will be automatically pulled from the official Conan Center.
 > You might need to add `--lockfile=""` to your `conan install` command
 > to avoid automatic use of the existing `conan.lock` file when you run
 > `conan export` manually on your machine
->
-> This is not recommended though, as you might end up using different revisions of recipes.

 ### Conan profile tweaks

@@ -188,14 +204,39 @@ Possible values are ['5.0', '5.1', '6.0', '6.1', '7.0', '7.3', '8.0', '8.1',
 Read "http://docs.conan.io/2/knowledge/faq.html#error-invalid-setting"
 ```

-you need to add your compiler to the list of compiler versions in
-`$(conan config home)/settings_user.yml`, by adding the required version number(s)
+you need to amend the list of compiler versions in
+`$(conan config home)/settings.yml`, by appending the required version number(s)
 to the `version` array specific for your compiler. For example:

 ```yaml
-compiler:
-  apple-clang:
-    version: ["17.0"]
+apple-clang:
+  version:
+    [
+      "5.0",
+      "5.1",
+      "6.0",
+      "6.1",
+      "7.0",
+      "7.3",
+      "8.0",
+      "8.1",
+      "9.0",
+      "9.1",
+      "10.0",
+      "11.0",
+      "12.0",
+      "13",
+      "13.0",
+      "13.1",
+      "14",
+      "14.0",
+      "15",
+      "15.0",
+      "16",
+      "16.0",
+      "17",
+      "17.0",
+    ]
 ```

 #### Multiple compilers
--- a/CMakeLists.txt
+++ b/CMakeLists.txt
@@ -117,6 +117,18 @@ if(rocksdb)
    target_link_libraries(xrpl_libs INTERFACE RocksDB::rocksdb)
 endif()

+# OpenTelemetry distributed tracing (optional).
+# When ON, links against opentelemetry-cpp and defines XRPL_ENABLE_TELEMETRY
+# so that tracing macros in TracingInstrumentation.h are compiled in.
+# When OFF (default), all tracing code compiles to no-ops with zero overhead.
+# Enable via: conan install -o telemetry=True, or cmake -Dtelemetry=ON.
+option(telemetry "Enable OpenTelemetry tracing" OFF)
+if(telemetry)
+    find_package(opentelemetry-cpp CONFIG REQUIRED)
+    add_compile_definitions(XRPL_ENABLE_TELEMETRY)
+    message(STATUS "OpenTelemetry tracing enabled")
+endif()
+
 # Work around changes to Conan recipe for now.
 if(TARGET nudb::core)
    set(nudb nudb::core)
--- a/CONTRIBUTING.md
+++ b/CONTRIBUTING.md
@@ -248,38 +248,6 @@ pip3 install pre-commit
 pre-commit install
 ```

-## Clang-tidy
-
-All code must pass `clang-tidy` checks according to the settings in [`.clang-tidy`](./.clang-tidy).
-
-There is a Continuous Integration job that runs clang-tidy on pull requests. The CI will check:
-
- All changed C++ files (`.cpp`, `.h`, `.ipp`) when only code files are modified
- **All files in the repository** when the `.clang-tidy` configuration file is changed
-
-This ensures that configuration changes don't introduce new warnings across the codebase.
-
-### Installing clang-tidy
-
-See the [environment setup guide](./docs/build/environment.md#clang-tidy) for platform-specific installation instructions.
-
-### Running clang-tidy locally
-
-Before running clang-tidy, you must build the project to generate required files (particularly protobuf headers). Refer to [`BUILD.md`](./BUILD.md) for build instructions.
-
-Then run clang-tidy on your local changes:
-
-```
-run-clang-tidy -p build src include tests
-```
-
-This will check all source files in the `src`, `include` and `tests` directories using the compile commands from your `build` directory.
-If you wish to automatically fix whatever clang-tidy finds _and_ is capable of fixing, add `-fix` to the above command:
-
-```
-run-clang-tidy -p build -fix src include tests
-```
-
 ## Contracts and instrumentation

 We are using [Antithesis](https://antithesis.com/) for continuous fuzzing,
--- a/LICENSE.md
+++ b/LICENSE.md
@@ -1,7 +1,7 @@
 ISC License

 Copyright (c) 2011, Arthur Britto, David Schwartz, Jed McCaleb, Vinnie Falco, Bob Way, Eric Lombrozo, Nikolaos D. Bougalis, Howard Hinnant.
-Copyright (c) 2012-present, the XRP Ledger developers.
+Copyright (c) 2012-2025, the XRP Ledger developers.

 Permission to use, copy, modify, and distribute this software for any
 purpose with or without fee is hereby granted, provided that the above
--- a/OpenTelemetryPlan/00-tracing-fundamentals.md
+++ b/OpenTelemetryPlan/00-tracing-fundamentals.md
@@ -0,0 +1,567 @@
+# Distributed Tracing Fundamentals
+
+> **Parent Document**: [OpenTelemetryPlan.md](./OpenTelemetryPlan.md)
+> **Next**: [Architecture Analysis](./01-architecture-analysis.md)
+
+---
+
+## What is Distributed Tracing?
+
+Distributed tracing is a method for tracking data objects as they flow through distributed systems. In a network like XRP Ledger, a single transaction touches multiple independent nodes—each with no shared memory or logging. Distributed tracing connects these dots.
+
+**Without tracing:** You see isolated logs on each node with no way to correlate them.
+
+**With tracing:** You see the complete journey of a transaction or an event across all nodes it touched.
+
+---
+
+## Actors and Actions at a Glance
+
+### Actors
+
+| Who (Plain English)                            | Technical Term  |
+| ---------------------------------------------- | --------------- |
+| A single unit of work being tracked            | Span            |
+| The complete journey of a request              | Trace           |
+| Data that links spans across services          | Trace Context   |
+| Code that creates spans and propagates context | Instrumentation |
+| Service that receives and processes traces     | Collector       |
+| Storage and visualization system               | Backend (Tempo) |
+| Decision logic for which traces to keep        | Sampler         |
+
+### Actions
+
+| What Happens (Plain English)            | Technical Term          |
+| --------------------------------------- | ----------------------- |
+| Start tracking a new operation          | Create a Span           |
+| Connect a child operation to its parent | Set `parent_span_id`    |
+| Group all related operations together   | Share a `trace_id`      |
+| Pass tracking data between services     | Context Propagation     |
+| Decide whether to record a trace        | Sampling (Head or Tail) |
+| Send completed traces to storage        | Export (OTLP)           |
+
+---
+
+## Core Concepts
+
+### 1. Trace
+
+A **trace** represents the entire journey of a request through the system. It has a unique `trace_id` that stays constant across all nodes.
+
+```
+Trace ID: abc123
+├── Node A: received transaction
+├── Node B: relayed transaction
+├── Node C: included in consensus
+└── Node D: applied to ledger
+```
+
+### 2. Span
+
+A **span** represents a single unit of work within a trace. Each span has:
+
+| Attribute        | Description                      | Example                    |
+| ---------------- | -------------------------------- | -------------------------- |
+| `trace_id`       | Identifies the trace             | `event123`                 |
+| `span_id`        | Unique identifier                | `span456`                  |
+| `parent_span_id` | Parent span (if any)             | `p_span123`                |
+| `name`           | Operation name                   | `rpc.submit`               |
+| `start_time`     | When work began (local time)     | `2024-01-15T10:30:00Z`     |
+| `end_time`       | When work completed (local time) | `2024-01-15T10:30:00.050Z` |
+| `attributes`     | Key-value metadata               | `tx.hash=ABC...`           |
+| `status`         | OK, ERROR MSG                    | `OK`                       |
+
+### 3. Trace Context
+
+**Trace context** is the data that propagates between services to link spans together. It contains:
+
+- `trace_id` - The trace this span belongs to
+- `span_id` - The current span (becomes parent for child spans)
+- `trace_flags` - Sampling decisions
+
+---
+
+## How Spans Form a Trace
+
+Spans have parent-child relationships forming a tree structure:
+
+```mermaid
+flowchart TB
+    subgraph trace["Trace: abc123"]
+        A["tx.submit<br/>span_id: 001<br/>50ms"] --> B["tx.validate<br/>span_id: 002<br/>5ms"]
+        A --> C["tx.relay<br/>span_id: 003<br/>10ms"]
+        A --> D["tx.apply<br/>span_id: 004<br/>30ms"]
+        D --> E["ledger.update<br/>span_id: 005<br/>20ms"]
+    end
+
+    style A fill:#0d47a1,stroke:#082f6a,color:#ffffff
+    style B fill:#1b5e20,stroke:#0d3d14,color:#ffffff
+    style C fill:#1b5e20,stroke:#0d3d14,color:#ffffff
+    style D fill:#1b5e20,stroke:#0d3d14,color:#ffffff
+    style E fill:#bf360c,stroke:#8c2809,color:#ffffff
+```
+
+**Reading the diagram:**
+
+- **tx.submit (blue, root)**: The top-level span representing the entire transaction submission; all other spans are its descendants.
+- **tx.validate, tx.relay, tx.apply (green)**: Direct children of tx.submit, representing the three main stages -- validation, relay to peers, and application to the ledger.
+- **ledger.update (red)**: A grandchild span nested under tx.apply, representing the actual ledger state mutation triggered by applying the transaction.
+- **Arrows (parent to child)**: Each arrow indicates a parent-child span relationship where the parent's completion depends on the child finishing.
+
+The same trace visualized as a **timeline (Gantt chart)**:
+
+```
+Time →   0ms    10ms    20ms    30ms    40ms    50ms
+         ├───────────────────────────────────────────┤
+tx.submit│▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓│
+         ├─────┤
+tx.valid │▓▓▓▓▓│
+         │     ├──────────┤
+tx.relay │     │▓▓▓▓▓▓▓▓▓▓│
+         │               ├────────────────────────────┤
+tx.apply │               │▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓│
+         │                         ├──────────────────┤
+ledger   │                         │▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓│
+```
+
+---
+
+## Span Relationships
+
+Spans don't always form simple parent-child trees. Distributed tracing defines several relationship types to capture different causal patterns:
+
+### 1. Parent-Child (ChildOf)
+
+The default relationship. The parent span **depends on** or **contains** the child span. The child runs within the scope of the parent.
+
+```
+tx.submit (parent)
+├── tx.validate (child)     ← parent waits for this
+├── tx.relay (child)        ← parent waits for this
+└── tx.apply (child)        ← parent waits for this
+```
+
+**When to use:** Synchronous calls, nested operations, any case where the parent's completion depends on the child.
+
+### 2. Follows-From
+
+A causal relationship where the first span **triggers** the second, but does **not wait** for it. The originator fires and moves on.
+
+```
+Time →
+
+tx.receive [=======]
+                     ↓ triggers (follows-from)
+              tx.relay   [===========]   ← runs independently
+```
+
+**When to use:** Asynchronous jobs, queued work, fire-and-forget patterns. For example, a node receives a transaction and queues it for relay — the relay span _follows from_ the receive span but the receiver doesn't wait for relaying to complete.
+
+> **OpenTracing** defined `FollowsFrom` as a first-class reference type alongside `ChildOf`.
+> **OpenTelemetry** represents this using **Span Links** with descriptive attributes instead (see below).
+
+### 3. Span Links (Cross-Trace and Non-Hierarchical)
+
+Links connect spans that are **causally related but not in a parent-child hierarchy**. Unlike parent-child, links can cross trace boundaries.
+
+```
+Trace A                          Trace B
+──────                           ──────
+batch.schedule                   batch.execute
+├─ item.enqueue (span X)    ┌──► process.item
+├─ item.enqueue (span Y) ───┤    (links to X, Y, Z)
+├─ item.enqueue (span Z)    └──►
+```
+
+**Use cases:**
+
+| Pattern              | Description                                                                 |
+| -------------------- | --------------------------------------------------------------------------- |
+| **Batch processing** | A batch span links back to all individual spans that contributed to it      |
+| **Fan-in**           | An aggregation span links to the multiple producer spans it merges          |
+| **Fan-out**          | Multiple downstream spans link back to the single span that triggered them  |
+| **Async handoff**    | A deferred job links back to the request that queued it (follows-from)      |
+| **Cross-trace**      | Correlating spans across independent traces (e.g., retries, related events) |
+
+**Link structure:** Each link carries the target span's context plus optional attributes:
+
+```
+Link {
+    trace_id:   <target trace>
+    span_id:    <target span>
+    attributes: { "link.description": "triggered by batch scheduler" }
+}
+```
+
+### Relationship Summary
+
+```mermaid
+flowchart LR
+    subgraph parent_child["Parent-Child"]
+        direction TB
+        P["Parent"] --> C["Child"]
+    end
+
+    subgraph follows_from["Follows-From"]
+        direction TB
+        A["Span A"] -.->|triggers| B["Span B"]
+    end
+
+    subgraph links["Span Links"]
+        direction TB
+        X["Span X\n(Trace 1)"] -.-|link| Y["Span Y\n(Trace 2)"]
+    end
+
+    parent_child ~~~ follows_from ~~~ links
+
+    style P fill:#0d47a1,stroke:#082f6a,color:#ffffff
+    style C fill:#1b5e20,stroke:#0d3d14,color:#ffffff
+    style A fill:#0d47a1,stroke:#082f6a,color:#ffffff
+    style B fill:#bf360c,stroke:#8c2809,color:#ffffff
+    style X fill:#4a148c,stroke:#38006b,color:#ffffff
+    style Y fill:#4a148c,stroke:#38006b,color:#ffffff
+```
+
+| Relationship     | Same Trace? | Dependency?                | OTel Mechanism    |
+| ---------------- | ----------- | -------------------------- | ----------------- |
+| **Parent-Child** | Yes         | Parent depends on child    | `parent_span_id`  |
+| **Follows-From** | Usually     | Causal but no dependency   | Link + attributes |
+| **Span Link**    | Either      | Correlation, no dependency | Link + attributes |
+
+---
+
+## Trace ID Generation
+
+A `trace_id` is a 128-bit (16-byte) identifier that groups all spans belonging to one logical operation. How it's generated determines how easily you can find and correlate traces later.
+
+### General Approaches
+
+#### 1. Random (W3C Default)
+
+Generate a random 128-bit ID when a trace starts. Standard approach for most services.
+
+```
+trace_id = random_128_bits()
+```
+
+| Pros                        | Cons                                          |
+| --------------------------- | --------------------------------------------- |
+| Simple, standard            | No natural correlation to domain events       |
+| Guaranteed unique per trace | If propagation is lost, trace is broken       |
+| Works with all OTel tooling | "Find trace for TX abc" requires index lookup |
+
+#### 2. Deterministic (Derived from Domain Data)
+
+Compute the trace_id from a hash of a natural identifier. Every node independently derives the **same** trace_id for the same event.
+
+```
+trace_id = SHA-256(domain_identifier)[0:16]   // truncate to 128 bits
+```
+
+| Pros                                                | Cons                                                       |
+| --------------------------------------------------- | ---------------------------------------------------------- |
+| Propagation-resilient — same ID computed everywhere | Same event processed twice (retry) shares trace_id         |
+| Natural search — domain ID maps directly to trace   | Non-standard (tooling assumes random)                      |
+| No coordination needed between nodes                | 256→128 bit truncation (collision risk negligible at ~2⁶⁴) |
+
+#### 3. Hybrid (Deterministic Prefix + Random Suffix)
+
+First 8 bytes derived from domain data, last 8 bytes random.
+
+```
+trace_id = SHA-256(domain_identifier)[0:8] || random_64_bits()
+```
+
+| Pros                                        | Cons                                     |
+| ------------------------------------------- | ---------------------------------------- |
+| Prefix search: "find all traces for TX abc" | Must propagate to maintain full trace_id |
+| Unique per processing instance              | More complex generation logic            |
+| Retries get distinct trace_ids              | Partial correlation only (prefix match)  |
+
+### XRPL Workflow Analysis
+
+XRPL has a unique advantage: its core workflows produce **globally unique 256-bit hashes** that are known on every node. This makes deterministic trace_id generation practical in ways most systems can't achieve.
+
+#### Natural Identifiers by Workflow
+
+| Workflow            | Natural Identifier                | Size       | Known at Start?               | Same on All Nodes?               |
+| ------------------- | --------------------------------- | ---------- | ----------------------------- | -------------------------------- |
+| **Transaction**     | Transaction hash (`tid_`)         | 256-bit    | Yes — computed before signing | Yes — hash of canonical tx data  |
+| **Consensus round** | Previous ledger hash + ledger seq | 256+32 bit | Yes — known when round opens  | Yes — all validators agree       |
+| **Validation**      | Ledger hash being validated       | 256-bit    | Yes — from consensus result   | Yes — same closed ledger         |
+| **Ledger catch-up** | Target ledger hash                | 256-bit    | Yes — we know what to fetch   | Yes — identifies ledger globally |
+
+#### Where These Identifiers Live in Code
+
+```
+Transaction:     STTx::getTransactionID()     → uint256 tid_
+                 TMTransaction::rawTransaction → recompute hash from bytes
+
+Consensus:       ConsensusProposal::prevLedger_ → uint256 (previous ledger hash)
+                 ConsensusProposal::position_   → uint256 (TxSet hash)
+                 LedgerHeader::seq              → uint32_t (ledger sequence)
+
+Validation:      STValidation::getLedgerHash()  → uint256
+                 STValidation::getNodeID()      → NodeID (160-bit)
+
+Ledger fetch:    InboundLedger constructor      → uint256 hash, uint32_t seq
+                 TMGetLedger::ledgerHash        → bytes (uint256)
+```
+
+### Recommended Strategy: Workflow-Scoped Deterministic
+
+Each workflow type derives its trace_id from its natural domain identifier:
+
+```
+Transaction trace:   trace_id = SHA-256("tx"    || tx_hash)[0:16]
+Consensus trace:     trace_id = SHA-256("cons"  || prev_ledger_hash || ledger_seq)[0:16]
+Ledger catch-up:     trace_id = SHA-256("fetch" || target_ledger_hash)[0:16]
+```
+
+The string prefix (`"tx"`, `"cons"`, `"fetch"`) prevents collisions between workflows that might share underlying hashes.
+
+**Why this works for XRPL:**
+
+1. **Propagation-resilient** — Even if a P2P message drops trace context, every node independently computes the same trace_id from the same tx_hash or ledger_hash. Spans still correlate.
+
+2. **Zero-cost search** — "Show me the trace for transaction ABC" becomes a direct lookup: compute `SHA-256("tx" || ABC)[0:16]` and query. No secondary index needed.
+
+3. **Cross-workflow linking via Span Links** — A consensus trace links to individual transaction traces. A validation span links to the consensus trace. This connects the full picture without forcing everything into one giant trace.
+
+### Cross-Workflow Correlation
+
+Each workflow gets its own trace. Span Links tie them together:
+
+```mermaid
+flowchart TB
+    subgraph tx_trace["Transaction Trace"]
+        direction LR
+        Tn["trace_id = f(tx_hash)"]:::note --> T1["tx.receive"] --> T2["tx.validate"] --> T3["tx.relay"]
+    end
+
+    subgraph cons_trace["Consensus Trace"]
+        direction LR
+        Cn["trace_id = f(prev_ledger, seq)"]:::note --> C1["cons.open"] --> C2["cons.propose"] --> C3["cons.accept"]
+    end
+
+    subgraph val_trace["Validation"]
+        direction LR
+        Vn["spans within consensus trace"]:::note --> V1["val.create"] --> V2["val.broadcast"]
+    end
+
+    subgraph fetch_trace["Catch-Up Trace"]
+        direction LR
+        Fn["trace_id = f(ledger_hash)"]:::note --> F1["fetch.request"] --> F2["fetch.receive"] --> F3["fetch.apply"]
+    end
+
+    C1 -.-|"span link\n(tx traces)"| T3
+    C3 --> V1
+    F1 -.-|"span link\n(target ledger)"| C3
+
+    classDef note fill:none,stroke:#888,stroke-dasharray:5 5,color:#333,font-style:italic
+    style T1 fill:#0d47a1,stroke:#082f6a,color:#ffffff
+    style T2 fill:#0d47a1,stroke:#082f6a,color:#ffffff
+    style T3 fill:#0d47a1,stroke:#082f6a,color:#ffffff
+    style C1 fill:#1b5e20,stroke:#0d3d14,color:#ffffff
+    style C2 fill:#1b5e20,stroke:#0d3d14,color:#ffffff
+    style C3 fill:#1b5e20,stroke:#0d3d14,color:#ffffff
+    style V1 fill:#bf360c,stroke:#8c2809,color:#ffffff
+    style V2 fill:#bf360c,stroke:#8c2809,color:#ffffff
+    style F1 fill:#4a148c,stroke:#38006b,color:#ffffff
+    style F2 fill:#4a148c,stroke:#38006b,color:#ffffff
+    style F3 fill:#4a148c,stroke:#38006b,color:#ffffff
+```
+
+**Reading the diagram:**
+
+- **Transaction Trace (blue)**: An independent trace whose `trace_id` is deterministically derived from the transaction hash. Contains receive, validate, and relay spans.
+- **Consensus Trace (green)**: An independent trace whose `trace_id` is derived from the previous ledger hash and sequence number. Covers the open, propose, and accept phases.
+- **Validation (red)**: Validation spans live within the consensus trace (not a separate trace). They are created after the accept phase completes.
+- **Catch-Up Trace (purple)**: An independent trace for ledger acquisition, derived from the target ledger hash. Used when a node is behind and fetching missing ledgers.
+- **Dotted arrows (span links)**: Cross-trace correlations. Consensus links to transaction traces it included; catch-up links to the consensus trace that produced the target ledger.
+- **Solid arrow (C3 to V1)**: A parent-child relationship -- validation spans are direct children of the consensus accept span within the same trace.
+
+**How a query flows:**
+
+```
+"Why was TX abc slow?"
+  1. Compute trace_id = SHA-256("tx" || abc)[0:16]
+  2. Find transaction trace → see it was included in consensus round N
+  3. Follow span link → consensus trace for round N
+  4. See which phase was slow (propose? accept?)
+  5. If a node was catching up, follow link → catch-up trace
+```
+
+### Trade-offs to Consider
+
+| Concern                       | Mitigation                                                                                                                    |
+| ----------------------------- | ----------------------------------------------------------------------------------------------------------------------------- |
+| **Retries get same trace_id** | Add `attempt` attribute to root span; spans have unique span_ids and timestamps                                               |
+| **256→128 bit truncation**    | Birthday-bound collision at ~2⁶⁴ operations — negligible for XRPL's throughput                                                |
+| **Non-standard generation**   | OTel spec allows any 16-byte non-zero value; tooling works on the hex string                                                  |
+| **Hash computation cost**     | SHA-256 is ~0.3μs per call; XRPL already computes these hashes for other purposes                                             |
+| **Late-binding identifiers**  | Ledger hash isn't known until after consensus — validation spans use ledger_seq as fallback, then link to the consensus trace |
+
+---
+
+## Distributed Traces Across Nodes
+
+In distributed systems like rippled, traces span **multiple independent nodes**. The trace context must be propagated in network messages:
+
+```mermaid
+sequenceDiagram
+    participant Client
+    participant NodeA as Node A
+    participant NodeB as Node B
+    participant NodeC as Node C
+
+    Client->>NodeA: Submit TX<br/>(no trace context)
+
+    Note over NodeA: Creates new trace<br/>trace_id: abc123<br/>span: tx.receive
+
+    NodeA->>NodeB: Relay TX<br/>(trace_id: abc123, parent: 001)
+
+    Note over NodeB: Creates child span<br/>span: tx.relay<br/>parent_span_id: 001
+
+    NodeA->>NodeC: Relay TX<br/>(trace_id: abc123, parent: 001)
+
+    Note over NodeC: Creates child span<br/>span: tx.relay<br/>parent_span_id: 001
+
+    Note over NodeA,NodeC: All spans share trace_id: abc123<br/>enabling correlation across nodes
+```
+
+**Reading the diagram:**
+
+- **Client**: The external entity that submits a transaction. It does not carry trace context -- the trace originates at the first node.
+- **Node A**: The entry point that creates a new trace (trace_id: abc123) and the root span `tx.receive`. It relays the transaction to peers with trace context attached.
+- **Node B and Node C**: Peer nodes that receive the relayed transaction along with the propagated trace context. Each creates a child span under Node A's span, preserving the same `trace_id`.
+- **Arrows with trace context**: The relay messages carry `trace_id` and `parent_span_id`, allowing each downstream node to link its spans back to the originating span on Node A.
+
+---
+
+## Context Propagation
+
+For traces to work across nodes, **trace context must be propagated** in messages.
+
+### What's in the Context (~26 bytes)
+
+| Field         | Size     | Description                                             |
+| ------------- | -------- | ------------------------------------------------------- |
+| `trace_id`    | 16 bytes | Identifies the entire trace (constant across all nodes) |
+| `span_id`     | 8 bytes  | The sender's current span (becomes parent on receiver)  |
+| `trace_flags` | 1 byte   | Sampling decision (bit 0 = sampled; bits 1-7 reserved)  |
+| `trace_state` | variable | Optional vendor-specific data (typically omitted)       |
+
+### How span_id Changes at Each Hop
+
+Only **one** `span_id` travels in the context - the sender's current span. Each node:
+
+1. Extracts the received `span_id` and uses it as the `parent_span_id`
+2. Creates a **new** `span_id` for its own span
+3. Sends its own `span_id` as the parent when forwarding
+
+```
+Node A                      Node B                      Node C
+──────                      ──────                      ──────
+
+Span AAA                    Span BBB                    Span CCC
+   │                           │                           │
+   ▼                           ▼                           ▼
+Context out:                Context out:                Context out:
+├─ trace_id: abc123         ├─ trace_id: abc123         ├─ trace_id: abc123
+├─ span_id: AAA ──────────► ├─ span_id: BBB ──────────► ├─ span_id: CCC ──────►
+└─ flags: 01                └─ flags: 01                └─ flags: 01
+                               │                           │
+                          parent = AAA               parent = BBB
+```
+
+The `trace_id` stays constant, but `span_id` **changes at every hop** to maintain the parent-child chain.
+
+### Propagation Formats
+
+There are two patterns:
+
+### HTTP/RPC Headers (W3C Trace Context)
+
+```
+traceparent: 00-4bf92f3577b34da6a3ce929d0e0e4736-00f067aa0ba902b7-01
+             │  │                                │                │
+             │  │                                │                └── Flags (sampled)
+             │  │                                └── Parent span ID (16 hex)
+             │  └── Trace ID (32 hex)
+             └── Version
+```
+
+### Protocol Buffers (rippled P2P messages)
+
+```protobuf
+message TMTransaction {
+    bytes rawTransaction = 1;
+    // ... existing fields ...
+
+    // Trace context extension
+    bytes trace_parent = 100;  // W3C traceparent
+    bytes trace_state = 101;   // W3C tracestate
+}
+```
+
+---
+
+## Sampling
+
+Not every trace needs to be recorded. **Sampling** reduces overhead:
+
+### Head Sampling (at trace start)
+
+```
+Request arrives → Random 10% chance → Record or skip entire trace
+```
+
+- ✅ Low overhead
+- ❌ May miss interesting traces
+
+### Tail Sampling (after trace completes)
+
+```
+Trace completes → Collector evaluates:
+                  - Error? → KEEP
+                  - Slow? → KEEP
+                  - Normal? → Sample 10%
+```
+
+- ✅ Never loses important traces
+- ❌ Higher memory usage at collector
+
+---
+
+## Key Benefits for rippled
+
+| Challenge                          | How Tracing Helps                        |
+| ---------------------------------- | ---------------------------------------- |
+| "Where is my transaction?"         | Follow trace across all nodes it touched |
+| "Why was consensus slow?"          | See timing breakdown of each phase       |
+| "Which node is the bottleneck?"    | Compare span durations across nodes      |
+| "What happened during the outage?" | Correlate errors across the network      |
+
+---
+
+## Glossary
+
+| Term                 | Definition                                                          |
+| -------------------- | ------------------------------------------------------------------- |
+| **Trace**            | Complete journey of a request, identified by `trace_id`             |
+| **Span**             | Single operation within a trace                                     |
+| **Parent-Child**     | Span relationship where the parent depends on the child             |
+| **Follows-From**     | Causal relationship where originator doesn't wait for the result    |
+| **Span Link**        | Non-hierarchical connection between spans, possibly across traces   |
+| **Deterministic ID** | Trace ID derived from domain data (e.g., tx_hash) instead of random |
+| **Context**          | Data propagated between services (`trace_id`, `span_id`, flags)     |
+| **Instrumentation**  | Code that creates spans and propagates context                      |
+| **Collector**        | Service that receives, processes, and exports traces                |
+| **Backend**          | Storage/visualization system (Tempo)                                |
+| **Head Sampling**    | Sampling decision at trace start                                    |
+| **Tail Sampling**    | Sampling decision after trace completes                             |
+
+---
+
+_Next: [Architecture Analysis](./01-architecture-analysis.md)_ | _Back to: [Overview](./OpenTelemetryPlan.md)_
--- a/OpenTelemetryPlan/01-architecture-analysis.md
+++ b/OpenTelemetryPlan/01-architecture-analysis.md
@@ -0,0 +1,467 @@
+# Architecture Analysis
+
+> **Parent Document**: [OpenTelemetryPlan.md](./OpenTelemetryPlan.md)
+> **Related**: [Design Decisions](./02-design-decisions.md) | [Implementation Strategy](./03-implementation-strategy.md)
+
+---
+
+## 1.1 Current rippled Architecture Overview
+
+> **WS** = WebSocket | **UNL** = Unique Node List | **TxQ** = Transaction Queue | **StatsD** = Statistics Daemon
+
+The rippled node software consists of several interconnected components that need instrumentation for distributed tracing:
+
+```mermaid
+flowchart TB
+    subgraph rippled["rippled Node"]
+        subgraph services["Core Services"]
+            RPC["RPC Server<br/>(HTTP/WS/gRPC)"]
+            Overlay["Overlay<br/>(P2P Network)"]
+            Consensus["Consensus<br/>(RCLConsensus)"]
+            ValidatorList["ValidatorList<br/>(UNL Mgmt)"]
+        end
+
+        JobQueue["JobQueue<br/>(Thread Pool)"]
+
+        subgraph processing["Processing Layer"]
+            NetworkOPs["NetworkOPs<br/>(Tx Processing)"]
+            LedgerMaster["LedgerMaster<br/>(Ledger Mgmt)"]
+            NodeStore["NodeStore<br/>(Database)"]
+            InboundLedgers["InboundLedgers<br/>(Ledger Sync)"]
+        end
+
+        subgraph appservices["Application Services"]
+            PathFind["PathFinding<br/>(Payment Paths)"]
+            TxQ["TxQ<br/>(Fee Escalation)"]
+            LoadMgr["LoadManager<br/>(Fee/Load)"]
+        end
+
+        subgraph observability["Existing Observability"]
+            PerfLog["PerfLog<br/>(JSON)"]
+            Insight["Insight<br/>(StatsD)"]
+            Logging["Logging<br/>(Journal)"]
+        end
+
+        services --> JobQueue
+        JobQueue --> processing
+        JobQueue --> appservices
+    end
+
+    style rippled fill:#424242,stroke:#212121,color:#ffffff
+    style services fill:#1565c0,stroke:#0d47a1,color:#ffffff
+    style processing fill:#2e7d32,stroke:#1b5e20,color:#ffffff
+    style appservices fill:#6a1b9a,stroke:#4a148c,color:#ffffff
+    style observability fill:#e65100,stroke:#bf360c,color:#ffffff
+```
+
+**Reading the diagram:**
+
+- **Core Services (blue)**: The entry points into rippled -- RPC Server handles client requests, Overlay manages peer-to-peer networking, Consensus drives agreement, and ValidatorList manages trusted validators.
+- **JobQueue (center)**: The asynchronous thread pool that decouples Core Services from the Processing and Application layers. All work flows through it.
+- **Processing Layer (green)**: Core business logic -- NetworkOPs processes transactions, LedgerMaster manages ledger state, NodeStore handles persistence, and InboundLedgers synchronizes missing data.
+- **Application Services (purple)**: Higher-level features -- PathFinding computes payment routes, TxQ manages fee-based queuing, and LoadManager tracks server load.
+- **Existing Observability (orange)**: The current monitoring stack (PerfLog, Insight, Journal logging) that OpenTelemetry will complement, not replace.
+- **Arrows (Services to JobQueue to layers)**: Work originates at Core Services, is enqueued onto the JobQueue, and dispatched to Processing or Application layers for execution.
+
+---
+
+## 1.1.1 Actors and Actions
+
+### Actors
+
+| Who (Plain English)                       | Technical Term             |
+| ----------------------------------------- | -------------------------- |
+| Network node running XRPL software        | rippled node               |
+| External client submitting requests       | RPC Client                 |
+| Network neighbor sharing data             | Peer (PeerImp)             |
+| Request handler for client queries        | RPC Server (ServerHandler) |
+| Command executor for specific RPC methods | RPCHandler                 |
+| Agreement process between nodes           | Consensus (RCLConsensus)   |
+| Transaction processing coordinator        | NetworkOPs                 |
+| Background task scheduler                 | JobQueue                   |
+| Ledger state manager                      | LedgerMaster               |
+| Payment route calculator                  | PathFinding (Pathfinder)   |
+| Transaction waiting room                  | TxQ (Transaction Queue)    |
+| Fee adjustment system                     | LoadManager                |
+| Trusted validator list manager            | ValidatorList              |
+| Protocol upgrade tracker                  | AmendmentTable             |
+| Ledger state hash tree                    | SHAMap                     |
+| Persistent key-value storage              | NodeStore                  |
+
+### Actions
+
+| What Happens (Plain English)                   | Technical Term         |
+| ---------------------------------------------- | ---------------------- |
+| Client sends a request to a node               | `rpc.request`          |
+| Node executes a specific RPC command           | `rpc.command.*`        |
+| Node receives a transaction from a peer        | `tx.receive`           |
+| Node checks if a transaction is valid          | `tx.validate`          |
+| Node forwards a transaction to neighbors       | `tx.relay`             |
+| Nodes agree on which transactions to include   | `consensus.round`      |
+| Consensus progresses through phases            | `consensus.phase.*`    |
+| Node builds a new confirmed ledger             | `ledger.build`         |
+| Node fetches missing ledger data from peers    | `ledger.acquire`       |
+| Node computes payment routes                   | `pathfind.compute`     |
+| Node queues a transaction for later processing | `txq.enqueue`          |
+| Node increases fees due to high load           | `fee.escalate`         |
+| Node fetches the latest trusted validator list | `validator.list.fetch` |
+| Node votes on a protocol amendment             | `amendment.vote`       |
+| Node synchronizes state tree data              | `shamap.sync`          |
+
+---
+
+## 1.2 Key Components for Instrumentation
+
+> **TxQ** = Transaction Queue | **UNL** = Unique Node List
+
+| Component          | Location                                   | Purpose                  | Trace Value                      |
+| ------------------ | ------------------------------------------ | ------------------------ | -------------------------------- |
+| **Overlay**        | `src/xrpld/overlay/`                       | P2P communication        | Message propagation timing       |
+| **PeerImp**        | `src/xrpld/overlay/detail/PeerImp.cpp`     | Individual peer handling | Per-peer latency                 |
+| **RCLConsensus**   | `src/xrpld/app/consensus/RCLConsensus.cpp` | Consensus algorithm      | Round timing, phase analysis     |
+| **NetworkOPs**     | `src/xrpld/app/misc/NetworkOPs.cpp`        | Transaction processing   | Tx lifecycle tracking            |
+| **ServerHandler**  | `src/xrpld/rpc/detail/ServerHandler.cpp`   | RPC entry point          | Request latency                  |
+| **RPCHandler**     | `src/xrpld/rpc/detail/RPCHandler.cpp`      | Command execution        | Per-command timing               |
+| **JobQueue**       | `src/xrpl/core/JobQueue.h`                 | Async task execution     | Queue wait times                 |
+| **PathFinding**    | `src/xrpld/app/paths/`                     | Payment path computation | Path latency, cache hits         |
+| **TxQ**            | `src/xrpld/app/misc/TxQ.cpp`               | Transaction queue/fees   | Queue depth, eviction rates      |
+| **LoadManager**    | `src/xrpld/app/main/LoadManager.cpp`       | Fee escalation/load      | Fee levels, load factors         |
+| **InboundLedgers** | `src/xrpld/app/ledger/InboundLedgers.cpp`  | Ledger acquisition       | Sync time, peer reliability      |
+| **ValidatorList**  | `src/xrpld/app/misc/ValidatorList.cpp`     | UNL management           | List freshness, fetch failures   |
+| **AmendmentTable** | `src/xrpld/app/misc/AmendmentTable.cpp`    | Protocol amendments      | Voting status, activation events |
+| **SHAMap**         | `src/xrpld/shamap/`                        | State hash tree          | Sync speed, missing nodes        |
+
+---
+
+## 1.3 Transaction Flow Diagram
+
+Transaction flow spans multiple nodes in the network. Each node creates linked spans to form a distributed trace:
+
+```mermaid
+sequenceDiagram
+    participant Client
+    participant PeerA as Peer A (Receive)
+    participant PeerB as Peer B (Relay)
+    participant PeerC as Peer C (Validate)
+
+    Client->>PeerA: 1. Submit TX
+
+    rect rgb(230, 245, 255)
+        Note over PeerA: tx.receive SPAN START
+        PeerA->>PeerA: HashRouter Deduplication
+        PeerA->>PeerA: tx.validate (child span)
+    end
+
+    PeerA->>PeerB: 2. Relay TX (with trace ctx)
+
+    rect rgb(230, 245, 255)
+        Note over PeerB: tx.receive (linked span)
+    end
+
+    PeerB->>PeerC: 3. Relay TX
+
+    rect rgb(230, 245, 255)
+        Note over PeerC: tx.receive (linked span)
+        PeerC->>PeerC: tx.process
+    end
+
+    Note over Client,PeerC: DISTRIBUTED TRACE (same trace_id: abc123)
+```
+
+**Reading the diagram:**
+
+- **Client**: The external entity that submits a transaction to Peer A. It has no trace context -- the trace starts at the first node.
+- **Peer A (Receive)**: The entry node that creates the root span `tx.receive`, runs HashRouter deduplication to avoid processing duplicates, and creates a child `tx.validate` span.
+- **Peer A to Peer B arrow**: The relay message carries trace context (trace_id + parent span_id), enabling Peer B to create a linked span under the same trace.
+- **Peer B (Relay)**: Receives the transaction and trace context, creates a `tx.receive` span linked to Peer A's trace, then relays onward.
+- **Peer C (Validate)**: Final hop in this example. Creates a linked `tx.receive` span and runs `tx.process` to fully process the transaction.
+- **Blue rectangles**: Highlight the span boundaries on each node, showing where instrumentation creates and closes spans.
+
+### Trace Structure
+
+```
+trace_id: abc123
+├── span: tx.receive (Peer A)
+│   ├── span: tx.validate
+│   └── span: tx.relay
+├── span: tx.receive (Peer B) [parent: Peer A]
+│   └── span: tx.relay
+└── span: tx.receive (Peer C) [parent: Peer B]
+    └── span: tx.process
+```
+
+---
+
+## 1.4 Consensus Round Flow
+
+Consensus rounds are multi-phase operations that benefit significantly from tracing:
+
+```mermaid
+flowchart TB
+    subgraph round["consensus.round (root span)"]
+        attrs["Attributes:<br/>xrpl.consensus.ledger.seq = 12345678<br/>xrpl.consensus.mode = proposing<br/>xrpl.consensus.proposers = 35"]
+
+        subgraph open["consensus.phase.open"]
+            open_desc["Duration: ~3s<br/>Waiting for transactions"]
+        end
+
+        subgraph establish["consensus.phase.establish"]
+            est_attrs["proposals_received = 28<br/>disputes_resolved = 3"]
+            est_children["├── consensus.proposal.receive (×28)<br/>├── consensus.proposal.send (×1)<br/>└── consensus.dispute.resolve (×3)"]
+        end
+
+        subgraph accept["consensus.phase.accept"]
+            acc_attrs["transactions_applied = 150<br/>ledger.hash = DEF456..."]
+            acc_children["├── ledger.build<br/>└── ledger.validate"]
+        end
+
+        attrs --> open
+        open --> establish
+        establish --> accept
+    end
+
+    style round fill:#f57f17,stroke:#e65100,color:#ffffff
+    style open fill:#1565c0,stroke:#0d47a1,color:#ffffff
+    style establish fill:#2e7d32,stroke:#1b5e20,color:#ffffff
+    style accept fill:#c2185b,stroke:#880e4f,color:#ffffff
+```
+
+**Reading the diagram:**
+
+- **consensus.round (orange, root span)**: The top-level span encompassing the entire consensus round, with attributes like ledger sequence, mode, and proposer count.
+- **consensus.phase.open (blue)**: The first phase where the node waits (~3s) to collect incoming transactions before proposing.
+- **consensus.phase.establish (green)**: The negotiation phase where validators exchange proposals, resolve disputes, and converge on a transaction set. Child spans track each proposal received/sent and each dispute resolved.
+- **consensus.phase.accept (pink)**: The final phase where the agreed transaction set is applied, a new ledger is built, and the ledger is validated. Child spans cover `ledger.build` and `ledger.validate`.
+- **Arrows (open to establish to accept)**: The sequential flow through the three consensus phases. Each phase must complete before the next begins.
+
+---
+
+## 1.5 RPC Request Flow
+
+> **WS** = WebSocket
+
+RPC requests support W3C Trace Context headers for distributed tracing across services:
+
+```mermaid
+flowchart TB
+    subgraph request["rpc.request (root span)"]
+        http["HTTP Request — POST /<br/>traceparent:<br/>00-abc123...-def456...-01"]
+
+        attrs["Attributes:<br/>http.method = POST<br/>net.peer.ip = 192.168.1.100<br/>xrpl.rpc.command = submit"]
+
+        subgraph enqueue["jobqueue.enqueue"]
+            job_attr["xrpl.job.type = jtCLIENT_RPC"]
+        end
+
+        subgraph command["rpc.command.submit"]
+            cmd_attrs["xrpl.rpc.version = 2<br/>xrpl.rpc.role = user"]
+            cmd_children["├── tx.deserialize<br/>├── tx.validate_local<br/>└── tx.submit_to_network"]
+        end
+
+        response["Response: 200 OK<br/>Duration: 45ms"]
+
+        http --> attrs
+        attrs --> enqueue
+        enqueue --> command
+        command --> response
+    end
+
+    style request fill:#2e7d32,stroke:#1b5e20,color:#ffffff
+    style enqueue fill:#1565c0,stroke:#0d47a1,color:#ffffff
+    style command fill:#e65100,stroke:#bf360c,color:#ffffff
+```
+
+**Reading the diagram:**
+
+- **rpc.request (green, root span)**: The outermost span representing the full RPC request lifecycle, from HTTP receipt to response. Carries the W3C `traceparent` header for distributed tracing.
+- **HTTP Request node**: Shows the incoming POST request with its `traceparent` header and extracted attributes (method, peer IP, command name).
+- **jobqueue.enqueue (blue)**: The span covering the asynchronous handoff from the RPC thread to the JobQueue worker thread. The trace context is preserved across this async boundary.
+- **rpc.command.submit (orange)**: The span for the actual command execution, with child spans for deserialization, local validation, and network submission.
+- **Response node**: The final output with HTTP status and total duration, marking the end of the root span.
+- **Arrows (top to bottom)**: The sequential processing pipeline -- receive request, extract attributes, enqueue job, execute command, return response.
+
+---
+
+## 1.6 Key Trace Points
+
+> **TxQ** = Transaction Queue
+
+The following table identifies priority instrumentation points across the codebase:
+
+| Category        | Span Name              | File                   | Method                  | Priority |
+| --------------- | ---------------------- | ---------------------- | ----------------------- | -------- |
+| **Transaction** | `tx.receive`           | `PeerImp.cpp`          | `handleTransaction()`   | High     |
+| **Transaction** | `tx.validate`          | `NetworkOPs.cpp`       | `processTransaction()`  | High     |
+| **Transaction** | `tx.process`           | `NetworkOPs.cpp`       | `doTransactionSync()`   | High     |
+| **Transaction** | `tx.relay`             | `OverlayImpl.cpp`      | `relay()`               | Medium   |
+| **Consensus**   | `consensus.round`      | `RCLConsensus.cpp`     | `startRound()`          | High     |
+| **Consensus**   | `consensus.phase.*`    | `Consensus.h`          | `timerEntry()`          | High     |
+| **Consensus**   | `consensus.proposal.*` | `RCLConsensus.cpp`     | `peerProposal()`        | Medium   |
+| **RPC**         | `rpc.request`          | `ServerHandler.cpp`    | `onRequest()`           | High     |
+| **RPC**         | `rpc.command.*`        | `RPCHandler.cpp`       | `doCommand()`           | High     |
+| **Peer**        | `peer.connect`         | `OverlayImpl.cpp`      | `onHandoff()`           | Low      |
+| **Peer**        | `peer.message.*`       | `PeerImp.cpp`          | `onMessage()`           | Low      |
+| **Ledger**      | `ledger.acquire`       | `InboundLedgers.cpp`   | `acquire()`             | Medium   |
+| **Ledger**      | `ledger.build`         | `RCLConsensus.cpp`     | `buildLCL()`            | High     |
+| **PathFinding** | `pathfind.request`     | `PathRequest.cpp`      | `doUpdate()`            | High     |
+| **PathFinding** | `pathfind.compute`     | `Pathfinder.cpp`       | `findPaths()`           | High     |
+| **TxQ**         | `txq.enqueue`          | `TxQ.cpp`              | `apply()`               | High     |
+| **TxQ**         | `txq.apply`            | `TxQ.cpp`              | `processClosedLedger()` | High     |
+| **Fee**         | `fee.escalate`         | `LoadManager.cpp`      | `raiseLocalFee()`       | Medium   |
+| **Ledger**      | `ledger.replay`        | `LedgerReplayer.h`     | `replay()`              | Medium   |
+| **Ledger**      | `ledger.delta`         | `LedgerDeltaAcquire.h` | `processData()`         | Medium   |
+| **Validator**   | `validator.list.fetch` | `ValidatorList.cpp`    | `verify()`              | Medium   |
+| **Validator**   | `validator.manifest`   | `Manifest.cpp`         | `applyManifest()`       | Low      |
+| **Amendment**   | `amendment.vote`       | `AmendmentTable.cpp`   | `doVoting()`            | Low      |
+| **SHAMap**      | `shamap.sync`          | `SHAMap.cpp`           | `fetchRoot()`           | Medium   |
+
+---
+
+## 1.7 Instrumentation Priority
+
+> **TxQ** = Transaction Queue
+
+```mermaid
+quadrantChart
+    title Instrumentation Priority Matrix
+    x-axis Low Complexity --> High Complexity
+    y-axis Low Value --> High Value
+    quadrant-1 Implement First
+    quadrant-2 Plan Carefully
+    quadrant-3 Quick Wins
+    quadrant-4 Consider Later
+
+    RPC Tracing: [0.2, 0.92]
+    Transaction Tracing: [0.55, 0.88]
+    Consensus Tracing: [0.78, 0.82]
+    PathFinding: [0.38, 0.75]
+    TxQ and Fees: [0.25, 0.65]
+    Ledger Sync: [0.62, 0.58]
+    Peer Message Tracing: [0.35, 0.25]
+    JobQueue Tracing: [0.2, 0.48]
+    Validator Mgmt: [0.48, 0.42]
+    Amendment Tracking: [0.15, 0.32]
+    SHAMap Operations: [0.72, 0.45]
+```
+
+---
+
+## 1.8 Observable Outcomes
+
+> **TxQ** = Transaction Queue | **UNL** = Unique Node List
+
+After implementing OpenTelemetry, operators and developers will gain visibility into the following:
+
+### 1.8.1 What You Will See: Traces
+
+| Trace Type                 | Description                                                                                 | Example Query in Grafana/Tempo                         |
+| -------------------------- | ------------------------------------------------------------------------------------------- | ------------------------------------------------------ |
+| **Transaction Lifecycle**  | Full journey from RPC submission through validation, relay, consensus, and ledger inclusion | `{service.name="rippled" && xrpl.tx.hash="ABC123..."}` |
+| **Cross-Node Propagation** | Transaction path across multiple rippled nodes with timing                                  | `{xrpl.tx.relay_count > 0}`                            |
+| **Consensus Rounds**       | Complete round with all phases (open, establish, accept)                                    | `{span.name=~"consensus.round.*"}`                     |
+| **RPC Request Processing** | Individual command execution with timing breakdown                                          | `{xrpl.rpc.command="account_info"}`                    |
+| **Ledger Acquisition**     | Peer-to-peer ledger data requests and responses                                             | `{span.name="ledger.acquire"}`                         |
+| **PathFinding Latency**    | Path computation time and cache effectiveness for payment RPCs                              | `{span.name="pathfind.compute"}`                       |
+| **TxQ Behavior**           | Queue depth, eviction patterns, fee escalation during congestion                            | `{span.name=~"txq.*"}`                                 |
+| **Ledger Sync**            | Full acquisition timeline including delta and transaction fetches                           | `{span.name=~"ledger.acquire.*"}`                      |
+| **Validator Health**       | UNL fetch success, manifest updates, stale list detection                                   | `{span.name=~"validator.*"}`                           |
+
+### 1.8.2 What You Will See: Metrics (Derived from Traces)
+
+| Metric                        | Description                             | Dashboard Panel             |
+| ----------------------------- | --------------------------------------- | --------------------------- |
+| **RPC Latency (p50/p95/p99)** | Response time distribution per command  | Heatmap by command          |
+| **Transaction Throughput**    | Transactions processed per second       | Time series graph           |
+| **Consensus Round Duration**  | Time to complete consensus phases       | Histogram                   |
+| **Cross-Node Latency**        | Time for transaction to reach N nodes   | Line chart with percentiles |
+| **Error Rate**                | Failed transactions/RPC calls by type   | Stacked bar chart           |
+| **PathFinding Latency**       | Path computation time per currency pair | Heatmap by currency         |
+| **TxQ Depth**                 | Queued transactions over time           | Time series with thresholds |
+| **Fee Escalation Level**      | Current fee multiplier                  | Gauge with alert thresholds |
+| **Ledger Sync Duration**      | Time to acquire missing ledgers         | Histogram                   |
+
+### 1.8.3 Concrete Dashboard Examples
+
+**Transaction Trace View (Tempo):**
+
+```
+┌────────────────────────────────────────────────────────────────────────────────┐
+│ Trace: abc123... (Transaction Submission)                    Duration: 847ms   │
+├────────────────────────────────────────────────────────────────────────────────┤
+│ ├── rpc.request [ServerHandler]                              ████░░░░░░  45ms  │
+│ │   └── rpc.command.submit [RPCHandler]                      ████░░░░░░  42ms  │
+│ │       └── tx.receive [NetworkOPs]                          ███░░░░░░░  35ms  │
+│ │           ├── tx.validate [TxQ]                            █░░░░░░░░░   8ms  │
+│ │           └── tx.relay [Overlay]                           ██░░░░░░░░  15ms  │
+│ │               ├── tx.receive [Node-B]                      █████░░░░░  52ms  │
+│ │               │   └── tx.relay [Node-B]                    ██░░░░░░░░  18ms  │
+│ │               └── tx.receive [Node-C]                      ██████░░░░  65ms  │
+│ └── consensus.round [RCLConsensus]                           ████████░░ 720ms  │
+│     ├── consensus.phase.open                                 ██░░░░░░░░ 180ms  │
+│     ├── consensus.phase.establish                            █████░░░░░ 480ms  │
+│     └── consensus.phase.accept                               █░░░░░░░░░  60ms  │
+└────────────────────────────────────────────────────────────────────────────────┘
+```
+
+**RPC Performance Dashboard Panel:**
+
+```
+┌─────────────────────────────────────────────────────────────┐
+│ RPC Command Latency (Last 1 Hour)                           │
+├─────────────────────────────────────────────────────────────┤
+│ Command          │ p50    │ p95    │ p99    │ Errors │ Rate │
+│──────────────────┼────────┼────────┼────────┼────────┼──────│
+│ account_info     │  12ms  │  45ms  │  89ms  │  0.1%  │ 150/s│
+│ submit           │  35ms  │ 120ms  │ 250ms  │  2.3%  │  45/s│
+│ ledger           │   8ms  │  25ms  │  55ms  │  0.0%  │  80/s│
+│ tx               │  15ms  │  50ms  │ 100ms  │  0.5%  │  60/s│
+│ server_info      │   5ms  │  12ms  │  20ms  │  0.0%  │ 200/s│
+└─────────────────────────────────────────────────────────────┘
+```
+
+**Consensus Health Dashboard Panel:**
+
+```mermaid
+---
+config:
+    xyChart:
+        width: 1200
+        height: 400
+        plotReservedSpacePercent: 50
+        chartOrientation: vertical
+    themeVariables:
+        xyChart:
+            plotColorPalette: "#3498db"
+---
+xychart-beta
+    title "Consensus Round Duration (Last 24 Hours)"
+    x-axis "Time of Day (Hours)" [0, 2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24]
+    y-axis "Duration (seconds)" 1 --> 5
+    line [2.1, 2.4, 2.8, 3.2, 3.8, 4.3, 4.5, 5.0, 4.7, 4.0, 3.2, 2.6, 2.0]
+```
+
+### 1.8.4 Operator Actionable Insights
+
+| Scenario                  | What You'll See                                                              | Action                                           |
+| ------------------------- | ---------------------------------------------------------------------------- | ------------------------------------------------ |
+| **Slow RPC**              | Span showing which phase is slow (parsing, execution, serialization)         | Optimize specific code path                      |
+| **Transaction Stuck**     | Trace stops at validation; error attribute shows reason                      | Fix transaction parameters                       |
+| **Consensus Delay**       | Phase.establish taking too long; proposer attribute shows missing validators | Investigate network connectivity                 |
+| **Memory Spike**          | Large batch of spans correlating with memory increase                        | Tune batch_size or sampling                      |
+| **Network Partition**     | Traces missing cross-node links for specific peer                            | Check peer connectivity                          |
+| **Path Computation Slow** | pathfind.compute span shows high latency; cache miss rate in attributes      | Warm the RippleLineCache, check order book depth |
+| **TxQ Full**              | txq.enqueue spans show evictions; fee.escalate spans increasing              | Monitor fee levels, alert operators              |
+| **Ledger Sync Stalled**   | ledger.acquire spans timing out; peer reliability attributes show issues     | Check peer connectivity, add trusted peers       |
+| **UNL Stale**             | validator.list.fetch spans failing; last_update attribute aging              | Verify validator site URLs, check DNS            |
+
+### 1.8.5 Developer Debugging Workflow
+
+1. **Find Transaction**: Query by `xrpl.tx.hash` to get full trace
+2. **Identify Bottleneck**: Look at span durations to find slowest component
+3. **Check Attributes**: Review `xrpl.tx.validity`, `xrpl.rpc.status` for errors
+4. **Correlate Logs**: Use `trace_id` to find related PerfLog entries
+5. **Compare Nodes**: Filter by `service.instance.id` to compare behavior across nodes
+
+---
+
+_Next: [Design Decisions](./02-design-decisions.md)_ | _Back to: [Overview](./OpenTelemetryPlan.md)_
--- a/OpenTelemetryPlan/02-design-decisions.md
+++ b/OpenTelemetryPlan/02-design-decisions.md
@@ -0,0 +1,631 @@
+# Design Decisions
+
+> **Parent Document**: [OpenTelemetryPlan.md](./OpenTelemetryPlan.md)
+> **Related**: [Architecture Analysis](./01-architecture-analysis.md) | [Code Samples](./04-code-samples.md)
+
+---
+
+## 2.1 OpenTelemetry Components
+
+> **OTLP** = OpenTelemetry Protocol
+
+### 2.1.1 SDK Selection
+
+**Primary Choice**: OpenTelemetry C++ SDK (`opentelemetry-cpp`)
+
+| Component                               | Purpose                | Required    |
+| --------------------------------------- | ---------------------- | ----------- |
+| `opentelemetry-cpp::api`                | Tracing API headers    | Yes         |
+| `opentelemetry-cpp::sdk`                | SDK implementation     | Yes         |
+| `opentelemetry-cpp::ext`                | Extensions (exporters) | Yes         |
+| `opentelemetry-cpp::otlp_grpc_exporter` | OTLP/gRPC export       | Recommended |
+| `opentelemetry-cpp::otlp_http_exporter` | OTLP/HTTP export       | Alternative |
+
+### 2.1.2 Instrumentation Strategy
+
+**Manual Instrumentation** (recommended):
+
+| Approach   | Pros                                                              | Cons                                                    |
+| ---------- | ----------------------------------------------------------------- | ------------------------------------------------------- |
+| **Manual** | Precise control, optimized placement, rippled-specific attributes | More development effort                                 |
+| **Auto**   | Less code, automatic coverage                                     | Less control, potential overhead, limited customization |
+
+---
+
+## 2.2 Exporter Configuration
+
+> **OTLP** = OpenTelemetry Protocol
+
+```mermaid
+flowchart TB
+    subgraph nodes["rippled Nodes"]
+        node1["rippled<br/>Node 1"]
+        node2["rippled<br/>Node 2"]
+        node3["rippled<br/>Node 3"]
+    end
+
+    collector["OpenTelemetry<br/>Collector<br/>(sidecar or standalone)"]
+
+    subgraph backends["Observability Backends"]
+        tempo["Tempo"]
+        elastic["Elastic<br/>APM"]
+    end
+
+    node1 -->|"OTLP/gRPC<br/>:4317"| collector
+    node2 -->|"OTLP/gRPC<br/>:4317"| collector
+    node3 -->|"OTLP/gRPC<br/>:4317"| collector
+
+    collector --> tempo
+    collector --> elastic
+
+    style nodes fill:#0d47a1,stroke:#082f6a,color:#ffffff
+    style backends fill:#1b5e20,stroke:#0d3d14,color:#ffffff
+    style collector fill:#bf360c,stroke:#8c2809,color:#ffffff
+```
+
+**Reading the diagram:**
+
+- **rippled Nodes (blue)**: The source of telemetry data. Each rippled node exports spans via OTLP/gRPC on port 4317.
+- **OpenTelemetry Collector (red)**: The central aggregation point that receives spans from all nodes. Can run as a sidecar (per-node) or standalone (shared). Handles batching, filtering, and routing.
+- **Observability Backends (green)**: The storage and visualization destinations. Tempo is the recommended backend for both development and production, and Elastic APM is an alternative. The Collector routes to one or more backends.
+- **Arrows (nodes to collector to backends)**: The data pipeline -- spans flow from nodes to the Collector over gRPC, then the Collector fans out to the configured backends.
+
+### 2.2.1 OTLP/gRPC (Recommended)
+
+```cpp
+// Configuration for OTLP over gRPC
+namespace otlp = opentelemetry::exporter::otlp;
+
+otlp::OtlpGrpcExporterOptions opts;
+opts.endpoint = "localhost:4317";
+opts.useTls = true;
+opts.sslCaCertPath = "/path/to/ca.crt";
+```
+
+### 2.2.2 OTLP/HTTP (Alternative)
+
+```cpp
+// Configuration for OTLP over HTTP
+namespace otlp = opentelemetry::exporter::otlp;
+
+otlp::OtlpHttpExporterOptions opts;
+opts.url = "http://localhost:4318/v1/traces";
+opts.content_type = otlp::HttpRequestContentType::kJson;  // or kBinary
+```
+
+---
+
+## 2.3 Span Naming Conventions
+
+> **TxQ** = Transaction Queue | **UNL** = Unique Node List | **WS** = WebSocket
+
+### 2.3.1 Naming Schema
+
+```
+<component>.<operation>[.<sub-operation>]
+```
+
+**Examples**:
+
+- `tx.receive` - Transaction received from peer
+- `consensus.phase.establish` - Consensus establish phase
+- `rpc.command.server_info` - server_info RPC command
+
+### 2.3.2 Complete Span Catalog
+
+```yaml
+# Transaction Spans
+tx:
+  receive: "Transaction received from network"
+  validate: "Transaction signature/format validation"
+  process: "Full transaction processing"
+  relay: "Transaction relay to peers"
+  apply: "Apply transaction to ledger"
+
+# Consensus Spans
+consensus:
+  round: "Complete consensus round"
+  phase:
+    open: "Open phase - collecting transactions"
+    establish: "Establish phase - reaching agreement"
+    accept: "Accept phase - applying consensus"
+  proposal:
+    receive: "Receive peer proposal"
+    send: "Send our proposal"
+  validation:
+    receive: "Receive peer validation"
+    send: "Send our validation"
+
+# RPC Spans
+rpc:
+  request: "HTTP/WebSocket request handling"
+  command:
+    "*": "Specific RPC command (dynamic)"
+
+# Peer Spans
+peer:
+  connect: "Peer connection establishment"
+  disconnect: "Peer disconnection"
+  message:
+    send: "Send protocol message"
+    receive: "Receive protocol message"
+
+# Ledger Spans
+ledger:
+  acquire: "Ledger acquisition from network"
+  build: "Build new ledger"
+  validate: "Ledger validation"
+  close: "Close ledger"
+  replay: "Ledger replay executed"
+  delta: "Delta-based ledger acquired"
+
+# PathFinding Spans
+pathfind:
+  request: "Path request initiated"
+  compute: "Path computation executed"
+
+# TxQ Spans
+txq:
+  enqueue: "Transaction queued"
+  apply: "Queued transaction applied"
+
+# Fee/Load Spans
+fee:
+  escalate: "Fee escalation triggered"
+
+# Validator Spans
+validator:
+  list:
+    fetch: "UNL list fetched"
+  manifest: "Manifest update processed"
+
+# Amendment Spans
+amendment:
+  vote: "Amendment voting executed"
+
+# SHAMap Spans
+shamap:
+  sync: "State tree synchronization"
+
+# Job Spans
+job:
+  enqueue: "Job added to queue"
+  execute: "Job execution"
+```
+
+---
+
+## 2.4 Attribute Schema
+
+> **TxQ** = Transaction Queue | **UNL** = Unique Node List | **OTLP** = OpenTelemetry Protocol
+
+### 2.4.1 Resource Attributes (Set Once at Startup)
+
+```cpp
+// Standard OpenTelemetry semantic conventions
+resource::SemanticConventions::SERVICE_NAME        = "rippled"
+resource::SemanticConventions::SERVICE_VERSION     = BuildInfo::getVersionString()
+resource::SemanticConventions::SERVICE_INSTANCE_ID = <node_public_key_base58>
+
+// Custom rippled attributes
+"xrpl.network.id"      = <network_id>           // e.g., 0 for mainnet
+"xrpl.network.type"    = "mainnet" | "testnet" | "devnet" | "standalone"
+"xrpl.node.type"       = "validator" | "stock" | "reporting"
+"xrpl.node.cluster"    = <cluster_name>         // If clustered
+```
+
+### 2.4.2 Span Attributes by Category
+
+#### Transaction Attributes
+
+```cpp
+"xrpl.tx.hash"         = string   // Transaction hash (hex)
+"xrpl.tx.type"         = string   // "Payment", "OfferCreate", etc.
+"xrpl.tx.account"      = string   // Source account (redacted in prod)
+"xrpl.tx.sequence"     = int64    // Account sequence number
+"xrpl.tx.fee"          = int64    // Fee in drops
+"xrpl.tx.result"       = string   // "tesSUCCESS", "tecPATH_DRY", etc.
+"xrpl.tx.ledger_index" = int64    // Ledger containing transaction
+```
+
+#### Consensus Attributes
+
+```cpp
+"xrpl.consensus.round"          = int64    // Round number
+"xrpl.consensus.phase"          = string   // "open", "establish", "accept"
+"xrpl.consensus.mode"           = string   // "proposing", "observing", etc.
+"xrpl.consensus.proposers"      = int64    // Number of proposers
+"xrpl.consensus.ledger.prev"    = string   // Previous ledger hash
+"xrpl.consensus.ledger.seq"     = int64    // Ledger sequence
+"xrpl.consensus.tx_count"       = int64    // Transactions in consensus set
+"xrpl.consensus.duration_ms"    = float64  // Round duration
+
+// Phase 4a: Establish-phase gap fill & cross-node correlation
+"xrpl.consensus.round_id"          = int64    // Consensus round number
+"xrpl.consensus.ledger_id"         = string   // previousLedger.id() — shared across nodes
+"xrpl.consensus.trace_strategy"    = string   // "deterministic" or "attribute"
+"xrpl.consensus.converge_percent"  = int64    // Convergence % (0-100+)
+"xrpl.consensus.establish_count"   = int64    // Number of establish iterations
+"xrpl.consensus.disputes_count"    = int64    // Active disputed transactions
+"xrpl.consensus.proposers_agreed"  = int64    // Peers agreeing with our position
+"xrpl.consensus.proposers_total"   = int64    // Total peer positions
+"xrpl.consensus.agree_count"       = int64    // Peers that agree (haveConsensus)
+"xrpl.consensus.disagree_count"    = int64    // Peers that disagree
+"xrpl.consensus.threshold_percent" = int64    // Current threshold (50/65/70/95)
+"xrpl.consensus.result"            = string   // "yes", "no", "moved_on"
+"xrpl.consensus.mode.old"          = string   // Previous consensus mode
+"xrpl.consensus.mode.new"          = string   // New consensus mode
+```
+
+#### RPC Attributes
+
+```cpp
+"xrpl.rpc.command"     = string   // Command name
+"xrpl.rpc.version"     = int64    // API version
+"xrpl.rpc.role"        = string   // "admin" or "user"
+"xrpl.rpc.params"      = string   // Sanitized parameters (optional)
+```
+
+#### Peer & Message Attributes
+
+```cpp
+"xrpl.peer.id"            = string   // Peer public key (base58)
+"xrpl.peer.address"       = string   // IP:port
+"xrpl.peer.latency_ms"    = float64  // Measured latency
+"xrpl.peer.cluster"       = string   // Cluster name if clustered
+"xrpl.message.type"       = string   // Protocol message type name
+"xrpl.message.size_bytes" = int64    // Message size
+"xrpl.message.compressed" = bool     // Whether compressed
+```
+
+#### Ledger & Job Attributes
+
+```cpp
+"xrpl.ledger.hash"       = string   // Ledger hash
+"xrpl.ledger.index"      = int64    // Ledger sequence/index
+"xrpl.ledger.close_time" = int64    // Close time (epoch)
+"xrpl.ledger.tx_count"   = int64    // Transaction count
+"xrpl.job.type"          = string   // Job type name
+"xrpl.job.queue_ms"      = float64  // Time spent in queue
+"xrpl.job.worker"        = int64    // Worker thread ID
+```
+
+#### PathFinding Attributes
+
+```cpp
+"xrpl.pathfind.source_currency"  = string   // Source currency code
+"xrpl.pathfind.dest_currency"    = string   // Destination currency code
+"xrpl.pathfind.path_count"       = int64    // Number of paths found
+"xrpl.pathfind.cache_hit"        = bool     // RippleLineCache hit
+```
+
+#### TxQ Attributes
+
+```cpp
+"xrpl.txq.queue_depth"      = int64    // Current queue depth
+"xrpl.txq.fee_level"        = int64    // Fee level of transaction
+"xrpl.txq.eviction_reason"  = string   // Why transaction was evicted
+```
+
+#### Fee Attributes
+
+```cpp
+"xrpl.fee.load_factor"      = int64    // Current load factor
+"xrpl.fee.escalation_level" = int64    // Fee escalation multiplier
+```
+
+#### Validator Attributes
+
+```cpp
+"xrpl.validator.list_size"    = int64    // UNL size
+"xrpl.validator.list_age_sec" = int64    // Seconds since last update
+```
+
+#### Amendment Attributes
+
+```cpp
+"xrpl.amendment.name"         = string   // Amendment name
+"xrpl.amendment.status"       = string   // "enabled", "vetoed", "supported"
+```
+
+#### SHAMap Attributes
+
+```cpp
+"xrpl.shamap.type"            = string   // "transaction", "state", "account_state"
+"xrpl.shamap.missing_nodes"   = int64    // Number of missing nodes during sync
+"xrpl.shamap.duration_ms"     = float64  // Sync duration
+```
+
+### 2.4.3 Data Collection Summary
+
+The following table summarizes what data is collected by category:
+
+| Category        | Attributes Collected                                                   | Purpose                      |
+| --------------- | ---------------------------------------------------------------------- | ---------------------------- |
+| **Transaction** | `tx.hash`, `tx.type`, `tx.result`, `tx.fee`, `ledger_index`            | Trace transaction lifecycle  |
+| **Consensus**   | `round`, `phase`, `mode`, `proposers` (public keys), `duration_ms`     | Analyze consensus timing     |
+| **RPC**         | `command`, `version`, `status`, `duration_ms`                          | Monitor RPC performance      |
+| **Peer**        | `peer.id` (public key), `latency_ms`, `message.type`, `message.size`   | Network topology analysis    |
+| **Ledger**      | `ledger.hash`, `ledger.index`, `close_time`, `tx_count`                | Ledger progression tracking  |
+| **Job**         | `job.type`, `queue_ms`, `worker`                                       | JobQueue performance         |
+| **PathFinding** | `pathfind.source_currency`, `dest_currency`, `path_count`, `cache_hit` | Payment path analysis        |
+| **TxQ**         | `txq.queue_depth`, `fee_level`, `eviction_reason`                      | Queue depth and fee tracking |
+| **Fee**         | `fee.load_factor`, `escalation_level`                                  | Fee escalation monitoring    |
+| **Validator**   | `validator.list_size`, `list_age_sec`                                  | UNL health monitoring        |
+| **Amendment**   | `amendment.name`, `status`                                             | Protocol upgrade tracking    |
+| **SHAMap**      | `shamap.type`, `missing_nodes`, `duration_ms`                          | State tree sync performance  |
+
+### 2.4.4 Privacy & Sensitive Data Policy
+
+> **PII** = Personally Identifiable Information
+
+OpenTelemetry instrumentation is designed to collect **operational metadata only**, never sensitive content.
+
+#### Data NOT Collected
+
+The following data is explicitly **excluded** from telemetry collection:
+
+| Excluded Data           | Reason                                    |
+| ----------------------- | ----------------------------------------- |
+| **Private Keys**        | Never exposed; not relevant to tracing    |
+| **Account Balances**    | Financial data; privacy sensitive         |
+| **Transaction Amounts** | Financial data; privacy sensitive         |
+| **Raw TX Payloads**     | May contain sensitive memo/data fields    |
+| **Personal Data**       | No PII collected                          |
+| **IP Addresses**        | Configurable; excluded by default in prod |
+
+#### Privacy Protection Mechanisms
+
+| Mechanism                     | Description                                                               |
+| ----------------------------- | ------------------------------------------------------------------------- |
+| **Account Hashing**           | `xrpl.tx.account` is hashed at collector level before storage             |
+| **Configurable Redaction**    | Sensitive fields can be excluded via `[telemetry]` config section         |
+| **Sampling**                  | Only 10% of traces recorded by default, reducing data exposure            |
+| **Local Control**             | Node operators have full control over what gets exported                  |
+| **No Raw Payloads**           | Transaction content is never recorded, only metadata (hash, type, result) |
+| **Collector-Level Filtering** | Additional redaction/hashing can be configured at OTel Collector          |
+
+#### Collector-Level Data Protection
+
+The OpenTelemetry Collector can be configured to hash or redact sensitive attributes before export:
+
+```yaml
+processors:
+  attributes:
+    actions:
+      # Hash account addresses before storage
+      - key: xrpl.tx.account
+        action: hash
+      # Remove IP addresses entirely
+      - key: xrpl.peer.address
+        action: delete
+      # Redact specific fields
+      - key: xrpl.rpc.params
+        action: delete
+```
+
+#### Configuration Options for Privacy
+
+In `rippled.cfg`, operators can control data collection granularity:
+
+```ini
+[telemetry]
+enabled=1
+
+# Disable collection of specific components
+trace_transactions=1
+trace_consensus=1
+trace_rpc=1
+trace_peer=0          # Disable peer tracing (high volume, includes addresses)
+
+# Redact specific attributes
+redact_account=1      # Hash account addresses before export
+redact_peer_address=1 # Remove peer IP addresses
+```
+
+> **Note**: The `redact_account` configuration in `rippled.cfg` controls SDK-level redaction before export, while collector-level filtering (see [Collector-Level Data Protection](#collector-level-data-protection) above) provides an additional defense-in-depth layer. Both can operate independently.
+
+> **Key Principle**: Telemetry collects **operational metadata** (timing, counts, hashes) — never **sensitive content** (keys, balances, amounts, raw payloads).
+
+---
+
+## 2.5 Context Propagation Design
+
+> **WS** = WebSocket
+
+### 2.5.1 Propagation Boundaries
+
+```mermaid
+flowchart TB
+    subgraph http["HTTP/WebSocket (RPC)"]
+        w3c["W3C Trace Context Headers:<br/>traceparent:<br/>00-trace_id-span_id-flags<br/>tracestate: rippled=..."]
+    end
+
+    subgraph protobuf["Protocol Buffers (P2P)"]
+        proto["message TraceContext {<br/>  bytes trace_id = 1;  // 16 bytes<br/>  bytes span_id = 2;   // 8 bytes<br/>  uint32 trace_flags = 3;<br/>  string trace_state = 4;<br/>}"]
+    end
+
+    subgraph jobqueue["JobQueue (Internal Async)"]
+        job["Context captured at job creation,<br/>restored at execution<br/><br/>class Job {<br/>  otel::context::Context<br/>    traceContext_;<br/>};"]
+    end
+
+    style http fill:#0d47a1,stroke:#082f6a,color:#ffffff
+    style protobuf fill:#1b5e20,stroke:#0d3d14,color:#ffffff
+    style jobqueue fill:#bf360c,stroke:#8c2809,color:#ffffff
+```
+
+**Reading the diagram:**
+
+- **HTTP/WebSocket - RPC (blue)**: For client-facing RPC requests, trace context is propagated using the W3C `traceparent` header. This is the standard approach and works with any OTel-compatible client.
+- **Protocol Buffers - P2P (green)**: For peer-to-peer messages between rippled nodes, trace context is embedded as a protobuf `TraceContext` message carrying trace_id, span_id, flags, and optional trace_state.
+- **JobQueue - Internal Async (red)**: For asynchronous work within a single node, the OTel context is captured when a job is created and restored when the job executes on a worker thread. This bridges the async gap so spans remain linked.
+
+---
+
+## 2.6 Integration with Existing Observability
+
+> **OTLP** = OpenTelemetry Protocol | **WS** = WebSocket
+
+### 2.6.1 Existing Frameworks Comparison
+
+rippled already has two observability mechanisms. OpenTelemetry complements (not replaces) them:
+
+| Aspect                | PerfLog                       | Beast Insight (StatsD)       | OpenTelemetry             |
+| --------------------- | ----------------------------- | ---------------------------- | ------------------------- |
+| **Type**              | Logging                       | Metrics                      | Distributed Tracing       |
+| **Data**              | JSON log entries              | Counters, gauges, histograms | Spans with context        |
+| **Scope**             | Single node                   | Single node                  | **Cross-node**            |
+| **Output**            | `perf.log` file               | StatsD server                | OTLP Collector            |
+| **Question answered** | "What happened on this node?" | "How many? How fast?"        | "What was the journey?"   |
+| **Correlation**       | By timestamp                  | By metric name               | By `trace_id`             |
+| **Overhead**          | Low (file I/O)                | Low (UDP packets)            | Low-Medium (configurable) |
+
+### 2.6.2 What Each Framework Does Best
+
+#### PerfLog
+
+- **Purpose**: Detailed local event logging for RPC and job execution
+- **Strengths**:
+  - Rich JSON output with timing data
+  - Already integrated in RPC handlers
+  - File-based, no external dependencies
+- **Limitations**:
+  - Single-node only (no cross-node correlation)
+  - No parent-child relationships between events
+  - Manual log parsing required
+
+```json
+// Example PerfLog entry
+{
+  "time": "2024-01-15T10:30:00.123Z",
+  "method": "submit",
+  "duration_us": 1523,
+  "result": "tesSUCCESS"
+}
+```
+
+#### Beast Insight (StatsD)
+
+- **Purpose**: Real-time metrics for monitoring dashboards
+- **Strengths**:
+  - Aggregated metrics (counters, gauges, histograms)
+  - Low overhead (UDP, fire-and-forget)
+  - Good for alerting thresholds
+- **Limitations**:
+  - No request-level detail
+  - No causal relationships
+  - Single-node perspective
+
+```cpp
+// Example StatsD usage in rippled
+insight.increment("rpc.submit.count");
+insight.gauge("ledger.age", age);
+insight.timing("consensus.round", duration);
+```
+
+#### OpenTelemetry (NEW)
+
+- **Purpose**: Distributed request tracing across nodes
+- **Strengths**:
+  - **Cross-node correlation** via `trace_id`
+  - Parent-child span relationships
+  - Rich attributes per span
+  - Industry standard (CNCF)
+- **Limitations**:
+  - Requires collector infrastructure
+  - Higher complexity than logging
+
+```cpp
+// Example OpenTelemetry span
+auto span = telemetry.startSpan("tx.relay");
+span->SetAttribute("tx.hash", hash);
+span->SetAttribute("peer.id", peerId);
+// Span automatically linked to parent via context
+```
+
+### 2.6.3 When to Use Each
+
+| Scenario                                | PerfLog    | StatsD | OpenTelemetry |
+| --------------------------------------- | ---------- | ------ | ------------- |
+| "How many TXs per second?"              | ❌         | ✅     | ✅            |
+| "What's the p99 RPC latency?"           | ❌         | ✅     | ✅            |
+| "Why was this specific TX slow?"        | ⚠️ partial | ❌     | ✅            |
+| "Which node delayed consensus?"         | ❌         | ❌     | ✅            |
+| "What happened on node X at time T?"    | ✅         | ❌     | ✅            |
+| "Show me the TX journey across 5 nodes" | ❌         | ❌     | ✅            |
+
+### 2.6.4 Coexistence Strategy
+
+> **Note**: Phase 7 replaces the StatsD bridge with native OTel Metrics SDK export. The diagram below shows the Phase 6 intermediate state. See [Phase7_taskList.md](./Phase7_taskList.md) for the migration design where Beast Insight emits via OTLP instead of StatsD.
+
+```mermaid
+flowchart TB
+    subgraph rippled["rippled Process"]
+        perflog["PerfLog<br/>(JSON to file)"]
+        insight["Beast Insight<br/>(StatsD)"]
+        otel["OpenTelemetry<br/>(Tracing)"]
+    end
+
+    perflog --> perffile["perf.log"]
+    insight --> statsd["StatsD Server"]
+    otel --> collector["OTLP Collector"]
+
+    perffile --> grafana["Grafana<br/>(Unified UI)"]
+    statsd --> grafana
+    collector --> grafana
+
+    style rippled fill:#212121,stroke:#0a0a0a,color:#ffffff
+    style grafana fill:#bf360c,stroke:#8c2809,color:#ffffff
+```
+
+**Reading the diagram:**
+
+- **rippled Process (dark gray)**: The single rippled node running all three observability frameworks side by side. Each framework operates independently with no interference.
+- **PerfLog to perf.log**: PerfLog writes JSON-formatted event logs to a local file. Grafana can ingest these via Loki or a file-based datasource.
+- **Beast Insight to StatsD Server**: Insight sends aggregated metrics (counters, gauges) over UDP to a StatsD server. Grafana reads from StatsD-compatible backends like Graphite or Prometheus (via StatsD exporter).
+- **OpenTelemetry to OTLP Collector**: OTel exports spans over OTLP/gRPC to a Collector, which then forwards to a trace backend (Tempo).
+- **Grafana (red, unified UI)**: All three data streams converge in Grafana, enabling operators to correlate logs, metrics, and traces in a single dashboard.
+
+**Phase 7 target state**: Beast Insight routes to `OTelCollector` (new `Collector` implementation) which exports via OTLP/HTTP to the same collector endpoint as traces. StatsD UDP path becomes a deprecated fallback (`[insight] server=statsd`). See [06-implementation-phases.md §6.8](./06-implementation-phases.md) and [Phase7_taskList.md](./Phase7_taskList.md) for details.
+
+### 2.6.5 Correlation with PerfLog
+
+Trace IDs can be correlated with existing PerfLog entries for comprehensive debugging:
+
+```cpp
+// In RPCHandler.cpp - correlate trace with PerfLog
+Status doCommand(RPC::JsonContext& context, Json::Value& result)
+{
+    // Start OpenTelemetry span
+    auto span = context.app.getTelemetry().startSpan(
+        "rpc.command." + context.method);
+
+    // Get trace ID for correlation
+    auto traceId = span->GetContext().trace_id().IsValid()
+        ? toHex(span->GetContext().trace_id())
+        : "";
+
+    // Use existing PerfLog with trace correlation
+    auto const curId = context.app.getPerfLog().currentId();
+    context.app.getPerfLog().rpcStart(context.method, curId);
+
+    // Future: Add trace ID to PerfLog entry
+    // context.app.getPerfLog().setTraceId(curId, traceId);
+
+    try {
+        auto ret = handler(context, result);
+        context.app.getPerfLog().rpcFinish(context.method, curId);
+        span->SetStatus(opentelemetry::trace::StatusCode::kOk);
+        return ret;
+    } catch (std::exception const& e) {
+        context.app.getPerfLog().rpcError(context.method, curId);
+        span->RecordException(e);
+        span->SetStatus(opentelemetry::trace::StatusCode::kError, e.what());
+        throw;
+    }
+}
+```
+
+---
+
+_Previous: [Architecture Analysis](./01-architecture-analysis.md)_ | _Next: [Implementation Strategy](./03-implementation-strategy.md)_ | _Back to: [Overview](./OpenTelemetryPlan.md)_
--- a/OpenTelemetryPlan/03-implementation-strategy.md
+++ b/OpenTelemetryPlan/03-implementation-strategy.md
@@ -0,0 +1,528 @@
+# Implementation Strategy
+
+> **Parent Document**: [OpenTelemetryPlan.md](./OpenTelemetryPlan.md)
+> **Related**: [Code Samples](./04-code-samples.md) | [Configuration Reference](./05-configuration-reference.md)
+
+---
+
+## 3.1 Directory Structure
+
+The telemetry implementation follows rippled's existing code organization pattern:
+
+```
+include/xrpl/
+├── telemetry/
+│   ├── Telemetry.h              # Main telemetry interface
+│   ├── TelemetryConfig.h        # Configuration structures
+│   ├── TraceContext.h           # Context propagation utilities
+│   ├── SpanGuard.h              # RAII span management
+│   └── SpanAttributes.h         # Attribute helper functions
+
+src/libxrpl/
+├── telemetry/
+│   ├── Telemetry.cpp            # Implementation
+│   ├── TelemetryConfig.cpp      # Config parsing
+│   ├── TraceContext.cpp         # Context serialization
+│   └── NullTelemetry.cpp        # No-op implementation
+
+src/xrpld/
+├── telemetry/
+│   ├── TracingInstrumentation.h # Instrumentation macros
+│   └── TracingInstrumentation.cpp
+```
+
+---
+
+## 3.2 Implementation Approach
+
+<div align="center">
+
+```mermaid
+%%{init: {'flowchart': {'nodeSpacing': 20, 'rankSpacing': 30}}}%%
+flowchart TB
+    subgraph phase1["Phase 1: Core"]
+        direction LR
+        sdk["SDK Integration"] ~~~ interface["Telemetry Interface"] ~~~ config["Configuration"]
+    end
+
+    subgraph phase2["Phase 2: RPC"]
+        direction LR
+        http["HTTP Context"] ~~~ rpc["RPC Handlers"]
+    end
+
+    subgraph phase3["Phase 3: P2P"]
+        direction LR
+        proto["Protobuf Context"] ~~~ tx["Transaction Relay"]
+    end
+
+    subgraph phase4["Phase 4: Consensus"]
+        direction LR
+        consensus["Consensus Rounds"] ~~~ proposals["Proposals"]
+    end
+
+    phase1 --> phase2 --> phase3 --> phase4
+
+    style phase1 fill:#1565c0,stroke:#0d47a1,color:#ffffff
+    style phase2 fill:#2e7d32,stroke:#1b5e20,color:#ffffff
+    style phase3 fill:#e65100,stroke:#bf360c,color:#ffffff
+    style phase4 fill:#c2185b,stroke:#880e4f,color:#ffffff
+```
+
+</div>
+
+### Key Principles
+
+1. **Minimal Intrusion**: Instrumentation should not alter existing control flow
+2. **Zero-Cost When Disabled**: Use compile-time flags and no-op implementations
+3. **Backward Compatibility**: Protocol Buffer extensions use high field numbers
+4. **Graceful Degradation**: Tracing failures must not affect node operation
+
+---
+
+## 3.3 Performance Overhead Summary
+
+> **OTLP** = OpenTelemetry Protocol
+
+| Metric        | Overhead   | Notes                                            |
+| ------------- | ---------- | ------------------------------------------------ |
+| CPU           | 1-3%       | Of per-transaction CPU cost (~200μs baseline)    |
+| Memory        | ~10 MB     | SDK statics + batch buffer + worker thread stack |
+| Network       | 10-50 KB/s | Compressed OTLP export to collector              |
+| Latency (p99) | <2%        | With proper sampling configuration               |
+
+---
+
+## 3.4 Detailed CPU Overhead Analysis
+
+### 3.4.1 Per-Operation Costs
+
+> **Note on hardware assumptions**: The costs below are based on the official OTel C++ SDK CI benchmarks
+> (969 runs on GitHub Actions 2-core shared runners). On production server hardware (3+ GHz Xeon),
+> expect costs at the **lower end** of each range (~30-50% improvement over CI hardware).
+
+| Operation             | Time (ns) | Frequency              | Impact     |
+| --------------------- | --------- | ---------------------- | ---------- |
+| Span creation         | 500-1000  | Every traced operation | Low        |
+| Span end              | 100-200   | Every traced operation | Low        |
+| SetAttribute (string) | 80-120    | 3-5 per span           | Low        |
+| SetAttribute (int)    | 40-60     | 2-3 per span           | Negligible |
+| AddEvent              | 100-200   | 0-2 per span           | Low        |
+| Context injection     | 150-250   | Per outgoing message   | Low        |
+| Context extraction    | 100-180   | Per incoming message   | Low        |
+| GetCurrent context    | 10-20     | Thread-local access    | Negligible |
+
+**Source**: Span creation based on OTel C++ SDK `BM_SpanCreation` benchmark (AlwaysOnSampler +
+SimpleSpanProcessor + InMemoryExporter), median ~1,000 ns on CI hardware. AddEvent includes
+timestamp read + string copy + vector push + mutex acquisition. Context injection/extraction
+confirmed by `BM_SpanCreationWithScope` benchmark delta (~160 ns).
+
+### 3.4.2 Transaction Processing Overhead
+
+<div align="center">
+
+```mermaid
+%%{init: {'pie': {'textPosition': 0.75}}}%%
+pie showData
+    "tx.receive (1400ns)" : 1400
+    "tx.validate (1200ns)" : 1200
+    "tx.relay (1200ns)" : 1200
+    "Context inject (200ns)" : 200
+```
+
+**Transaction Tracing Overhead (~4.0μs total)**
+
+</div>
+
+**Overhead percentage**: 4.0 μs / 200 μs (avg tx processing) = **~2.0%**
+
+> **Breakdown**: Each span (tx.receive, tx.validate, tx.relay) costs ~1,000 ns for creation plus
+> ~200-400 ns for 3-5 attribute sets. Context injection is ~200 ns (confirmed by benchmarks).
+> On production hardware, expect ~2.6 μs total (~1.3% overhead) due to faster span creation (~500-600 ns).
+
+### 3.4.3 Consensus Round Overhead
+
+| Operation              | Count | Cost (ns) | Total      |
+| ---------------------- | ----- | --------- | ---------- |
+| consensus.round span   | 1     | ~1200     | ~1.2 μs    |
+| consensus.phase spans  | 3     | ~1100     | ~3.3 μs    |
+| proposal.receive spans | ~20   | ~1100     | ~22 μs     |
+| proposal.send spans    | ~3    | ~1100     | ~3.3 μs    |
+| Context operations     | ~30   | ~200      | ~6 μs      |
+| **TOTAL**              |       |           | **~36 μs** |
+
+> **Why higher**: Each span costs ~1,000 ns creation + ~100-200 ns for 1-2 attributes, totaling ~1,100-1,200 ns.
+> Context operations remain ~200 ns (confirmed by benchmarks). On production hardware, expect ~24 μs total.
+
+**Overhead percentage**: 36 μs / 3s (typical round) = **~0.001%** (negligible)
+
+### 3.4.4 RPC Request Overhead
+
+| Operation        | Cost (ns)    |
+| ---------------- | ------------ |
+| rpc.request span | ~1200        |
+| rpc.command span | ~1100        |
+| Context extract  | ~250         |
+| Context inject   | ~200         |
+| **TOTAL**        | **~2.75 μs** |
+
+> **Why higher**: Each span costs ~1,000 ns creation + ~100-200 ns for attributes (command name,
+> version, role). Context extract/inject costs are confirmed by OTel C++ benchmarks.
+
+- Fast RPC (1ms): 2.75 μs / 1ms = **~0.275%**
+- Slow RPC (100ms): 2.75 μs / 100ms = **~0.003%**
+
+---
+
+## 3.5 Memory Overhead Analysis
+
+> **OTLP** = OpenTelemetry Protocol
+
+### 3.5.1 Static Memory
+
+| Component                            | Size        | Allocated  |
+| ------------------------------------ | ----------- | ---------- |
+| TracerProvider singleton             | ~64 KB      | At startup |
+| BatchSpanProcessor (circular buffer) | ~16 KB      | At startup |
+| BatchSpanProcessor (worker thread)   | ~8 MB       | At startup |
+| OTLP exporter (gRPC channel init)    | ~256 KB     | At startup |
+| Propagator registry                  | ~8 KB       | At startup |
+| **Total static**                     | **~8.3 MB** |            |
+
+> **Why higher than earlier estimate**: The BatchSpanProcessor's circular buffer itself is only ~16 KB
+> (2049 x 8-byte `AtomicUniquePtr` entries), but it spawns a dedicated worker thread whose default
+> stack size on Linux is ~8 MB. The OTLP gRPC exporter allocates memory for channel stubs and TLS
+> initialization. The worker thread stack dominates the static footprint.
+
+### 3.5.2 Dynamic Memory
+
+| Component            | Size per unit  | Max units  | Peak            |
+| -------------------- | -------------- | ---------- | --------------- |
+| Active span          | ~500-800 bytes | 1000       | ~500-800 KB     |
+| Queued span (export) | ~500 bytes     | 2048       | ~1 MB           |
+| Attribute storage    | ~80 bytes      | 5 per span | Included        |
+| Context storage      | ~64 bytes      | Per thread | ~6.4 KB         |
+| **Total dynamic**    |                |            | **~1.5-1.8 MB** |
+
+> **Why active spans are larger**: An active `Span` object includes the wrapper (~88 bytes: shared_ptr,
+> mutex, unique_ptr to Recordable) plus `SpanData` (~250 bytes: SpanContext, timestamps, name, status,
+> empty containers) plus attribute storage (~200-500 bytes for 3-5 string attributes in a `std::map`).
+> Source: `sdk/src/trace/span.h` and `sdk/include/opentelemetry/sdk/trace/span_data.h`.
+> Queued spans release the wrapper, keeping only `SpanData` + attributes (~500 bytes).
+
+### 3.5.3 Memory Growth Characteristics
+
+```mermaid
+---
+config:
+    xyChart:
+        width: 700
+        height: 400
+---
+xychart-beta
+    title "Memory Usage vs Span Rate (bounded by queue limit)"
+    x-axis "Spans/second" [0, 200, 400, 600, 800, 1000]
+    y-axis "Memory (MB)" 0 --> 12
+    line [8.5, 9.2, 9.6, 9.9, 10.0, 10.0]
+```
+
+**Notes**:
+
+- Memory increases with span rate but **plateaus at queue capacity** (default 2048 spans)
+- Batch export prevents unbounded growth
+- At queue limit, oldest spans are dropped (not blocked)
+- Maximum memory is bounded: ~8.3 MB static (dominated by worker thread stack) + 2048 queued spans x ~500 bytes (~1 MB) + active spans (~0.8 MB) ≈ **~10 MB ceiling**
+- The worker thread stack (~8 MB) is virtual memory; actual RSS depends on stack usage (typically much less)
+
+### 3.5.4 Performance Data Sources
+
+The overhead estimates in Sections 3.3-3.5 are derived from the following sources:
+
+| Source                                           | What it covers                                        | URL                                                                                                                                        |
+| ------------------------------------------------ | ----------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------ |
+| OTel C++ SDK CI benchmarks (969 runs)            | Span creation, context activation, sampler overhead   | [Benchmark Dashboard](https://open-telemetry.github.io/opentelemetry-cpp/benchmarks/)                                                      |
+| `api/test/trace/span_benchmark.cc`               | API-level span creation (~22 ns no-op)                | [Source](https://github.com/open-telemetry/opentelemetry-cpp/blob/main/api/test/trace/span_benchmark.cc)                                   |
+| `sdk/test/trace/sampler_benchmark.cc`            | SDK span creation with samplers (~1,000 ns AlwaysOn)  | [Source](https://github.com/open-telemetry/opentelemetry-cpp/blob/main/sdk/test/trace/sampler_benchmark.cc)                                |
+| `sdk/include/.../span_data.h`                    | SpanData memory layout (~250 bytes base)              | [Source](https://github.com/open-telemetry/opentelemetry-cpp/blob/main/sdk/include/opentelemetry/sdk/trace/span_data.h)                    |
+| `sdk/src/trace/span.h`                           | Span wrapper memory layout (~88 bytes)                | [Source](https://github.com/open-telemetry/opentelemetry-cpp/blob/main/sdk/src/trace/span.h)                                               |
+| `sdk/include/.../batch_span_processor_options.h` | Default queue size (2048), batch size (512)           | [Source](https://github.com/open-telemetry/opentelemetry-cpp/blob/main/sdk/include/opentelemetry/sdk/trace/batch_span_processor_options.h) |
+| `sdk/include/.../circular_buffer.h`              | CircularBuffer implementation (AtomicUniquePtr array) | [Source](https://github.com/open-telemetry/opentelemetry-cpp/blob/main/sdk/include/opentelemetry/sdk/common/circular_buffer.h)             |
+| OTLP proto definition                            | Serialized span size estimation                       | [Proto](https://github.com/open-telemetry/opentelemetry-proto/blob/main/opentelemetry/proto/trace/v1/trace.proto)                          |
+
+---
+
+## 3.6 Network Overhead Analysis
+
+### 3.6.1 Export Bandwidth
+
+> **Bytes per span**: Estimates use ~500 bytes/span (conservative upper bound). OTLP protobuf analysis
+> shows a typical span with 3-5 string attributes serializes to ~200-300 bytes raw; with gzip
+> compression (~60-70% of raw) and batching (amortized headers), ~350 bytes/span is more realistic.
+> The table uses the conservative estimate for capacity planning.
+
+| Sampling Rate | Spans/sec | Bandwidth | Notes            |
+| ------------- | --------- | --------- | ---------------- |
+| 100%          | ~500      | ~250 KB/s | Development only |
+| 10%           | ~50       | ~25 KB/s  | Staging          |
+| 1%            | ~5        | ~2.5 KB/s | Production       |
+| Error-only    | ~1        | ~0.5 KB/s | Minimal overhead |
+
+### 3.6.2 Trace Context Propagation
+
+| Message Type           | Context Size | Messages/sec | Overhead    |
+| ---------------------- | ------------ | ------------ | ----------- |
+| TMTransaction          | 25 bytes     | ~100         | ~2.5 KB/s   |
+| TMProposeSet           | 25 bytes     | ~10          | ~250 B/s    |
+| TMValidation           | 25 bytes     | ~50          | ~1.25 KB/s  |
+| **Total P2P overhead** |              |              | **~4 KB/s** |
+
+---
+
+## 3.7 Optimization Strategies
+
+### 3.7.1 Sampling Strategies
+
+#### Tail Sampling
+
+```mermaid
+flowchart TD
+    trace["New Trace"]
+
+    trace --> errors{"Is Error?"}
+    errors -->|Yes| sample["SAMPLE"]
+    errors -->|No| consensus{"Is Consensus?"}
+
+    consensus -->|Yes| sample
+    consensus -->|No| slow{"Is Slow?"}
+
+    slow -->|Yes| sample
+    slow -->|No| prob{"Random < 10%?"}
+
+    prob -->|Yes| sample
+    prob -->|No| drop["DROP"]
+
+    style sample fill:#4caf50,stroke:#388e3c,color:#fff
+    style drop fill:#f44336,stroke:#c62828,color:#fff
+```
+
+### 3.7.2 Batch Tuning Recommendations
+
+| Environment        | Batch Size | Batch Delay | Max Queue |
+| ------------------ | ---------- | ----------- | --------- |
+| Low-latency        | 128        | 1000ms      | 512       |
+| High-throughput    | 1024       | 10000ms     | 8192      |
+| Memory-constrained | 256        | 2000ms      | 512       |
+
+### 3.7.3 Conditional Instrumentation
+
+```cpp
+// Compile-time feature flag
+#ifndef XRPL_ENABLE_TELEMETRY
+// Zero-cost when disabled
+#define XRPL_TRACE_SPAN(t, n) ((void)0)
+#endif
+
+// Runtime component filtering
+if (telemetry.shouldTracePeer())
+{
+    XRPL_TRACE_SPAN(telemetry, "peer.message.receive");
+    // ... instrumentation
+}
+// No overhead when component tracing disabled
+```
+
+---
+
+## 3.8 Links to Detailed Documentation
+
+- **[Code Samples](./04-code-samples.md)**: Complete implementation code for all components
+- **[Configuration Reference](./05-configuration-reference.md)**: Configuration options and collector setup
+- **[Implementation Phases](./06-implementation-phases.md)**: Detailed timeline and milestones
+
+---
+
+## 3.9 Code Intrusiveness Assessment
+
+> **TxQ** = Transaction Queue
+
+This section provides a detailed assessment of how intrusive the OpenTelemetry integration is to the existing rippled codebase.
+
+### 3.9.1 Files Modified Summary
+
+| Component             | Files Modified | Lines Added | Lines Changed | Architectural Impact |
+| --------------------- | -------------- | ----------- | ------------- | -------------------- |
+| **Core Telemetry**    | 5 new files    | ~800        | 0             | None (new module)    |
+| **Application Init**  | 2 files        | ~30         | ~5            | Minimal              |
+| **RPC Layer**         | 3 files        | ~80         | ~20           | Minimal              |
+| **Transaction Relay** | 4 files        | ~120        | ~40           | Low                  |
+| **Consensus**         | 3 files        | ~100        | ~30           | Low-Medium           |
+| **Protocol Buffers**  | 1 file         | ~25         | 0             | Low                  |
+| **CMake/Build**       | 3 files        | ~50         | ~10           | Minimal              |
+| **PathFinding**       | 2              | ~80         | ~5            | Minimal              |
+| **TxQ/Fee**           | 2              | ~60         | ~5            | Minimal              |
+| **Validator/Amend**   | 3              | ~40         | ~5            | Minimal              |
+| **Total**             | **~28 files**  | **~1,490**  | **~120**      | **Low**              |
+
+### 3.9.2 Detailed File Impact
+
+```mermaid
+pie title Code Changes by Component
+    "New Telemetry Module" : 800
+    "Transaction Relay" : 160
+    "Consensus" : 130
+    "RPC Layer" : 100
+    "PathFinding" : 80
+    "TxQ/Fee" : 60
+    "Validator/Amendment" : 40
+    "Application Init" : 35
+    "Protocol Buffers" : 25
+    "Build System" : 60
+```
+
+#### New Files (No Impact on Existing Code)
+
+| File                                           | Lines | Purpose              |
+| ---------------------------------------------- | ----- | -------------------- |
+| `include/xrpl/telemetry/Telemetry.h`           | ~160  | Main interface       |
+| `include/xrpl/telemetry/SpanGuard.h`           | ~120  | RAII wrapper         |
+| `include/xrpl/telemetry/TraceContext.h`        | ~80   | Context propagation  |
+| `src/xrpld/telemetry/TracingInstrumentation.h` | ~60   | Macros               |
+| `src/libxrpl/telemetry/Telemetry.cpp`          | ~200  | Implementation       |
+| `src/libxrpl/telemetry/TelemetryConfig.cpp`    | ~60   | Config parsing       |
+| `src/libxrpl/telemetry/NullTelemetry.cpp`      | ~40   | No-op implementation |
+
+#### Modified Files (Existing Rippled Code)
+
+| File                                              | Lines Added | Lines Changed | Risk Level |
+| ------------------------------------------------- | ----------- | ------------- | ---------- |
+| `src/xrpld/app/main/Application.cpp`              | ~15         | ~3            | Low        |
+| `include/xrpl/app/main/Application.h`             | ~5          | ~2            | Low        |
+| `src/xrpld/rpc/detail/ServerHandler.cpp`          | ~40         | ~10           | Low        |
+| `src/xrpld/rpc/handlers/*.cpp`                    | ~30         | ~8            | Low        |
+| `src/xrpld/overlay/detail/PeerImp.cpp`            | ~60         | ~15           | Medium     |
+| `src/xrpld/overlay/detail/OverlayImpl.cpp`        | ~30         | ~10           | Medium     |
+| `src/xrpld/app/consensus/RCLConsensus.cpp`        | ~50         | ~15           | Medium     |
+| `src/xrpld/app/consensus/RCLConsensusAdaptor.cpp` | ~40         | ~12           | Medium     |
+| `src/xrpld/core/JobQueue.cpp`                     | ~20         | ~5            | Low        |
+| `src/xrpld/app/paths/PathRequest.cpp`             | ~40         | ~3            | Low        |
+| `src/xrpld/app/paths/Pathfinder.cpp`              | ~40         | ~2            | Low        |
+| `src/xrpld/app/misc/TxQ.cpp`                      | ~40         | ~3            | Low        |
+| `src/xrpld/app/main/LoadManager.cpp`              | ~20         | ~2            | Low        |
+| `src/xrpld/app/misc/ValidatorList.cpp`            | ~20         | ~2            | Low        |
+| `src/xrpld/app/misc/AmendmentTable.cpp`           | ~10         | ~2            | Low        |
+| `src/xrpld/app/misc/Manifest.cpp`                 | ~10         | ~1            | Low        |
+| `src/xrpld/shamap/SHAMap.cpp`                     | ~20         | ~3            | Low        |
+| `src/xrpld/overlay/detail/ripple.proto`           | ~25         | 0             | Low        |
+| `CMakeLists.txt`                                  | ~40         | ~8            | Low        |
+| `cmake/FindOpenTelemetry.cmake`                   | ~50         | 0             | None (new) |
+
+### 3.9.3 Risk Assessment by Component
+
+<div align="center">
+
+**Do First** ↖ ↗ **Plan Carefully**
+
+```mermaid
+quadrantChart
+    title Code Intrusiveness Risk Matrix
+    x-axis Low Risk --> High Risk
+    y-axis Low Value --> High Value
+
+    RPC Tracing: [0.2, 0.55]
+    Transaction Relay: [0.55, 0.85]
+    Consensus Tracing: [0.75, 0.92]
+    Peer Message Tracing: [0.85, 0.35]
+    JobQueue Context: [0.3, 0.42]
+    Ledger Acquisition: [0.48, 0.65]
+    PathFinding: [0.38, 0.72]
+    TxQ and Fees: [0.25, 0.62]
+    Validator Mgmt: [0.15, 0.35]
+```
+
+**Optional** ↙ ↘ **Avoid**
+
+</div>
+
+#### Risk Level Definitions
+
+| Risk Level | Definition                                                       | Mitigation                         |
+| ---------- | ---------------------------------------------------------------- | ---------------------------------- |
+| **Low**    | Additive changes only; no modification to existing logic         | Standard code review               |
+| **Medium** | Minor modifications to existing functions; clear boundaries      | Comprehensive unit tests           |
+| **High**   | Changes to core logic or data structures; potential side effects | Integration tests + staged rollout |
+
+### 3.9.4 Architectural Impact Assessment
+
+| Aspect               | Impact  | Justification                                                                    |
+| -------------------- | ------- | -------------------------------------------------------------------------------- |
+| **Data Flow**        | Minimal | Read-only instrumentation; no modification to consensus or transaction data flow |
+| **Threading Model**  | Minimal | Context propagation uses thread-local storage (standard OTel pattern)            |
+| **Memory Model**     | Low     | Bounded queues prevent unbounded growth; RAII ensures cleanup                    |
+| **Network Protocol** | Low     | Optional fields in protobuf (high field numbers); backward compatible            |
+| **Configuration**    | None    | New config section; existing configs unaffected                                  |
+| **Build System**     | Low     | Optional CMake flag; builds work without OpenTelemetry                           |
+| **Dependencies**     | Low     | OpenTelemetry SDK is optional; null implementation when disabled                 |
+
+### 3.9.5 Backward Compatibility
+
+| Compatibility   | Status  | Notes                                                 |
+| --------------- | ------- | ----------------------------------------------------- |
+| **Config File** | ✅ Full | New `[telemetry]` section is optional                 |
+| **Protocol**    | ✅ Full | Optional protobuf fields with high field numbers      |
+| **Build**       | ✅ Full | `XRPL_ENABLE_TELEMETRY=OFF` produces identical binary |
+| **Runtime**     | ✅ Full | `enabled=0` produces zero overhead                    |
+| **API**         | ✅ Full | No changes to public RPC or P2P APIs                  |
+
+### 3.9.6 Rollback Strategy
+
+If issues are discovered after deployment:
+
+1. **Immediate**: Set `enabled=0` in config and restart (zero code change)
+2. **Quick**: Rebuild with `XRPL_ENABLE_TELEMETRY=OFF`
+3. **Complete**: Revert telemetry commits (clean separation makes this easy)
+
+### 3.9.7 Code Change Examples
+
+**Minimal RPC Instrumentation (Low Intrusiveness):**
+
+```cpp
+// Before
+void ServerHandler::onRequest(...) {
+    auto result = processRequest(req);
+    send(result);
+}
+
+// After (only ~10 lines added)
+void ServerHandler::onRequest(...) {
+    XRPL_TRACE_RPC(app_.getTelemetry(), "rpc.request");  // +1 line
+    XRPL_TRACE_SET_ATTR("xrpl.rpc.command", command);     // +1 line
+
+    auto result = processRequest(req);
+
+    XRPL_TRACE_SET_ATTR("xrpl.rpc.status", status);       // +1 line
+    send(result);
+}
+```
+
+**Consensus Instrumentation (Medium Intrusiveness):**
+
+```cpp
+// Before
+void RCLConsensusAdaptor::startRound(...) {
+    // ... existing logic
+}
+
+// After (context storage required)
+void RCLConsensusAdaptor::startRound(...) {
+    XRPL_TRACE_CONSENSUS(app_.getTelemetry(), "consensus.round");
+    XRPL_TRACE_SET_ATTR("xrpl.consensus.ledger.seq", seq);
+
+    // Store context for child spans in phase transitions
+    currentRoundContext_ = _xrpl_guard_->context();  // New member variable
+
+    // ... existing logic unchanged
+}
+```
+
+---
+
+_Previous: [Design Decisions](./02-design-decisions.md)_ | _Next: [Code Samples](./04-code-samples.md)_ | _Back to: [Overview](./OpenTelemetryPlan.md)_
--- a/OpenTelemetryPlan/04-code-samples.md
+++ b/OpenTelemetryPlan/04-code-samples.md
--- a/OpenTelemetryPlan/05-configuration-reference.md
+++ b/OpenTelemetryPlan/05-configuration-reference.md
--- a/OpenTelemetryPlan/06-implementation-phases.md
+++ b/OpenTelemetryPlan/06-implementation-phases.md
--- a/OpenTelemetryPlan/07-observability-backends.md
+++ b/OpenTelemetryPlan/07-observability-backends.md
@@ -0,0 +1,641 @@
+# Observability Backend Recommendations
+
+> **Parent Document**: [OpenTelemetryPlan.md](./OpenTelemetryPlan.md)
+> **Related**: [Implementation Phases](./06-implementation-phases.md) | [Appendix](./08-appendix.md)
+
+---
+
+## 7.1 Development/Testing Backends
+
+> **OTLP** = OpenTelemetry Protocol
+
+| Backend    | Pros                                | Cons                   | Use Case            |
+| ---------- | ----------------------------------- | ---------------------- | ------------------- |
+| **Tempo**  | Cost-effective, Grafana integration | Requires Grafana stack | Local dev, CI, Prod |
+| **Zipkin** | Simple, lightweight                 | Basic features         | Quick prototyping   |
+
+### Quick Start with Tempo
+
+```bash
+# Start Tempo with OTLP support
+docker run -d --name tempo \
+  -p 3200:3200 \
+  -p 4317:4317 \
+  -p 4318:4318 \
+  grafana/tempo:2.6.1
+```
+
+---
+
+## 7.2 Production Backends
+
+> **APM** = Application Performance Monitoring
+
+| Backend           | Pros                                      | Cons                   | Use Case                    |
+| ----------------- | ----------------------------------------- | ---------------------- | --------------------------- |
+| **Grafana Tempo** | Cost-effective, Grafana integration       | Requires Grafana stack | Most production deployments |
+| **Elastic APM**   | Full observability stack, log correlation | Resource intensive     | Existing Elastic users      |
+| **Honeycomb**     | Excellent query, high cardinality         | SaaS cost              | Deep debugging needs        |
+| **Datadog APM**   | Full platform, easy setup                 | SaaS cost              | Enterprise with budget      |
+
+### Backend Selection Flowchart
+
+```mermaid
+flowchart TD
+    start[Select Backend] --> budget{Budget<br/>Constraints?}
+
+    budget -->|Yes| oss[Open Source]
+    budget -->|No| saas{Prefer<br/>SaaS?}
+
+    oss --> existing{Existing<br/>Stack?}
+    existing -->|Grafana| tempo[Grafana Tempo]
+    existing -->|Elastic| elastic[Elastic APM]
+    existing -->|None| tempo
+
+    saas -->|Yes| enterprise{Enterprise<br/>Support?}
+    saas -->|No| oss
+
+    enterprise -->|Yes| datadog[Datadog APM]
+    enterprise -->|No| honeycomb[Honeycomb]
+
+    tempo --> final[Configure Collector]
+    elastic --> final
+    honeycomb --> final
+    datadog --> final
+
+    style start fill:#0f172a,stroke:#020617,color:#fff
+    style budget fill:#334155,stroke:#1e293b,color:#fff
+    style oss fill:#1e293b,stroke:#0f172a,color:#fff
+    style existing fill:#334155,stroke:#1e293b,color:#fff
+    style saas fill:#334155,stroke:#1e293b,color:#fff
+    style enterprise fill:#334155,stroke:#1e293b,color:#fff
+    style final fill:#0f172a,stroke:#020617,color:#fff
+    style tempo fill:#1b5e20,stroke:#0d3d14,color:#fff
+    style elastic fill:#bf360c,stroke:#8c2809,color:#fff
+    style honeycomb fill:#0d47a1,stroke:#082f6a,color:#fff
+    style datadog fill:#4a148c,stroke:#2e0d57,color:#fff
+```
+
+**Reading the diagram:**
+
+- **Budget Constraints? (Yes)**: Leads to open-source options. If you already run Grafana or Elastic, pick the matching backend; otherwise default to Grafana Tempo.
+- **Budget Constraints? (No) → Prefer SaaS?**: If you want a managed service, choose between Datadog (enterprise support) and Honeycomb (developer-focused). If not, fall back to open-source.
+- **Terminal nodes (Tempo / Elastic / Honeycomb / Datadog)**: Each represents a concrete backend choice, all of which feed into the same final step.
+- **Configure Collector**: Regardless of backend, you always finish by configuring the OTel Collector to export to your chosen destination.
+
+---
+
+## 7.3 Recommended Production Architecture
+
+> **OTLP** = OpenTelemetry Protocol | **APM** = Application Performance Monitoring | **HA** = High Availability
+
+```mermaid
+flowchart TB
+    subgraph validators["Validator Nodes"]
+        v1[rippled<br/>Validator 1]
+        v2[rippled<br/>Validator 2]
+    end
+
+    subgraph stock["Stock Nodes"]
+        s1[rippled<br/>Stock 1]
+        s2[rippled<br/>Stock 2]
+    end
+
+    subgraph collector["OTel Collector Cluster"]
+        c1[Collector<br/>DC1]
+        c2[Collector<br/>DC2]
+    end
+
+    subgraph backends["Storage Backends"]
+        tempo[(Grafana<br/>Tempo)]
+        elastic[(Elastic<br/>APM)]
+        archive[(S3/GCS<br/>Archive)]
+    end
+
+    subgraph ui["Visualization"]
+        grafana[Grafana<br/>Dashboards]
+    end
+
+    v1 -->|OTLP| c1
+    v2 -->|OTLP| c1
+    s1 -->|OTLP| c2
+    s2 -->|OTLP| c2
+
+    c1 --> tempo
+    c1 --> elastic
+    c2 --> tempo
+    c2 --> archive
+
+    tempo --> grafana
+    elastic --> grafana
+
+    %% Note: simplified single-collector-per-DC topology shown for clarity
+
+    style validators fill:#b71c1c,stroke:#7f1d1d,color:#ffffff
+    style stock fill:#0d47a1,stroke:#082f6a,color:#ffffff
+    style collector fill:#bf360c,stroke:#8c2809,color:#ffffff
+    style backends fill:#1b5e20,stroke:#0d3d14,color:#ffffff
+    style ui fill:#4a148c,stroke:#2e0d57,color:#ffffff
+```
+
+**Reading the diagram:**
+
+- **Validator / Stock Nodes**: All rippled nodes emit trace data via OTLP. Validators and stock nodes are grouped separately because they may reside in different network zones.
+- **Collector Cluster (DC1, DC2)**: Regional collectors receive OTLP from nodes in their datacenter, apply processing (sampling, enrichment), and fan out to multiple backends.
+- **Storage Backends**: Tempo and Elastic provide queryable trace storage; S3/GCS Archive provides long-term cold storage for compliance or post-incident analysis.
+- **Grafana Dashboards**: The single visualization layer that queries both Tempo and Elastic, giving operators a unified view of all traces.
+- **Data flow direction**: Nodes → Collectors → Storage → Grafana. Each arrow represents a network hop; minimizing collector-to-backend hops reduces latency.
+
+> **Note**: Production deployments should use multiple collector instances behind a load balancer for high availability. The diagram shows a simplified single-collector topology for clarity.
+
+---
+
+## 7.4 Architecture Considerations
+
+### 7.4.1 Collector Placement
+
+| Strategy      | Description          | Pros                     | Cons                    |
+| ------------- | -------------------- | ------------------------ | ----------------------- |
+| **Sidecar**   | Collector per node   | Isolation, simple config | Resource overhead       |
+| **DaemonSet** | Collector per host   | Shared resources         | Complexity              |
+| **Gateway**   | Central collector(s) | Centralized processing   | Single point of failure |
+
+**Recommendation**: Use **Gateway** pattern with regional collectors for rippled networks:
+
+- One collector cluster per datacenter/region
+- Tail-based sampling at collector level
+- Multiple export destinations for redundancy
+
+### 7.4.2 Sampling Strategy
+
+```mermaid
+flowchart LR
+    subgraph head["Head Sampling (Node)"]
+        hs[Node-level head sampling<br/>configurable, default: 100%<br/>recommended production: 10%]
+    end
+
+    subgraph tail["Tail Sampling (Collector)"]
+        ts1[Keep all errors]
+        ts2[Keep slow >5s]
+        ts3[Keep 10% rest]
+    end
+
+    head --> tail
+
+    ts1 --> final[Final Traces]
+    ts2 --> final
+    ts3 --> final
+
+    style head fill:#0d47a1,stroke:#082f6a,color:#fff
+    style tail fill:#1b5e20,stroke:#0d3d14,color:#fff
+    style hs fill:#0d47a1,stroke:#082f6a,color:#fff
+    style ts1 fill:#1b5e20,stroke:#0d3d14,color:#fff
+    style ts2 fill:#1b5e20,stroke:#0d3d14,color:#fff
+    style ts3 fill:#1b5e20,stroke:#0d3d14,color:#fff
+    style final fill:#bf360c,stroke:#8c2809,color:#fff
+```
+
+**Reading the diagram:**
+
+- **Head Sampling (Node)**: The first filter -- each rippled node decides whether to sample a trace at creation time (default 100%, recommended 10% in production). This controls the volume leaving the node.
+- **Tail Sampling (Collector)**: The second filter -- the collector inspects completed traces and applies rules: keep all errors, keep anything slower than 5 seconds, and keep 10% of the remainder.
+- **Arrow head → tail**: All head-sampled traces flow to the collector, where tail sampling further reduces volume while preserving the most valuable data.
+- **Final Traces**: The output after both sampling stages; this is what gets stored and queried. The two-stage approach balances cost with debuggability.
+
+### 7.4.3 Data Retention
+
+| Environment | Hot Storage | Warm Storage | Cold Archive |
+| ----------- | ----------- | ------------ | ------------ |
+| Development | 24 hours    | N/A          | N/A          |
+| Staging     | 7 days      | N/A          | N/A          |
+| Production  | 7 days      | 30 days      | many years   |
+
+---
+
+## 7.5 Integration Checklist
+
+- [ ] Choose primary backend (Tempo recommended for cost/features)
+- [ ] Deploy collector cluster with high availability
+- [ ] Configure tail-based sampling for error/latency traces
+- [ ] Set up Grafana dashboards for trace visualization
+- [ ] Configure alerts for trace anomalies
+- [ ] Establish data retention policies
+- [ ] Test trace correlation with logs and metrics
+
+---
+
+## 7.6 Grafana Dashboard Examples
+
+Pre-built dashboards for rippled observability.
+
+### 7.6.1 Consensus Health Dashboard
+
+```json
+{
+  "title": "rippled Consensus Health",
+  "uid": "rippled-consensus-health",
+  "tags": ["rippled", "consensus", "tracing"],
+  "panels": [
+    {
+      "title": "Consensus Round Duration",
+      "type": "timeseries",
+      "datasource": "Tempo",
+      "targets": [
+        {
+          "queryType": "traceql",
+          "query": "{resource.service.name=\"rippled\" && name=\"consensus.round\"} | avg(duration) by (resource.service.instance.id)"
+        }
+      ],
+      "fieldConfig": {
+        "defaults": {
+          "unit": "ms",
+          "thresholds": {
+            "steps": [
+              { "color": "green", "value": null },
+              { "color": "yellow", "value": 4000 },
+              { "color": "red", "value": 5000 }
+            ]
+          }
+        }
+      },
+      "gridPos": { "h": 8, "w": 12, "x": 0, "y": 0 }
+    },
+    {
+      "title": "Phase Duration Breakdown",
+      "type": "barchart",
+      "datasource": "Tempo",
+      "targets": [
+        {
+          "queryType": "traceql",
+          "query": "{resource.service.name=\"rippled\" && name=~\"consensus.phase.*\"} | avg(duration) by (name)"
+        }
+      ],
+      "gridPos": { "h": 8, "w": 12, "x": 12, "y": 0 }
+    },
+    {
+      "title": "Proposers per Round",
+      "type": "stat",
+      "datasource": "Tempo",
+      "targets": [
+        {
+          "queryType": "traceql",
+          "query": "{resource.service.name=\"rippled\" && name=\"consensus.round\"} | avg(span.xrpl.consensus.proposers)"
+        }
+      ],
+      "gridPos": { "h": 4, "w": 6, "x": 0, "y": 8 }
+    },
+    {
+      "title": "Recent Slow Rounds (>5s)",
+      "type": "table",
+      "datasource": "Tempo",
+      "targets": [
+        {
+          "queryType": "traceql",
+          "query": "{resource.service.name=\"rippled\" && name=\"consensus.round\"} | duration > 5s"
+        }
+      ],
+      "gridPos": { "h": 8, "w": 24, "x": 0, "y": 12 }
+    }
+  ]
+}
+```
+
+### 7.6.2 Node Overview Dashboard
+
+```json
+{
+  "title": "rippled Node Overview",
+  "uid": "rippled-node-overview",
+  "panels": [
+    {
+      "title": "Active Nodes",
+      "type": "stat",
+      "datasource": "Tempo",
+      "targets": [
+        {
+          "queryType": "traceql",
+          "query": "{resource.service.name=\"rippled\"} | count_over_time() by (resource.service.instance.id) | count()"
+        }
+      ],
+      "gridPos": { "h": 4, "w": 4, "x": 0, "y": 0 }
+    },
+    {
+      "title": "Total Transactions (1h)",
+      "type": "stat",
+      "datasource": "Tempo",
+      "targets": [
+        {
+          "queryType": "traceql",
+          "query": "{resource.service.name=\"rippled\" && name=\"tx.receive\"} | count()"
+        }
+      ],
+      "gridPos": { "h": 4, "w": 4, "x": 4, "y": 0 }
+    },
+    {
+      "title": "Error Rate",
+      "type": "gauge",
+      "datasource": "Tempo",
+      "targets": [
+        {
+          "queryType": "traceql",
+          "query": "{resource.service.name=\"rippled\" && status.code=error} | rate() / {resource.service.name=\"rippled\"} | rate() * 100"
+        }
+      ],
+      "fieldConfig": {
+        "defaults": {
+          "unit": "percent",
+          "max": 10,
+          "thresholds": {
+            "steps": [
+              { "color": "green", "value": null },
+              { "color": "yellow", "value": 1 },
+              { "color": "red", "value": 5 }
+            ]
+          }
+        }
+      },
+      "gridPos": { "h": 4, "w": 4, "x": 8, "y": 0 }
+    },
+    {
+      "title": "Service Map",
+      "type": "nodeGraph",
+      "datasource": "Tempo",
+      "gridPos": { "h": 12, "w": 12, "x": 12, "y": 0 }
+    }
+  ]
+}
+```
+
+### 7.6.3 Alert Rules
+
+```yaml
+# grafana/provisioning/alerting/rippled-alerts.yaml
+apiVersion: 1
+
+groups:
+  - name: rippled-tracing-alerts
+    folder: rippled
+    interval: 1m
+    rules:
+      - uid: consensus-slow
+        title: Consensus Round Slow
+        condition: A
+        data:
+          - refId: A
+            datasourceUid: tempo
+            model:
+              queryType: traceql
+              query: '{resource.service.name="rippled" && name="consensus.round"} | avg(duration) > 5s'
+              # Note: Verify TraceQL aggregate queries are supported by your
+              # Tempo version. Aggregate alerting (e.g., avg(duration)) requires
+              # Tempo 2.3+ with TraceQL metrics enabled.
+        for: 5m
+        annotations:
+          summary: Consensus rounds taking >5 seconds
+          description: "Consensus duration: {{ $value }}ms"
+        labels:
+          severity: warning
+
+      - uid: rpc-error-spike
+        title: RPC Error Rate Spike
+        condition: B
+        data:
+          - refId: B
+            datasourceUid: tempo
+            model:
+              queryType: traceql
+              query: '{resource.service.name="rippled" && name=~"rpc.command.*" && status.code=error} | rate() > 0.05'
+              # Note: Verify TraceQL aggregate queries are supported by your
+              # Tempo version. Aggregate alerting (e.g., rate()) requires
+              # Tempo 2.3+ with TraceQL metrics enabled.
+        for: 2m
+        annotations:
+          summary: RPC error rate >5%
+        labels:
+          severity: critical
+
+      - uid: tx-throughput-drop
+        title: Transaction Throughput Drop
+        condition: C
+        data:
+          - refId: C
+            datasourceUid: tempo
+            model:
+              queryType: traceql
+              query: '{resource.service.name="rippled" && name="tx.receive"} | rate() < 10'
+        for: 10m
+        annotations:
+          summary: Transaction throughput below threshold
+        labels:
+          severity: warning
+```
+
+---
+
+## 7.7 PerfLog and Insight Correlation
+
+> **OTLP** = OpenTelemetry Protocol
+
+How to correlate OpenTelemetry traces with existing rippled observability.
+
+### 7.7.1 Correlation Architecture
+
+```mermaid
+flowchart TB
+    subgraph rippled["rippled Node"]
+        otel[OpenTelemetry<br/>Spans]
+        perflog[PerfLog<br/>JSON Logs]
+        insight[Beast Insight<br/>StatsD Metrics]
+    end
+
+    subgraph collectors["Data Collection"]
+        otelc[OTel Collector]
+        promtail[Promtail/Fluentd]
+        statsd[StatsD Exporter]
+    end
+
+    subgraph storage["Storage"]
+        tempo[(Tempo)]
+        loki[(Loki)]
+        prom[(Prometheus)]
+    end
+
+    subgraph grafana["Grafana"]
+        traces[Trace View]
+        logs[Log View]
+        metrics[Metrics View]
+        corr[Correlation<br/>Panel]
+    end
+
+    otel -->|OTLP| otelc --> tempo
+    perflog -->|JSON| promtail --> loki
+    insight -->|StatsD| statsd --> prom
+
+    tempo --> traces
+    loki --> logs
+    prom --> metrics
+
+    traces --> corr
+    logs --> corr
+    metrics --> corr
+
+    style rippled fill:#0d47a1,stroke:#082f6a,color:#fff
+    style collectors fill:#bf360c,stroke:#8c2809,color:#fff
+    style storage fill:#1b5e20,stroke:#0d3d14,color:#fff
+    style grafana fill:#4a148c,stroke:#2e0d57,color:#fff
+    style otel fill:#0d47a1,stroke:#082f6a,color:#fff
+    style perflog fill:#0d47a1,stroke:#082f6a,color:#fff
+    style insight fill:#0d47a1,stroke:#082f6a,color:#fff
+    style otelc fill:#bf360c,stroke:#8c2809,color:#fff
+    style promtail fill:#bf360c,stroke:#8c2809,color:#fff
+    style statsd fill:#bf360c,stroke:#8c2809,color:#fff
+    style tempo fill:#1b5e20,stroke:#0d3d14,color:#fff
+    style loki fill:#1b5e20,stroke:#0d3d14,color:#fff
+    style prom fill:#1b5e20,stroke:#0d3d14,color:#fff
+    style traces fill:#4a148c,stroke:#2e0d57,color:#fff
+    style logs fill:#4a148c,stroke:#2e0d57,color:#fff
+    style metrics fill:#4a148c,stroke:#2e0d57,color:#fff
+    style corr fill:#4a148c,stroke:#2e0d57,color:#fff
+```
+
+**Reading the diagram:**
+
+- **rippled Node (three sources)**: A single node emits three independent data streams -- OpenTelemetry spans, PerfLog JSON logs, and Beast Insight StatsD metrics.
+- **Data Collection layer**: Each stream has its own collector -- OTel Collector for spans, Promtail/Fluentd for logs, and a StatsD exporter for metrics. They operate independently.
+- **Storage layer (Tempo, Loki, Prometheus)**: Each data type lands in a purpose-built store optimized for its query patterns (trace search, log grep, metric aggregation).
+- **Grafana Correlation Panel**: The key integration point -- Grafana queries all three stores and links them via shared fields (`trace_id`, `xrpl.tx.hash`, `ledger_seq`), enabling a single-pane debugging experience.
+
+### 7.7.2 Correlation Fields
+
+| Source      | Field                       | Link To       | Purpose                    |
+| ----------- | --------------------------- | ------------- | -------------------------- |
+| **Trace**   | `trace_id`                  | Logs          | Find log entries for trace |
+| **Trace**   | `xrpl.tx.hash`              | Logs, Metrics | Find TX-related data       |
+| **Trace**   | `xrpl.consensus.ledger.seq` | Logs          | Find ledger-related logs   |
+| **PerfLog** | `trace_id` (new)            | Traces        | Jump to trace from log     |
+| **PerfLog** | `ledger_seq`                | Traces        | Find consensus trace       |
+| **Insight** | `exemplar.trace_id`         | Traces        | Jump from metric spike     |
+
+### 7.7.3 Example: Debugging a Slow Transaction
+
+**Step 1: Find the trace**
+
+```
+# In Grafana Explore with Tempo
+{resource.service.name="rippled" && span.xrpl.tx.hash="ABC123..."}
+```
+
+**Step 2: Get the trace_id from the trace view**
+
+```
+Trace ID: 4bf92f3577b34da6a3ce929d0e0e4736
+```
+
+**Step 3: Find related PerfLog entries**
+
+```
+# In Grafana Explore with Loki
+{job="rippled"} |= "4bf92f3577b34da6a3ce929d0e0e4736"
+```
+
+**Step 4: Check Insight metrics for the time window**
+
+```
+# In Grafana with Prometheus
+rate(rippled_tx_applied_total[1m])
+  @ timestamp_from_trace
+```
+
+### 7.7.4 Unified Dashboard Example
+
+```json
+{
+  "title": "rippled Unified Observability",
+  "uid": "rippled-unified",
+  "panels": [
+    {
+      "title": "Transaction Latency (Traces)",
+      "type": "timeseries",
+      "datasource": "Tempo",
+      "targets": [
+        {
+          "queryType": "traceql",
+          "query": "{resource.service.name=\"rippled\" && name=\"tx.receive\"} | histogram_over_time(duration)"
+        }
+      ],
+      "gridPos": { "h": 6, "w": 8, "x": 0, "y": 0 }
+    },
+    {
+      "title": "Transaction Rate (Metrics)",
+      "type": "timeseries",
+      "datasource": "Prometheus",
+      "targets": [
+        {
+          "expr": "rate(rippled_tx_received_total[5m])",
+          "legendFormat": "{{ instance }}"
+        }
+      ],
+      "fieldConfig": {
+        "defaults": {
+          "links": [
+            {
+              "title": "View traces",
+              "url": "/explore?left={\"datasource\":\"Tempo\",\"query\":\"{resource.service.name=\\\"rippled\\\" && name=\\\"tx.receive\\\"}\"}"
+            }
+          ]
+        }
+      },
+      "gridPos": { "h": 6, "w": 8, "x": 8, "y": 0 }
+    },
+    {
+      "title": "Recent Logs",
+      "type": "logs",
+      "datasource": "Loki",
+      "targets": [
+        {
+          "expr": "{job=\"rippled\"} | json"
+        }
+      ],
+      "gridPos": { "h": 6, "w": 8, "x": 16, "y": 0 }
+    },
+    {
+      "title": "Trace Search",
+      "type": "table",
+      "datasource": "Tempo",
+      "targets": [
+        {
+          "queryType": "traceql",
+          "query": "{resource.service.name=\"rippled\"}"
+        }
+      ],
+      "fieldConfig": {
+        "overrides": [
+          {
+            "matcher": { "id": "byName", "options": "traceID" },
+            "properties": [
+              {
+                "id": "links",
+                "value": [
+                  {
+                    "title": "View trace",
+                    "url": "/explore?left={\"datasource\":\"Tempo\",\"query\":\"${__value.raw}\"}"
+                  },
+                  {
+                    "title": "View logs",
+                    "url": "/explore?left={\"datasource\":\"Loki\",\"query\":\"{job=\\\"rippled\\\"} |= \\\"${__value.raw}\\\"\"}"
+                  }
+                ]
+              }
+            ]
+          }
+        ]
+      },
+      "gridPos": { "h": 12, "w": 24, "x": 0, "y": 6 }
+    }
+  ]
+}
+```
+
+---
+
+_Previous: [Implementation Phases](./06-implementation-phases.md)_ | _Next: [Appendix](./08-appendix.md)_ | _Back to: [Overview](./OpenTelemetryPlan.md)_
--- a/OpenTelemetryPlan/08-appendix.md
+++ b/OpenTelemetryPlan/08-appendix.md
@@ -0,0 +1,204 @@
+# Appendix
+
+> **Parent Document**: [OpenTelemetryPlan.md](./OpenTelemetryPlan.md)
+> **Related**: [Observability Backends](./07-observability-backends.md)
+
+---
+
+## 8.1 Glossary
+
+> **OTLP** = OpenTelemetry Protocol | **TxQ** = Transaction Queue
+
+| Term                  | Definition                                                 |
+| --------------------- | ---------------------------------------------------------- |
+| **Span**              | A unit of work with start/end time, name, and attributes   |
+| **Trace**             | A collection of spans representing a complete request flow |
+| **Trace ID**          | 128-bit unique identifier for a trace                      |
+| **Span ID**           | 64-bit unique identifier for a span within a trace         |
+| **Context**           | Carrier for trace/span IDs across boundaries               |
+| **Propagator**        | Component that injects/extracts context                    |
+| **Sampler**           | Decides which traces to record                             |
+| **Exporter**          | Sends spans to backend                                     |
+| **Collector**         | Receives, processes, and forwards telemetry                |
+| **OTLP**              | OpenTelemetry Protocol (wire format)                       |
+| **W3C Trace Context** | Standard HTTP headers for trace propagation                |
+| **Baggage**           | Key-value pairs propagated across service boundaries       |
+| **Resource**          | Entity producing telemetry (service, host, etc.)           |
+| **Instrumentation**   | Code that creates telemetry data                           |
+
+### rippled-Specific Terms
+
+| Term              | Definition                                                    |
+| ----------------- | ------------------------------------------------------------- |
+| **Overlay**       | P2P network layer managing peer connections                   |
+| **Consensus**     | XRP Ledger consensus algorithm (RCL)                          |
+| **Proposal**      | Validator's suggested transaction set for a ledger            |
+| **Validation**    | Validator's signature on a closed ledger                      |
+| **HashRouter**    | Component for transaction deduplication                       |
+| **JobQueue**      | Thread pool for asynchronous task execution                   |
+| **PerfLog**       | Existing performance logging system in rippled                |
+| **Beast Insight** | Existing metrics framework in rippled                         |
+| **PathFinding**   | Payment path computation engine for cross-currency payments   |
+| **TxQ**           | Transaction queue managing fee-based prioritization           |
+| **LoadManager**   | Dynamic fee escalation based on network load                  |
+| **SHAMap**        | SHA-256 hash-based map (Merkle trie variant) for ledger state |
+
+---
+
+## 8.2 Span Hierarchy Visualization
+
+> **TxQ** = Transaction Queue
+
+```mermaid
+flowchart TB
+    subgraph trace["Trace: Transaction Lifecycle"]
+        rpc["rpc.request<br/>(entry point)"]
+        validate["tx.validate"]
+        relay["tx.relay<br/>(parent span)"]
+
+        subgraph peers["Peer Spans"]
+            p1["peer.send<br/>Peer A"]
+            p2["peer.send<br/>Peer B"]
+            p3["peer.send<br/>Peer C"]
+        end
+
+        subgraph pathfinding["PathFinding Spans"]
+            pathfind["pathfind.request"]
+            pathcomp["pathfind.compute"]
+        end
+
+        consensus["consensus.round"]
+        apply["tx.apply"]
+
+        subgraph txqueue["TxQ Spans"]
+            txq["txq.enqueue"]
+            txqApply["txq.apply"]
+        end
+
+        feeCalc["fee.escalate"]
+    end
+
+    subgraph validators["Validator Spans"]
+        valFetch["validator.list.fetch"]
+        valManifest["validator.manifest"]
+    end
+
+    rpc --> validate
+    rpc --> pathfind
+    pathfind --> pathcomp
+    validate --> relay
+    relay --> p1
+    relay --> p2
+    relay --> p3
+    p1 -.->|"context propagation"| consensus
+    consensus --> apply
+    apply --> txq
+    txq --> txqApply
+    txq --> feeCalc
+
+    style trace fill:#0f172a,stroke:#020617,color:#fff
+    style peers fill:#1e3a8a,stroke:#172554,color:#fff
+    style pathfinding fill:#134e4a,stroke:#0f766e,color:#fff
+    style txqueue fill:#064e3b,stroke:#047857,color:#fff
+    style validators fill:#4c1d95,stroke:#6d28d9,color:#fff
+    style rpc fill:#1d4ed8,stroke:#1e40af,color:#fff
+    style validate fill:#047857,stroke:#064e3b,color:#fff
+    style relay fill:#047857,stroke:#064e3b,color:#fff
+    style p1 fill:#0e7490,stroke:#155e75,color:#fff
+    style p2 fill:#0e7490,stroke:#155e75,color:#fff
+    style p3 fill:#0e7490,stroke:#155e75,color:#fff
+    style consensus fill:#fef3c7,stroke:#fde68a,color:#1e293b
+    style apply fill:#047857,stroke:#064e3b,color:#fff
+    style pathfind fill:#0e7490,stroke:#155e75,color:#fff
+    style pathcomp fill:#0e7490,stroke:#155e75,color:#fff
+    style txq fill:#047857,stroke:#064e3b,color:#fff
+    style txqApply fill:#047857,stroke:#064e3b,color:#fff
+    style feeCalc fill:#047857,stroke:#064e3b,color:#fff
+    style valFetch fill:#6d28d9,stroke:#4c1d95,color:#fff
+    style valManifest fill:#6d28d9,stroke:#4c1d95,color:#fff
+```
+
+**Reading the diagram:**
+
+- **rpc.request (blue, top)**: The entry point — every traced transaction starts as an RPC call; this root span is the parent of all downstream work.
+- **tx.validate and pathfind.request (green/teal, first fork)**: The RPC request fans out into transaction validation and, for cross-currency payments, a PathFinding branch (`pathfind.request` -> `pathfind.compute`).
+- **tx.relay -> Peer Spans (teal, middle)**: After validation, the transaction is relayed to peers A, B, and C in parallel; each `peer.send` is a sibling child span showing fan-out across the network.
+- **context propagation (dashed arrow)**: The dotted line from `peer.send Peer A` to `consensus.round` represents the trace context crossing a node boundary — the receiving validator picks up the same `trace_id` and continues the trace.
+- **consensus.round -> tx.apply -> TxQ Spans (green, lower)**: Once consensus accepts the transaction, it is applied to the ledger; the TxQ spans (`txq.enqueue`, `txq.apply`, `fee.escalate`) capture queue depth and fee escalation behavior.
+- **Validator Spans (purple, detached)**: `validator.list.fetch` and `validator.manifest` are independent workflows for UNL management — they run on their own traces and are linked to consensus via Span Links, not parent-child relationships.
+
+---
+
+## 8.3 References
+
+> **OTLP** = OpenTelemetry Protocol
+
+### OpenTelemetry Resources
+
+1. [OpenTelemetry C++ SDK](https://github.com/open-telemetry/opentelemetry-cpp)
+2. [OpenTelemetry Specification](https://opentelemetry.io/docs/specs/otel/)
+3. [OpenTelemetry Collector](https://opentelemetry.io/docs/collector/)
+4. [OTLP Protocol Specification](https://opentelemetry.io/docs/specs/otlp/)
+
+### Standards
+
+5. [W3C Trace Context](https://www.w3.org/TR/trace-context/)
+6. [W3C Baggage](https://www.w3.org/TR/baggage/)
+7. [Protocol Buffers](https://protobuf.dev/)
+
+### rippled Resources
+
+8. [rippled Source Code](https://github.com/XRPLF/rippled)
+9. [XRP Ledger Documentation](https://xrpl.org/docs/)
+10. [rippled Overlay README](https://github.com/XRPLF/rippled/blob/develop/src/xrpld/overlay/README.md)
+11. [rippled RPC README](https://github.com/XRPLF/rippled/blob/develop/src/xrpld/rpc/README.md)
+12. [rippled Consensus README](https://github.com/XRPLF/rippled/blob/develop/src/xrpld/app/consensus/README.md)
+
+---
+
+## 8.4 Version History
+
+| Version | Date       | Author | Changes                                                        |
+| ------- | ---------- | ------ | -------------------------------------------------------------- |
+| 1.0     | 2026-02-12 | -      | Initial implementation plan                                    |
+| 1.1     | 2026-02-13 | -      | Refactored into modular documents                              |
+| 1.2     | 2026-03-24 | -      | Review fixes: accuracy corrections, cross-document consistency |
+
+---
+
+## 8.5 Document Index
+
+### Plan Documents
+
+| Document                                                             | Description                                  |
+| -------------------------------------------------------------------- | -------------------------------------------- |
+| [OpenTelemetryPlan.md](./OpenTelemetryPlan.md)                       | Master overview and executive summary        |
+| [00-tracing-fundamentals.md](./00-tracing-fundamentals.md)           | Distributed tracing concepts and OTel primer |
+| [01-architecture-analysis.md](./01-architecture-analysis.md)         | rippled architecture and trace points        |
+| [02-design-decisions.md](./02-design-decisions.md)                   | SDK selection, exporters, span conventions   |
+| [03-implementation-strategy.md](./03-implementation-strategy.md)     | Directory structure, performance analysis    |
+| [04-code-samples.md](./04-code-samples.md)                           | C++ code examples for all components         |
+| [05-configuration-reference.md](./05-configuration-reference.md)     | rippled config, CMake, Collector configs     |
+| [06-implementation-phases.md](./06-implementation-phases.md)         | Timeline, tasks, risks, success metrics      |
+| [07-observability-backends.md](./07-observability-backends.md)       | Backend selection and architecture           |
+| [08-appendix.md](./08-appendix.md)                                   | Glossary, references, version history        |
+| [09-data-collection-reference.md](./09-data-collection-reference.md) | Span/metric/dashboard inventory              |
+| [presentation.md](./presentation.md)                                 | Slide deck for OTel plan overview            |
+
+### Task Lists
+
+| Document                                                                   | Description                                         |
+| -------------------------------------------------------------------------- | --------------------------------------------------- |
+| [POC_taskList.md](./POC_taskList.md)                                       | Proof-of-concept telemetry integration              |
+| [Phase2_taskList.md](./Phase2_taskList.md)                                 | RPC layer trace instrumentation                     |
+| [Phase3_taskList.md](./Phase3_taskList.md)                                 | Peer overlay & consensus tracing                    |
+| [Phase4_taskList.md](./Phase4_taskList.md)                                 | Transaction lifecycle tracing                       |
+| [Phase5_taskList.md](./Phase5_taskList.md)                                 | Ledger processing & advanced tracing                |
+| [Phase5_IntegrationTest_taskList.md](./Phase5_IntegrationTest_taskList.md) | Observability stack integration tests               |
+| [Phase7_taskList.md](./Phase7_taskList.md)                                 | Native OTel metrics migration                       |
+| [Phase8_taskList.md](./Phase8_taskList.md)                                 | Log-trace correlation                               |
+| [presentation.md](./presentation.md)                                       | Presentation slides for OpenTelemetry plan overview |
+
+---
+
+_Previous: [Observability Backends](./07-observability-backends.md)_ | _Back to: [Overview](./OpenTelemetryPlan.md)_
--- a/OpenTelemetryPlan/09-data-collection-reference.md
+++ b/OpenTelemetryPlan/09-data-collection-reference.md
@@ -0,0 +1,636 @@
+# Observability Data Collection Reference
+
+> **Audience**: Developers and operators. This is the single source of truth for all telemetry data collected by rippled's observability stack.
+>
+> **Related docs**: [docs/telemetry-runbook.md](../docs/telemetry-runbook.md) (operator runbook with alerting and troubleshooting) | [03-implementation-strategy.md](./03-implementation-strategy.md) (code structure and performance optimization) | [04-code-samples.md](./04-code-samples.md) (C++ instrumentation examples)
+
+## Data Flow Overview
+
+```mermaid
+graph LR
+    subgraph rippledNode["rippled Node"]
+        A["Trace Macros<br/>XRPL_TRACE_SPAN<br/>(OTLP/HTTP exporter)"]
+        B["beast::insight<br/>OTel native metrics<br/>(OTLP/HTTP exporter)"]
+    end
+
+    subgraph collector["OTel Collector  :4317 / :4318"]
+        direction TB
+        R1["OTLP Receiver<br/>:4317 gRPC  |  :4318 HTTP<br/>(traces + metrics)"]
+        BP["Batch Processor<br/>timeout 1s, batch 100"]
+        SM["SpanMetrics Connector<br/>derives RED metrics<br/>from trace spans"]
+
+        R1 --> BP
+        BP --> SM
+    end
+
+    subgraph backends["Trace Backends  (choose one or both)"]
+        D["Jaeger  :16686<br/>Trace search &<br/>visualization"]
+        T["Grafana Tempo<br/>(preferred for production)<br/>S3/GCS long-term storage"]
+    end
+
+    subgraph metrics["Metrics Stack"]
+        E["Prometheus  :9090<br/>scrapes :8889<br/>span-derived + system metrics"]
+    end
+
+    subgraph viz["Visualization"]
+        F["Grafana  :3000<br/>10 dashboards"]
+    end
+
+    A -->|"OTLP/HTTP :4318<br/>(traces + attributes)"| R1
+    B -->|"OTLP/HTTP :4318<br/>(gauges, counters, histograms)"| R1
+
+    BP -->|"OTLP/gRPC :4317"| D
+    BP -->|"OTLP/gRPC"| T
+
+    SM -->|"span_calls_total<br/>span_duration_ms<br/>(6 dimension labels)"| E
+    R1 -->|"rippled_* gauges<br/>rippled_* counters<br/>rippled_* histograms"| E
+
+    E -->|"Prometheus<br/>data source"| F
+    D -->|"Jaeger<br/>data source"| F
+    T -->|"Tempo<br/>data source"| F
+
+    style A fill:#4a90d9,color:#fff,stroke:#2a6db5
+    style B fill:#4a90d9,color:#fff,stroke:#2a6db5
+    style R1 fill:#5cb85c,color:#fff,stroke:#3d8b3d
+    style BP fill:#449d44,color:#fff,stroke:#2d6e2d
+    style SM fill:#449d44,color:#fff,stroke:#2d6e2d
+    style D fill:#f0ad4e,color:#000,stroke:#c78c2e
+    style T fill:#e8953a,color:#000,stroke:#b5732a
+    style E fill:#f0ad4e,color:#000,stroke:#c78c2e
+    style F fill:#5bc0de,color:#000,stroke:#3aa8c1
+    style rippledNode fill:#1a2633,color:#ccc,stroke:#4a90d9
+    style collector fill:#1a3320,color:#ccc,stroke:#5cb85c
+    style backends fill:#332a1a,color:#ccc,stroke:#f0ad4e
+    style metrics fill:#332a1a,color:#ccc,stroke:#f0ad4e
+    style viz fill:#1a2d33,color:#ccc,stroke:#5bc0de
+```
+
+There are two independent telemetry pipelines entering a single **OTel Collector** via the same OTLP receiver:
+
+1. **OpenTelemetry Traces** — Distributed spans with attributes, exported via OTLP/HTTP (:4318) to the collector's **OTLP Receiver**. The **Batch Processor** groups spans (1s timeout, batch size 100) before forwarding to trace backends. The **SpanMetrics Connector** derives RED metrics (rate, errors, duration) from every span and feeds them into the metrics pipeline.
+2. **beast::insight OTel Metrics** — System-level gauges, counters, and histograms exported natively via OTLP/HTTP (:4318) to the same **OTLP Receiver**. These are batched and exported to Prometheus alongside span-derived metrics. The StatsD UDP transport has been replaced by native OTLP; `server=statsd` remains available as a fallback.
+
+**Trace backends** — The collector exports traces via OTLP/gRPC to one or both:
+
+- **Jaeger** (development) — Provides trace search UI at `:16686`. Easy single-binary setup.
+- **Grafana Tempo** (production) — Preferred for production. Supports S3/GCS object storage for cost-effective long-term trace retention and integrates natively with Grafana.
+
+> **Further reading**: [00-tracing-fundamentals.md](./00-tracing-fundamentals.md) for core OpenTelemetry concepts (traces, spans, context propagation, sampling). [07-observability-backends.md](./07-observability-backends.md) for production backend selection, collector placement, and sampling strategies.
+
+---
+
+## 1. OpenTelemetry Spans
+
+### 1.1 Complete Span Inventory (16 spans)
+
+> **See also**: [02-design-decisions.md §2.3](./02-design-decisions.md#23-span-naming-conventions) for naming conventions and the full span catalog with rationale. [04-code-samples.md §4.6](./04-code-samples.md#46-span-flow-visualization) for span flow diagrams.
+
+#### RPC Spans
+
+Controlled by `trace_rpc=1` in `[telemetry]` config.
+
+| Span Name            | Parent        | Source File       | Description                                                              |
+| -------------------- | ------------- | ----------------- | ------------------------------------------------------------------------ |
+| `rpc.request`        | —             | ServerHandler.cpp | Top-level HTTP RPC request entry point                                   |
+| `rpc.process`        | `rpc.request` | ServerHandler.cpp | RPC processing pipeline                                                  |
+| `rpc.ws_message`     | —             | ServerHandler.cpp | WebSocket message handling                                               |
+| `rpc.command.<name>` | `rpc.process` | RPCHandler.cpp    | Per-command span (e.g., `rpc.command.server_info`, `rpc.command.ledger`) |
+
+**Where to find**: Jaeger → Service: `rippled` → Operation: `rpc.request` or `rpc.command.*`
+
+**Grafana dashboard**: _RPC Performance_ (`rippled-rpc-perf`)
+
+#### Transaction Spans
+
+Controlled by `trace_transactions=1` in `[telemetry]` config.
+
+| Span Name    | Parent         | Source File     | Description                                                       |
+| ------------ | -------------- | --------------- | ----------------------------------------------------------------- |
+| `tx.process` | —              | NetworkOPs.cpp  | Transaction submission entry point (local or peer-relayed)        |
+| `tx.receive` | —              | PeerImp.cpp     | Raw transaction received from peer overlay (before deduplication) |
+| `tx.apply`   | `ledger.build` | BuildLedger.cpp | Transaction set applied to new ledger during consensus            |
+
+**Where to find**: Jaeger → Operation: `tx.process` or `tx.receive`
+
+**Grafana dashboard**: _Transaction Overview_ (`rippled-transactions`)
+
+#### Consensus Spans
+
+Controlled by `trace_consensus=1` in `[telemetry]` config.
+
+| Span Name                   | Parent | Source File      | Description                                   |
+| --------------------------- | ------ | ---------------- | --------------------------------------------- |
+| `consensus.proposal.send`   | —      | RCLConsensus.cpp | Node broadcasts its transaction set proposal  |
+| `consensus.ledger_close`    | —      | RCLConsensus.cpp | Ledger close event triggered by consensus     |
+| `consensus.accept`          | —      | RCLConsensus.cpp | Consensus accepts a ledger (round complete)   |
+| `consensus.validation.send` | —      | RCLConsensus.cpp | Validation message sent after ledger accepted |
+| `consensus.accept.apply`    | —      | RCLConsensus.cpp | Ledger application with close time details    |
+
+**Where to find**: Jaeger → Operation: `consensus.*`
+
+**Grafana dashboard**: _Consensus Health_ (`rippled-consensus`)
+
+#### Ledger Spans
+
+Controlled by `trace_ledger=1` in `[telemetry]` config.
+
+| Span Name         | Parent | Source File      | Description                                    |
+| ----------------- | ------ | ---------------- | ---------------------------------------------- |
+| `ledger.build`    | —      | BuildLedger.cpp  | Build new ledger from accepted transaction set |
+| `ledger.validate` | —      | LedgerMaster.cpp | Ledger promoted to validated status            |
+| `ledger.store`    | —      | LedgerMaster.cpp | Ledger stored to database/history              |
+
+**Where to find**: Jaeger → Operation: `ledger.*`
+
+**Grafana dashboard**: _Ledger Operations_ (`rippled-ledger-ops`)
+
+#### Peer Spans
+
+Controlled by `trace_peer=1` in `[telemetry]` config. **Disabled by default** (high volume).
+
+| Span Name                 | Parent | Source File | Description                           |
+| ------------------------- | ------ | ----------- | ------------------------------------- |
+| `peer.proposal.receive`   | —      | PeerImp.cpp | Consensus proposal received from peer |
+| `peer.validation.receive` | —      | PeerImp.cpp | Validation message received from peer |
+
+**Where to find**: Jaeger → Operation: `peer.*`
+
+**Grafana dashboard**: _Peer Network_ (`rippled-peer-net`)
+
+---
+
+### 1.2 Complete Attribute Inventory (22 attributes)
+
+> **See also**: [02-design-decisions.md §2.4.2](./02-design-decisions.md#242-span-attributes-by-category) for attribute design rationale and privacy considerations.
+
+Every span can carry key-value attributes that provide context for filtering and aggregation.
+
+#### RPC Attributes
+
+| Attribute                | Type   | Set On          | Description                                      |
+| ------------------------ | ------ | --------------- | ------------------------------------------------ |
+| `xrpl.rpc.command`       | string | `rpc.command.*` | RPC command name (e.g., `server_info`, `ledger`) |
+| `xrpl.rpc.version`       | int64  | `rpc.command.*` | API version number                               |
+| `xrpl.rpc.role`          | string | `rpc.command.*` | Caller role: `"admin"` or `"user"`               |
+| `xrpl.rpc.status`        | string | `rpc.command.*` | Result: `"success"` or `"error"`                 |
+| `xrpl.rpc.duration_ms`   | int64  | `rpc.command.*` | Command execution time in milliseconds           |
+| `xrpl.rpc.error_message` | string | `rpc.command.*` | Error details (only set on failure)              |
+
+**Jaeger query**: Tag `xrpl.rpc.command=server_info` to find all `server_info` calls.
+
+**Prometheus label**: `xrpl_rpc_command` (dots converted to underscores by SpanMetrics).
+
+#### Transaction Attributes
+
+| Attribute            | Type    | Set On                     | Description                                          |
+| -------------------- | ------- | -------------------------- | ---------------------------------------------------- |
+| `xrpl.tx.hash`       | string  | `tx.process`, `tx.receive` | Transaction hash (hex-encoded)                       |
+| `xrpl.tx.local`      | boolean | `tx.process`               | `true` if locally submitted, `false` if peer-relayed |
+| `xrpl.tx.path`       | string  | `tx.process`               | Submission path: `"sync"` or `"async"`               |
+| `xrpl.tx.suppressed` | boolean | `tx.receive`               | `true` if transaction was suppressed (duplicate)     |
+| `xrpl.tx.status`     | string  | `tx.receive`               | Transaction status (e.g., `"known_bad"`)             |
+
+**Jaeger query**: Tag `xrpl.tx.hash=<hash>` to trace a specific transaction across nodes.
+
+**Prometheus label**: `xrpl_tx_local` (used as SpanMetrics dimension).
+
+#### Consensus Attributes
+
+| Attribute                            | Type    | Set On                                                                                              | Description                                                   |
+| ------------------------------------ | ------- | --------------------------------------------------------------------------------------------------- | ------------------------------------------------------------- |
+| `xrpl.consensus.round`               | int64   | `consensus.proposal.send`                                                                           | Consensus round number                                        |
+| `xrpl.consensus.mode`                | string  | `consensus.proposal.send`, `consensus.ledger_close`                                                 | Node mode: `"syncing"`, `"tracking"`, `"full"`, `"proposing"` |
+| `xrpl.consensus.proposers`           | int64   | `consensus.proposal.send`, `consensus.accept`                                                       | Number of proposers in the round                              |
+| `xrpl.consensus.proposing`           | boolean | `consensus.validation.send`                                                                         | Whether this node was a proposer                              |
+| `xrpl.consensus.ledger.seq`          | int64   | `consensus.ledger_close`, `consensus.accept`, `consensus.validation.send`, `consensus.accept.apply` | Ledger sequence number                                        |
+| `xrpl.consensus.close_time`          | int64   | `consensus.accept.apply`                                                                            | Agreed-upon ledger close time (epoch seconds)                 |
+| `xrpl.consensus.close_time_correct`  | boolean | `consensus.accept.apply`                                                                            | Whether validators reached agreement on close time            |
+| `xrpl.consensus.close_resolution_ms` | int64   | `consensus.accept.apply`                                                                            | Close time rounding granularity in milliseconds               |
+| `xrpl.consensus.state`               | string  | `consensus.accept.apply`                                                                            | Consensus outcome: `"finished"` or `"moved_on"`               |
+| `xrpl.consensus.round_time_ms`       | int64   | `consensus.accept.apply`                                                                            | Total consensus round duration in milliseconds                |
+
+**Jaeger query**: Tag `xrpl.consensus.mode=proposing` to find rounds where node was proposing.
+
+**Prometheus label**: `xrpl_consensus_mode` (used as SpanMetrics dimension).
+
+#### Ledger Attributes
+
+| Attribute                 | Type  | Set On                                                        | Description                                    |
+| ------------------------- | ----- | ------------------------------------------------------------- | ---------------------------------------------- |
+| `xrpl.ledger.seq`         | int64 | `ledger.build`, `ledger.validate`, `ledger.store`, `tx.apply` | Ledger sequence number                         |
+| `xrpl.ledger.validations` | int64 | `ledger.validate`                                             | Number of validations received for this ledger |
+| `xrpl.ledger.tx_count`    | int64 | `ledger.build`, `tx.apply`                                    | Transactions in the ledger                     |
+| `xrpl.ledger.tx_failed`   | int64 | `ledger.build`, `tx.apply`                                    | Failed transactions in the ledger              |
+
+**Jaeger query**: Tag `xrpl.ledger.seq=12345` to find all spans for a specific ledger.
+
+#### Peer Attributes
+
+| Attribute                      | Type    | Set On                                                           | Description                                          |
+| ------------------------------ | ------- | ---------------------------------------------------------------- | ---------------------------------------------------- |
+| `xrpl.peer.id`                 | int64   | `tx.receive`, `peer.proposal.receive`, `peer.validation.receive` | Peer identifier                                      |
+| `xrpl.peer.proposal.trusted`   | boolean | `peer.proposal.receive`                                          | Whether the proposal came from a trusted validator   |
+| `xrpl.peer.validation.trusted` | boolean | `peer.validation.receive`                                        | Whether the validation came from a trusted validator |
+
+**Prometheus labels**: `xrpl_peer_proposal_trusted`, `xrpl_peer_validation_trusted` (SpanMetrics dimensions).
+
+---
+
+### 1.3 SpanMetrics — Derived Prometheus Metrics
+
+> **See also**: [01-architecture-analysis.md](./01-architecture-analysis.md) §1.8.2 for how span-derived metrics map to operational insights.
+
+The OTel Collector's SpanMetrics connector automatically generates RED (Rate, Errors, Duration) metrics from every span. No custom metrics code in rippled is needed.
+
+| Prometheus Metric                                  | Type      | Description                                                                    |
+| -------------------------------------------------- | --------- | ------------------------------------------------------------------------------ |
+| `traces_span_metrics_calls_total`                  | Counter   | Total span invocations                                                         |
+| `traces_span_metrics_duration_milliseconds_bucket` | Histogram | Latency distribution (buckets: 1, 5, 10, 25, 50, 100, 250, 500, 1000, 5000 ms) |
+| `traces_span_metrics_duration_milliseconds_count`  | Histogram | Observation count                                                              |
+| `traces_span_metrics_duration_milliseconds_sum`    | Histogram | Cumulative latency                                                             |
+
+**Standard labels on every metric**: `span_name`, `status_code`, `service_name`, `span_kind`
+
+**Additional dimension labels** (configured in `otel-collector-config.yaml`):
+
+| Span Attribute                 | Prometheus Label               | Applies To                |
+| ------------------------------ | ------------------------------ | ------------------------- |
+| `xrpl.rpc.command`             | `xrpl_rpc_command`             | `rpc.command.*`           |
+| `xrpl.rpc.status`              | `xrpl_rpc_status`              | `rpc.command.*`           |
+| `xrpl.consensus.mode`          | `xrpl_consensus_mode`          | `consensus.ledger_close`  |
+| `xrpl.tx.local`                | `xrpl_tx_local`                | `tx.process`              |
+| `xrpl.peer.proposal.trusted`   | `xrpl_peer_proposal_trusted`   | `peer.proposal.receive`   |
+| `xrpl.peer.validation.trusted` | `xrpl_peer_validation_trusted` | `peer.validation.receive` |
+
+**Where to query**: Prometheus → `traces_span_metrics_calls_total{span_name="rpc.command.server_info"}`
+
+---
+
+## 2. System Metrics (beast::insight — OTel native)
+
+> **See also**: [02-design-decisions.md](./02-design-decisions.md) for the beast::insight coexistence design. [06-implementation-phases.md](./06-implementation-phases.md) for the Phase 6/7 metric inventory.
+>
+> **Migration complete**: Phase 7 replaced the StatsD UDP transport with native OTel Metrics SDK export via OTLP/HTTP. The `beast::insight::Collector` interface and all metric names are preserved — only the wire protocol changed. `[insight] server=statsd` remains as a fallback.
+
+These are system-level metrics emitted by rippled's `beast::insight` framework via OTel OTLP/HTTP. They cover operational data that doesn't map to individual trace spans.
+
+### Configuration
+
+```ini
+# Recommended: native OTel metrics via OTLP/HTTP
+[insight]
+server=otel
+endpoint=http://localhost:4318/v1/metrics
+prefix=rippled
+```
+
+Fallback (StatsD):
+
+```ini
+[insight]
+server=statsd
+address=127.0.0.1:8125
+prefix=rippled
+```
+
+### 2.1 Gauges
+
+| Prometheus Metric                                   | Source File           | Description                              | Typical Range                   |
+| --------------------------------------------------- | --------------------- | ---------------------------------------- | ------------------------------- |
+| `rippled_LedgerMaster_Validated_Ledger_Age`         | LedgerMaster.h        | Seconds since last validated ledger      | 0–10 (healthy), >30 (stale)     |
+| `rippled_LedgerMaster_Published_Ledger_Age`         | LedgerMaster.h        | Seconds since last published ledger      | 0–10 (healthy)                  |
+| `rippled_State_Accounting_Disconnected_duration`    | NetworkOPs.cpp        | Cumulative seconds in Disconnected state | Monotonic                       |
+| `rippled_State_Accounting_Connected_duration`       | NetworkOPs.cpp        | Cumulative seconds in Connected state    | Monotonic                       |
+| `rippled_State_Accounting_Syncing_duration`         | NetworkOPs.cpp        | Cumulative seconds in Syncing state      | Monotonic                       |
+| `rippled_State_Accounting_Tracking_duration`        | NetworkOPs.cpp        | Cumulative seconds in Tracking state     | Monotonic                       |
+| `rippled_State_Accounting_Full_duration`            | NetworkOPs.cpp        | Cumulative seconds in Full state         | Monotonic (should dominate)     |
+| `rippled_State_Accounting_Disconnected_transitions` | NetworkOPs.cpp        | Count of transitions to Disconnected     | Low                             |
+| `rippled_State_Accounting_Connected_transitions`    | NetworkOPs.cpp        | Count of transitions to Connected        | Low                             |
+| `rippled_State_Accounting_Syncing_transitions`      | NetworkOPs.cpp        | Count of transitions to Syncing          | Low                             |
+| `rippled_State_Accounting_Tracking_transitions`     | NetworkOPs.cpp        | Count of transitions to Tracking         | Low                             |
+| `rippled_State_Accounting_Full_transitions`         | NetworkOPs.cpp        | Count of transitions to Full             | Low (should be 1 after startup) |
+| `rippled_Peer_Finder_Active_Inbound_Peers`          | PeerfinderManager.cpp | Active inbound peer connections          | 0–85                            |
+| `rippled_Peer_Finder_Active_Outbound_Peers`         | PeerfinderManager.cpp | Active outbound peer connections         | 10–21                           |
+| `rippled_Overlay_Peer_Disconnects`                  | OverlayImpl.cpp       | Cumulative peer disconnection count      | Low growth                      |
+| `rippled_job_count`                                 | JobQueue.cpp          | Current job queue depth                  | 0–100 (healthy)                 |
+
+**Grafana dashboard**: _Node Health (System Metrics)_ (`rippled-system-node-health`)
+
+### 2.2 Counters
+
+| Prometheus Metric                 | Source File        | Description                                   |
+| --------------------------------- | ------------------ | --------------------------------------------- |
+| `rippled_rpc_requests`            | ServerHandler.cpp  | Total RPC requests received                   |
+| `rippled_ledger_fetches`          | InboundLedgers.cpp | Inbound ledger fetch attempts                 |
+| `rippled_ledger_history_mismatch` | LedgerHistory.cpp  | Ledger hash mismatches detected               |
+| `rippled_warn`                    | Logic.h            | Resource manager warnings issued              |
+| `rippled_drop`                    | Logic.h            | Resource manager drops (connections rejected) |
+
+**Note**: With `server=otel`, `rippled_warn` and `rippled_drop` are properly exported as OTel Counter instruments. The previous StatsD `|m` type limitation no longer applies.
+
+**Grafana dashboard**: _RPC & Pathfinding (System Metrics)_ (`rippled-system-rpc`)
+
+### 2.3 Histograms (Event timers)
+
+| Prometheus Metric       | Source File       | Unit  | Description                    |
+| ----------------------- | ----------------- | ----- | ------------------------------ |
+| `rippled_rpc_time`      | ServerHandler.cpp | ms    | RPC response time distribution |
+| `rippled_rpc_size`      | ServerHandler.cpp | bytes | RPC response size distribution |
+| `rippled_ios_latency`   | Application.cpp   | ms    | I/O service loop latency       |
+| `rippled_pathfind_fast` | PathRequests.h    | ms    | Fast pathfinding duration      |
+| `rippled_pathfind_full` | PathRequests.h    | ms    | Full pathfinding duration      |
+
+Quantiles collected: 0th, 50th, 90th, 95th, 99th, 100th percentile.
+
+**Grafana dashboards**: _Node Health_ (`ios_latency`), _RPC & Pathfinding_ (`rpc_time`, `rpc_size`, `pathfind_*`)
+
+### 2.4 Overlay Traffic Metrics
+
+For each of the 45+ overlay traffic categories (defined in `TrafficCount.h`), four gauges are emitted:
+
+- `rippled_{category}_Bytes_In`
+- `rippled_{category}_Bytes_Out`
+- `rippled_{category}_Messages_In`
+- `rippled_{category}_Messages_Out`
+
+**Key categories**:
+
+| Category                                                          | Description                |
+| ----------------------------------------------------------------- | -------------------------- |
+| `total`                                                           | All traffic aggregated     |
+| `overhead` / `overhead_overlay`                                   | Protocol overhead          |
+| `transactions` / `transactions_duplicate`                         | Transaction relay          |
+| `proposals` / `proposals_untrusted` / `proposals_duplicate`       | Consensus proposals        |
+| `validations` / `validations_untrusted` / `validations_duplicate` | Consensus validations      |
+| `ledger_data_get` / `ledger_data_share`                           | Ledger data exchange       |
+| `ledger_data_Transaction_Node_get/share`                          | Transaction node data      |
+| `ledger_data_Account_State_Node_get/share`                        | Account state node data    |
+| `ledger_data_Transaction_Set_candidate_get/share`                 | Transaction set candidates |
+| `getObject` / `haveTxSet` / `ledgerData`                          | Object requests            |
+| `ping` / `status`                                                 | Keepalive and status       |
+| `set_get`                                                         | Set requests               |
+
+**Grafana dashboards**: _Network Traffic_ (`rippled-system-network`), _Overlay Traffic Detail_ (`rippled-system-overlay-detail`), _Ledger Data & Sync_ (`rippled-system-ledger-sync`)
+
+---
+
+## 3. Grafana Dashboard Reference
+
+> **See also**: [05-configuration-reference.md](./05-configuration-reference.md) §5.8 for Grafana data source provisioning (Tempo, Jaeger, Prometheus) and TraceQL query examples.
+
+### 3.1 Span-Derived Dashboards (5)
+
+| Dashboard            | UID                    | Data Source              | Key Panels                                                                         |
+| -------------------- | ---------------------- | ------------------------ | ---------------------------------------------------------------------------------- |
+| RPC Performance      | `rippled-rpc-perf`     | Prometheus (SpanMetrics) | Request rate by command, p95 latency by command, error rate, heatmap, top commands |
+| Transaction Overview | `rippled-transactions` | Prometheus (SpanMetrics) | Processing rate, latency p95/p50, local vs relay split, apply duration, heatmap    |
+| Consensus Health     | `rippled-consensus`    | Prometheus (SpanMetrics) | Round duration p95/p50, proposals rate, close duration, mode timeline, heatmap     |
+| Ledger Operations    | `rippled-ledger-ops`   | Prometheus (SpanMetrics) | Build rate, build duration, validation rate, store rate, build vs close comparison |
+| Peer Network         | `rippled-peer-net`     | Prometheus (SpanMetrics) | Proposal receive rate, validation receive rate, trusted vs untrusted breakdown     |
+
+### 3.2 System Metrics Dashboards (5)
+
+| Dashboard              | UID                             | Data Source       | Key Panels                                                                        |
+| ---------------------- | ------------------------------- | ----------------- | --------------------------------------------------------------------------------- |
+| Node Health            | `rippled-system-node-health`    | Prometheus (OTLP) | Ledger age, operating mode, I/O latency, job queue, fetch rate                    |
+| Network Traffic        | `rippled-system-network`        | Prometheus (OTLP) | Active peers, disconnects, bytes in/out, messages in/out, traffic by category     |
+| RPC & Pathfinding      | `rippled-system-rpc`            | Prometheus (OTLP) | RPC rate, response time/size, pathfinding duration, resource warnings/drops       |
+| Overlay Traffic Detail | `rippled-system-overlay-detail` | Prometheus (OTLP) | Squelch, overhead, validator lists, set get/share, have/requested tx, proof paths |
+| Ledger Data & Sync     | `rippled-system-ledger-sync`    | Prometheus (OTLP) | Ledger data exchange, legacy ledger share/get, getobject by type, traffic heatmap |
+
+### 3.3 Accessing the Dashboards
+
+1. Open Grafana at **http://localhost:3000**
+2. Navigate to **Dashboards → rippled** folder
+3. All 10 dashboards are auto-provisioned from `docker/telemetry/grafana/dashboards/`
+
+---
+
+## 4. Jaeger Trace Search Guide
+
+> **See also**: [08-appendix.md](./08-appendix.md) §8.2 for span hierarchy visualizations. [05-configuration-reference.md](./05-configuration-reference.md) §5.8.5 for TraceQL examples when using Grafana Tempo instead of Jaeger.
+
+### Finding Traces by Type
+
+| What to Find             | Jaeger Search Parameters                                   |
+| ------------------------ | ---------------------------------------------------------- |
+| All RPC calls            | Service: `rippled`, Operation: `rpc.request`               |
+| Specific RPC command     | Operation: `rpc.command.server_info` (or any command name) |
+| Slow RPC calls           | Operation: `rpc.command.*`, Min Duration: `100ms`          |
+| Failed RPC calls         | Tag: `xrpl.rpc.status=error`                               |
+| Specific transaction     | Tag: `xrpl.tx.hash=<hex_hash>`                             |
+| Local transactions only  | Tag: `xrpl.tx.local=true`                                  |
+| Consensus rounds         | Operation: `consensus.accept`                              |
+| Rounds by mode           | Tag: `xrpl.consensus.mode=proposing`                       |
+| Specific ledger          | Tag: `xrpl.ledger.seq=12345`                               |
+| Peer proposals (trusted) | Tag: `xrpl.peer.proposal.trusted=true`                     |
+
+### Trace Structure
+
+A typical RPC trace shows the span hierarchy:
+
+```
+rpc.request (ServerHandler)
+  └── rpc.process (ServerHandler)
+       └── rpc.command.server_info (RPCHandler)
+```
+
+A consensus round produces independent spans (not parent-child):
+
+```
+consensus.ledger_close        (close event)
+consensus.proposal.send       (broadcast proposal)
+ledger.build                  (build new ledger)
+  └── tx.apply                (apply transaction set)
+consensus.accept              (accept result)
+consensus.validation.send     (send validation)
+ledger.validate               (promote to validated)
+ledger.store                  (persist to DB)
+```
+
+---
+
+## 5. Prometheus Query Examples
+
+> **See also**: [05-configuration-reference.md](./05-configuration-reference.md) §5.8.7 for correlating Prometheus system metrics with trace-derived metrics.
+
+### Span-Derived Metrics
+
+```promql
+# RPC request rate by command (last 5 minutes)
+sum by (xrpl_rpc_command) (rate(traces_span_metrics_calls_total{span_name=~"rpc.command.*"}[5m]))
+
+# RPC p95 latency by command
+histogram_quantile(0.95, sum by (le, xrpl_rpc_command) (rate(traces_span_metrics_duration_milliseconds_bucket{span_name=~"rpc.command.*"}[5m])))
+
+# Consensus round duration p95
+histogram_quantile(0.95, sum by (le) (rate(traces_span_metrics_duration_milliseconds_bucket{span_name="consensus.accept"}[5m])))
+
+# Transaction processing rate (local vs relay)
+sum by (xrpl_tx_local) (rate(traces_span_metrics_calls_total{span_name="tx.process"}[5m]))
+
+# Trusted vs untrusted proposal rate
+sum by (xrpl_peer_proposal_trusted) (rate(traces_span_metrics_calls_total{span_name="peer.proposal.receive"}[5m]))
+```
+
+### StatsD Metrics
+
+```promql
+# Validated ledger age (should be < 10s)
+rippled_LedgerMaster_Validated_Ledger_Age
+
+# Active peer count
+rippled_Peer_Finder_Active_Inbound_Peers + rippled_Peer_Finder_Active_Outbound_Peers
+
+# RPC response time p95
+histogram_quantile(0.95, rippled_rpc_time_bucket)
+
+# Total network bytes in (rate)
+rate(rippled_total_Bytes_In[5m])
+
+# Operating mode (should be "Full" after startup)
+rippled_State_Accounting_Full_duration
+```
+
+---
+
+## 5a. Log-Trace Correlation (Phase 8)
+
+> **Plan details**: [06-implementation-phases.md §6.8.1](./06-implementation-phases.md) — motivation, architecture, Mermaid diagrams
+> **Task breakdown**: [Phase8_taskList.md](./Phase8_taskList.md) — per-task implementation details
+
+Phase 8 injects OTel trace context into rippled's `Logs::format()` output, enabling log-trace correlation. When a log line is emitted within an active OTel span, the trace and span identifiers are automatically appended after the severity field:
+
+### Log Format
+
+```
+<timestamp> <partition>:<severity> trace_id=<32hex> span_id=<16hex> <message>
+```
+
+Example:
+
+```
+2024-01-15T10:30:45.123Z LedgerMaster:NFO trace_id=abc123def456789012345678abcdef01 span_id=0123456789abcdef Validated ledger 42
+```
+
+- **`trace_id=<hex32>`** — 32-character lowercase hex trace identifier. Links to the distributed trace in Tempo/Jaeger.
+- **`span_id=<hex16>`** — 16-character lowercase hex span identifier. Identifies the specific span within the trace.
+- **Only present** when the log is emitted within an active OTel span. Log lines outside of traced code paths have no trace context fields.
+
+### Implementation
+
+The trace context injection is implemented in `Logs::format()` (`src/libxrpl/basics/Log.cpp`), guarded by `#ifdef XRPL_ENABLE_TELEMETRY`. It reads the current span from OTel's thread-local runtime context via `opentelemetry::trace::GetSpan()` and `opentelemetry::context::RuntimeContext::GetCurrent()`. Both calls are lock-free thread-local reads measured at <10ns per call.
+
+### Log Ingestion Pipeline
+
+```
+rippled debug.log -> OTel Collector filelog receiver -> regex_parser -> Loki exporter -> Grafana Loki
+```
+
+The OTel Collector's `filelog` receiver tails `debug.log` files and uses a `regex_parser` operator to extract structured fields:
+
+| Field       | Type     | Description                                              |
+| ----------- | -------- | -------------------------------------------------------- |
+| `timestamp` | datetime | Log timestamp                                            |
+| `partition` | string   | Log partition (e.g., `LedgerMaster`, `PeerImp`)          |
+| `severity`  | string   | Severity code (`TRC`, `DBG`, `NFO`, `WRN`, `ERR`, `FTL`) |
+| `trace_id`  | string   | 32-hex trace identifier (optional)                       |
+| `span_id`   | string   | 16-hex span identifier (optional)                        |
+| `message`   | string   | Log message body                                         |
+
+### Grafana Correlation
+
+Bidirectional linking between logs and traces is configured via Grafana datasource provisioning:
+
+- **Tempo -> Loki** (`tracesToLogs`): Clicking "Logs for this trace" on a Tempo trace view filters Loki logs by `trace_id`, showing all log lines from that trace.
+- **Loki -> Tempo** (`derivedFields`): A regex-based derived field on the Loki datasource extracts `trace_id` from log lines and renders it as a clickable link to the corresponding trace in Tempo.
+
+### Loki Backend
+
+Grafana Loki (v2.9.0) serves as the log storage backend. It receives log entries from the OTel Collector's `loki` exporter via the push API at `http://loki:3100/loki/api/v1/push`.
+
+### LogQL Query Examples
+
+```logql
+# Find all logs for a specific trace
+{job="rippled"} |= "trace_id=abc123def456789012345678abcdef01"
+
+# Error logs with trace context
+{job="rippled"} |= "ERR" |= "trace_id="
+
+# Logs from a specific partition with trace context
+{job="rippled"} |= "LedgerMaster" | regexp `trace_id=(?P<trace_id>[a-f0-9]+)` | trace_id != ""
+
+# Count traced log lines over time
+count_over_time({job="rippled"} |= "trace_id=" [5m])
+```
+
+---
+
+## 6. Known Issues
+
+| Issue                                                              | Impact                                           | Status                                                               |
+| ------------------------------------------------------------------ | ------------------------------------------------ | -------------------------------------------------------------------- |
+| `warn` and `drop` metrics use non-standard StatsD `\|m` meter type | Metrics silently dropped by OTel StatsD receiver | Phase 6 Task 6.1 — needs `\|m` → `\|c` change in StatsDCollector.cpp |
+| `rippled_job_count` may not emit in standalone mode                | Missing from Prometheus in some test configs     | Requires active job queue activity                                   |
+| `rippled_rpc_requests` depends on `[insight]` config               | Zero series if StatsD not configured             | Requires `[insight] server=statsd` in xrpld.cfg                      |
+| Peer tracing disabled by default                                   | No `peer.*` spans unless `trace_peer=1`          | Intentional — high volume on mainnet                                 |
+
+---
+
+## 7. Privacy and Data Collection
+
+The telemetry system is designed with privacy in mind:
+
+- **No private keys** are ever included in spans or metrics
+- **No account balances** or financial data is traced
+- **Transaction hashes** are included (public on-ledger data) but not transaction contents
+- **Peer IDs** are internal identifiers, not IP addresses
+- **All telemetry is opt-in** — disabled by default at build time (`-Dtelemetry=OFF`)
+- **Sampling** reduces data volume — `sampling_ratio=0.01` recommended for production
+- **Data stays local** — the default stack sends data to `localhost` only
+
+---
+
+## 8. Configuration Quick Reference
+
+> **Full reference**: [05-configuration-reference.md](./05-configuration-reference.md) §5.1 for all `[telemetry]` options with defaults, the config parser implementation, and collector YAML configurations (dev and production).
+
+### Minimal Setup (development)
+
+```ini
+[telemetry]
+enabled=1
+
+[insight]
+server=statsd
+address=127.0.0.1:8125
+prefix=rippled
+```
+
+### Production Setup
+
+```ini
+[telemetry]
+enabled=1
+endpoint=http://otel-collector:4318/v1/traces
+sampling_ratio=0.01
+trace_peer=0
+batch_size=1024
+max_queue_size=4096
+
+[insight]
+server=statsd
+address=otel-collector:8125
+prefix=rippled
+```
+
+### Trace Category Toggle
+
+| Config Key           | Default | Controls                     |
+| -------------------- | ------- | ---------------------------- |
+| `trace_rpc`          | `1`     | `rpc.*` spans                |
+| `trace_transactions` | `1`     | `tx.*` spans                 |
+| `trace_consensus`    | `1`     | `consensus.*` spans          |
+| `trace_ledger`       | `1`     | `ledger.*` spans             |
+| `trace_peer`         | `0`     | `peer.*` spans (high volume) |
--- a/OpenTelemetryPlan/OpenTelemetryPlan.md
+++ b/OpenTelemetryPlan/OpenTelemetryPlan.md
@@ -0,0 +1,245 @@
+# [OpenTelemetry](00-tracing-fundamentals.md) Distributed Tracing Implementation Plan for rippled (xrpld)
+
+## Executive Summary
+
+> **OTLP** = OpenTelemetry Protocol
+
+This document provides a comprehensive implementation plan for integrating OpenTelemetry distributed tracing into the rippled XRP Ledger node software. The plan addresses the unique challenges of a decentralized peer-to-peer system where trace context must propagate across network boundaries between independent nodes.
+
+### Key Benefits
+
+- **End-to-end transaction visibility**: Track transactions from submission through consensus to ledger inclusion
+- **Consensus round analysis**: Understand timing and behavior of consensus phases across validators
+- **RPC performance insights**: Identify slow handlers and optimize response times
+- **Network topology understanding**: Visualize message propagation patterns between peers
+- **Incident debugging**: Correlate events across distributed nodes during issues
+
+### Estimated Performance Overhead
+
+| Metric        | Overhead   | Notes                               |
+| ------------- | ---------- | ----------------------------------- |
+| CPU           | 1-3%       | Span creation and attribute setting |
+| Memory        | 2-5 MB     | Batch buffer for pending spans      |
+| Network       | 10-50 KB/s | Compressed OTLP export to collector |
+| Latency (p99) | <2%        | With proper sampling configuration  |
+
+---
+
+## Document Structure
+
+This implementation plan is organized into modular documents for easier navigation:
+
+<div align="center">
+
+```mermaid
+flowchart TB
+    overview["📋 OpenTelemetryPlan.md<br/>(This Document)"]
+
+    subgraph fundamentals["Fundamentals"]
+        fund["00-tracing-fundamentals.md"]
+    end
+
+    subgraph analysis["Analysis & Design"]
+        arch["01-architecture-analysis.md"]
+        design["02-design-decisions.md"]
+    end
+
+    subgraph impl["Implementation"]
+        strategy["03-implementation-strategy.md"]
+        code["04-code-samples.md"]
+        config["05-configuration-reference.md"]
+    end
+
+    subgraph deploy["Deployment & Planning"]
+        phases["06-implementation-phases.md"]
+        backends["07-observability-backends.md"]
+        appendix["08-appendix.md"]
+        poc["POC_taskList.md"]
+        dataref["09-data-collection-reference.md"]
+    end
+
+    overview --> fundamentals
+    overview --> analysis
+    overview --> impl
+    overview --> deploy
+
+    fund --> arch
+    arch --> design
+    design --> strategy
+    strategy --> code
+    code --> config
+    config --> phases
+    phases --> backends
+    backends --> appendix
+    phases --> poc
+    appendix --> dataref
+
+    style overview fill:#1b5e20,stroke:#0d3d14,color:#fff,stroke-width:2px
+    style fundamentals fill:#00695c,stroke:#004d40,color:#fff
+    style fund fill:#00695c,stroke:#004d40,color:#fff
+    style analysis fill:#0d47a1,stroke:#082f6a,color:#fff
+    style impl fill:#bf360c,stroke:#8c2809,color:#fff
+    style deploy fill:#4a148c,stroke:#2e0d57,color:#fff
+    style arch fill:#0d47a1,stroke:#082f6a,color:#fff
+    style design fill:#0d47a1,stroke:#082f6a,color:#fff
+    style strategy fill:#bf360c,stroke:#8c2809,color:#fff
+    style code fill:#bf360c,stroke:#8c2809,color:#fff
+    style config fill:#bf360c,stroke:#8c2809,color:#fff
+    style phases fill:#4a148c,stroke:#2e0d57,color:#fff
+    style backends fill:#4a148c,stroke:#2e0d57,color:#fff
+    style appendix fill:#4a148c,stroke:#2e0d57,color:#fff
+    style poc fill:#4a148c,stroke:#2e0d57,color:#fff
+    style dataref fill:#4a148c,stroke:#2e0d57,color:#fff
+```
+
+</div>
+
+---
+
+## Table of Contents
+
+| Section | Document                                                       | Description                                                            |
+| ------- | -------------------------------------------------------------- | ---------------------------------------------------------------------- |
+| **0**   | [Tracing Fundamentals](./00-tracing-fundamentals.md)           | Distributed tracing concepts, span relationships, context propagation  |
+| **1**   | [Architecture Analysis](./01-architecture-analysis.md)         | rippled component analysis, trace points, instrumentation priorities   |
+| **2**   | [Design Decisions](./02-design-decisions.md)                   | SDK selection, exporters, span naming, attributes, context propagation |
+| **3**   | [Implementation Strategy](./03-implementation-strategy.md)     | Directory structure, key principles, performance optimization          |
+| **4**   | [Code Samples](./04-code-samples.md)                           | C++ implementation examples for core infrastructure and key modules    |
+| **5**   | [Configuration Reference](./05-configuration-reference.md)     | rippled config, CMake integration, Collector configurations            |
+| **6**   | [Implementation Phases](./06-implementation-phases.md)         | 5-phase timeline, tasks, risks, success metrics                        |
+| **7**   | [Observability Backends](./07-observability-backends.md)       | Backend selection guide and production architecture                    |
+| **8**   | [Appendix](./08-appendix.md)                                   | Glossary, references, version history                                  |
+| **9**   | [Data Collection Reference](./09-data-collection-reference.md) | Complete inventory of spans, attributes, metrics, and dashboards       |
+| **POC** | [POC Task List](./POC_taskList.md)                             | Proof of concept tasks for RPC tracing end-to-end demo                 |
+
+---
+
+## 0. Tracing Fundamentals
+
+This document introduces distributed tracing concepts for readers unfamiliar with the domain. It covers what traces and spans are, how parent-child and follows-from relationships model causality, how context propagates across service boundaries, and how sampling controls data volume. It also maps these concepts to rippled-specific scenarios like transaction relay and consensus.
+
+➡️ **[Read Tracing Fundamentals](./00-tracing-fundamentals.md)**
+
+---
+
+## 1. Architecture Analysis
+
+> **WS** = WebSocket | **TxQ** = Transaction Queue
+
+The rippled node consists of several key components that require instrumentation for comprehensive distributed tracing. The main areas include the RPC server (HTTP/WebSocket), Overlay P2P network, Consensus mechanism (RCLConsensus), JobQueue for async task execution, PathFinding, Transaction Queue (TxQ), fee escalation (LoadManager), ledger acquisition, validator management, and existing observability infrastructure (PerfLog, Insight/StatsD, Journal logging).
+
+Key trace points span across transaction submission via RPC, peer-to-peer message propagation, consensus round execution, ledger building, path computation, transaction queue behavior, fee escalation, and validator health. The implementation prioritizes high-value, low-risk components first: RPC handlers provide immediate value with minimal risk, while consensus tracing requires careful implementation to avoid timing impacts.
+
+➡️ **[Read full Architecture Analysis](./01-architecture-analysis.md)**
+
+---
+
+## 2. Design Decisions
+
+> **OTLP** = OpenTelemetry Protocol | **CNCF** = Cloud Native Computing Foundation
+
+The OpenTelemetry C++ SDK is selected for its CNCF backing, active development, and native performance characteristics. Traces are exported via OTLP/gRPC (primary) or OTLP/HTTP (fallback) to an OpenTelemetry Collector, which provides flexible routing and sampling.
+
+Span naming follows a hierarchical `<component>.<operation>` convention (e.g., `rpc.submit`, `tx.relay`, `consensus.round`). Context propagation uses W3C Trace Context headers for HTTP and embedded Protocol Buffer fields for P2P messages. The implementation coexists with existing PerfLog and Insight observability systems through correlation IDs.
+
+**Data Collection & Privacy**: Telemetry collects only operational metadata (timing, counts, hashes) — never sensitive content (private keys, balances, amounts, raw payloads). Privacy protection includes account hashing, configurable redaction, sampling, and collector-level filtering. Node operators retain full control over telemetry configuration.
+
+➡️ **[Read full Design Decisions](./02-design-decisions.md)**
+
+---
+
+## 3. Implementation Strategy
+
+The telemetry code is organized under `include/xrpl/telemetry/` for headers and `src/libxrpl/telemetry/` for implementation. Key principles include RAII-based span management via `SpanGuard`, conditional compilation with `XRPL_ENABLE_TELEMETRY`, and minimal runtime overhead through batch processing and efficient sampling.
+
+Performance optimization strategies include probabilistic head sampling (10% default), tail-based sampling at the collector for errors and slow traces, batch export to reduce network overhead, and conditional instrumentation that compiles to no-ops when disabled.
+
+➡️ **[Read full Implementation Strategy](./03-implementation-strategy.md)**
+
+---
+
+## 4. Code Samples
+
+C++ implementation examples are provided for the core telemetry infrastructure and key modules:
+
+- `Telemetry.h` - Core interface for tracer access and span creation
+- `SpanGuard.h` - RAII wrapper for automatic span lifecycle management
+- `TracingInstrumentation.h` - Macros for conditional instrumentation
+- Protocol Buffer extensions for trace context propagation
+- Module-specific instrumentation (RPC, Consensus, P2P, JobQueue)
+- Remaining modules (PathFinding, TxQ, Validator, etc.) follow the same patterns
+
+➡️ **[View all Code Samples](./04-code-samples.md)**
+
+---
+
+## 5. Configuration Reference
+
+> **OTLP** = OpenTelemetry Protocol | **APM** = Application Performance Monitoring
+
+Configuration is handled through the `[telemetry]` section in `xrpld.cfg` with options for enabling/disabling, exporter selection, endpoint configuration, sampling ratios, and component-level filtering. CMake integration includes a `XRPL_ENABLE_TELEMETRY` option for compile-time control.
+
+OpenTelemetry Collector configurations are provided for development and production (with tail-based sampling, Tempo, and Elastic APM). Docker Compose examples enable quick local development environment setup.
+
+➡️ **[View full Configuration Reference](./05-configuration-reference.md)**
+
+---
+
+## 6. Implementation Phases
+
+The implementation spans 13 weeks across 8 phases:
+
+| Phase | Duration    | Focus                 | Key Deliverables                                            |
+| ----- | ----------- | --------------------- | ----------------------------------------------------------- |
+| 1     | Weeks 1-2   | Core Infrastructure   | SDK integration, Telemetry interface, Configuration         |
+| 2     | Weeks 3-4   | RPC Tracing           | HTTP context extraction, Handler instrumentation            |
+| 3     | Weeks 5-6   | Transaction Tracing   | Protocol Buffer context, Relay propagation                  |
+| 4     | Weeks 7-8   | Consensus Tracing     | Round spans, Proposal/validation tracing                    |
+| 5     | Week 9      | Documentation         | Runbook, Dashboards, Training                               |
+| 6     | Week 10     | StatsD Metrics Bridge | OTel Collector StatsD receiver, 3 Grafana dashboards        |
+| 7     | Weeks 11-12 | Native OTel Metrics   | OTelCollector impl, OTLP metrics export, StatsD deprecation |
+| 8     | Week 13     | Log-Trace Correlation | trace_id in logs, Loki ingestion, Tempo↔Loki linking        |
+
+**Total Effort**: 65.1 developer-days with 2 developers
+
+➡️ **[View full Implementation Phases](./06-implementation-phases.md)**
+
+---
+
+## 7. Observability Backends
+
+> **APM** = Application Performance Monitoring | **GCS** = Google Cloud Storage
+
+Grafana Tempo is recommended for all environments due to its cost-effectiveness and Grafana integration, while Elastic APM is ideal for organizations with existing Elastic infrastructure.
+
+The recommended production architecture uses a gateway collector pattern with regional collectors performing tail-based sampling, routing traces to multiple backends (Tempo for primary storage, Elastic for log correlation, S3/GCS for long-term archive).
+
+➡️ **[View Observability Backend Recommendations](./07-observability-backends.md)**
+
+---
+
+## 8. Appendix
+
+The appendix contains a glossary of OpenTelemetry and rippled-specific terms, references to external documentation and specifications, version history for this implementation plan, and a complete document index.
+
+➡️ **[View Appendix](./08-appendix.md)**
+
+---
+
+## 9. Data Collection Reference
+
+A single-source-of-truth reference documenting every piece of telemetry data collected by rippled. Covers all 16 OpenTelemetry spans with their 22 attributes, all StatsD metrics (gauges, counters, histograms, overlay traffic), SpanMetrics-derived Prometheus metrics, and all 8 Grafana dashboards. Includes Jaeger search guides and Prometheus query examples.
+
+➡️ **[View Data Collection Reference](./09-data-collection-reference.md)**
+
+---
+
+## POC Task List
+
+A step-by-step task list for building a minimal end-to-end proof of concept that demonstrates distributed tracing in rippled. The POC scope is limited to RPC tracing — showing request traces flowing from rippled through an OpenTelemetry Collector into Tempo, viewable in Grafana.
+
+➡️ **[View POC Task List](./POC_taskList.md)**
+
+---
+
+_This document provides a comprehensive implementation plan for integrating OpenTelemetry distributed tracing into the rippled XRP Ledger node software. For detailed information on any section, follow the links to the corresponding sub-documents._
--- a/OpenTelemetryPlan/POC_taskList.md
+++ b/OpenTelemetryPlan/POC_taskList.md
@@ -0,0 +1,620 @@
+# OpenTelemetry POC Task List
+
+> **Goal**: Build a minimal end-to-end proof of concept that demonstrates distributed tracing in rippled. A successful POC will show RPC request traces flowing from rippled through an OTel Collector into Tempo, viewable in Grafana.
+>
+> **Scope**: RPC tracing only (highest value, lowest risk per the [CRAWL phase](./06-implementation-phases.md#6102-quick-wins-immediate-value) in the implementation phases). No cross-node P2P context propagation or consensus tracing in the POC.
+
+### Related Plan Documents
+
+| Document                                                         | Relevance to POC                                                                                                                                          |
+| ---------------------------------------------------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------- |
+| [00-tracing-fundamentals.md](./00-tracing-fundamentals.md)       | Core concepts: traces, spans, context propagation, sampling                                                                                               |
+| [01-architecture-analysis.md](./01-architecture-analysis.md)     | RPC request flow (§1.5), key trace points (§1.6), instrumentation priority (§1.7)                                                                         |
+| [02-design-decisions.md](./02-design-decisions.md)               | SDK selection (§2.1), exporter config (§2.2), span naming (§2.3), attribute schema (§2.4), coexistence with PerfLog/Insight (§2.6)                        |
+| [03-implementation-strategy.md](./03-implementation-strategy.md) | Directory structure (§3.1), key principles (§3.2), performance overhead (§3.3-3.6), conditional compilation (§3.7.3), code intrusiveness (§3.9)           |
+| [04-code-samples.md](./04-code-samples.md)                       | Telemetry interface (§4.1), SpanGuard (§4.2), macros (§4.3), RPC instrumentation (§4.5.3)                                                                 |
+| [05-configuration-reference.md](./05-configuration-reference.md) | rippled config (§5.1), config parser (§5.2), Application integration (§5.3), CMake (§5.4), Collector config (§5.5), Docker Compose (§5.6), Grafana (§5.8) |
+| [06-implementation-phases.md](./06-implementation-phases.md)     | Phase 1 core tasks (§6.2), Phase 2 RPC tasks (§6.3), quick wins (§6.10), definition of done (§6.11)                                                       |
+| [07-observability-backends.md](./07-observability-backends.md)   | Tempo dev setup (§7.1), Grafana dashboards (§7.6), alert rules (§7.6.3)                                                                                   |
+
+---
+
+## Task 0: Docker Observability Stack Setup
+
+> **OTLP** = OpenTelemetry Protocol
+
+**Objective**: Stand up the backend infrastructure to receive, store, and display traces.
+
+**What to do**:
+
+- Create `docker/telemetry/docker-compose.yml` in the repo with three services:
+  1. **OpenTelemetry Collector** (`otel/opentelemetry-collector-contrib:0.92.0`)
+     - Expose ports `4317` (OTLP gRPC) and `4318` (OTLP HTTP)
+     - Expose port `13133` (health check)
+     - Mount a config file `docker/telemetry/otel-collector-config.yaml`
+  2. **Tempo** (`grafana/tempo:2.6.1`)
+     - Expose port `3200` (HTTP API) and `4317` (OTLP gRPC, internal)
+  3. **Grafana** (`grafana/grafana:latest`) — optional but useful
+     - Expose port `3000`
+     - Enable anonymous admin access for local dev (`GF_AUTH_ANONYMOUS_ENABLED=true`, `GF_AUTH_ANONYMOUS_ORG_ROLE=Admin`)
+     - Provision Tempo as a data source via `docker/telemetry/grafana/provisioning/datasources/tempo.yaml`
+
+- Create `docker/telemetry/otel-collector-config.yaml`:
+
+  ```yaml
+  receivers:
+    otlp:
+      protocols:
+        grpc:
+          endpoint: 0.0.0.0:4317
+        http:
+          endpoint: 0.0.0.0:4318
+
+  processors:
+    batch:
+      timeout: 1s
+      send_batch_size: 100
+
+  exporters:
+    logging:
+      verbosity: detailed
+    otlp/tempo:
+      endpoint: tempo:4317
+      tls:
+        insecure: true
+
+  service:
+    pipelines:
+      traces:
+        receivers: [otlp]
+        processors: [batch]
+        exporters: [logging, otlp/tempo]
+  ```
+
+- Create Grafana Tempo datasource provisioning file at `docker/telemetry/grafana/provisioning/datasources/tempo.yaml`:
+  ```yaml
+  apiVersion: 1
+  datasources:
+    - name: Tempo
+      type: tempo
+      access: proxy
+      url: http://tempo:3200
+  ```
+
+**Verification**: Run `docker compose -f docker/telemetry/docker-compose.yml up -d`, then:
+
+- `curl http://localhost:13133` returns healthy (Collector)
+- `http://localhost:3000` opens Grafana (Tempo datasource available, no traces yet)
+
+**Reference**:
+
+- [05-configuration-reference.md §5.5](./05-configuration-reference.md) — Collector config (dev YAML with Tempo exporter)
+- [05-configuration-reference.md §5.6](./05-configuration-reference.md) — Docker Compose development environment
+- [07-observability-backends.md §7.1](./07-observability-backends.md) — Tempo quick start and backend selection
+- [05-configuration-reference.md §5.8](./05-configuration-reference.md) — Grafana datasource provisioning and dashboards
+
+---
+
+## Task 1: Add OpenTelemetry C++ SDK Dependency
+
+**Objective**: Make `opentelemetry-cpp` available to the build system.
+
+**What to do**:
+
+- Edit `conanfile.py` to add `opentelemetry-cpp` as an **optional** dependency. The gRPC otel plugin flag (`"grpc/*:otel_plugin": False`) in the existing conanfile may need to remain false — we pull the OTel SDK separately.
+  - Add a Conan option: `with_telemetry = [True, False]` defaulting to `False`
+  - When `with_telemetry` is `True`, add `opentelemetry-cpp` to `self.requires()`
+  - Required OTel Conan components: `opentelemetry-cpp` (which bundles api, sdk, and exporters). If the package isn't in Conan Center, consider using `FetchContent` in CMake or building from source as a fallback.
+- Edit `CMakeLists.txt`:
+  - Add option: `option(XRPL_ENABLE_TELEMETRY "Enable OpenTelemetry tracing" OFF)`
+  - When ON, `find_package(opentelemetry-cpp CONFIG REQUIRED)` and add compile definition `XRPL_ENABLE_TELEMETRY`
+  - When OFF, do nothing (zero build impact)
+- Verify the build succeeds with `-DXRPL_ENABLE_TELEMETRY=OFF` (no regressions) and with `-DXRPL_ENABLE_TELEMETRY=ON` (SDK links successfully).
+
+**Key files**:
+
+- `conanfile.py`
+- `CMakeLists.txt`
+
+**Reference**:
+
+- [05-configuration-reference.md §5.4](./05-configuration-reference.md) — CMake integration, `FindOpenTelemetry.cmake`, `XRPL_ENABLE_TELEMETRY` option
+- [03-implementation-strategy.md §3.2](./03-implementation-strategy.md) — Key principle: zero-cost when disabled via compile-time flags
+- [02-design-decisions.md §2.1](./02-design-decisions.md) — SDK selection rationale and required OTel components
+
+---
+
+## Task 2: Create Core Telemetry Interface and NullTelemetry
+
+**Objective**: Define the `Telemetry` abstract interface and a no-op implementation so the rest of the codebase can reference telemetry without hard-depending on the OTel SDK.
+
+**What to do**:
+
+- Create `include/xrpl/telemetry/Telemetry.h`:
+  - Define `namespace xrpl::telemetry`
+  - Define `struct Telemetry::Setup` holding: `enabled`, `exporterEndpoint`, `samplingRatio`, `serviceName`, `serviceVersion`, `serviceInstanceId`, `traceRpc`, `traceTransactions`, `traceConsensus`, `tracePeer`
+  - Define abstract `class Telemetry` with:
+    - `virtual void start() = 0;`
+    - `virtual void stop() = 0;`
+    - `virtual bool isEnabled() const = 0;`
+    - `virtual nostd::shared_ptr<Tracer> getTracer(string_view name = "rippled") = 0;`
+    - `virtual nostd::shared_ptr<Span> startSpan(string_view name, SpanKind kind = kInternal) = 0;`
+    - `virtual nostd::shared_ptr<Span> startSpan(string_view name, Context const& parentContext, SpanKind kind = kInternal) = 0;`
+    - `virtual bool shouldTraceRpc() const = 0;`
+    - `virtual bool shouldTraceTransactions() const = 0;`
+    - `virtual bool shouldTraceConsensus() const = 0;`
+  - Factory: `std::unique_ptr<Telemetry> make_Telemetry(Setup const&, beast::Journal);`
+  - Config parser: `Telemetry::Setup setup_Telemetry(Section const&, std::string const& nodePublicKey, std::string const& version);`
+
+- Create `include/xrpl/telemetry/SpanGuard.h`:
+  - RAII guard that takes an `nostd::shared_ptr<Span>`, creates a `Scope`, and calls `span->End()` in destructor.
+  - Convenience: `setAttribute()`, `setOk()`, `setStatus()`, `addEvent()`, `recordException()`, `context()`
+  - See [04-code-samples.md](./04-code-samples.md) §4.2 for the full implementation.
+
+- Create `src/libxrpl/telemetry/NullTelemetry.cpp`:
+  - Implements `Telemetry` with all no-ops.
+  - `isEnabled()` returns `false`, `startSpan()` returns a noop span.
+  - This is used when `XRPL_ENABLE_TELEMETRY` is OFF or `enabled=0` in config.
+
+- Guard all OTel SDK headers behind `#ifdef XRPL_ENABLE_TELEMETRY`. The `NullTelemetry` implementation should compile without the OTel SDK present.
+
+**Key new files**:
+
+- `include/xrpl/telemetry/Telemetry.h`
+- `include/xrpl/telemetry/SpanGuard.h`
+- `src/libxrpl/telemetry/NullTelemetry.cpp`
+
+**Reference**:
+
+- [04-code-samples.md §4.1](./04-code-samples.md) — Full `Telemetry` interface with `Setup` struct, lifecycle, tracer access, span creation, and component filtering methods
+- [04-code-samples.md §4.2](./04-code-samples.md) — Full `SpanGuard` RAII implementation and `NullSpanGuard` no-op class
+- [03-implementation-strategy.md §3.1](./03-implementation-strategy.md) — Directory structure: `include/xrpl/telemetry/` for headers, `src/libxrpl/telemetry/` for implementation
+- [03-implementation-strategy.md §3.7.3](./03-implementation-strategy.md) — Conditional instrumentation and zero-cost compile-time disabled pattern
+
+---
+
+## Task 3: Implement OTel-Backed Telemetry
+
+> **OTLP** = OpenTelemetry Protocol
+
+**Objective**: Implement the real `Telemetry` class that initializes the OTel SDK, configures the OTLP exporter and batch processor, and creates tracers/spans.
+
+**What to do**:
+
+- Create `src/libxrpl/telemetry/Telemetry.cpp` (compiled only when `XRPL_ENABLE_TELEMETRY=ON`):
+  - `class TelemetryImpl : public Telemetry` that:
+    - In `start()`: creates a `TracerProvider` with:
+      - Resource attributes: `service.name`, `service.version`, `service.instance.id`
+      - An `OtlpHttpExporter` pointed at `setup.exporterEndpoint` (default `localhost:4318`)
+      - A `BatchSpanProcessor` with configurable batch size and delay
+      - A `TraceIdRatioBasedSampler` using `setup.samplingRatio`
+    - Sets the global `TracerProvider`
+    - In `stop()`: calls `ForceFlush()` then shuts down the provider
+    - In `startSpan()`: delegates to `getTracer()->StartSpan(name, ...)`
+    - `shouldTraceRpc()` etc. read from `Setup` fields
+
+- Create `src/libxrpl/telemetry/TelemetryConfig.cpp`:
+  - `setup_Telemetry()` parses the `[telemetry]` config section from `xrpld.cfg`
+  - Maps config keys: `enabled`, `exporter`, `endpoint`, `sampling_ratio`, `trace_rpc`, `trace_transactions`, `trace_consensus`, `trace_peer`
+
+- Wire `make_Telemetry()` factory:
+  - If `setup.enabled` is true AND `XRPL_ENABLE_TELEMETRY` is defined: return `TelemetryImpl`
+  - Otherwise: return `NullTelemetry`
+
+- Add telemetry source files to CMake. When `XRPL_ENABLE_TELEMETRY=ON`, compile `Telemetry.cpp` and `TelemetryConfig.cpp` and link against `opentelemetry-cpp::api`, `opentelemetry-cpp::sdk`, `opentelemetry-cpp::otlp_grpc_exporter`. When OFF, compile only `NullTelemetry.cpp`.
+
+**Key new files**:
+
+- `src/libxrpl/telemetry/Telemetry.cpp`
+- `src/libxrpl/telemetry/TelemetryConfig.cpp`
+
+**Key modified files**:
+
+- `CMakeLists.txt` (add telemetry library target)
+
+**Reference**:
+
+- [04-code-samples.md §4.1](./04-code-samples.md) — `Telemetry` interface that `TelemetryImpl` must implement
+- [05-configuration-reference.md §5.2](./05-configuration-reference.md) — `setup_Telemetry()` config parser implementation
+- [02-design-decisions.md §2.2](./02-design-decisions.md) — OTLP/gRPC exporter config (endpoint, TLS options)
+- [02-design-decisions.md §2.4.1](./02-design-decisions.md) — Resource attributes: `service.name`, `service.version`, `service.instance.id`, `xrpl.network.id`
+- [03-implementation-strategy.md §3.4](./03-implementation-strategy.md) — Per-operation CPU costs and overhead budget for span creation
+- [03-implementation-strategy.md §3.5](./03-implementation-strategy.md) — Memory overhead: static (~456 KB) and dynamic (~1.2 MB) budgets
+
+---
+
+## Task 4: Integrate Telemetry into Application Lifecycle
+
+**Objective**: Wire the `Telemetry` object into `Application` so all components can access it.
+
+**What to do**:
+
+- Edit `src/xrpld/app/main/Application.h`:
+  - Forward-declare `namespace xrpl::telemetry { class Telemetry; }`
+  - Add pure virtual method: `virtual telemetry::Telemetry& getTelemetry() = 0;`
+
+- Edit `src/xrpld/app/main/Application.cpp` (the `ApplicationImp` class):
+  - Add member: `std::unique_ptr<telemetry::Telemetry> telemetry_;`
+  - In the constructor, after config is loaded and node identity is known:
+    ```cpp
+    auto const telemetrySection = config_->section("telemetry");
+    auto telemetrySetup = telemetry::setup_Telemetry(
+        telemetrySection,
+        toBase58(TokenType::NodePublic, nodeIdentity_.publicKey()),
+        BuildInfo::getVersionString());
+    telemetry_ = telemetry::make_Telemetry(telemetrySetup, logs_->journal("Telemetry"));
+    ```
+  - In `start()`: call `telemetry_->start()` early
+  - In `stop()` or destructor: call `telemetry_->stop()` late (to flush pending spans)
+  - Implement `getTelemetry()` override: return `*telemetry_`
+
+- Add `[telemetry]` section to the example config `cfg/rippled-example.cfg`:
+  ```ini
+  # [telemetry]
+  # enabled=1
+  # endpoint=localhost:4317
+  # sampling_ratio=1.0
+  # trace_rpc=1
+  ```
+
+**Key modified files**:
+
+- `src/xrpld/app/main/Application.h`
+- `src/xrpld/app/main/Application.cpp`
+- `cfg/rippled-example.cfg` (or equivalent example config)
+
+**Reference**:
+
+- [05-configuration-reference.md §5.3](./05-configuration-reference.md) — `ApplicationImp` changes: member declaration, constructor init, `start()`/`stop()` wiring, `getTelemetry()` override
+- [05-configuration-reference.md §5.1](./05-configuration-reference.md) — `[telemetry]` config section format and all option defaults
+- [03-implementation-strategy.md §3.9.2](./03-implementation-strategy.md) — File impact assessment: `Application.cpp` ~15 lines added, ~3 changed (Low risk)
+
+---
+
+## Task 5: Create Instrumentation Macros
+
+**Objective**: Define convenience macros that make instrumenting code one-liners, and that compile to zero-cost no-ops when telemetry is disabled.
+
+**What to do**:
+
+- Create `src/xrpld/telemetry/TracingInstrumentation.h`:
+  - When `XRPL_ENABLE_TELEMETRY` is defined:
+
+    ```cpp
+    #define XRPL_TRACE_SPAN(telemetry, name) \
+        auto _xrpl_span_ = (telemetry).startSpan(name); \
+        ::xrpl::telemetry::SpanGuard _xrpl_guard_(_xrpl_span_)
+
+    #define XRPL_TRACE_RPC(telemetry, name) \
+        std::optional<::xrpl::telemetry::SpanGuard> _xrpl_guard_; \
+        if ((telemetry).shouldTraceRpc()) { \
+            _xrpl_guard_.emplace((telemetry).startSpan(name)); \
+        }
+
+    #define XRPL_TRACE_SET_ATTR(key, value) \
+        if (_xrpl_guard_.has_value()) { \
+            _xrpl_guard_->setAttribute(key, value); \
+        }
+
+    #define XRPL_TRACE_EXCEPTION(e) \
+        if (_xrpl_guard_.has_value()) { \
+            _xrpl_guard_->recordException(e); \
+        }
+    ```
+
+  - When `XRPL_ENABLE_TELEMETRY` is NOT defined, all macros expand to `((void)0)`
+
+**Key new file**:
+
+- `src/xrpld/telemetry/TracingInstrumentation.h`
+
+**Reference**:
+
+- [04-code-samples.md §4.3](./04-code-samples.md) — Full macro definitions for `XRPL_TRACE_SPAN`, `XRPL_TRACE_RPC`, `XRPL_TRACE_CONSENSUS`, `XRPL_TRACE_SET_ATTR`, `XRPL_TRACE_EXCEPTION` with both enabled and disabled branches
+- [03-implementation-strategy.md §3.7.3](./03-implementation-strategy.md) — Conditional instrumentation pattern: compile-time `#ifndef` and runtime `shouldTrace*()` checks
+- [03-implementation-strategy.md §3.9.7](./03-implementation-strategy.md) — Before/after code examples showing minimal intrusiveness (~1-3 lines per instrumentation point)
+
+---
+
+## Task 6: Instrument RPC ServerHandler
+
+> **WS** = WebSocket
+
+**Objective**: Add tracing to the HTTP RPC entry point so every incoming RPC request creates a span.
+
+**What to do**:
+
+- Edit `src/xrpld/rpc/detail/ServerHandler.cpp`:
+  - `#include` the `TracingInstrumentation.h` header
+  - In `ServerHandler::onRequest(Session& session)`:
+    - At the top of the method, add: `XRPL_TRACE_RPC(app_.getTelemetry(), "rpc.request");`
+    - After the RPC command name is extracted, set attribute: `XRPL_TRACE_SET_ATTR("xrpl.rpc.command", command);`
+    - After the response status is known, set: `XRPL_TRACE_SET_ATTR("http.status_code", static_cast<int64_t>(statusCode));`
+    - Wrap error paths with: `XRPL_TRACE_EXCEPTION(e);`
+  - In `ServerHandler::processRequest(...)`:
+    - Add a child span: `XRPL_TRACE_RPC(app_.getTelemetry(), "rpc.process");`
+    - Set method attribute: `XRPL_TRACE_SET_ATTR("xrpl.rpc.method", request_method);`
+  - In `ServerHandler::onWSMessage(...)` (WebSocket path):
+    - Add: `XRPL_TRACE_RPC(app_.getTelemetry(), "rpc.ws.message");`
+
+- The goal is to see spans like:
+  ```
+  rpc.request
+    └── rpc.process
+  ```
+  in Tempo/Grafana for every HTTP RPC call.
+
+**Key modified file**:
+
+- `src/xrpld/rpc/detail/ServerHandler.cpp` (~15-25 lines added)
+
+**Reference**:
+
+- [04-code-samples.md §4.5.3](./04-code-samples.md) — Complete `ServerHandler::onRequest()` instrumented code sample with W3C header extraction, span creation, attribute setting, and error handling
+- [01-architecture-analysis.md §1.5](./01-architecture-analysis.md) — RPC request flow diagram: HTTP request -> attributes -> jobqueue.enqueue -> rpc.command -> response
+- [01-architecture-analysis.md §1.6](./01-architecture-analysis.md) — Key trace points table: `rpc.request` in `ServerHandler.cpp::onRequest()` (Priority: High)
+- [02-design-decisions.md §2.3](./02-design-decisions.md) — Span naming convention: `rpc.request`, `rpc.command.*`
+- [02-design-decisions.md §2.4.2](./02-design-decisions.md) — RPC span attributes: `xrpl.rpc.command`, `xrpl.rpc.version`, `xrpl.rpc.role`, `xrpl.rpc.params`
+- [03-implementation-strategy.md §3.9.2](./03-implementation-strategy.md) — File impact: `ServerHandler.cpp` ~40 lines added, ~10 changed (Low risk)
+
+---
+
+## Task 7: Instrument RPC Command Execution
+
+**Objective**: Add per-command tracing inside the RPC handler so each command (e.g., `submit`, `account_info`, `server_info`) gets its own child span.
+
+**What to do**:
+
+- Edit `src/xrpld/rpc/detail/RPCHandler.cpp`:
+  - `#include` the `TracingInstrumentation.h` header
+  - In `doCommand(RPC::JsonContext& context, Json::Value& result)`:
+    - At the top: `XRPL_TRACE_RPC(context.app.getTelemetry(), "rpc.command." + context.method);`
+    - Set attributes:
+      - `XRPL_TRACE_SET_ATTR("xrpl.rpc.command", context.method);`
+      - `XRPL_TRACE_SET_ATTR("xrpl.rpc.version", static_cast<int64_t>(context.apiVersion));`
+      - `XRPL_TRACE_SET_ATTR("xrpl.rpc.role", (context.role == Role::ADMIN) ? "admin" : "user");`
+    - On success: `XRPL_TRACE_SET_ATTR("xrpl.rpc.status", "success");`
+    - On error: `XRPL_TRACE_SET_ATTR("xrpl.rpc.status", "error");` and set the error message
+
+- After this, traces in Tempo/Grafana should look like:
+  ```
+  rpc.request  (xrpl.rpc.command=account_info)
+    └── rpc.process
+          └── rpc.command.account_info  (xrpl.rpc.version=2, xrpl.rpc.role=user, xrpl.rpc.status=success)
+  ```
+
+**Key modified file**:
+
+- `src/xrpld/rpc/detail/RPCHandler.cpp` (~15-20 lines added)
+
+**Reference**:
+
+- [04-code-samples.md §4.5.3](./04-code-samples.md) — `ServerHandler::onRequest()` code sample (includes child span pattern for `rpc.command.*`)
+- [02-design-decisions.md §2.3](./02-design-decisions.md) — Span naming: `rpc.command.*` pattern with dynamic command name (e.g., `rpc.command.server_info`)
+- [02-design-decisions.md §2.4.2](./02-design-decisions.md) — RPC attribute schema: `xrpl.rpc.command`, `xrpl.rpc.version`, `xrpl.rpc.role`, `xrpl.rpc.status`
+- [01-architecture-analysis.md §1.6](./01-architecture-analysis.md) — Key trace points table: `rpc.command.*` in `RPCHandler.cpp::doCommand()` (Priority: High)
+- [02-design-decisions.md §2.6.5](./02-design-decisions.md) — Correlation with PerfLog: how `doCommand()` can link trace_id with existing PerfLog entries
+- [03-implementation-strategy.md §3.4.4](./03-implementation-strategy.md) — RPC request overhead budget: ~1.75 μs total per request
+
+---
+
+## Task 8: Build, Run, and Verify End-to-End
+
+> **OTLP** = OpenTelemetry Protocol
+
+**Objective**: Prove the full pipeline works: rippled emits traces -> OTel Collector receives them -> Tempo stores them for Grafana visualization.
+
+**What to do**:
+
+1. **Start the Docker stack**:
+
+   ```bash
+   docker compose -f docker/telemetry/docker-compose.yml up -d
+   ```
+
+   Verify Collector health: `curl http://localhost:13133`
+
+2. **Build rippled with telemetry**:
+
+   ```bash
+   # Adjust for your actual build workflow
+   conan install . --build=missing -o with_telemetry=True
+   cmake --preset default -DXRPL_ENABLE_TELEMETRY=ON
+   cmake --build --preset default
+   ```
+
+3. **Configure rippled**:
+   Add to `rippled.cfg` (or your local test config):
+
+   ```ini
+   [telemetry]
+   enabled=1
+   endpoint=localhost:4317
+   sampling_ratio=1.0
+   trace_rpc=1
+   ```
+
+4. **Start rippled** in standalone mode:
+
+   ```bash
+   ./rippled --conf rippled.cfg -a --start
+   ```
+
+5. **Generate RPC traffic**:
+
+   ```bash
+   # server_info
+   curl -s -X POST http://localhost:5005 \
+     -H "Content-Type: application/json" \
+     -d '{"method":"server_info","params":[{}]}'
+
+   # ledger
+   curl -s -X POST http://localhost:5005 \
+     -H "Content-Type: application/json" \
+     -d '{"method":"ledger","params":[{"ledger_index":"current"}]}'
+
+   # account_info (will error in standalone, that's fine — we trace errors too)
+   curl -s -X POST http://localhost:5005 \
+     -H "Content-Type: application/json" \
+     -d '{"method":"account_info","params":[{"account":"rHb9CJAWyB4rj91VRWn96DkukG4bwdtyTh"}]}'
+   ```
+
+6. **Verify in Grafana (Tempo)**:
+   - Open `http://localhost:3000`
+   - Navigate to Explore → select Tempo datasource
+   - Search for service `rippled`
+   - Confirm you see traces with spans: `rpc.request` -> `rpc.process` -> `rpc.command.server_info`
+   - Click into a trace and verify attributes: `xrpl.rpc.command`, `xrpl.rpc.status`, `xrpl.rpc.version`
+
+7. **Verify zero-overhead when disabled**:
+   - Rebuild with `XRPL_ENABLE_TELEMETRY=OFF`, or set `enabled=0` in config
+   - Run the same RPC calls
+   - Confirm no new traces appear and no errors in rippled logs
+
+**Verification Checklist**:
+
+- [ ] Docker stack starts without errors
+- [ ] rippled builds with `-DXRPL_ENABLE_TELEMETRY=ON`
+- [ ] rippled starts and connects to OTel Collector (check rippled logs for telemetry messages)
+- [ ] Traces appear in Grafana/Tempo under service "rippled"
+- [ ] Span hierarchy is correct (parent-child relationships)
+- [ ] Span attributes are populated (`xrpl.rpc.command`, `xrpl.rpc.status`, etc.)
+- [ ] Error spans show error status and message
+- [ ] Building with `XRPL_ENABLE_TELEMETRY=OFF` produces no regressions
+- [ ] Setting `enabled=0` at runtime produces no traces and no errors
+
+**Reference**:
+
+- [06-implementation-phases.md §6.11.1](./06-implementation-phases.md) — Phase 1 definition of done: SDK compiles, runtime toggle works, span creation verified in Tempo, config validation passes
+- [06-implementation-phases.md §6.11.2](./06-implementation-phases.md#6112-phase-2-rpc-tracing) — Phase 2 definition of done: 100% RPC coverage, traceparent propagation, <1ms p99 overhead, dashboard deployed
+- [06-implementation-phases.md §6.8](./06-implementation-phases.md) — Success metrics: trace coverage >95%, CPU overhead <3%, memory <5 MB, latency impact <2%
+- [03-implementation-strategy.md §3.9.5](./03-implementation-strategy.md) — Backward compatibility: config optional, protocol unchanged, `XRPL_ENABLE_TELEMETRY=OFF` produces identical binary
+- [01-architecture-analysis.md §1.8](./01-architecture-analysis.md) — Observable outcomes: what traces, metrics, and dashboards to expect
+
+---
+
+## Task 9: Document POC Results and Next Steps
+
+> **OTLP** = OpenTelemetry Protocol | **WS** = WebSocket
+
+**Objective**: Capture findings, screenshots, and remaining work for the team.
+
+**What to do**:
+
+- Take screenshots of Grafana/Tempo showing:
+  - The service list with "rippled"
+  - A trace with the full span tree
+  - Span detail view showing attributes
+- Document any issues encountered (build issues, SDK quirks, missing attributes)
+- Note performance observations (build time impact, any noticeable runtime overhead)
+- Write a short summary of what the POC proves and what it doesn't cover yet:
+  - **Proves**: OTel SDK integrates with rippled, OTLP export works, RPC traces visible
+  - **Doesn't cover**: Cross-node P2P context propagation, consensus tracing, protobuf trace context, W3C traceparent header extraction, tail-based sampling, production deployment
+- Outline next steps (mapping to the full plan phases):
+  - [Phase 2](./06-implementation-phases.md) completion: [W3C header extraction](./02-design-decisions.md) (§2.5), WebSocket tracing, all [RPC handlers](./01-architecture-analysis.md) (§1.6)
+  - [Phase 3](./06-implementation-phases.md): [Protobuf `TraceContext` message](./04-code-samples.md) (§4.4), [transaction relay tracing](./04-code-samples.md) (§4.5.1) across nodes
+  - [Phase 4](./06-implementation-phases.md): [Consensus round and phase tracing](./04-code-samples.md) (§4.5.2)
+  - [Phase 5](./06-implementation-phases.md): [Production collector config](./05-configuration-reference.md) (§5.5.2), [Grafana dashboards](./07-observability-backends.md) (§7.6), [alerting](./07-observability-backends.md) (§7.6.3)
+
+**Reference**:
+
+- [06-implementation-phases.md §6.1](./06-implementation-phases.md) — Full 5-phase timeline overview and Gantt chart
+- [06-implementation-phases.md §6.10](./06-implementation-phases.md) — Crawl-Walk-Run strategy: POC is the CRAWL phase, next steps are WALK and RUN
+- [06-implementation-phases.md §6.12](./06-implementation-phases.md) — Recommended implementation order (14 steps across 9 weeks)
+- [03-implementation-strategy.md §3.9](./03-implementation-strategy.md) — Code intrusiveness assessment and risk matrix for each remaining component
+- [07-observability-backends.md §7.2](./07-observability-backends.md) — Production backend selection (Tempo, Elastic APM, Honeycomb, Datadog)
+- [02-design-decisions.md §2.5](./02-design-decisions.md) — Context propagation design: W3C HTTP headers, protobuf P2P, JobQueue internal
+- [00-tracing-fundamentals.md](./00-tracing-fundamentals.md) — Reference for team onboarding on distributed tracing concepts
+
+---
+
+## Summary
+
+| Task | Description                          | New Files | Modified Files | Depends On |
+| ---- | ------------------------------------ | --------- | -------------- | ---------- |
+| 0    | Docker observability stack           | 4         | 0              | —          |
+| 1    | OTel C++ SDK dependency              | 0         | 2              | —          |
+| 2    | Core Telemetry interface + NullImpl  | 3         | 0              | 1          |
+| 3    | OTel-backed Telemetry implementation | 2         | 1              | 1, 2       |
+| 4    | Application lifecycle integration    | 0         | 3              | 2, 3       |
+| 5    | Instrumentation macros               | 1         | 0              | 2          |
+| 6    | Instrument RPC ServerHandler         | 0         | 1              | 4, 5       |
+| 7    | Instrument RPC command execution     | 0         | 1              | 4, 5       |
+| 8    | End-to-end verification              | 0         | 0              | 0-7        |
+| 9    | Document results and next steps      | 1         | 0              | 8          |
+
+**Parallel work**: Tasks 0 and 1 can run in parallel. Tasks 2 and 5 have no dependency on each other. Tasks 6 and 7 can be done in parallel once Tasks 4 and 5 are complete.
+
+---
+
+## Next Steps (Post-POC)
+
+> **OTLP** = OpenTelemetry Protocol | **WS** = WebSocket
+
+### Metrics Pipeline for Grafana Dashboards
+
+The current POC exports **traces only**. Grafana's Explore view can query Tempo for individual traces, but time-series charts (latency histograms, request throughput, error rates) require a **metrics pipeline**. To enable this:
+
+1. **Add a `spanmetrics` connector** to the OTel Collector config that derives RED metrics (Rate, Errors, Duration) from trace spans automatically:
+
+   ```yaml
+   connectors:
+     spanmetrics:
+       histogram:
+         explicit:
+           buckets: [1ms, 5ms, 10ms, 25ms, 50ms, 100ms, 250ms, 500ms, 1s, 5s]
+       dimensions:
+         - name: xrpl.rpc.command
+         - name: xrpl.rpc.status
+
+   exporters:
+     prometheus:
+       endpoint: 0.0.0.0:8889
+
+   service:
+     pipelines:
+       traces:
+         receivers: [otlp]
+         processors: [batch]
+         exporters: [debug, otlp/tempo, spanmetrics]
+       metrics:
+         receivers: [spanmetrics]
+         exporters: [prometheus]
+   ```
+
+2. **Add Prometheus** to the Docker Compose stack to scrape the collector's metrics endpoint.
+
+3. **Add Prometheus as a Grafana datasource** and build dashboards for:
+   - RPC request latency (p50/p95/p99) by command
+   - RPC throughput (requests/sec) by command
+   - Error rate by command
+   - Span duration distribution
+
+### Additional Instrumentation
+
+- **W3C `traceparent` header extraction** in `ServerHandler` to support cross-service context propagation from external callers
+- **WebSocket RPC tracing** in `ServerHandler::onWSMessage()`
+- **Transaction relay tracing** across nodes using protobuf `TraceContext` messages
+- **Consensus round and phase tracing** for validator coordination visibility
+- **Ledger close tracing** to measure close-to-validated latency
+
+### Production Hardening
+
+- **Tail-based sampling** in the OTel Collector to reduce volume while retaining error/slow traces
+- **TLS configuration** for the OTLP exporter in production deployments
+- **Resource limits** on the batch processor queue to prevent unbounded memory growth
+- **Health monitoring** for the telemetry pipeline itself (collector lag, export failures)
+
+### POC Lessons Learned
+
+Issues encountered during POC implementation that inform future work:
+
+| Issue                                                                                              | Resolution                                                                    | Impact on Future Work                                            |
+| -------------------------------------------------------------------------------------------------- | ----------------------------------------------------------------------------- | ---------------------------------------------------------------- |
+| Conan lockfile rejected `opentelemetry-cpp/1.18.0`                                                 | Used `--lockfile=""` to bypass                                                | Lockfile must be regenerated when adding new dependencies        |
+| Conan package only builds OTLP HTTP exporter, not gRPC                                             | Switched from gRPC to HTTP exporter (`localhost:4318/v1/traces`)              | HTTP exporter is the default; gRPC requires custom Conan profile |
+| CMake target `opentelemetry-cpp::api` etc. don't exist in Conan package                            | Use umbrella target `opentelemetry-cpp::opentelemetry-cpp`                    | Conan targets differ from upstream CMake targets                 |
+| OTel Collector `logging` exporter deprecated                                                       | Renamed to `debug` exporter                                                   | Use `debug` in all collector configs going forward               |
+| Macro parameter `telemetry` collided with `::xrpl::telemetry::` namespace                          | Renamed macro params to `_tel_obj_`, `_span_name_`                            | Avoid common words as macro parameter names                      |
+| `opentelemetry::trace::Scope` creates new context on move                                          | Store scope as member, create once in constructor                             | SpanGuard move semantics need care with Scope lifecycle          |
+| `TracerProviderFactory::Create` returns `unique_ptr<sdk::TracerProvider>`, not `nostd::shared_ptr` | Use `std::shared_ptr` member, wrap in `nostd::shared_ptr` for global provider | OTel SDK factory return types don't match API provider types     |
--- a/OpenTelemetryPlan/Phase2_taskList.md
+++ b/OpenTelemetryPlan/Phase2_taskList.md
@@ -0,0 +1,220 @@
+# Phase 2: RPC Tracing Completion Task List
+
+> **Goal**: Complete full RPC tracing coverage with W3C Trace Context propagation, unit tests, and performance validation. Build on the POC foundation to achieve production-quality RPC observability.
+>
+> **Scope**: W3C header extraction, TraceContext propagation utilities, unit tests for core telemetry, integration tests for RPC tracing, and performance benchmarks.
+>
+> **Branch**: `pratik/otel-phase2-rpc-tracing` (from `pratik/OpenTelemetry_and_DistributedTracing_planning`)
+
+### Related Plan Documents
+
+| Document                                                     | Relevance                                                     |
+| ------------------------------------------------------------ | ------------------------------------------------------------- |
+| [04-code-samples.md](./04-code-samples.md)                   | TraceContextPropagator (§4.4.2), RPC instrumentation (§4.5.3) |
+| [02-design-decisions.md](./02-design-decisions.md)           | W3C Trace Context (§2.5), span attributes (§2.4.2)            |
+| [06-implementation-phases.md](./06-implementation-phases.md) | Phase 2 tasks (§6.3), definition of done (§6.11.2)            |
+
+---
+
+## Task 2.1: Implement W3C Trace Context HTTP Header Extraction
+
+**Objective**: Extract `traceparent` and `tracestate` headers from incoming HTTP RPC requests so external callers can propagate their trace context into rippled.
+
+**What to do**:
+
+- Create `include/xrpl/telemetry/TraceContextPropagator.h`:
+  - `extractFromHeaders(headerGetter)` - extract W3C traceparent/tracestate from HTTP headers
+  - `injectToHeaders(ctx, headerSetter)` - inject trace context into response headers
+  - Use OTel's `TextMapPropagator` with `W3CTraceContextPropagator` for standards compliance
+  - Only compiled when `XRPL_ENABLE_TELEMETRY` is defined
+
+- Create `src/libxrpl/telemetry/TraceContextPropagator.cpp`:
+  - Implement a simple `TextMapCarrier` adapter for HTTP headers
+  - Use `opentelemetry::context::propagation::GlobalTextMapPropagator` for extraction/injection
+  - Register the W3C propagator in `TelemetryImpl::start()`
+
+- Modify `src/xrpld/rpc/detail/ServerHandler.cpp`:
+  - In the HTTP request handler, extract parent context from headers before creating span
+  - Pass extracted context to `startSpan()` as parent
+  - Inject trace context into response headers
+
+**Key new files**:
+
+- `include/xrpl/telemetry/TraceContextPropagator.h`
+- `src/libxrpl/telemetry/TraceContextPropagator.cpp`
+
+**Key modified files**:
+
+- `src/xrpld/rpc/detail/ServerHandler.cpp`
+- `src/libxrpl/telemetry/Telemetry.cpp` (register W3C propagator)
+
+**Reference**:
+
+- [04-code-samples.md §4.4.2](./04-code-samples.md) — TraceContextPropagator with extractFromHeaders/injectToHeaders
+- [02-design-decisions.md §2.5](./02-design-decisions.md) — W3C Trace Context propagation design
+
+---
+
+## Task 2.2: Add XRPL_TRACE_PEER Macro
+
+**Objective**: Add the missing peer-tracing macro for future Phase 3 use and ensure macro completeness.
+
+**What to do**:
+
+- Edit `src/xrpld/telemetry/TracingInstrumentation.h`:
+  - Add `XRPL_TRACE_PEER(_tel_obj_, _span_name_)` macro that checks `shouldTracePeer()`
+  - Add `XRPL_TRACE_LEDGER(_tel_obj_, _span_name_)` macro (for future ledger tracing)
+  - Ensure disabled variants expand to `((void)0)`
+
+**Key modified file**:
+
+- `src/xrpld/telemetry/TracingInstrumentation.h`
+
+---
+
+## Task 2.3: Add shouldTraceLedger() to Telemetry Interface
+
+**Objective**: The `Setup` struct has a `traceLedger` field but there's no corresponding virtual method. Add it for interface completeness.
+
+**What to do**:
+
+- Edit `include/xrpl/telemetry/Telemetry.h`:
+  - Add `virtual bool shouldTraceLedger() const = 0;`
+
+- Update all implementations:
+  - `src/libxrpl/telemetry/Telemetry.cpp` (TelemetryImpl, NullTelemetryOtel)
+  - `src/libxrpl/telemetry/NullTelemetry.cpp` (NullTelemetry)
+
+**Key modified files**:
+
+- `include/xrpl/telemetry/Telemetry.h`
+- `src/libxrpl/telemetry/Telemetry.cpp`
+- `src/libxrpl/telemetry/NullTelemetry.cpp`
+
+---
+
+## Task 2.4: Unit Tests for Core Telemetry Infrastructure
+
+**Objective**: Add unit tests for the core telemetry abstractions to validate correctness and catch regressions.
+
+**What to do**:
+
+- Create `src/test/telemetry/Telemetry_test.cpp`:
+  - Test NullTelemetry: verify all methods return expected no-op values
+  - Test Setup defaults: verify all Setup fields have correct defaults
+  - Test setup_Telemetry config parser: verify parsing of [telemetry] section
+  - Test enabled/disabled factory paths
+  - Test shouldTrace\* methods respect config flags
+
+- Create `src/test/telemetry/SpanGuard_test.cpp`:
+  - Test SpanGuard RAII lifecycle (span ends on destruction)
+  - Test move constructor works correctly
+  - Test setAttribute, setOk, setStatus, addEvent, recordException
+  - Test context() returns valid context
+
+- Add test files to CMake build
+
+**Key new files**:
+
+- `src/test/telemetry/Telemetry_test.cpp`
+- `src/test/telemetry/SpanGuard_test.cpp`
+
+**Reference**:
+
+- [06-implementation-phases.md §6.11.1](./06-implementation-phases.md) — Phase 1 exit criteria (unit tests passing)
+
+---
+
+## Task 2.5: Enhance RPC Span Attributes
+
+**Objective**: Add additional attributes to RPC spans per the semantic conventions defined in the plan.
+
+**What to do**:
+
+- Edit `src/xrpld/rpc/detail/ServerHandler.cpp`:
+  - Add `http.method` attribute for HTTP requests
+  - Add `http.status_code` attribute for responses
+  - Add `net.peer.ip` attribute for client IP (if available)
+
+- Edit `src/xrpld/rpc/detail/RPCHandler.cpp`:
+  - Add `xrpl.rpc.duration_ms` attribute on completion
+  - Add error message attribute on failure: `xrpl.rpc.error_message`
+
+**Key modified files**:
+
+- `src/xrpld/rpc/detail/ServerHandler.cpp`
+- `src/xrpld/rpc/detail/RPCHandler.cpp`
+
+**Reference**:
+
+- [02-design-decisions.md §2.4.2](./02-design-decisions.md) — RPC attribute schema
+
+---
+
+## Task 2.6: Build Verification and Performance Baseline
+
+**Objective**: Verify the build succeeds with and without telemetry, and establish a performance baseline.
+
+**What to do**:
+
+1. Build with `telemetry=ON` and verify no compilation errors
+2. Build with `telemetry=OFF` and verify no regressions
+3. Run existing unit tests to verify no breakage
+4. Document any build issues in lessons.md
+
+**Verification Checklist**:
+
+- [ ] `conan install . --build=missing -o telemetry=True` succeeds
+- [ ] `cmake --preset default -Dtelemetry=ON` configures correctly
+- [ ] Build succeeds with telemetry ON
+- [ ] Build succeeds with telemetry OFF
+- [ ] Existing tests pass with telemetry ON
+- [ ] Existing tests pass with telemetry OFF
+
+---
+
+## Summary
+
+| Task | Description                                 | New Files | Modified Files | Depends On |
+| ---- | ------------------------------------------- | --------- | -------------- | ---------- |
+| 2.1  | W3C Trace Context header extraction         | 2         | 2              | POC        |
+| 2.2  | Add XRPL_TRACE_PEER/LEDGER macros           | 0         | 1              | POC        |
+| 2.3  | Add shouldTraceLedger() interface method    | 0         | 3              | POC        |
+| 2.4  | Unit tests for core telemetry               | 2         | 1              | POC        |
+| 2.5  | Enhanced RPC span attributes                | 0         | 2              | POC        |
+| 2.6  | Build verification and performance baseline | 0         | 0              | 2.1-2.5    |
+
+**Parallel work**: Tasks 2.1, 2.2, 2.3 can run in parallel. Task 2.4 depends on 2.3. Task 2.5 can run in parallel with 2.4. Task 2.6 depends on all others.
+
+---
+
+## Known Issues / Future Work
+
+### Thread safety of TelemetryImpl::stop() vs startSpan()
+
+`TelemetryImpl::stop()` resets `sdkProvider_` (a `std::shared_ptr`) without
+synchronization. `getTracer()` reads the same member from RPC handler threads.
+This is a data race if any thread calls `startSpan()` concurrently with `stop()`.
+
+**Current mitigation**: `Application::stop()` shuts down `serverHandler_`,
+`overlay_`, and `jobQueue_` before calling `telemetry_->stop()`, so no callers
+remain. See comments in `Telemetry.cpp:stop()` and `Application.cpp`.
+
+**TODO**: Add an `std::atomic<bool> stopped_` flag checked in `getTracer()` to
+make this robust against future shutdown order changes.
+
+### Macro incompatibility: XRPL_TRACE_SPAN vs XRPL_TRACE_SET_ATTR
+
+`XRPL_TRACE_SPAN` and `XRPL_TRACE_SPAN_KIND` declare `_xrpl_guard_` as a bare
+`SpanGuard`, but `XRPL_TRACE_SET_ATTR` and `XRPL_TRACE_EXCEPTION` call
+`_xrpl_guard_.has_value()` which requires `std::optional<SpanGuard>`. Using
+`XRPL_TRACE_SPAN` followed by `XRPL_TRACE_SET_ATTR` in the same scope would
+fail to compile.
+
+**Current mitigation**: No call site currently uses `XRPL_TRACE_SPAN` — all
+production code uses the conditional macros (`XRPL_TRACE_RPC`, `XRPL_TRACE_TX`,
+etc.) which correctly wrap the guard in `std::optional`.
+
+**TODO**: Either make `XRPL_TRACE_SPAN`/`XRPL_TRACE_SPAN_KIND` also wrap in
+`std::optional`, or document that `XRPL_TRACE_SET_ATTR` is only compatible with
+the conditional macros.
--- a/OpenTelemetryPlan/Phase3_taskList.md
+++ b/OpenTelemetryPlan/Phase3_taskList.md
@@ -0,0 +1,263 @@
+# Phase 3: Transaction Tracing Task List
+
+> **Goal**: Trace the full transaction lifecycle from RPC submission through peer relay, including cross-node context propagation via Protocol Buffer extensions. This is the WALK phase that demonstrates true distributed tracing.
+>
+> **Scope**: Protocol Buffer `TraceContext` message, context serialization, PeerImp transaction instrumentation, NetworkOPs processing instrumentation, HashRouter visibility, and multi-node relay context propagation.
+>
+> **Branch**: `pratik/otel-phase3-tx-tracing` (from `pratik/otel-phase2-rpc-tracing`)
+
+### Related Plan Documents
+
+| Document                                                     | Relevance                                                                                        |
+| ------------------------------------------------------------ | ------------------------------------------------------------------------------------------------ |
+| [04-code-samples.md](./04-code-samples.md)                   | TraceContext protobuf (§4.4.1), PeerImp instrumentation (§4.5.1), context serialization (§4.4.2) |
+| [01-architecture-analysis.md](./01-architecture-analysis.md) | Transaction flow (§1.3), key trace points (§1.6)                                                 |
+| [06-implementation-phases.md](./06-implementation-phases.md) | Phase 3 tasks (§6.4), definition of done (§6.11.3)                                               |
+| [02-design-decisions.md](./02-design-decisions.md)           | Context propagation design (§2.5), attribute schema (§2.4.3)                                     |
+
+---
+
+## Task 3.1: Define TraceContext Protocol Buffer Message
+
+**Objective**: Add trace context fields to the P2P protocol messages so trace IDs can propagate across nodes.
+
+**What to do**:
+
+- Edit `include/xrpl/proto/xrpl.proto` (or `src/ripple/proto/ripple.proto`, wherever the proto is):
+  - Add `TraceContext` message definition:
+    ```protobuf
+    message TraceContext {
+        bytes trace_id = 1;      // 16-byte trace identifier
+        bytes span_id = 2;       // 8-byte span identifier
+        uint32 trace_flags = 3;  // bit 0 = sampled
+        string trace_state = 4;  // W3C tracestate value
+    }
+    ```
+  - Add `optional TraceContext trace_context = 1001;` to:
+    - `TMTransaction`
+    - `TMProposeSet` (for Phase 4 use)
+    - `TMValidation` (for Phase 4 use)
+  - Use high field numbers (1001+) to avoid conflicts with existing fields
+
+- Regenerate protobuf C++ code
+
+**Key modified files**:
+
+- `include/xrpl/proto/xrpl.proto` (or equivalent)
+
+**Reference**:
+
+- [04-code-samples.md §4.4.1](./04-code-samples.md) — TraceContext message definition
+- [02-design-decisions.md §2.5.2](./02-design-decisions.md) — Protocol buffer context propagation design
+
+---
+
+## Task 3.2: Implement Protobuf Context Serialization
+
+**Objective**: Create utilities to serialize/deserialize OTel trace context to/from protobuf `TraceContext` messages.
+
+**What to do**:
+
+- Create `include/xrpl/telemetry/TraceContextPropagator.h` (extend from Phase 2 if exists, or add protobuf methods):
+  - Add protobuf-specific methods:
+    - `static Context extractFromProtobuf(protocol::TraceContext const& proto)` — reconstruct OTel context from protobuf fields
+    - `static void injectToProtobuf(Context const& ctx, protocol::TraceContext& proto)` — serialize current span context into protobuf fields
+  - Both methods guard behind `#ifdef XRPL_ENABLE_TELEMETRY`
+
+- Create/extend `src/libxrpl/telemetry/TraceContextPropagator.cpp`:
+  - Implement extraction: read trace_id (16 bytes), span_id (8 bytes), trace_flags from protobuf, construct `SpanContext`, wrap in `Context`
+  - Implement injection: get current span from context, serialize its TraceId, SpanId, and TraceFlags into protobuf fields
+
+**Key new/modified files**:
+
+- `include/xrpl/telemetry/TraceContextPropagator.h`
+- `src/libxrpl/telemetry/TraceContextPropagator.cpp`
+
+**Reference**:
+
+- [04-code-samples.md §4.4.2](./04-code-samples.md) — Full extract/inject implementation
+
+---
+
+## Task 3.3: Instrument PeerImp Transaction Handling
+
+**Objective**: Add trace spans to the peer-level transaction receive and relay path.
+
+**What to do**:
+
+- Edit `src/xrpld/overlay/detail/PeerImp.cpp`:
+  - In `onMessage(TMTransaction)` / `handleTransaction()`:
+    - Extract parent trace context from incoming `TMTransaction::trace_context` field (if present)
+    - Create `tx.receive` span as child of extracted context (or new root if none)
+    - Set attributes: `xrpl.tx.hash`, `xrpl.peer.id`, `xrpl.tx.status`
+    - On HashRouter suppression (duplicate): set `xrpl.tx.suppressed=true`, add `tx.duplicate` event
+    - Wrap validation call with child span `tx.validate`
+    - Wrap relay with `tx.relay` span
+  - When relaying to peers:
+    - Inject current trace context into outgoing `TMTransaction::trace_context`
+    - Set `xrpl.tx.relay_count` attribute
+
+- Include `TracingInstrumentation.h` and use `XRPL_TRACE_TX` macro
+
+**Key modified files**:
+
+- `src/xrpld/overlay/detail/PeerImp.cpp`
+
+**Reference**:
+
+- [04-code-samples.md §4.5.1](./04-code-samples.md) — Full PeerImp instrumentation example
+- [01-architecture-analysis.md §1.3](./01-architecture-analysis.md) — Transaction flow diagram
+- [01-architecture-analysis.md §1.6](./01-architecture-analysis.md) — tx.receive trace point
+
+---
+
+## Task 3.4: Instrument NetworkOPs Transaction Processing
+
+**Objective**: Trace the transaction processing pipeline in NetworkOPs, covering both sync and async paths.
+
+**What to do**:
+
+- Edit `src/xrpld/app/misc/NetworkOPs.cpp`:
+  - In `processTransaction()`:
+    - Create `tx.process` span
+    - Set attributes: `xrpl.tx.hash`, `xrpl.tx.type`, `xrpl.tx.local` (whether from RPC or peer)
+    - Record whether sync or async path is taken
+
+  - In `doTransactionAsync()`:
+    - Capture parent context before queuing
+    - Create `tx.queue` span with queue depth attribute
+    - Add event when transaction is dequeued for processing
+
+  - In `doTransactionSync()`:
+    - Create `tx.process_sync` span
+    - Record result (applied, queued, rejected)
+
+**Key modified files**:
+
+- `src/xrpld/app/misc/NetworkOPs.cpp`
+
+**Reference**:
+
+- [01-architecture-analysis.md §1.6](./01-architecture-analysis.md) — tx.validate and tx.process trace points
+- [02-design-decisions.md §2.4.3](./02-design-decisions.md) — Transaction attribute schema
+
+---
+
+## Task 3.5: Instrument HashRouter for Dedup Visibility
+
+**Objective**: Make transaction deduplication visible in traces by recording HashRouter decisions as span attributes/events.
+
+**What to do**:
+
+- Edit `src/xrpld/overlay/detail/PeerImp.cpp` (in handleTransaction):
+  - After calling `HashRouter::shouldProcess()` or `addSuppressionPeer()`:
+    - Record `xrpl.tx.suppressed` attribute (true/false)
+    - Record `xrpl.tx.flags` showing current HashRouter state (SAVED, TRUSTED, etc.)
+    - Add `tx.first_seen` or `tx.duplicate` event
+
+- This is NOT a modification to HashRouter itself — just recording its decisions as span attributes in the existing PeerImp instrumentation from Task 3.3.
+
+**Key modified files**:
+
+- `src/xrpld/overlay/detail/PeerImp.cpp` (same changes as 3.3, logically grouped)
+
+---
+
+## Task 3.6: Context Propagation in Transaction Relay
+
+**Objective**: Ensure trace context flows correctly when transactions are relayed between peers, creating linked spans across nodes.
+
+**What to do**:
+
+- Verify the relay path injects trace context:
+  - When `PeerImp` relays a transaction, the `TMTransaction` message should carry `trace_context`
+  - When a remote peer receives it, the context is extracted and used as parent
+
+- Test context propagation:
+  - Manually verify with 2+ node setup that trace IDs match across nodes
+  - Confirm parent-child span relationships are correct in Jaeger
+
+- Handle edge cases:
+  - Missing trace context (older peers): create new root span
+  - Corrupted trace context: log warning, create new root span
+  - Sampled-out traces: respect trace flags
+
+**Key modified files**:
+
+- `src/xrpld/overlay/detail/PeerImp.cpp`
+- `src/xrpld/overlay/detail/OverlayImpl.cpp` (if relay method needs context param)
+
+**Reference**:
+
+- [02-design-decisions.md §2.5](./02-design-decisions.md) — Context propagation design
+- [04-code-samples.md §4.5.1](./04-code-samples.md) — Relay context injection pattern
+
+---
+
+## Task 3.7: Build Verification and Testing
+
+**Objective**: Verify all Phase 3 changes compile and work correctly.
+
+**What to do**:
+
+1. Build with `telemetry=ON` — verify no compilation errors
+2. Build with `telemetry=OFF` — verify no regressions
+3. Run existing unit tests
+4. Verify protobuf regeneration produces correct C++ code
+5. Document any issues encountered
+
+**Verification Checklist**:
+
+- [ ] Protobuf changes generate valid C++
+- [ ] Build succeeds with telemetry ON
+- [ ] Build succeeds with telemetry OFF
+- [ ] Existing tests pass
+- [ ] No undefined symbols from new telemetry calls
+
+---
+
+## Summary
+
+| Task | Description                         | New Files | Modified Files | Depends On |
+| ---- | ----------------------------------- | --------- | -------------- | ---------- |
+| 3.1  | TraceContext protobuf message       | 0         | 1              | Phase 2    |
+| 3.2  | Protobuf context serialization      | 1-2       | 0              | 3.1        |
+| 3.3  | PeerImp transaction instrumentation | 0         | 1              | 3.2        |
+| 3.4  | NetworkOPs transaction processing   | 0         | 1              | Phase 2    |
+| 3.5  | HashRouter dedup visibility         | 0         | 1              | 3.3        |
+| 3.6  | Relay context propagation           | 0         | 1-2            | 3.3, 3.5   |
+| 3.7  | Build verification and testing      | 0         | 0              | 3.1-3.6    |
+
+**Parallel work**: Tasks 3.1 and 3.4 can start in parallel. Task 3.2 depends on 3.1. Tasks 3.3 and 3.5 depend on 3.2. Task 3.6 depends on 3.3 and 3.5.
+
+**Exit Criteria** (from [06-implementation-phases.md §6.11.3](./06-implementation-phases.md)):
+
+- [ ] Transaction traces span across nodes
+- [ ] Trace context in Protocol Buffer messages
+- [ ] HashRouter deduplication visible in traces
+- [ ] <5% overhead on transaction throughput
+
+---
+
+## Known Issues / Future Work
+
+### Propagation utilities not yet wired into P2P flow
+
+`extractFromProtobuf()` and `injectToProtobuf()` in `TraceContextPropagator.h`
+are implemented and tested but not called from production code. To enable
+cross-node distributed traces:
+
+- Call `injectToProtobuf()` in `PeerImp` when sending `TMTransaction` /
+  `TMProposeSet` messages
+- Call `extractFromProtobuf()` in the corresponding message handlers to
+  reconstruct the parent span context, then pass it to `startSpan()` as the
+  parent
+
+This was deferred to validate single-node tracing performance first.
+
+### Unused trace_state proto field
+
+The `TraceContext.trace_state` field (field 4) in `xrpl.proto` is reserved for
+W3C `tracestate` vendor-specific key-value pairs but is not read or written by
+`TraceContextPropagator`. Wire it when cross-vendor trace propagation is needed.
+No wire cost since proto `optional` fields are zero-cost when absent.
--- a/OpenTelemetryPlan/Phase4_taskList.md
+++ b/OpenTelemetryPlan/Phase4_taskList.md
@@ -0,0 +1,837 @@
+# Phase 4: Consensus Tracing Task List
+
+> **Goal**: Full observability into consensus rounds — track round lifecycle, phase transitions, proposal handling, and validation. This is the RUN phase that completes the distributed tracing story.
+>
+> **Scope**: RCLConsensus instrumentation for round starts, phase transitions (open/establish/accept), proposal send/receive, validation handling, and correlation with transaction traces from Phase 3.
+>
+> **Branch**: `pratik/otel-phase4-consensus-tracing` (from `pratik/otel-phase3-tx-tracing`)
+
+### Related Plan Documents
+
+| Document                                                     | Relevance                                                   |
+| ------------------------------------------------------------ | ----------------------------------------------------------- |
+| [04-code-samples.md](./04-code-samples.md)                   | Consensus instrumentation (§4.5.2), consensus span patterns |
+| [01-architecture-analysis.md](./01-architecture-analysis.md) | Consensus round flow (§1.4), key trace points (§1.6)        |
+| [06-implementation-phases.md](./06-implementation-phases.md) | Phase 4 tasks (§6.5), definition of done (§6.11.4)          |
+| [02-design-decisions.md](./02-design-decisions.md)           | Consensus attribute schema (§2.4.4)                         |
+
+---
+
+## Task 4.1: Instrument Consensus Round Start
+
+**Objective**: Create a root span for each consensus round that captures the round's key parameters.
+
+**What to do**:
+
+- Edit `src/xrpld/app/consensus/RCLConsensus.cpp`:
+  - In `RCLConsensus::startRound()` (or the Adaptor's startRound):
+    - Create `consensus.round` span using `XRPL_TRACE_CONSENSUS` macro
+    - Set attributes:
+      - `xrpl.consensus.ledger.prev` — previous ledger hash
+      - `xrpl.consensus.ledger.seq` — target ledger sequence
+      - `xrpl.consensus.proposers` — number of trusted proposers
+      - `xrpl.consensus.mode` — "proposing" or "observing"
+    - Store the span context for use by child spans in phase transitions
+
+- Add a member to hold current round trace context:
+  - `opentelemetry::context::Context currentRoundContext_` (guarded by `#ifdef`)
+  - Updated at round start, used by phase transition spans
+
+**Key modified files**:
+
+- `src/xrpld/app/consensus/RCLConsensus.cpp`
+- `src/xrpld/app/consensus/RCLConsensus.h` (add context member)
+
+**Reference**:
+
+- [04-code-samples.md §4.5.2](./04-code-samples.md) — startRound instrumentation example
+- [01-architecture-analysis.md §1.4](./01-architecture-analysis.md) — Consensus round flow
+
+---
+
+## Task 4.2: Instrument Phase Transitions
+
+**Objective**: Create child spans for each consensus phase (open, establish, accept) to show timing breakdown.
+
+**What to do**:
+
+- Edit `src/xrpld/app/consensus/RCLConsensus.cpp`:
+  - Identify where phase transitions occur (the `Consensus<Adaptor>` template drives this)
+  - For each phase entry:
+    - Create span as child of `currentRoundContext_`: `consensus.phase.open`, `consensus.phase.establish`, `consensus.phase.accept`
+    - Set `xrpl.consensus.phase` attribute
+    - Add `phase.enter` event at start, `phase.exit` event at end
+    - Record phase duration in milliseconds
+
+  - In the `onClose` adaptor method:
+    - Create `consensus.ledger_close` span
+    - Set attributes: close_time, mode, transaction count in initial position
+
+  - Note: The Consensus template class in `src/xrpld/consensus/Consensus.h` drives phase transitions — Phase 4a instruments directly in the template
+
+**Key modified files**:
+
+- `src/xrpld/app/consensus/RCLConsensus.cpp`
+- Possibly `include/xrpl/consensus/Consensus.h` (for template-level phase tracking)
+
+**Reference**:
+
+- [04-code-samples.md §4.5.2](./04-code-samples.md) — phaseTransition instrumentation
+
+---
+
+## Task 4.3: Instrument Proposal Handling
+
+**Objective**: Trace proposal send and receive to show validator coordination.
+
+**What to do**:
+
+- Edit `src/xrpld/app/consensus/RCLConsensus.cpp`:
+  - In `Adaptor::propose()`:
+    - Create `consensus.proposal.send` span
+    - Set attributes: `xrpl.consensus.round` (proposal sequence), proposal hash
+    - Inject trace context into outgoing `TMProposeSet::trace_context` (from Phase 3 protobuf)
+
+  - In `Adaptor::peerProposal()` (or wherever peer proposals are received):
+    - Extract trace context from incoming `TMProposeSet::trace_context`
+    - Create `consensus.proposal.receive` span as child of extracted context
+    - Set attributes: `xrpl.consensus.proposer` (node ID), `xrpl.consensus.round`
+
+  - In `Adaptor::share(RCLCxPeerPos)`:
+    - Create `consensus.proposal.relay` span for relaying peer proposals
+
+**Key modified files**:
+
+- `src/xrpld/app/consensus/RCLConsensus.cpp`
+
+**Reference**:
+
+- [04-code-samples.md §4.5.2](./04-code-samples.md) — peerProposal instrumentation
+- [02-design-decisions.md §2.4.4](./02-design-decisions.md) — Consensus attribute schema
+
+---
+
+## Task 4.4: Instrument Validation Handling
+
+**Objective**: Trace validation send and receive to show ledger validation flow.
+
+**What to do**:
+
+- Edit `src/xrpld/app/consensus/RCLConsensus.cpp` (or the validation handler):
+  - When sending our validation:
+    - Create `consensus.validation.send` span
+    - Set attributes: validated ledger hash, sequence, signing time
+
+  - When receiving a peer validation:
+    - Extract trace context from `TMValidation::trace_context` (if present)
+    - Create `consensus.validation.receive` span
+    - Set attributes: `xrpl.consensus.validator` (node ID), ledger hash
+
+**Key modified files**:
+
+- `src/xrpld/app/consensus/RCLConsensus.cpp`
+- `src/xrpld/app/misc/NetworkOPs.cpp` (if validation handling is here)
+
+---
+
+## Task 4.5: Add Consensus-Specific Attributes
+
+**Objective**: Enrich consensus spans with detailed attributes for debugging and analysis.
+
+**What to do**:
+
+- Review all consensus spans and ensure they include:
+  - `xrpl.consensus.ledger.seq` — target ledger sequence number
+  - `xrpl.consensus.round` — consensus round number
+  - `xrpl.consensus.mode` — proposing/observing/wrongLedger
+  - `xrpl.consensus.phase` — current phase name
+  - `xrpl.consensus.phase_duration_ms` — time spent in phase
+  - `xrpl.consensus.proposers` — number of trusted proposers
+  - `xrpl.consensus.tx_count` — transactions in proposed set
+  - `xrpl.consensus.disputes` — number of disputed transactions
+  - `xrpl.consensus.converge_percent` — convergence percentage
+
+**Key modified files**:
+
+- `src/xrpld/app/consensus/RCLConsensus.cpp`
+
+---
+
+## Task 4.6: Correlate Transaction and Consensus Traces
+
+**Objective**: Link transaction traces from Phase 3 with consensus traces so you can follow a transaction from submission through consensus into the ledger.
+
+**What to do**:
+
+- In `onClose()` or `onAccept()`:
+  - When building the consensus position, link the round span to individual transaction spans using span links (if OTel SDK supports it) or events
+  - At minimum, record the transaction hashes included in the consensus set as span events: `tx.included` with `xrpl.tx.hash` attribute
+
+- In `processTransactionSet()` (NetworkOPs):
+  - If the consensus round span context is available, create child spans for each transaction applied to the ledger
+
+**Key modified files**:
+
+- `src/xrpld/app/consensus/RCLConsensus.cpp`
+- `src/xrpld/app/misc/NetworkOPs.cpp`
+
+---
+
+## Task 4.7: Build Verification and Testing
+
+**Objective**: Verify all Phase 4 changes compile and don't affect consensus timing.
+
+**What to do**:
+
+1. Build with `telemetry=ON` — verify no compilation errors
+2. Build with `telemetry=OFF` — verify no regressions (critical for consensus code)
+3. Run existing consensus-related unit tests
+4. Verify that all macros expand to no-ops when disabled
+5. Check that no consensus-critical code paths are affected by instrumentation overhead
+
+**Verification Checklist**:
+
+- [ ] Build succeeds with telemetry ON
+- [ ] Build succeeds with telemetry OFF
+- [ ] Existing consensus tests pass
+- [ ] No new includes in consensus headers when telemetry is OFF
+- [ ] Phase timing instrumentation doesn't use blocking operations
+
+---
+
+## Summary
+
+| Task | Description                           | New Files | Modified Files | Depends On    |
+| ---- | ------------------------------------- | --------- | -------------- | ------------- |
+| 4.1  | Consensus round start instrumentation | 0         | 2              | Phase 3       |
+| 4.2  | Phase transition instrumentation      | 0         | 1-2            | 4.1           |
+| 4.3  | Proposal handling instrumentation     | 0         | 1              | 4.1           |
+| 4.4  | Validation handling instrumentation   | 0         | 1-2            | 4.1           |
+| 4.5  | Consensus-specific attributes         | 0         | 1              | 4.2, 4.3, 4.4 |
+| 4.6  | Transaction-consensus correlation     | 0         | 2              | 4.2, Phase 3  |
+| 4.7  | Build verification and testing        | 0         | 0              | 4.1-4.6       |
+
+**Parallel work**: Tasks 4.2, 4.3, and 4.4 can run in parallel after 4.1 is complete. Task 4.5 depends on all three. Task 4.6 depends on 4.2 and Phase 3.
+
+### Implemented Spans
+
+| Span Name                   | Method                             | Key Attributes                                                                                                                                                                                                        |
+| --------------------------- | ---------------------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
+| `consensus.proposal.send`   | `Adaptor::propose`                 | `xrpl.consensus.round`                                                                                                                                                                                                |
+| `consensus.ledger_close`    | `Adaptor::onClose`                 | `xrpl.consensus.ledger.seq`, `xrpl.consensus.mode`                                                                                                                                                                    |
+| `consensus.accept`          | `Adaptor::onAccept`                | `xrpl.consensus.proposers`, `xrpl.consensus.round_time_ms`                                                                                                                                                            |
+| `consensus.accept.apply`    | `Adaptor::doAccept`                | `xrpl.consensus.close_time`, `close_time_correct`, `close_resolution_ms`, `state`, `proposing`, `round_time_ms`, `ledger.seq`, `parent_close_time`, `close_time_self`, `close_time_vote_bins`, `resolution_direction` |
+| `consensus.validation.send` | `Adaptor::onAccept` (via validate) | `xrpl.consensus.proposing`                                                                                                                                                                                            |
+
+#### Close Time Attributes (consensus.accept.apply)
+
+The `consensus.accept.apply` span captures ledger close time agreement details
+driven by `avCT_CONSENSUS_PCT` (75% validator agreement threshold):
+
+- **`xrpl.consensus.close_time`** — Agreed-upon ledger close time (epoch seconds). When validators disagree (`consensusCloseTime == epoch`), this is synthetically set to `prevCloseTime + 1s`.
+- **`xrpl.consensus.close_time_correct`** — `true` if validators reached agreement, `false` if they "agreed to disagree" (close time forced to prev+1s).
+- **`xrpl.consensus.close_resolution_ms`** — Rounding granularity for close time (starts at 30s, decreases as ledger interval stabilizes).
+- **`xrpl.consensus.state`** — `"finished"` (normal) or `"moved_on"` (consensus failed, adopted best available).
+- **`xrpl.consensus.proposing`** — Whether this node was proposing.
+- **`xrpl.consensus.round_time_ms`** — Total consensus round duration.
+- **`xrpl.consensus.parent_close_time`** — Previous ledger's close time (epoch seconds). Enables computing close-time deltas across consecutive rounds without correlating separate spans.
+- **`xrpl.consensus.close_time_self`** — This node's own proposed close time before consensus voting.
+- **`xrpl.consensus.close_time_vote_bins`** — Number of distinct close-time vote bins from peer proposals. Higher values indicate less agreement among validators.
+- **`xrpl.consensus.resolution_direction`** — Whether close-time resolution `"increased"` (coarser), `"decreased"` (finer), or stayed `"unchanged"` relative to the previous ledger.
+
+**Exit Criteria** (from [06-implementation-phases.md §6.11.4](./06-implementation-phases.md)):
+
+- [x] Complete consensus round traces
+- [x] Phase transitions visible
+- [x] Proposals and validations traced
+- [x] Close time agreement tracked (per `avCT_CONSENSUS_PCT`)
+- [x] No impact on consensus timing
+
+---
+
+# Phase 4a: Establish-Phase Gap Fill & Cross-Node Correlation
+
+> **Goal**: Fill tracing gaps in the consensus establish phase (disputes, convergence,
+> threshold escalation, mode changes) and establish cross-node correlation using a
+> deterministic shared trace ID derived from `previousLedger.id()`.
+>
+> **Approach**: Direct instrumentation in `Consensus.h` — the generic consensus
+> template has full access to internal state (`convergePercent_`, `result_->disputes`,
+> `mode_`, threshold logic). Telemetry access comes via a single new adaptor
+> method `getTelemetry()`. Long-lived spans (round, establish) are stored as
+> class members using `SpanGuard` directly — NOT the `XRPL_TRACE_*` convenience
+> macros (which create local variables named `_xrpl_guard_`). Short-lived
+> scoped spans (update_positions, check) can use the macros. All code compiles
+> to no-ops when `XRPL_ENABLE_TELEMETRY` is not defined.
+>
+> **Branch**: `pratik/otel-phase4-consensus-tracing`
+
+## Design: Switchable Correlation Strategy
+
+Two strategies for cross-node trace correlation, switchable via config:
+
+### Strategy A — Deterministic Trace ID (Default)
+
+Derive `trace_id = SHA256(previousLedger.id())[0:16]` so all nodes in the same
+consensus round share the same trace_id without P2P context propagation.
+
+- **Pros**: All nodes appear in the same trace in Tempo/Jaeger automatically.
+  No collector-side post-processing needed.
+- **Cons**: Overrides OTel's random trace_id generation; requires custom
+  `IdGenerator` or manual span context construction.
+
+### Strategy B — Attribute-Based Correlation
+
+Use normal random trace_id but attach `xrpl.consensus.ledger_id` as an attribute
+on every consensus span. Correlation happens at query time via Tempo/Grafana
+`by attribute` queries.
+
+- **Pros**: Standard OTel trace_id semantics; no SDK customization.
+- **Cons**: Cross-node correlation requires query-time joins, not automatic.
+
+### Config
+
+```ini
+[telemetry]
+# "deterministic" (default) or "attribute"
+consensus_trace_strategy=deterministic
+```
+
+### Implementation
+
+In `RCLConsensus::Adaptor::startRound()`:
+
+- If `deterministic`:
+  1. Compute `trace_id_bytes = SHA256(prevLedgerID)[0:16]`
+  2. Construct `opentelemetry::trace::TraceId(trace_id_bytes)`
+  3. Create a synthetic `SpanContext` with this trace_id and a random span_id:
+     ```cpp
+     auto traceId = opentelemetry::trace::TraceId(trace_id_bytes);
+     auto spanId  = opentelemetry::trace::SpanId(random_8_bytes);
+     auto syntheticCtx = opentelemetry::trace::SpanContext(
+         traceId, spanId, opentelemetry::trace::TraceFlags(1), false);
+     ```
+  4. Wrap in `opentelemetry::context::Context` via
+     `opentelemetry::trace::SetSpan(context, syntheticSpan)`
+  5. Call `startSpan("consensus.round", parentContext)` so the new span
+     inherits the deterministic trace_id.
+- If `attribute`: start a normal `consensus.round` span, set
+  `xrpl.consensus.ledger_id = previousLedger.id()` as attribute.
+
+Both strategies always set `xrpl.consensus.round_id` (round number) and
+`xrpl.consensus.ledger_id` (previous ledger hash) as attributes.
+
+---
+
+## Design: Span Hierarchy
+
+```
+consensus.round  (root — created in RCLConsensus::startRound, closed at accept)
+│   link → previous round's SpanContext (follows-from)
+│
+├── consensus.establish  (phaseEstablish → acceptance, in Consensus.h)
+│   ├── consensus.update_positions  (each updateOurPositions call)
+│   │   └── consensus.dispute.resolve  (per-tx dispute resolution event)
+│   ├── consensus.check  (each haveConsensus call)
+│   └── consensus.mode_change  (short-lived span in adaptor on mode transition)
+│
+├── consensus.accept  (existing onAccept span — reparented under round)
+│
+└── consensus.validation.send  (existing — reparented, follows-from link to round)
+```
+
+### Span Links (follows-from relationships)
+
+| Link Source                               | Link Target                | Rationale                                                                      |
+| ----------------------------------------- | -------------------------- | ------------------------------------------------------------------------------ |
+| `consensus.round` (N+1)                   | `consensus.round` (N)      | Causal chain: round N+1 exists because round N accepted                        |
+| `consensus.validation.send`               | `consensus.round`          | Validation follows from the round that produced it; may outlive the round span |
+| _(Phase 4b)_ Received proposal processing | Sender's `consensus.round` | Cross-node causal link via P2P context propagation                             |
+
+---
+
+## Task 4a.0: Prerequisites — Extend SpanGuard and Telemetry APIs
+
+**Objective**: Add missing API surface needed by later tasks.
+
+**What to do**:
+
+1. **Add `SpanGuard::addEvent()` with attributes** (needed by Task 4a.5):
+   The current `addEvent(string_view name)` only accepts a name. Add an
+   overload that accepts key-value attributes:
+
+   ```cpp
+   void addEvent(std::string_view name,
+       std::initializer_list<
+           std::pair<opentelemetry::nostd::string_view,
+                     opentelemetry::common::AttributeValue>> attributes)
+   {
+       span_->AddEvent(std::string(name), attributes);
+   }
+   ```
+
+2. **Add a `Telemetry::startSpan()` overload that accepts span links** (needed by Tasks 4a.2, 4a.8):
+   The current `startSpan()` has no span link support. Add an overload that
+   accepts a vector of `SpanContext` links for follows-from relationships:
+
+   ```cpp
+   virtual opentelemetry::nostd::shared_ptr<opentelemetry::trace::Span>
+   startSpan(
+       std::string_view name,
+       opentelemetry::context::Context const& parentContext,
+       std::vector<opentelemetry::trace::SpanContext> const& links,
+       opentelemetry::trace::SpanKind kind = opentelemetry::trace::SpanKind::kInternal) = 0;
+   ```
+
+3. **Add `XRPL_TRACE_ADD_EVENT` macro** (needed by Task 4a.5):
+   Add to `TracingInstrumentation.h` to expose `addEvent(name, attrs)` through
+   the macro interface (consistent with `XRPL_TRACE_SET_ATTR` pattern):
+   ```cpp
+   #ifdef XRPL_ENABLE_TELEMETRY
+   #define XRPL_TRACE_ADD_EVENT(name, ...)               \
+       if (_xrpl_guard_.has_value())                     \
+       {                                                 \
+           _xrpl_guard_->addEvent(name, __VA_ARGS__);   \
+       }
+   #else
+   #define XRPL_TRACE_ADD_EVENT(name, ...) ((void)0)
+   #endif
+   ```
+
+**Key modified files**:
+
+- `include/xrpl/telemetry/SpanGuard.h` — add `addEvent()` overload
+- `include/xrpl/telemetry/Telemetry.h` — add `startSpan()` with links
+- `src/xrpld/telemetry/Telemetry.cpp` — implement new overload
+- `src/xrpld/telemetry/NullTelemetry.cpp` — no-op implementation
+- `src/xrpld/telemetry/TracingInstrumentation.h` — add `XRPL_TRACE_ADD_EVENT` macro
+
+---
+
+## Task 4a.1: Adaptor `getTelemetry()` Method
+
+**Objective**: Give `Consensus.h` access to the telemetry subsystem without
+coupling the generic template to OTel headers.
+
+**What to do**:
+
+- Add `getTelemetry()` method to the Adaptor concept (returns
+  `xrpl::telemetry::Telemetry&`). The return type is already forward-declared
+  behind `#ifdef XRPL_ENABLE_TELEMETRY`.
+- Implement in `RCLConsensus::Adaptor` — delegates to `app_.getTelemetry()`.
+- In `Consensus.h`, the `XRPL_TRACE_*` macros call
+  `adaptor_.getTelemetry()` — when telemetry is disabled, the macros expand to
+  `((void)0)` and the method is never called.
+
+**Key modified files**:
+
+- `src/xrpld/app/consensus/RCLConsensus.h` — declare `getTelemetry()`
+- `src/xrpld/app/consensus/RCLConsensus.cpp` — implement `getTelemetry()`
+
+---
+
+## Task 4a.2: Switchable Round Span with Deterministic Trace ID
+
+**Objective**: Create a `consensus.round` root span in `startRound()` that uses
+the switchable correlation strategy. Store span context as a member for child
+spans in `Consensus.h`.
+
+**What to do**:
+
+- In `RCLConsensus::Adaptor::startRound()` (or a new helper):
+  - Read `consensus_trace_strategy` from config.
+  - **Deterministic**: compute `trace_id = SHA256(prevLedgerID)[0:16]`.
+    Construct a `SpanContext` with this trace_id, then start
+    `consensus.round` span as child of that context.
+  - **Attribute**: start normal `consensus.round` span.
+  - Set attributes on both: `xrpl.consensus.round_id`,
+    `xrpl.consensus.ledger_id`, `xrpl.consensus.ledger.seq`,
+    `xrpl.consensus.mode`.
+  - Store the round span in `Consensus` as a member (see Task 4a.3).
+  - If a previous round's span context is available, add a **span link**
+    (follows-from) to establish the round chain.
+
+- Add `createDeterministicTraceId(hash)` utility to
+  `include/xrpl/telemetry/Telemetry.h` (returns 16-byte trace ID from a
+  256-bit hash by truncation).
+
+- Add `consensus_trace_strategy` to `Telemetry::Setup` and
+  `TelemetryConfig.cpp` parser:
+  ```cpp
+  /** Cross-node correlation strategy: "deterministic" or "attribute". */
+  std::string consensusTraceStrategy = "deterministic";
+  ```
+
+**Key modified files**:
+
+- `src/xrpld/app/consensus/RCLConsensus.cpp`
+- `include/xrpl/telemetry/Telemetry.h` — `createDeterministicTraceId()`
+- `src/xrpld/telemetry/TelemetryConfig.cpp` — parse new config option
+
+---
+
+## Task 4a.3: Span Members in `Consensus.h`
+
+**Objective**: Add span storage to the `Consensus` class so that spans created
+in `startRound()` (adaptor) are accessible from `phaseEstablish()`,
+`updateOurPositions()`, and `haveConsensus()` (template methods).
+
+**What to do**:
+
+- Add to `Consensus` private members (guarded by `#ifdef XRPL_ENABLE_TELEMETRY`):
+  ```cpp
+  #ifdef XRPL_ENABLE_TELEMETRY
+  std::optional<xrpl::telemetry::SpanGuard> roundSpan_;
+  std::optional<xrpl::telemetry::SpanGuard> establishSpan_;
+  opentelemetry::context::Context prevRoundContext_;
+  #endif
+  ```
+- `roundSpan_` is created in `startRound()` via the adaptor and stored.
+  Its `SpanGuard::Scope` member keeps the span active on the thread context
+  for the entire round lifetime.
+- `establishSpan_` is created when entering phaseEstablish and cleared on accept.
+  It becomes a child of `roundSpan_` via OTel's thread-local context propagation.
+- `prevRoundContext_` stores the previous round's context for follows-from links.
+
+**Threading assumption**: `startRound()`, `phaseEstablish()`, `updateOurPositions()`,
+and `haveConsensus()` all run on the same thread (the consensus job queue thread).
+This is required for the `SpanGuard::Scope`-based parent-child hierarchy to work.
+The `Consensus` class documentation confirms it is NOT thread-safe and calls are
+serialized by the application.
+
+- Add conditional include at top of `Consensus.h`:
+  ```cpp
+  #ifdef XRPL_ENABLE_TELEMETRY
+  #include <xrpl/telemetry/SpanGuard.h>
+  #include <xrpld/telemetry/TracingInstrumentation.h>
+  #endif
+  ```
+
+**Key modified files**:
+
+- `src/xrpld/consensus/Consensus.h`
+
+---
+
+## Task 4a.4: Instrument `phaseEstablish()`
+
+**Objective**: Create `consensus.establish` span wrapping the establish phase,
+with attributes for convergence progress.
+
+**What to do**:
+
+- At the start of `phaseEstablish()` (line 1298), if `establishSpan_` is not
+  yet created, create it as child of `roundSpan_` using the **direct API**
+  (NOT the `XRPL_TRACE_CONSENSUS` macro, which creates a local variable):
+
+  ```cpp
+  #ifdef XRPL_ENABLE_TELEMETRY
+  if (!establishSpan_ && adaptor_.getTelemetry().shouldTraceConsensus())
+  {
+      establishSpan_.emplace(
+          adaptor_.getTelemetry().startSpan("consensus.establish"));
+  }
+  #endif
+  ```
+
+- Set attributes on each call:
+  - `xrpl.consensus.converge_percent` — `convergePercent_`
+  - `xrpl.consensus.establish_count` — `establishCounter_`
+  - `xrpl.consensus.proposers` — `currPeerPositions_.size()`
+
+- On phase exit (transition to accept), close the establish span and record
+  final duration.
+
+**Key modified files**:
+
+- `src/xrpld/consensus/Consensus.h` — `phaseEstablish()` method
+
+---
+
+## Task 4a.5: Instrument `updateOurPositions()`
+
+**Objective**: Trace each position update cycle including dispute resolution
+details.
+
+**What to do**:
+
+- At the start of `updateOurPositions()` (line 1418), create a scoped child
+  span. This method is called and returns within a single `phaseEstablish()`
+  call, so the `XRPL_TRACE_CONSENSUS` macro works here (scoped local):
+
+  ```cpp
+  XRPL_TRACE_CONSENSUS(adaptor_.getTelemetry(), "consensus.update_positions");
+  ```
+
+- Set attributes:
+  - `xrpl.consensus.disputes_count` — `result_->disputes.size()`
+  - `xrpl.consensus.converge_percent` — current convergence
+  - `xrpl.consensus.proposers_agreed` — count of peers with same position
+  - `xrpl.consensus.proposers_total` — total peer positions
+
+- Inside the dispute resolution loop, for each dispute that changes our vote,
+  add an **event** with attributes using `XRPL_TRACE_ADD_EVENT` (from Task 4a.0):
+  ```cpp
+  XRPL_TRACE_ADD_EVENT("dispute.resolve", {
+      {"xrpl.tx.id", std::string(tx_id)},
+      {"xrpl.dispute.our_vote", our_vote},
+      {"xrpl.dispute.yays", static_cast<int64_t>(yays)},
+      {"xrpl.dispute.nays", static_cast<int64_t>(nays)}
+  });
+  ```
+
+**Key modified files**:
+
+- `src/xrpld/consensus/Consensus.h` — `updateOurPositions()` method
+
+---
+
+## Task 4a.6: Instrument `haveConsensus()` (Threshold & Convergence)
+
+**Objective**: Trace consensus checking including threshold escalation
+(`ConsensusParms::AvalancheState::{init, mid, late, stuck}`).
+
+**What to do**:
+
+- At the start of `haveConsensus()` (line 1598), create a scoped child span:
+
+  ```cpp
+  XRPL_TRACE_CONSENSUS(adaptor_.getTelemetry(), "consensus.check");
+  ```
+
+- Set attributes:
+  - `xrpl.consensus.agree_count` — peers that agree with our position
+  - `xrpl.consensus.disagree_count` — peers that disagree
+  - `xrpl.consensus.converge_percent` — convergence percentage
+  - `xrpl.consensus.result` — ConsensusState result (Yes/No/MovedOn)
+
+- The free function `checkConsensus()` in `Consensus.cpp` (line 151) determines
+  thresholds based on `currentAgreeTime`. Threshold values come from
+  `ConsensusParms::avalancheCutoffs` (defined in `ConsensusParms.h`).
+  The escalation states are `ConsensusParms::AvalancheState::{init, mid, late, stuck}`.
+  Record the effective threshold as an attribute on the span:
+  - `xrpl.consensus.threshold_percent` — current threshold from `avalancheCutoffs`
+
+**Key modified files**:
+
+- `src/xrpld/consensus/Consensus.h` — `haveConsensus()` method
+
+---
+
+## Task 4a.7: Instrument Mode Changes
+
+**Objective**: Trace consensus mode transitions (proposing ↔ observing,
+wrongLedger, switchedLedger).
+
+**What to do**:
+
+Mode changes are rare (typically 0-1 per round), so a **standalone short-lived
+span** is appropriate (not an event). This captures timing of the mode change
+itself.
+
+- In `RCLConsensus::Adaptor::onModeChange()`, create a scoped span:
+
+  ```cpp
+  XRPL_TRACE_CONSENSUS(app_.getTelemetry(), "consensus.mode_change");
+  XRPL_TRACE_SET_ATTR("xrpl.consensus.mode.old", to_string(before).c_str());
+  XRPL_TRACE_SET_ATTR("xrpl.consensus.mode.new", to_string(after).c_str());
+  ```
+
+- Note: `MonitoredMode::set()` (line 304 in `Consensus.h`) calls
+  `adaptor_.onModeChange(before, after)` — so the span is created in the
+  adaptor, which already has telemetry access. No instrumentation needed
+  in `Consensus.h` for this task.
+
+**Key modified files**:
+
+- `src/xrpld/app/consensus/RCLConsensus.cpp` — `onModeChange()`
+
+---
+
+## Task 4a.8: Reparent Existing Spans Under Round
+
+**Objective**: Make existing consensus spans (`consensus.accept`,
+`consensus.accept.apply`, `consensus.validation.send`) children of the
+`consensus.round` root span instead of being standalone.
+
+**What to do**:
+
+- The existing spans in `onAccept()`, `doAccept()`, and `validate()` use
+  `XRPL_TRACE_CONSENSUS(app_.getTelemetry(), ...)` which creates standalone
+  spans on the current thread's context.
+- After Task 4a.2 creates the round span and stores it, these methods run on
+  the same thread within the round span's scope, so they automatically become
+  children. Verify this works correctly.
+- For `consensus.validation.send`: add a **span link** (follows-from) to the
+  round span context, since the validation may be processed after the round
+  completes.
+
+**Key modified files**:
+
+- `src/xrpld/app/consensus/RCLConsensus.cpp` — verify parent-child hierarchy
+
+---
+
+## Task 4a.9: Build Verification and Testing
+
+**Objective**: Verify all Phase 4a changes compile cleanly with telemetry ON
+and OFF, and don't affect consensus timing.
+
+**What to do**:
+
+1. Build with `telemetry=ON` — verify no compilation errors
+2. Build with `telemetry=OFF` — verify macros expand to no-ops, no new includes
+   leak into `Consensus.h` when disabled
+3. Run existing consensus unit tests
+4. Verify `#ifdef XRPL_ENABLE_TELEMETRY` guards on all new members in
+   `Consensus.h`
+5. Run `pccl` pre-commit checks
+
+**Verification Checklist**:
+
+- [x] Build succeeds with telemetry ON
+- [x] Build succeeds with telemetry OFF
+- [x] Existing consensus tests pass
+- [x] `Consensus.h` has zero OTel includes when telemetry is OFF
+- [x] No new virtual calls in hot consensus paths
+- [x] `pccl` passes
+
+---
+
+## Phase 4a Summary
+
+| Task | Description                                      | New Files | Modified Files | Depends On |
+| ---- | ------------------------------------------------ | --------- | -------------- | ---------- |
+| 4a.0 | Prerequisites: extend SpanGuard & Telemetry APIs | 0         | 4              | Phase 4    |
+| 4a.1 | Adaptor `getTelemetry()` method                  | 0         | 2              | Phase 4    |
+| 4a.2 | Switchable round span with deterministic traceID | 0         | 3              | 4a.0, 4a.1 |
+| 4a.3 | Span members in `Consensus.h`                    | 0         | 1              | 4a.1       |
+| 4a.4 | Instrument `phaseEstablish()`                    | 0         | 1              | 4a.3       |
+| 4a.5 | Instrument `updateOurPositions()`                | 0         | 1              | 4a.0, 4a.3 |
+| 4a.6 | Instrument `haveConsensus()` (thresholds)        | 0         | 1              | 4a.3       |
+| 4a.7 | Instrument mode changes                          | 0         | 1              | 4a.1       |
+| 4a.8 | Reparent existing spans under round              | 0         | 1              | 4a.0, 4a.2 |
+| 4a.9 | Build verification and testing                   | 0         | 0              | 4a.0-4a.8  |
+
+**Parallel work**: Tasks 4a.0 and 4a.1 can run in parallel. Tasks 4a.4, 4a.5, 4a.6, and 4a.7 can run in parallel after 4a.3 (and 4a.0 for 4a.5).
+
+### New Spans (Phase 4a)
+
+| Span Name                    | Location           | Key Attributes                                                                     |
+| ---------------------------- | ------------------ | ---------------------------------------------------------------------------------- |
+| `consensus.round`            | `RCLConsensus.cpp` | `round_id`, `ledger_id`, `ledger.seq`, `mode`; link → prev round                   |
+| `consensus.establish`        | `Consensus.h`      | `converge_percent`, `establish_count`, `proposers`                                 |
+| `consensus.update_positions` | `Consensus.h`      | `disputes_count`, `converge_percent`, `proposers_agreed`, `proposers_total`        |
+| `consensus.check`            | `Consensus.h`      | `agree_count`, `disagree_count`, `converge_percent`, `result`, `threshold_percent` |
+| `consensus.mode_change`      | `RCLConsensus.cpp` | `mode.old`, `mode.new`                                                             |
+
+### New Events (Phase 4a)
+
+| Event Name        | Parent Span                  | Attributes                          |
+| ----------------- | ---------------------------- | ----------------------------------- |
+| `dispute.resolve` | `consensus.update_positions` | `tx_id`, `our_vote`, `yays`, `nays` |
+
+### New Attributes (Phase 4a)
+
+```cpp
+// Round-level (on consensus.round)
+"xrpl.consensus.round_id"              = int64    // Consensus round number
+"xrpl.consensus.ledger_id"             = string   // previousLedger.id() hash
+"xrpl.consensus.trace_strategy"        = string   // "deterministic" or "attribute"
+
+// Establish-level
+"xrpl.consensus.converge_percent"      = int64    // Convergence % (0-100+)
+"xrpl.consensus.establish_count"       = int64    // Number of establish iterations
+"xrpl.consensus.disputes_count"        = int64    // Active disputes
+"xrpl.consensus.proposers_agreed"      = int64    // Peers agreeing with us
+"xrpl.consensus.proposers_total"       = int64    // Total peer positions
+"xrpl.consensus.agree_count"           = int64    // Peers that agree (haveConsensus)
+"xrpl.consensus.disagree_count"        = int64    // Peers that disagree
+"xrpl.consensus.threshold_percent"     = int64    // Current threshold (50/65/70/95)
+"xrpl.consensus.result"                = string   // "yes", "no", "moved_on"
+
+// Mode change
+"xrpl.consensus.mode.old"              = string   // Previous mode
+"xrpl.consensus.mode.new"              = string   // New mode
+```
+
+### Implementation Notes
+
+- **Separation of concerns**: All non-trivial telemetry code extracted to private
+  helpers (`startRoundTracing`, `createValidationSpan`, `startEstablishTracing`,
+  `updateEstablishTracing`, `endEstablishTracing`). Business logic methods contain
+  only single-line `#ifdef` blocks calling these helpers.
+- **Thread safety**: `createValidationSpan()` runs on the jtACCEPT worker thread.
+  Instead of accessing `roundSpan_` across threads, a `roundSpanContext_` snapshot
+  (lightweight `SpanContext` value type) is captured on the consensus thread in
+  `startRoundTracing()` and read by `createValidationSpan()`. The job queue
+  provides the happens-before guarantee.
+- **Macro safety**: `XRPL_TRACE_ADD_EVENT` uses `do { } while (0)` to prevent
+  dangling-else issues.
+- **Config validation**: `consensus_trace_strategy` is validated to be either
+  `"deterministic"` or `"attribute"`, falling back to `"deterministic"` for
+  unrecognised values.
+- **Plan deviation**: `roundSpan_` is stored in `RCLConsensus::Adaptor` (not
+  `Consensus.h`) because the adaptor has access to telemetry config and can
+  implement the deterministic trace ID strategy. `establishSpan_` is correctly
+  in `Consensus.h` as planned.
+
+---
+
+# Phase 4b: Cross-Node Propagation (Future — Documentation Only)
+
+> **Goal**: Wire `TraceContextPropagator` for P2P messages so that proposals
+> and validations carry trace context between nodes. This enables true
+> distributed tracing where a proposal sent by Node A creates a child span
+> on Node B.
+>
+> **Status**: NOT IMPLEMENTED. The protobuf fields and propagator class exist
+> but are not wired. This section documents the design for future work.
+
+## Architecture
+
+```
+Node A (proposing)                         Node B (receiving)
+─────────────────                         ──────────────────
+consensus.round                           consensus.round
+├── propose()                             ├── peerProposal()
+│   └── TraceContextPropagator            │   └── TraceContextPropagator
+│       ::injectToProtobuf(               │       ::extractFromProtobuf(
+│           TMProposeSet.trace_context)   │           TMProposeSet.trace_context)
+│                                         │   └── span link → Node A's context
+└── validate()                            └── onValidation()
+    └── inject into TMValidation              └── extract from TMValidation
+```
+
+## Wiring Points
+
+| Message         | Inject Location                    | Extract Location                    | Protobuf Field             |
+| --------------- | ---------------------------------- | ----------------------------------- | -------------------------- |
+| `TMProposeSet`  | `Adaptor::propose()`               | `PeerImp::onMessage(TMProposeSet)`  | field 1001: `TraceContext` |
+| `TMValidation`  | `Adaptor::validate()`              | `PeerImp::onMessage(TMValidation)`  | field 1001: `TraceContext` |
+| `TMTransaction` | `NetworkOPs::processTransaction()` | `PeerImp::onMessage(TMTransaction)` | field 1001: `TraceContext` |
+
+## Span Link Semantics
+
+Received messages use **span links** (follows-from), NOT parent-child:
+
+- The receiver's processing span links to the sender's context
+- This preserves each node's independent trace tree
+- Cross-node correlation visible via linked traces in Tempo/Jaeger
+
+## Interaction with Deterministic Trace ID (Strategy A)
+
+When using deterministic trace_id (Phase 4a default), cross-node spans already
+share the same trace_id. P2P propagation adds **span-level** linking:
+
+- Without propagation: spans from different nodes appear in the same trace
+  (same trace_id) but without parent-child or follows-from relationships.
+- With propagation: spans have explicit links showing which proposal/validation
+  from Node A caused processing on Node B.
+
+## Prerequisites
+
+- Phase 4a (this task list) — establish phase tracing must be in place
+- `TraceContextPropagator` class (already exists in
+  `include/xrpl/telemetry/TraceContextPropagator.h`)
+- Protobuf `TraceContext` message (already exists, field 1001)
--- a/OpenTelemetryPlan/Phase5_IntegrationTest_taskList.md
+++ b/OpenTelemetryPlan/Phase5_IntegrationTest_taskList.md
@@ -0,0 +1,221 @@
+# Phase 5: Integration Test Task List
+
+> **Goal**: End-to-end verification of the complete telemetry pipeline using a
+> 6-node consensus network. Proves that RPC, transaction, and consensus spans
+> flow through the observability stack (otel-collector, Jaeger, Prometheus,
+> Grafana) under realistic conditions.
+>
+> **Scope**: Integration test script, manual testing plan, 6-node local network
+> setup, Jaeger/Prometheus/Grafana verification.
+>
+> **Branch**: `pratik/otel-phase5-docs-deployment`
+
+### Related Plan Documents
+
+| Document                                                         | Relevance                                  |
+| ---------------------------------------------------------------- | ------------------------------------------ |
+| [07-observability-backends.md](./07-observability-backends.md)   | Jaeger, Grafana, Prometheus setup          |
+| [05-configuration-reference.md](./05-configuration-reference.md) | Collector config, Docker Compose           |
+| [06-implementation-phases.md](./06-implementation-phases.md)     | Phase 5 tasks, definition of done          |
+| [Phase5_taskList.md](./Phase5_taskList.md)                       | Phase 5 main task list (5.6 = integration) |
+
+---
+
+## Task IT.1: Create Integration Test Script
+
+**Objective**: Automated bash script that stands up a 6-node xrpld network
+with telemetry, exercises all span categories, and verifies data in
+Jaeger/Prometheus.
+
+**What to do**:
+
+- Create `docker/telemetry/integration-test.sh`:
+  - Prerequisites check (docker, xrpld binary, curl, jq)
+  - Start observability stack via `docker compose`
+  - Generate 6 validator key pairs via temp standalone xrpld
+  - Generate 6 node configs + shared `validators.txt`
+  - Start 6 xrpld nodes in consensus mode (`--start`, no `-a`)
+  - Wait for all nodes to reach `"proposing"` state (120s timeout)
+
+**Key new file**: `docker/telemetry/integration-test.sh`
+
+**Verification**:
+
+- [ ] Script starts without errors
+- [ ] All 6 nodes reach "proposing" state
+- [ ] Observability stack is healthy (otel-collector, Jaeger, Prometheus, Grafana)
+
+---
+
+## Task IT.2: RPC Span Verification (Phase 2)
+
+**Objective**: Verify RPC spans flow through the telemetry pipeline.
+
+**What to do**:
+
+- Send `server_info`, `server_state`, `ledger` RPCs to node1 (port 5005)
+- Wait for batch export (5s)
+- Query Jaeger API for:
+  - `rpc.request` spans (ServerHandler::onRequest)
+  - `rpc.process` spans (ServerHandler::processRequest)
+  - `rpc.command.server_info` spans (callMethod)
+  - `rpc.command.server_state` spans (callMethod)
+  - `rpc.command.ledger` spans (callMethod)
+- Verify `xrpl.rpc.command` attribute present on `rpc.command.*` spans
+
+**Verification**:
+
+- [ ] Jaeger shows `rpc.request` traces
+- [ ] Jaeger shows `rpc.process` traces
+- [ ] Jaeger shows `rpc.command.*` traces with correct attributes
+
+---
+
+## Task IT.3: Transaction Span Verification (Phase 3)
+
+**Objective**: Verify transaction spans flow through the telemetry pipeline.
+
+**What to do**:
+
+- Get genesis account sequence via `account_info` RPC
+- Submit Payment transaction using genesis seed (`snoPBrXtMeMyMHUVTgbuqAfg1SUTb`)
+- Wait for consensus inclusion (10s)
+- Query Jaeger API for:
+  - `tx.process` spans (NetworkOPsImp::processTransaction) on submitting node
+  - `tx.receive` spans (PeerImp::handleTransaction) on peer nodes
+- Verify `xrpl.tx.hash` attribute on `tx.process` spans
+- Verify `xrpl.peer.id` attribute on `tx.receive` spans
+
+**Verification**:
+
+- [ ] Jaeger shows `tx.process` traces with `xrpl.tx.hash`
+- [ ] Jaeger shows `tx.receive` traces with `xrpl.peer.id`
+
+---
+
+## Task IT.4: Consensus Span Verification (Phase 4)
+
+**Objective**: Verify consensus spans flow through the telemetry pipeline.
+
+**What to do**:
+
+- Consensus runs automatically in 6-node network
+- Query Jaeger API for:
+  - `consensus.proposal.send` (Adaptor::propose)
+  - `consensus.ledger_close` (Adaptor::onClose)
+  - `consensus.accept` (Adaptor::onAccept)
+  - `consensus.validation.send` (Adaptor::validate)
+- Verify attributes:
+  - `xrpl.consensus.mode` on `consensus.ledger_close`
+  - `xrpl.consensus.proposers` on `consensus.accept`
+  - `xrpl.consensus.ledger.seq` on `consensus.validation.send`
+
+**Verification**:
+
+- [ ] Jaeger shows `consensus.ledger_close` traces with `xrpl.consensus.mode`
+- [ ] Jaeger shows `consensus.accept` traces with `xrpl.consensus.proposers`
+- [ ] Jaeger shows `consensus.proposal.send` traces
+- [ ] Jaeger shows `consensus.validation.send` traces
+
+---
+
+## Task IT.5: Spanmetrics Verification (Phase 5)
+
+**Objective**: Verify spanmetrics connector derives RED metrics from spans.
+
+**What to do**:
+
+- Query Prometheus for `traces_span_metrics_calls_total`
+- Query Prometheus for `traces_span_metrics_duration_milliseconds_count`
+- Verify Grafana loads at `http://localhost:3000`
+
+**Verification**:
+
+- [ ] Prometheus returns non-empty results for `traces_span_metrics_calls_total`
+- [ ] Prometheus returns non-empty results for duration histogram
+- [ ] Grafana UI accessible with dashboards visible
+
+---
+
+## Task IT.6: Manual Testing Plan
+
+**Objective**: Document how to run tests manually for future reference.
+
+**What to do**:
+
+- Create `docker/telemetry/TESTING.md` with:
+  - Prerequisites section
+  - Single-node standalone test (quick verification)
+  - 6-node consensus test (full verification)
+  - Expected span catalog (all 12 span names with attributes)
+  - Verification queries (Jaeger API, Prometheus API)
+  - Troubleshooting guide
+
+**Key new file**: `docker/telemetry/TESTING.md`
+
+**Verification**:
+
+- [ ] Document covers both single-node and multi-node testing
+- [ ] All 12 span names documented with source file and attributes
+- [ ] Troubleshooting section covers common failure modes
+
+---
+
+## Task IT.7: Run and Verify
+
+**Objective**: Execute the integration test and validate results.
+
+**What to do**:
+
+- Run `docker/telemetry/integration-test.sh` locally
+- Debug any failures
+- Leave stack running for manual verification
+- Share URLs:
+  - Jaeger: `http://localhost:16686`
+  - Grafana: `http://localhost:3000`
+  - Prometheus: `http://localhost:9090`
+
+**Verification**:
+
+- [ ] Script completes with all checks passing
+- [ ] Jaeger UI shows rippled service with all expected span names
+- [ ] Grafana dashboards load and show data
+
+---
+
+## Task IT.8: Commit
+
+**Objective**: Commit all new files to Phase 5 branch.
+
+**What to do**:
+
+- Run `pcc` (pre-commit checks)
+- Commit 3 new files to `pratik/otel-phase5-docs-deployment`
+
+**Verification**:
+
+- [ ] `pcc` passes
+- [ ] Commit created on Phase 5 branch
+
+---
+
+## Summary
+
+| Task | Description                   | New Files | Depends On |
+| ---- | ----------------------------- | --------- | ---------- |
+| IT.1 | Integration test script       | 1         | Phase 5    |
+| IT.2 | RPC span verification         | 0         | IT.1       |
+| IT.3 | Transaction span verification | 0         | IT.1       |
+| IT.4 | Consensus span verification   | 0         | IT.1       |
+| IT.5 | Spanmetrics verification      | 0         | IT.1       |
+| IT.6 | Manual testing plan           | 1         | --         |
+| IT.7 | Run and verify                | 0         | IT.1-IT.6  |
+| IT.8 | Commit                        | 0         | IT.7       |
+
+**Exit Criteria**:
+
+- [ ] All 6 xrpld nodes reach "proposing" state
+- [ ] All 11 expected span names visible in Jaeger
+- [ ] Spanmetrics available in Prometheus
+- [ ] Grafana dashboards show data
+- [ ] Manual testing plan document complete
--- a/OpenTelemetryPlan/Phase5_taskList.md
+++ b/OpenTelemetryPlan/Phase5_taskList.md
@@ -0,0 +1,241 @@
+# Phase 5: Documentation & Deployment Task List
+
+> **Goal**: Production readiness — Grafana dashboards, spanmetrics pipeline, operator runbook, alert definitions, and final integration testing. This phase ensures the telemetry system is useful and maintainable in production.
+>
+> **Scope**: Grafana dashboard definitions, OTel Collector spanmetrics connector, Prometheus integration, alert rules, operator documentation, and production-ready Docker Compose stack.
+>
+> **Branch**: `pratik/otel-phase5-docs-deployment` (from `pratik/otel-phase4-consensus-tracing`)
+
+### Related Plan Documents
+
+| Document                                                         | Relevance                                                                  |
+| ---------------------------------------------------------------- | -------------------------------------------------------------------------- |
+| [07-observability-backends.md](./07-observability-backends.md)   | Jaeger setup (§7.1), Grafana dashboards (§7.6), alerts (§7.6.3)            |
+| [05-configuration-reference.md](./05-configuration-reference.md) | Collector config (§5.5), production config (§5.5.2), Docker Compose (§5.6) |
+| [06-implementation-phases.md](./06-implementation-phases.md)     | Phase 5 tasks (§6.6), definition of done (§6.11.5)                         |
+
+---
+
+## Task 5.1: Add Spanmetrics Connector to OTel Collector
+
+**Objective**: Derive RED metrics (Rate, Errors, Duration) from trace spans automatically, enabling Grafana time-series dashboards.
+
+**What to do**:
+
+- Edit `docker/telemetry/otel-collector-config.yaml`:
+  - Add `spanmetrics` connector:
+    ```yaml
+    connectors:
+      spanmetrics:
+        histogram:
+          explicit:
+            buckets: [1ms, 5ms, 10ms, 25ms, 50ms, 100ms, 250ms, 500ms, 1s, 5s]
+        dimensions:
+          - name: xrpl.rpc.command
+          - name: xrpl.rpc.status
+          - name: xrpl.consensus.phase
+          - name: xrpl.tx.type
+    ```
+  - Add `prometheus` exporter:
+    ```yaml
+    exporters:
+      prometheus:
+        endpoint: 0.0.0.0:8889
+    ```
+  - Wire the pipeline:
+    ```yaml
+    service:
+      pipelines:
+        traces:
+          receivers: [otlp]
+          processors: [batch]
+          exporters: [debug, otlp/jaeger, spanmetrics]
+        metrics:
+          receivers: [spanmetrics]
+          exporters: [prometheus]
+    ```
+
+- Edit `docker/telemetry/docker-compose.yml`:
+  - Expose port `8889` on the collector for Prometheus scraping
+  - Add Prometheus service
+  - Add Prometheus as Grafana datasource
+
+**Key modified files**:
+
+- `docker/telemetry/otel-collector-config.yaml`
+- `docker/telemetry/docker-compose.yml`
+
+**Key new files**:
+
+- `docker/telemetry/prometheus.yml` (Prometheus scrape config)
+- `docker/telemetry/grafana/provisioning/datasources/prometheus.yaml`
+
+**Reference**:
+
+- [POC_taskList.md §Next Steps](./POC_taskList.md) — Metrics pipeline for Grafana dashboards
+
+---
+
+## Task 5.2: Create Grafana Dashboards
+
+**Objective**: Provide pre-built Grafana dashboards for RPC performance, transaction lifecycle, and consensus health.
+
+**What to do**:
+
+- Create `docker/telemetry/grafana/provisioning/dashboards/dashboards.yaml` (provisioning config)
+- Create dashboard JSON files:
+  1. **RPC Performance Dashboard** (`rpc-performance.json`):
+     - RPC request latency (p50/p95/p99) by command — histogram panel
+     - RPC throughput (requests/sec) by command — time series
+     - RPC error rate by command — bar gauge
+     - Top slowest RPC commands — table
+
+  2. **Transaction Overview Dashboard** (`transaction-overview.json`):
+     - Transaction processing rate — time series
+     - Transaction latency distribution — histogram
+     - Suppression rate (duplicates) — stat panel
+     - Transaction processing path (sync vs async) — pie chart
+
+  3. **Consensus Health Dashboard** (`consensus-health.json`):
+     - Consensus round duration — time series
+     - Phase duration breakdown (open/establish/accept) — stacked bar
+     - Proposals sent/received per round — stat panel
+     - Consensus mode distribution (proposing/observing) — pie chart
+
+- Store dashboards in `docker/telemetry/grafana/dashboards/`
+
+**Key new files**:
+
+- `docker/telemetry/grafana/provisioning/dashboards/dashboards.yaml`
+- `docker/telemetry/grafana/dashboards/rpc-performance.json`
+- `docker/telemetry/grafana/dashboards/transaction-overview.json`
+- `docker/telemetry/grafana/dashboards/consensus-health.json`
+
+**Reference**:
+
+- [07-observability-backends.md §7.6](./07-observability-backends.md) — Grafana dashboard specifications
+- [01-architecture-analysis.md §1.8.3](./01-architecture-analysis.md) — Dashboard panel examples
+
+---
+
+## Task 5.3: Define Alert Rules
+
+**Objective**: Create alert definitions for key telemetry anomalies.
+
+**What to do**:
+
+- Create `docker/telemetry/grafana/provisioning/alerting/alerts.yaml`:
+  - **RPC Latency Alert**: p99 latency > 1s for any command over 5 minutes
+  - **RPC Error Rate Alert**: Error rate > 5% for any command over 5 minutes
+  - **Consensus Duration Alert**: Round duration > 10s (warn), > 30s (critical)
+  - **Transaction Processing Alert**: Processing rate drops below threshold
+  - **Telemetry Pipeline Health**: No spans received for > 2 minutes
+
+**Key new files**:
+
+- `docker/telemetry/grafana/provisioning/alerting/alerts.yaml`
+
+**Reference**:
+
+- [07-observability-backends.md §7.6.3](./07-observability-backends.md) — Alert rule definitions
+
+---
+
+## Task 5.4: Production Collector Configuration
+
+**Objective**: Create a production-ready OTel Collector configuration with tail-based sampling and resource limits.
+
+**What to do**:
+
+- Create `docker/telemetry/otel-collector-config-production.yaml`:
+  - Tail-based sampling policy:
+    - Always sample errors and slow traces
+    - 10% base sampling rate for normal traces
+    - Always sample first trace for each unique RPC command
+  - Resource limits:
+    - Memory limiter processor (80% of available memory)
+    - Queued retry for export failures
+  - TLS configuration for production endpoints
+  - Health check endpoint
+
+**Key new files**:
+
+- `docker/telemetry/otel-collector-config-production.yaml`
+
+**Reference**:
+
+- [05-configuration-reference.md §5.5.2](./05-configuration-reference.md) — Production collector config
+
+---
+
+## Task 5.5: Operator Runbook
+
+**Objective**: Create operator documentation for managing the telemetry system in production.
+
+**What to do**:
+
+- Create `docs/telemetry-runbook.md`:
+  - **Setup**: How to enable telemetry in rippled
+  - **Configuration**: All config options with descriptions
+  - **Collector Deployment**: Docker Compose vs. Kubernetes vs. bare metal
+  - **Troubleshooting**: Common issues and resolutions
+    - No traces appearing
+    - High memory usage from telemetry
+    - Collector connection failures
+    - Sampling configuration tuning
+  - **Performance Tuning**: Batch size, queue size, sampling ratio guidelines
+  - **Upgrading**: How to upgrade OTel SDK and Collector versions
+
+**Key new files**:
+
+- `docs/telemetry-runbook.md`
+
+---
+
+## Task 5.6: Final Integration Testing
+
+**Objective**: Validate the complete telemetry stack end-to-end.
+
+**What to do**:
+
+1. Start full Docker stack (Collector, Jaeger, Grafana, Prometheus)
+2. Build rippled with `telemetry=ON`
+3. Run in standalone mode with telemetry enabled
+4. Generate RPC traffic and verify traces in Jaeger
+5. Verify dashboards populate in Grafana
+6. Verify alerts trigger correctly
+7. Test telemetry OFF path (no regressions)
+8. Run full test suite
+
+**Verification Checklist**:
+
+- [ ] Docker stack starts without errors
+- [ ] Traces appear in Jaeger with correct hierarchy
+- [ ] Grafana dashboards show metrics derived from spans
+- [ ] Prometheus scrapes spanmetrics successfully
+- [ ] Alerts can be triggered by simulated conditions
+- [ ] Build succeeds with telemetry ON and OFF
+- [ ] Full test suite passes
+
+---
+
+## Summary
+
+| Task | Description                        | New Files | Modified Files | Depends On |
+| ---- | ---------------------------------- | --------- | -------------- | ---------- |
+| 5.1  | Spanmetrics connector + Prometheus | 2         | 2              | Phase 4    |
+| 5.2  | Grafana dashboards                 | 4         | 0              | 5.1        |
+| 5.3  | Alert definitions                  | 1         | 0              | 5.1        |
+| 5.4  | Production collector config        | 1         | 0              | Phase 4    |
+| 5.5  | Operator runbook                   | 1         | 0              | Phase 4    |
+| 5.6  | Final integration testing          | 0         | 0              | 5.1-5.5    |
+
+**Parallel work**: Tasks 5.1, 5.4, and 5.5 can run in parallel. Tasks 5.2 and 5.3 depend on 5.1. Task 5.6 depends on all others.
+
+**Exit Criteria** (from [06-implementation-phases.md §6.11.5](./06-implementation-phases.md)):
+
+- [ ] Dashboards deployed and showing data
+- [ ] Alerts configured and tested
+- [ ] Operator documentation complete
+- [ ] Production collector config ready
+- [ ] Full test suite passes
--- a/OpenTelemetryPlan/Phase7_taskList.md
+++ b/OpenTelemetryPlan/Phase7_taskList.md
@@ -0,0 +1,254 @@
+# Phase 7: Native OTel Metrics Migration — Task List
+
+> **Goal**: Replace `StatsDCollector` with a native OpenTelemetry Metrics SDK implementation behind the existing `beast::insight::Collector` interface, eliminating the StatsD UDP dependency.
+>
+> **Scope**: New `OTelCollectorImpl` class, `CollectorManager` config change, OTel Collector pipeline update, Grafana dashboard metric name migration, integration tests.
+>
+> **Branch**: `pratik/otel-phase7-native-metrics` (from `pratik/otel-phase6-statsd`)
+
+### Related Plan Documents
+
+| Document                                                             | Relevance                                                       |
+| -------------------------------------------------------------------- | --------------------------------------------------------------- |
+| [06-implementation-phases.md](./06-implementation-phases.md)         | Phase 7 plan: motivation, architecture, exit criteria (§6.8)    |
+| [02-design-decisions.md](./02-design-decisions.md)                   | Collector interface design, beast::insight coexistence strategy |
+| [05-configuration-reference.md](./05-configuration-reference.md)     | `[insight]` and `[telemetry]` config sections                   |
+| [09-data-collection-reference.md](./09-data-collection-reference.md) | Complete metric inventory that must be preserved                |
+
+---
+
+## Task 7.1: Add OTel Metrics SDK to Build Dependencies
+
+**Objective**: Enable the OTel C++ Metrics SDK components in the build system.
+
+**What to do**:
+
+- Edit `conanfile.py`:
+  - Add OTel metrics SDK components to the dependency list when `telemetry=True`
+  - Components needed: `opentelemetry-cpp::metrics`, `opentelemetry-cpp::otlp_http_metric_exporter`
+
+- Edit `CMakeLists.txt` (telemetry section):
+  - Link `opentelemetry::metrics` and `opentelemetry::otlp_http_metric_exporter` targets
+
+**Key modified files**:
+
+- `conanfile.py`
+- `CMakeLists.txt` (or the relevant telemetry cmake target)
+
+**Reference**: [05-configuration-reference.md §5.3](./05-configuration-reference.md) — CMake integration
+
+---
+
+## Task 7.2: Implement OTelCollector Class
+
+**Objective**: Create the core `OTelCollector` implementation that maps beast::insight instruments to OTel Metrics SDK instruments.
+
+**What to do**:
+
+- Create `include/xrpl/beast/insight/OTelCollector.h`:
+  - Public factory: `static std::shared_ptr<OTelCollector> New(std::string const& endpoint, std::string const& prefix, beast::Journal journal)`
+  - Derives from `StatsDCollector` (or directly from `Collector` — TBD based on shared code)
+
+- Create `src/libxrpl/beast/insight/OTelCollector.cpp` (~400-500 lines):
+  - **OTelCounterImpl**: Wraps `opentelemetry::metrics::Counter<int64_t>`. `increment(amount)` calls `counter->Add(amount)`.
+  - **OTelGaugeImpl**: Uses `opentelemetry::metrics::ObservableGauge<uint64_t>` with an async callback. `set(value)` stores value atomically; callback reads it during collection.
+  - **OTelMeterImpl**: Wraps `opentelemetry::metrics::Counter<uint64_t>`. `increment(amount)` calls `counter->Add(amount)`. Semantically identical to Counter but unsigned.
+  - **OTelEventImpl**: Wraps `opentelemetry::metrics::Histogram<double>`. `notify(duration)` calls `histogram->Record(duration.count())`. Uses explicit bucket boundaries matching SpanMetrics: [1, 5, 10, 25, 50, 100, 250, 500, 1000, 5000] ms.
+  - **OTelHookImpl**: Stores handler function. Called during periodic metric collection (same 1s pattern via PeriodicMetricReader).
+  - **OTelCollectorImp**: Main class.
+    - Creates `MeterProvider` with `PeriodicMetricReader` (1s export interval)
+    - Creates `OtlpHttpMetricExporter` pointing to `[telemetry]` endpoint
+    - Sets resource attributes (service.name, service.instance.id) matching trace exporter
+    - Implements all `make_*()` factory methods
+    - Prefixes metric names with `[insight] prefix=` value
+
+- Guard all OTel SDK includes with `#ifdef XRPL_ENABLE_TELEMETRY` to compile to `NullCollector` equivalents when telemetry disabled.
+
+**Key new files**:
+
+- `include/xrpl/beast/insight/OTelCollector.h`
+- `src/libxrpl/beast/insight/OTelCollector.cpp`
+
+**Key patterns to follow**:
+
+- Match `StatsDCollector.cpp` structure: private impl classes, intrusive list for metrics, strand-based thread safety
+- Match existing telemetry code style from `src/libxrpl/telemetry/Telemetry.cpp`
+- Use RAII for MeterProvider lifecycle (shutdown on destructor)
+
+**Reference**: [04-code-samples.md](./04-code-samples.md) — code style and patterns
+
+---
+
+## Task 7.3: Update CollectorManager
+
+**Objective**: Add `server=otel` config option to route metric creation to the new OTel backend.
+
+**What to do**:
+
+- Edit `src/xrpld/app/main/CollectorManager.cpp`:
+  - In the constructor, add a third branch after `server == "statsd"`:
+    ```cpp
+    else if (server == "otel")
+    {
+        // Read endpoint from [telemetry] section
+        auto const endpoint = get(telemetryParams, "endpoint",
+            "http://localhost:4318/v1/metrics");
+        std::string const& prefix(get(params, "prefix"));
+        m_collector = beast::insight::OTelCollector::New(
+            endpoint, prefix, journal);
+    }
+    ```
+  - This requires access to the `[telemetry]` config section — may need to pass it as a parameter or read from Application config.
+
+- Edit `src/xrpld/app/main/CollectorManager.h`:
+  - Add `#include <xrpl/beast/insight/OTelCollector.h>`
+
+**Key modified files**:
+
+- `src/xrpld/app/main/CollectorManager.cpp`
+- `src/xrpld/app/main/CollectorManager.h`
+
+---
+
+## Task 7.4: Update OTel Collector Configuration
+
+**Objective**: Add a metrics pipeline to the OTLP receiver and remove the StatsD receiver dependency.
+
+**What to do**:
+
+- Edit `docker/telemetry/otel-collector-config.yaml`:
+  - Remove `statsd` receiver (no longer needed when `server=otel`)
+  - Add metrics pipeline under `service.pipelines`:
+    ```yaml
+    metrics:
+      receivers: [otlp, spanmetrics]
+      processors: [batch]
+      exporters: [prometheus]
+    ```
+  - The OTLP receiver already listens on :4318 — it just needs to be added to the metrics pipeline receivers.
+  - Keep `spanmetrics` connector in the metrics pipeline so span-derived RED metrics continue working.
+
+- Edit `docker/telemetry/docker-compose.yml`:
+  - Remove UDP :8125 port mapping from otel-collector service
+  - Update rippled service config: change `[insight] server=statsd` to `server=otel`
+
+**Key modified files**:
+
+- `docker/telemetry/otel-collector-config.yaml`
+- `docker/telemetry/docker-compose.yml`
+
+**Note**: Keep a commented-out `statsd` receiver block for operators who need backward compatibility.
+
+---
+
+## Task 7.5: Preserve Metric Names in Prometheus
+
+**Objective**: Ensure existing Grafana dashboards continue working with identical metric names.
+
+**What to do**:
+
+- In `OTelCollector.cpp`, construct OTel instrument names to match existing Prometheus metric names:
+  - beast::insight `make_gauge("LedgerMaster", "Validated_Ledger_Age")` → OTel instrument name: `rippled_LedgerMaster_Validated_Ledger_Age`
+  - The prefix + group + name concatenation must produce the same string as `StatsDCollector`'s format
+  - Use underscores as separators (matching StatsD convention)
+
+- Verify in integration test that key Prometheus queries still return data:
+  - `rippled_LedgerMaster_Validated_Ledger_Age`
+  - `rippled_Peer_Finder_Active_Inbound_Peers`
+  - `rippled_rpc_requests`
+
+**Key consideration**: OTel Prometheus exporter may normalize metric names differently than StatsD receiver. Test this early (Task 7.2) and adjust naming strategy if needed. The OTel SDK's Prometheus exporter adds `_total` suffix to counters and converts dots to underscores — match existing conventions.
+
+---
+
+## Task 7.6: Update Grafana Dashboards
+
+**Objective**: Update the 3 StatsD dashboards if any metric names change due to OTLP export format differences.
+
+**What to do**:
+
+- If Task 7.5 confirms metric names are preserved exactly, no dashboard changes needed.
+- If OTLP export produces different names (e.g., `_total` suffix on counters), update:
+  - `docker/telemetry/grafana/dashboards/statsd-node-health.json`
+  - `docker/telemetry/grafana/dashboards/statsd-network-traffic.json`
+  - `docker/telemetry/grafana/dashboards/statsd-rpc-pathfinding.json`
+- Rename dashboard titles from "StatsD" to "System Metrics" or similar (since they're no longer StatsD-sourced).
+
+**Key modified files**:
+
+- `docker/telemetry/grafana/dashboards/statsd-*.json` (3 files, conditionally)
+
+---
+
+## Task 7.7: Update Integration Tests
+
+**Objective**: Verify the full OTLP metrics pipeline end-to-end.
+
+**What to do**:
+
+- Edit `docker/telemetry/integration-test.sh`:
+  - Update test config to use `[insight] server=otel`
+  - Verify metrics arrive in Prometheus via OTLP (not StatsD)
+  - Add check that StatsD receiver is no longer required
+  - Preserve all existing metric presence checks
+
+**Key modified files**:
+
+- `docker/telemetry/integration-test.sh`
+
+---
+
+## Task 7.8: Update Documentation
+
+**Objective**: Update all plan docs, runbook, and reference docs to reflect the migration.
+
+**What to do**:
+
+- Edit `docs/telemetry-runbook.md`:
+  - Update `[insight]` config examples to show `server=otel`
+  - Update troubleshooting section (no more StatsD UDP debugging)
+
+- Edit `OpenTelemetryPlan/09-data-collection-reference.md`:
+  - Update Data Flow Overview diagram (remove StatsD receiver)
+  - Update Section 2 header from "StatsD Metrics" to "System Metrics (OTel native)"
+  - Update config examples
+
+- Edit `OpenTelemetryPlan/05-configuration-reference.md`:
+  - Add `server=otel` option to `[insight]` section docs
+
+- Edit `docker/telemetry/TESTING.md`:
+  - Update setup instructions to use `server=otel`
+
+**Key modified files**:
+
+- `docs/telemetry-runbook.md`
+- `OpenTelemetryPlan/09-data-collection-reference.md`
+- `OpenTelemetryPlan/05-configuration-reference.md`
+- `docker/telemetry/TESTING.md`
+
+---
+
+## Summary Table
+
+| Task | Description                            | New Files | Modified Files | Depends On |
+| ---- | -------------------------------------- | --------- | -------------- | ---------- |
+| 7.1  | Add OTel Metrics SDK to build deps     | 0         | 2              | —          |
+| 7.2  | Implement OTelCollector class          | 2         | 0              | 7.1        |
+| 7.3  | Update CollectorManager config routing | 0         | 2              | 7.2        |
+| 7.4  | Update OTel Collector YAML and Docker  | 0         | 2              | 7.3        |
+| 7.5  | Preserve metric names in Prometheus    | 0         | 1              | 7.2        |
+| 7.6  | Update Grafana dashboards (if needed)  | 0         | 3              | 7.5        |
+| 7.7  | Update integration tests               | 0         | 1              | 7.4        |
+| 7.8  | Update documentation                   | 0         | 4              | 7.6        |
+
+**Parallel work**: Tasks 7.4 and 7.5 can run in parallel after 7.2/7.3 complete. Task 7.6 depends on 7.5's findings. Tasks 7.7 and 7.8 can run in parallel after 7.6.
+
+**Exit Criteria** (from [06-implementation-phases.md §6.8](./06-implementation-phases.md)):
+
+- [ ] All 255+ metrics visible in Prometheus via OTLP pipeline (no StatsD receiver)
+- [ ] `server=otel` is the default in development docker-compose
+- [ ] `server=statsd` still works as a fallback
+- [ ] Existing Grafana dashboards display data correctly
+- [ ] Integration test passes with OTLP-only metrics pipeline
+- [ ] No performance regression vs StatsD baseline (< 1% CPU overhead)
+- [ ] Deferred Task 6.1 (`|m` wire format) no longer relevant — Meter mapped to OTel Counter
--- a/OpenTelemetryPlan/Phase8_taskList.md
+++ b/OpenTelemetryPlan/Phase8_taskList.md
@@ -0,0 +1,232 @@
+# Phase 8: Log-Trace Correlation and Centralized Log Ingestion — Task List
+
+> **Goal**: Inject trace context (trace_id, span_id) into rippled's Journal log output for log-trace correlation, and add OTel Collector filelog receiver to ingest logs into Grafana Loki for unified observability.
+>
+> **Scope**: Two independent sub-phases — 8a (code change: trace_id in logs) and 8b (infra only: filelog receiver to Loki). No changes to the `beast::Journal` public API.
+>
+> **Branch**: `pratik/otel-phase8-log-correlation` (from `pratik/otel-phase7-native-metrics`)
+
+### Related Plan Documents
+
+| Document                                                         | Relevance                                                      |
+| ---------------------------------------------------------------- | -------------------------------------------------------------- |
+| [06-implementation-phases.md](./06-implementation-phases.md)     | Phase 8 plan: motivation, architecture, exit criteria (§6.8.1) |
+| [07-observability-backends.md](./07-observability-backends.md)   | Loki backend recommendation, Grafana data source provisioning  |
+| [Phase7_taskList.md](./Phase7_taskList.md)                       | Prerequisite — native OTel metrics pipeline must be working    |
+| [05-configuration-reference.md](./05-configuration-reference.md) | `[telemetry]` config (trace_id injection toggle)               |
+
+---
+
+## Task 8.1: Inject trace_id into Logs::format()
+
+**Objective**: Add OTel trace context to every log line that is emitted within an active span.
+
+**What to do**:
+
+- Edit `src/libxrpl/basics/Log.cpp`:
+  - In `Logs::format()` (around line 346), after severity is appended, check for active OTel span:
+    ```cpp
+    #ifdef XRPL_ENABLE_TELEMETRY
+    auto span = opentelemetry::trace::GetSpan(
+        opentelemetry::context::RuntimeContext::GetCurrent());
+    auto ctx = span->GetContext();
+    if (ctx.IsValid())
+    {
+        // Append trace context as structured fields
+        char traceId[33], spanId[17];
+        ctx.trace_id().ToLowerBase16(traceId);
+        ctx.span_id().ToLowerBase16(spanId);
+        output += "trace_id=";
+        output.append(traceId, 32);
+        output += " span_id=";
+        output.append(spanId, 16);
+        output += ' ';
+    }
+    #endif
+    ```
+  - Add `#include` for OTel context headers, guarded by `#ifdef XRPL_ENABLE_TELEMETRY`
+
+- Edit `include/xrpl/basics/Log.h`:
+  - No changes needed — format() signature unchanged
+
+**Key modified files**:
+
+- `src/libxrpl/basics/Log.cpp`
+
+**Performance note**: `GetSpan()` and `GetContext()` are thread-local reads with no locking — measured at <10ns per call. With ~1000 JLOG calls/min, this adds <10us/min of overhead.
+
+---
+
+## Task 8.2: Add Loki to Docker Compose Stack
+
+**Objective**: Add Grafana Loki as a log storage backend in the development observability stack.
+
+**What to do**:
+
+- Edit `docker/telemetry/docker-compose.yml`:
+  - Add Loki service:
+    ```yaml
+    loki:
+      image: grafana/loki:2.9.0
+      ports:
+        - "3100:3100"
+      command: -config.file=/etc/loki/local-config.yaml
+    ```
+  - Add Loki as a Grafana data source in provisioning
+
+- Create `docker/telemetry/grafana/provisioning/datasources/loki.yaml`:
+  - Configure Loki data source with derived fields linking `trace_id` to Tempo
+
+**Key new files**:
+
+- `docker/telemetry/grafana/provisioning/datasources/loki.yaml`
+
+**Key modified files**:
+
+- `docker/telemetry/docker-compose.yml`
+
+---
+
+## Task 8.3: Add Filelog Receiver to OTel Collector
+
+**Objective**: Configure the OTel Collector to tail rippled's log file and export to Loki.
+
+**What to do**:
+
+- Edit `docker/telemetry/otel-collector-config.yaml`:
+  - Add `filelog` receiver:
+    ```yaml
+    receivers:
+      filelog:
+        include: [/var/log/rippled/debug.log]
+        operators:
+          - type: regex_parser
+            regex: '^(?P<timestamp>\S+)\s+(?P<partition>\S+):(?P<severity>\S+)\s+(?:trace_id=(?P<trace_id>[a-f0-9]+)\s+span_id=(?P<span_id>[a-f0-9]+)\s+)?(?P<message>.*)$'
+            timestamp:
+              parse_from: attributes.timestamp
+              layout: "%Y-%m-%dT%H:%M:%S.%fZ"
+    ```
+  - Add logs pipeline:
+    ```yaml
+    service:
+      pipelines:
+        logs:
+          receivers: [filelog]
+          processors: [batch]
+          exporters: [otlp/loki]
+    ```
+  - Add Loki exporter:
+    ```yaml
+    exporters:
+      otlp/loki:
+        endpoint: loki:3100
+        tls:
+          insecure: true
+    ```
+
+- Mount rippled's log directory into the collector container via docker-compose volume
+
+**Key modified files**:
+
+- `docker/telemetry/otel-collector-config.yaml`
+- `docker/telemetry/docker-compose.yml`
+
+---
+
+## Task 8.4: Configure Grafana Trace-to-Log Correlation
+
+**Objective**: Enable one-click navigation from Tempo traces to Loki logs in Grafana.
+
+**What to do**:
+
+- Edit Grafana Tempo data source provisioning to add `tracesToLogs` configuration:
+
+  ```yaml
+  tracesToLogs:
+    datasourceUid: loki
+    filterByTraceID: true
+    filterBySpanID: false
+    tags: ["partition", "severity"]
+  ```
+
+- Edit Grafana Loki data source provisioning to add `derivedFields` linking trace_id back to Tempo:
+  ```yaml
+  derivedFields:
+    - datasourceUid: tempo
+      matcherRegex: "trace_id=(\\w+)"
+      name: TraceID
+      url: "$${__value.raw}"
+  ```
+
+**Key modified files**:
+
+- `docker/telemetry/grafana/provisioning/datasources/loki.yaml`
+- `docker/telemetry/grafana/provisioning/datasources/` (Tempo data source file)
+
+---
+
+## Task 8.5: Update Integration Tests
+
+**Objective**: Verify trace_id appears in logs and Loki correlation works.
+
+**What to do**:
+
+- Edit `docker/telemetry/integration-test.sh`:
+  - After sending RPC requests (which create spans), grep rippled's log output for `trace_id=`
+  - Verify trace_id matches a trace visible in Jaeger
+  - Optionally: query Loki via API to confirm log ingestion
+
+**Key modified files**:
+
+- `docker/telemetry/integration-test.sh`
+
+---
+
+## Task 8.6: Update Documentation
+
+**Objective**: Document the log correlation feature in runbook and reference docs.
+
+**What to do**:
+
+- Edit `docs/telemetry-runbook.md`:
+  - Add "Log-Trace Correlation" section explaining how to use Grafana Tempo -> Loki linking
+  - Add LogQL query examples for filtering by trace_id
+
+- Edit `OpenTelemetryPlan/09-data-collection-reference.md`:
+  - Add new section "3. Log Correlation" between SpanMetrics and StatsD sections
+  - Document the log format with trace_id injection
+  - Document Loki as a new backend
+
+- Edit `docker/telemetry/TESTING.md`:
+  - Add log correlation verification steps
+
+**Key modified files**:
+
+- `docs/telemetry-runbook.md`
+- `OpenTelemetryPlan/09-data-collection-reference.md`
+- `docker/telemetry/TESTING.md`
+
+---
+
+## Summary Table
+
+| Task | Description                                | Sub-Phase | New Files | Modified Files | Depends On |
+| ---- | ------------------------------------------ | --------- | --------- | -------------- | ---------- |
+| 8.1  | Inject trace_id into Logs::format()        | 8a        | 0         | 1              | Phase 7    |
+| 8.2  | Add Loki to Docker Compose stack           | 8b        | 1         | 1              | --         |
+| 8.3  | Add filelog receiver to OTel Collector     | 8b        | 0         | 2              | 8.1, 8.2   |
+| 8.4  | Configure Grafana trace-to-log correlation | 8b        | 0         | 2              | 8.3        |
+| 8.5  | Update integration tests                   | 8a + 8b   | 0         | 1              | 8.4        |
+| 8.6  | Update documentation                       | 8a + 8b   | 0         | 3              | 8.5        |
+
+**Parallel work**: Task 8.2 (Loki infra) can run in parallel with Task 8.1 (code change). Tasks 8.3-8.6 are sequential.
+
+**Exit Criteria** (from [06-implementation-phases.md §6.8.1](./06-implementation-phases.md)):
+
+- [ ] Log lines within active spans contain `trace_id=<hex> span_id=<hex>`
+- [ ] Log lines outside spans have no trace context (no empty fields)
+- [ ] Loki ingests rippled logs via OTel Collector filelog receiver
+- [ ] Grafana Tempo -> Loki one-click correlation works
+- [ ] Grafana Loki -> Tempo reverse lookup works via derived field
+- [ ] Integration test verifies trace_id presence in logs
+- [ ] No performance regression from trace_id injection (< 0.1% overhead)
--- a/OpenTelemetryPlan/presentation.md
+++ b/OpenTelemetryPlan/presentation.md
@@ -0,0 +1,673 @@
+# OpenTelemetry Distributed Tracing for rippled
+
+---
+
+## Slide 1: Introduction
+
+> **CNCF** = Cloud Native Computing Foundation
+
+### What is OpenTelemetry?
+
+OpenTelemetry is an open-source, CNCF-backed observability framework for distributed tracing, metrics, and logs.
+
+### Why OpenTelemetry for rippled?
+
+- **End-to-End Transaction Visibility**: Track transactions from submission → consensus → ledger inclusion
+- **Cross-Node Correlation**: Follow requests across multiple independent nodes using a unique `trace_id`
+- **Consensus Round Analysis**: Understand timing and behavior across validators
+- **Incident Debugging**: Correlate events across distributed nodes during issues
+
+```mermaid
+flowchart LR
+    A["Node A<br/>tx.receive<br/>trace_id: abc123"] --> B["Node B<br/>tx.relay<br/>trace_id: abc123"] --> C["Node C<br/>tx.validate<br/>trace_id: abc123"] --> D["Node D<br/>ledger.apply<br/>trace_id: abc123"]
+
+    style A fill:#1565c0,stroke:#0d47a1,color:#fff
+    style B fill:#2e7d32,stroke:#1b5e20,color:#fff
+    style C fill:#2e7d32,stroke:#1b5e20,color:#fff
+    style D fill:#e65100,stroke:#bf360c,color:#fff
+```
+
+**Reading the diagram:**
+
+- **Node A (blue, leftmost)**: The originating node that first receives the transaction and assigns a new `trace_id: abc123`; this ID becomes the correlation key for the entire distributed trace.
+- **Node B and Node C (green, middle)**: Relay and validation nodes — each creates its own span but carries the same `trace_id`, so their work is linked to the original submission without any central coordinator.
+- **Node D (orange, rightmost)**: The final node that applies the transaction to the ledger; the trace now spans the full lifecycle from submission to ledger inclusion.
+- **Left-to-right flow**: The horizontal progression shows the real-world message path — a transaction hops from node to node, and the shared `trace_id` stitches all hops into a single queryable trace.
+
+> **Trace ID: abc123** — All nodes share the same trace, enabling cross-node correlation.
+
+---
+
+## Slide 2: OpenTelemetry vs Open Source Alternatives
+
+> **CNCF** = Cloud Native Computing Foundation
+
+| Feature             | OpenTelemetry    | Jaeger           | Zipkin             | SkyWalking | Pinpoint   | Prometheus |
+| ------------------- | ---------------- | ---------------- | ------------------ | ---------- | ---------- | ---------- |
+| **Tracing**         | YES              | YES              | YES                | YES        | YES        | NO         |
+| **Metrics**         | YES              | NO               | NO                 | YES        | YES        | YES        |
+| **Logs**            | YES              | NO               | NO                 | YES        | NO         | NO         |
+| **C++ SDK**         | YES Official     | YES (Deprecated) | YES (Unmaintained) | NO         | NO         | YES        |
+| **Vendor Neutral**  | YES Primary goal | NO               | NO                 | NO         | NO         | NO         |
+| **Instrumentation** | Manual + Auto    | Manual           | Manual             | Auto-first | Auto-first | Manual     |
+| **Backend**         | Any (exporters)  | Self             | Self               | Self       | Self       | Self       |
+| **CNCF Status**     | Incubating       | Graduated        | NO                 | Incubating | NO         | Graduated  |
+
+> **Why OpenTelemetry?** It's the only actively maintained, full-featured C++ option with vendor neutrality — allowing export to Tempo, Prometheus, Grafana, or any commercial backend without changing instrumentation.
+
+---
+
+## Slide 3: Adoption Scope — Traces Only (Current Plan)
+
+OpenTelemetry supports three signal types: **Traces**, **Metrics**, and **Logs**. rippled already captures metrics (StatsD via Beast Insight) and logs (Journal/PerfLog). The question is: how much of OTel do we adopt?
+
+> **Scenario A**: Add distributed tracing. Keep StatsD for metrics and Journal for logs.
+
+```mermaid
+flowchart LR
+    subgraph rippled["rippled Process"]
+        direction TB
+        OTel["OTel SDK<br/>(Traces)"]
+        Insight["Beast Insight<br/>(StatsD Metrics)"]
+        Journal["Journal + PerfLog<br/>(Logging)"]
+    end
+
+    OTel -->|"OTLP"| Collector["OTel Collector"]
+    Insight -->|"UDP"| StatsD["StatsD Server"]
+    Journal -->|"File I/O"| LogFile["perf.log / debug.log"]
+
+    Collector --> Tempo["Tempo / Jaeger"]
+    StatsD --> Graphite["Graphite / Grafana"]
+    LogFile --> Loki["Loki (optional)"]
+
+    style rippled fill:#424242,stroke:#212121,color:#fff
+    style OTel fill:#2e7d32,stroke:#1b5e20,color:#fff
+    style Insight fill:#1565c0,stroke:#0d47a1,color:#fff
+    style Journal fill:#e65100,stroke:#bf360c,color:#fff
+    style Collector fill:#2e7d32,stroke:#1b5e20,color:#fff
+```
+
+| Aspect                         | Details                                                                                                         |
+| ------------------------------ | --------------------------------------------------------------------------------------------------------------- |
+| **What changes for operators** | Deploy OTel Collector + trace backend. Existing StatsD and log pipelines stay as-is.                            |
+| **Codebase impact**            | New `Telemetry` module (~1500 LOC). Beast Insight and Journal untouched.                                        |
+| **New capabilities**           | Cross-node trace correlation, span-based debugging, request lifecycle visibility.                               |
+| **What we still can't do**     | Correlate metrics with specific traces natively. StatsD metrics remain fire-and-forget with no trace exemplars. |
+| **Maintenance burden**         | Three separate observability systems to maintain (OTel + StatsD + Journal).                                     |
+| **Risk**                       | Lowest — additive change, no existing systems disturbed.                                                        |
+
+---
+
+## Slide 4: Future Adoption — Metrics & Logs via OTel
+
+### Scenario B: + OTel Metrics (Replace StatsD)
+
+> Migrate StatsD to OTel Metrics API, exposing Prometheus-compatible metrics. Remove Beast Insight.
+
+```mermaid
+flowchart LR
+    subgraph rippled["rippled Process"]
+        direction TB
+        OTel["OTel SDK<br/>(Traces + Metrics)"]
+        Journal["Journal + PerfLog<br/>(Logging)"]
+    end
+
+    OTel -->|"OTLP"| Collector["OTel Collector"]
+    Journal -->|"File I/O"| LogFile["perf.log / debug.log"]
+
+    Collector --> Tempo["Tempo<br/>(Traces)"]
+    Collector --> Prom["Prometheus<br/>(Metrics)"]
+    LogFile --> Loki["Loki (optional)"]
+
+    style rippled fill:#424242,stroke:#212121,color:#fff
+    style OTel fill:#2e7d32,stroke:#1b5e20,color:#fff
+    style Journal fill:#e65100,stroke:#bf360c,color:#fff
+    style Collector fill:#2e7d32,stroke:#1b5e20,color:#fff
+```
+
+- **Better metrics?** Yes — Prometheus gives native histograms (p50/p95/p99), multi-dimensional labels, and exemplars linking metric spikes to traces.
+- **Codebase**: Remove `Beast::Insight` + `StatsDCollector` (~2000 LOC). Single SDK for traces and metrics.
+- **Operator effort**: Rewrite dashboards from StatsD/Graphite queries to PromQL. Run both in parallel during transition.
+- **Risk**: Medium — operators must migrate monitoring infrastructure.
+
+### Scenario C: + OTel Logs (Full Stack)
+
+> Also replace Journal logging with OTel Logs API. Single SDK for everything.
+
+```mermaid
+flowchart LR
+    subgraph rippled["rippled Process"]
+        OTel["OTel SDK<br/>(Traces + Metrics + Logs)"]
+    end
+
+    OTel -->|"OTLP"| Collector["OTel Collector"]
+
+    Collector --> Tempo["Tempo<br/>(Traces)"]
+    Collector --> Prom["Prometheus<br/>(Metrics)"]
+    Collector --> Loki["Loki / Elastic<br/>(Logs)"]
+
+    style rippled fill:#424242,stroke:#212121,color:#fff
+    style OTel fill:#2e7d32,stroke:#1b5e20,color:#fff
+    style Collector fill:#2e7d32,stroke:#1b5e20,color:#fff
+```
+
+- **Structured logging**: OTel Logs API outputs structured records with `trace_id`, `span_id`, severity, and attributes by design.
+- **Full correlation**: Every log line carries `trace_id`. Click trace → see logs. Click metric spike → see trace → see logs.
+- **Codebase**: Remove Beast Insight (~2000 LOC) + simplify Journal/PerfLog (~3000 LOC). One dependency instead of three.
+- **Risk**: Highest — `beast::Journal` is deeply embedded in every component. Large refactor. OTel C++ Logs API is newer (stable since v1.11, less battle-tested).
+
+### Recommendation
+
+```mermaid
+flowchart LR
+    A["Phase 1<br/><b>Traces Only</b><br/>(Current Plan)"] --> B["Phase 2<br/><b>+ Metrics</b><br/>(Replace StatsD)"] --> C["Phase 3<br/><b>+ Logs</b><br/>(Full OTel)"]
+
+    style A fill:#2e7d32,stroke:#1b5e20,color:#fff
+    style B fill:#1565c0,stroke:#0d47a1,color:#fff
+    style C fill:#e65100,stroke:#bf360c,color:#fff
+```
+
+| Phase                | Signal    | Strategy                                                       | Risk   |
+| -------------------- | --------- | -------------------------------------------------------------- | ------ |
+| **Phase 1** (now)    | Traces    | Add OTel traces. Keep StatsD and Journal. Prove value.         | Low    |
+| **Phase 2** (future) | + Metrics | Migrate StatsD → Prometheus via OTel. Remove Beast Insight.    | Medium |
+| **Phase 3** (future) | + Logs    | Adopt OTel Logs API. Align with structured logging initiative. | High   |
+
+> **Key Takeaway**: Start with traces (unique value, lowest risk), then incrementally adopt metrics and logs as the OTel infrastructure proves itself.
+
+---
+
+## Slide 5: Comparison with rippled's Existing Solutions
+
+### Current Observability Stack
+
+| Aspect                | PerfLog (JSON)        | StatsD (Metrics)      | OpenTelemetry (NEW)         |
+| --------------------- | --------------------- | --------------------- | --------------------------- |
+| **Type**              | Logging               | Metrics               | Distributed Tracing         |
+| **Scope**             | Single node           | Single node           | **Cross-node**              |
+| **Data**              | JSON log entries      | Counters, gauges      | Spans with context          |
+| **Correlation**       | By timestamp          | By metric name        | By `trace_id`               |
+| **Overhead**          | Low (file I/O)        | Low (UDP)             | Low-Medium (configurable)   |
+| **Question Answered** | "What happened here?" | "How many? How fast?" | **"What was the journey?"** |
+
+### Use Case Matrix
+
+| Scenario                         | PerfLog | StatsD | OpenTelemetry |
+| -------------------------------- | ------- | ------ | ------------- |
+| "How many TXs per second?"       | ❌      | ✅     | ❌            |
+| "Why was this specific TX slow?" | ⚠️      | ❌     | ✅            |
+| "Which node delayed consensus?"  | ❌      | ❌     | ✅            |
+| "Show TX journey across 5 nodes" | ❌      | ❌     | ✅            |
+
+> **Key Insight**: In the **traces-only** approach (Phase 1), OpenTelemetry **complements** existing systems. In future phases, OTel metrics and logs could **replace** StatsD and Journal respectively — see Slides 3-4 for the full adoption roadmap.
+
+---
+
+## Slide 6: Architecture
+
+> **OTLP** = OpenTelemetry Protocol | **WS** = WebSocket
+
+### High-Level Integration Architecture
+
+```mermaid
+flowchart TB
+    subgraph rippled["rippled Node"]
+        subgraph services["Core Services"]
+            direction LR
+            RPC["RPC Server<br/>(HTTP/WS)"] ~~~ Overlay["Overlay<br/>(P2P Network)"] ~~~ Consensus["Consensus<br/>(RCLConsensus)"]
+        end
+
+        Telemetry["Telemetry Module<br/>(OpenTelemetry SDK)"]
+
+        services --> Telemetry
+    end
+
+    Telemetry -->|OTLP/gRPC| Collector["OTel Collector"]
+
+    Collector --> Tempo["Grafana Tempo"]
+    Collector --> Elastic["Elastic APM"]
+
+    style rippled fill:#424242,stroke:#212121,color:#fff
+    style services fill:#1565c0,stroke:#0d47a1,color:#fff
+    style Telemetry fill:#2e7d32,stroke:#1b5e20,color:#fff
+    style Collector fill:#e65100,stroke:#bf360c,color:#fff
+```
+
+**Reading the diagram:**
+
+- **Core Services (blue, top)**: RPC Server, Overlay, and Consensus are the three primary components that generate trace data — they represent the entry points for client requests, peer messages, and consensus rounds respectively.
+- **Telemetry Module (green, middle)**: The OpenTelemetry SDK sits below the core services and receives span data from all three; it acts as a single collection point within the rippled process.
+- **OTel Collector (orange, center)**: An external process that receives spans over OTLP/gRPC from the Telemetry Module; it decouples rippled from backend choices and handles batching, sampling, and routing.
+- **Backends (bottom row)**: Tempo and Elastic APM are interchangeable — the Collector fans out to any combination, so operators can switch backends without modifying rippled code.
+- **Top-to-bottom flow**: Data flows from instrumented code down through the SDK, out over the network to the Collector, and finally into storage/visualization backends.
+
+### Context Propagation
+
+```mermaid
+sequenceDiagram
+    participant Client
+    participant NodeA as Node A
+    participant NodeB as Node B
+
+    Client->>NodeA: Submit TX (no context)
+    Note over NodeA: Creates trace_id: abc123<br/>span: tx.receive
+    NodeA->>NodeB: Relay TX<br/>(traceparent: abc123)
+    Note over NodeB: Links to trace_id: abc123<br/>span: tx.relay
+```
+
+- **HTTP/RPC**: W3C Trace Context headers (`traceparent`)
+- **P2P Messages**: Protocol Buffer extension fields
+
+---
+
+## Slide 7: Implementation Plan
+
+### 5-Phase Rollout (9 Weeks)
+
+> **Note**: Dates shown are relative to project start, not calendar dates.
+
+```mermaid
+gantt
+    title Implementation Timeline
+    dateFormat  YYYY-MM-DD
+    axisFormat  Week %W
+
+    section Phase 1
+    Core Infrastructure    :p1, 2024-01-01, 2w
+
+    section Phase 2
+    RPC Tracing           :p2, after p1, 2w
+
+    section Phase 3
+    Transaction Tracing   :p3, after p2, 2w
+
+    section Phase 4
+    Consensus Tracing     :p4, after p3, 2w
+
+    section Phase 5
+    Documentation         :p5, after p4, 1w
+```
+
+### Phase Details
+
+| Phase | Focus               | Key Deliverables                             | Effort  |
+| ----- | ------------------- | -------------------------------------------- | ------- |
+| 1     | Core Infrastructure | SDK integration, Telemetry interface, Config | 10 days |
+| 2     | RPC Tracing         | HTTP context extraction, Handler spans       | 10 days |
+| 3     | Transaction Tracing | Protobuf context, P2P relay propagation      | 10 days |
+| 4     | Consensus Tracing   | Round spans, Proposal/validation tracing     | 10 days |
+| 5     | Documentation       | Runbook, Dashboards, Training                | 7 days  |
+
+**Total Effort**: ~47 developer-days (2 developers)
+
+> **Future Phases** (not in current scope): After traces are stable, OTel metrics can replace StatsD (~3 weeks), and OTel logs can replace Journal (~4 weeks, aligned with structured logging initiative). See Slides 3-4 for the full adoption roadmap.
+
+---
+
+## Slide 8: Performance Overhead
+
+> **OTLP** = OpenTelemetry Protocol
+
+### Estimated System Impact
+
+| Metric            | Overhead   | Notes                                            |
+| ----------------- | ---------- | ------------------------------------------------ |
+| **CPU**           | 1-3%       | Span creation and attribute setting              |
+| **Memory**        | ~10 MB     | SDK statics + batch buffer + worker thread stack |
+| **Network**       | 10-50 KB/s | Compressed OTLP export to collector              |
+| **Latency (p99)** | <2%        | With proper sampling configuration               |
+
+#### How We Arrived at These Numbers
+
+**Assumptions (XRPL mainnet baseline)**:
+
+| Parameter                 | Value                  | Source                                                                                              |
+| ------------------------- | ---------------------- | --------------------------------------------------------------------------------------------------- |
+| Transaction throughput    | ~25 TPS (peaks to ~50) | Mainnet average                                                                                     |
+| Default peers per node    | 21                     | `peerfinder/detail/Tuning.h` (`defaultMaxPeers`)                                                    |
+| Consensus round frequency | ~1 round / 3-4 seconds | `ConsensusParms.h` (`ledgerMIN_CONSENSUS=1950ms`)                                                   |
+| Proposers per round       | ~20-35                 | Mainnet UNL size                                                                                    |
+| P2P message rate          | ~160 msgs/sec          | See message breakdown below                                                                         |
+| Avg TX processing time    | ~200 μs                | Profiled baseline                                                                                   |
+| Single span creation cost | 500-1000 ns            | OTel C++ SDK benchmarks (see [3.5.4](./03-implementation-strategy.md#354-performance-data-sources)) |
+
+**P2P message breakdown** (per node, mainnet):
+
+| Message Type  | Rate         | Derivation                                                            |
+| ------------- | ------------ | --------------------------------------------------------------------- |
+| TMTransaction | ~100/sec     | ~25 TPS × ~4 relay hops per TX, deduplicated by HashRouter            |
+| TMValidation  | ~50/sec      | ~35 validators × ~1 validation/3s round ≈ ~12/sec, plus relay fan-out |
+| TMProposeSet  | ~10/sec      | ~35 proposers / 3s round ≈ ~12/round, clustered in establish phase    |
+| **Total**     | **~160/sec** | **Only traced message types counted**                                 |
+
+**CPU (1-3%) — Calculation**:
+
+Per-transaction tracing cost breakdown:
+
+| Operation                                       | Cost        | Notes                                      |
+| ----------------------------------------------- | ----------- | ------------------------------------------ |
+| `tx.receive` span (create + end + 4 attributes) | ~1400 ns    | ~1000ns create + ~200ns end + 4×50ns attrs |
+| `tx.validate` span                              | ~1200 ns    | ~1000ns create + ~200ns for 2 attributes   |
+| `tx.relay` span                                 | ~1200 ns    | ~1000ns create + ~200ns for 2 attributes   |
+| Context injection into P2P message              | ~200 ns     | Serialize trace_id + span_id into protobuf |
+| **Total per TX**                                | **~4.0 μs** |                                            |
+
+> **CPU overhead**: 4.0 μs / 200 μs baseline = **~2.0% per transaction**. Under high load with consensus + RPC spans overlapping, reaches ~3%. Consensus itself adds only ~36 μs per 3-second round (~0.001%), so the TX path dominates. On production server hardware (3+ GHz Xeon), span creation drops to ~500-600 ns, bringing per-TX cost to ~2.6 μs (~1.3%). See [Section 3.5.4](./03-implementation-strategy.md#354-performance-data-sources) for benchmark sources.
+
+**Memory (~10 MB) — Calculation**:
+
+| Component                                     | Size               | Notes                                 |
+| --------------------------------------------- | ------------------ | ------------------------------------- |
+| TracerProvider + Exporter (gRPC channel init) | ~320 KB            | Allocated once at startup             |
+| BatchSpanProcessor (circular buffer)          | ~16 KB             | 2049 × 8-byte AtomicUniquePtr entries |
+| BatchSpanProcessor (worker thread stack)      | ~8 MB              | Default Linux thread stack size       |
+| Active spans (in-flight, max ~1000)           | ~500-800 KB        | ~500-800 bytes/span × 1000 concurrent |
+| Export queue (batch buffer, max 2048 spans)   | ~1 MB              | ~500 bytes/span × 2048 queue depth    |
+| Thread-local context storage (~100 threads)   | ~6.4 KB            | ~64 bytes/thread                      |
+| **Total**                                     | **~10 MB ceiling** |                                       |
+
+> Memory plateaus once the export queue fills — the `max_queue_size=2048` config bounds growth.
+> The worker thread stack (~8 MB) dominates the static footprint but is virtual memory; actual RSS
+> depends on stack usage (typically much less). Active spans are larger than originally estimated
+> (~500-800 bytes) because the OTel SDK `Span` object includes a mutex (~40 bytes), `SpanData`
+> recordable (~250 bytes base), and `std::map`-based attribute storage (~200-500 bytes for 3-5
+> string attributes). See [Section 3.5.4](./03-implementation-strategy.md#354-performance-data-sources) for source references.
+
+**Network (10-50 KB/s) — Calculation**:
+
+Two sources of network overhead:
+
+**(A) OTLP span export to Collector:**
+
+| Sampling Rate              | Effective Spans/sec | Avg Span Size (compressed) | Bandwidth    |
+| -------------------------- | ------------------- | -------------------------- | ------------ |
+| 100% (dev only)            | ~500                | ~500 bytes                 | ~250 KB/s    |
+| **10% (recommended prod)** | **~50**             | **~500 bytes**             | **~25 KB/s** |
+| 1% (minimal)               | ~5                  | ~500 bytes                 | ~2.5 KB/s    |
+
+> The ~500 spans/sec at 100% comes from: ~100 TX spans + ~160 P2P context spans + ~23 consensus spans/round + ~50 RPC spans = ~500/sec. OTLP protobuf with gzip compression yields ~500 bytes/span average.
+
+**(B) P2P trace context overhead** (added to existing messages, always-on regardless of sampling):
+
+| Message Type  | Rate     | Context Size | Bandwidth     |
+| ------------- | -------- | ------------ | ------------- |
+| TMTransaction | ~100/sec | 29 bytes     | ~2.9 KB/s     |
+| TMValidation  | ~50/sec  | 29 bytes     | ~1.5 KB/s     |
+| TMProposeSet  | ~10/sec  | 29 bytes     | ~0.3 KB/s     |
+| **Total P2P** |          |              | **~4.7 KB/s** |
+
+> **Combined**: 25 KB/s (OTLP export at 10%) + 5 KB/s (P2P context) ≈ **~30 KB/s typical**. The 10-50 KB/s range covers 10-20% sampling under normal to peak mainnet load.
+
+**Latency (<2%) — Calculation**:
+
+| Path                           | Tracing Cost | Baseline | Overhead |
+| ------------------------------ | ------------ | -------- | -------- |
+| Fast RPC (e.g., `server_info`) | 2.75 μs      | ~1 ms    | 0.275%   |
+| Slow RPC (e.g., `path_find`)   | 2.75 μs      | ~100 ms  | 0.003%   |
+| Transaction processing         | 4.0 μs       | ~200 μs  | 2.0%     |
+| Consensus round                | 36 μs        | ~3 sec   | 0.001%   |
+
+> At p99, even the worst case (TX processing at 2.0%) is within the 1-3% range. RPC and consensus overhead are negligible. On production hardware, TX overhead drops to ~1.3%.
+
+### Per-Message Overhead (Context Propagation)
+
+Each P2P message carries trace context with the following overhead:
+
+| Field         | Size          | Description                               |
+| ------------- | ------------- | ----------------------------------------- |
+| `trace_id`    | 16 bytes      | Unique identifier for the entire trace    |
+| `span_id`     | 8 bytes       | Current span (becomes parent on receiver) |
+| `trace_flags` | 1 byte        | Sampling decision flags                   |
+| `trace_state` | 0-4 bytes     | Optional vendor-specific data             |
+| **Total**     | **~29 bytes** | **Added per traced P2P message**          |
+
+```mermaid
+flowchart LR
+    subgraph msg["P2P Message with Trace Context"]
+        A["Original Message<br/>(variable size)"] --> B["+ TraceContext<br/>(~29 bytes)"]
+    end
+
+    subgraph breakdown["Context Breakdown"]
+        C["trace_id<br/>16 bytes"]
+        D["span_id<br/>8 bytes"]
+        E["flags<br/>1 byte"]
+        F["state<br/>0-4 bytes"]
+    end
+
+    B --> breakdown
+
+    style A fill:#424242,stroke:#212121,color:#fff
+    style B fill:#2e7d32,stroke:#1b5e20,color:#fff
+    style C fill:#1565c0,stroke:#0d47a1,color:#fff
+    style D fill:#1565c0,stroke:#0d47a1,color:#fff
+    style E fill:#e65100,stroke:#bf360c,color:#fff
+    style F fill:#4a148c,stroke:#2e0d57,color:#fff
+```
+
+**Reading the diagram:**
+
+- **Original Message (gray, left)**: The existing P2P message payload of variable size — this is unchanged; trace context is appended, never modifying the original data.
+- **+ TraceContext (green, right of message)**: The additional 29-byte context block attached to each traced message; the arrow from the original message shows it is a pure addition.
+- **Context Breakdown (right subgraph)**: The four fields — `trace_id` (16 bytes), `span_id` (8 bytes), `flags` (1 byte), and `state` (0-4 bytes) — show exactly what is added and their individual sizes.
+- **Color coding**: Blue fields (`trace_id`, `span_id`) are the core identifiers required for trace correlation; orange (`flags`) controls sampling decisions; purple (`state`) is optional vendor data typically omitted.
+
+> **Note**: 29 bytes represents ~1-6% overhead depending on message size (500B simple TX to 5KB proposal), which is acceptable for the observability benefits provided.
+
+### Mitigation Strategies
+
+```mermaid
+flowchart LR
+    A["Head Sampling<br/>10% default"] --> B["Tail Sampling<br/>Keep errors/slow"] --> C["Batch Export<br/>Reduce I/O"] --> D["Conditional Compile<br/>XRPL_ENABLE_TELEMETRY"]
+
+    style A fill:#1565c0,stroke:#0d47a1,color:#fff
+    style B fill:#2e7d32,stroke:#1b5e20,color:#fff
+    style C fill:#e65100,stroke:#bf360c,color:#fff
+    style D fill:#4a148c,stroke:#2e0d57,color:#fff
+```
+
+> For a detailed explanation of head vs. tail sampling, see Slide 9.
+
+### Kill Switches (Rollback Options)
+
+1. **Config Disable**: Set `enabled=0` in config → instant disable, no restart needed for sampling
+2. **Rebuild**: Compile with `XRPL_ENABLE_TELEMETRY=OFF` → zero overhead (no-op)
+3. **Full Revert**: Clean separation allows easy commit reversion
+
+---
+
+## Slide 9: Sampling Strategies — Head vs. Tail
+
+> Sampling controls **which traces are recorded and exported**. Without sampling, every operation generates a trace — at 500+ spans/sec, this overwhelms storage and network. Sampling lets you keep the signal, discard the noise.
+
+### Head Sampling (Decision at Start)
+
+The sampling decision is made **when a trace begins**, before any work is done. A random number is generated; if it falls within the configured ratio, the entire trace is recorded. Otherwise, the trace is silently dropped.
+
+```mermaid
+flowchart LR
+    A["New Request<br/>Arrives"] --> B{"Random < 10%?"}
+    B -->|"Yes (1 in 10)"| C["Record Entire Trace<br/>(all spans)"]
+    B -->|"No (9 in 10)"| D["Drop Entire Trace<br/>(zero overhead)"]
+
+    style C fill:#2e7d32,stroke:#1b5e20,color:#fff
+    style D fill:#c62828,stroke:#8c2809,color:#fff
+    style B fill:#1565c0,stroke:#0d47a1,color:#fff
+```
+
+| Aspect                        | Details                                                                                                                                                                                                  |
+| ----------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
+| **Where it runs**             | Inside rippled (SDK-level). Configured via `sampling_ratio` in `rippled.cfg`.                                                                                                                            |
+| **When the decision happens** | At trace creation time — before the first span is even populated.                                                                                                                                        |
+| **How it works**              | `sampling_ratio=0.1` means each trace has a 10% probability of being recorded. Dropped traces incur near-zero overhead (no spans created, no attributes set, no export).                                 |
+| **Propagation**               | Once a trace is sampled, the `trace_flags` field (1 byte in the context header) tells downstream nodes to also sample it. Unsampled traces propagate `trace_flags=0`, so downstream nodes skip them too. |
+| **Pros**                      | Lowest overhead. Simple to configure. Predictable resource usage.                                                                                                                                        |
+| **Cons**                      | **Blind** — it doesn't know if the trace will be interesting. A rare error or slow consensus round has only a 10% chance of being captured.                                                              |
+| **Best for**                  | High-volume, steady-state traffic where most traces look similar (e.g., routine RPC requests).                                                                                                           |
+
+**rippled configuration**:
+
+```ini
+[telemetry]
+# Record 10% of traces (recommended for production)
+sampling_ratio=0.1
+```
+
+### Tail Sampling (Decision at End)
+
+The sampling decision is made **after the trace completes**, based on its actual content — was it slow? Did it error? Was it a consensus round? This requires buffering complete traces before deciding.
+
+```mermaid
+flowchart TB
+    A["All Traces<br/>Buffered (100%)"] --> B["OTel Collector<br/>Evaluates Rules"]
+
+    B --> C{"Error?"}
+    C -->|Yes| K["KEEP"]
+
+    C -->|No| D{"Slow?<br/>(>5s consensus,<br/>>1s RPC)"}
+    D -->|Yes| K
+
+    D -->|No| E{"Random < 10%?"}
+    E -->|Yes| K
+    E -->|No| F["DROP"]
+
+    style K fill:#2e7d32,stroke:#1b5e20,color:#fff
+    style F fill:#c62828,stroke:#8c2809,color:#fff
+    style B fill:#1565c0,stroke:#0d47a1,color:#fff
+    style C fill:#e65100,stroke:#bf360c,color:#fff
+    style D fill:#e65100,stroke:#bf360c,color:#fff
+    style E fill:#4a148c,stroke:#2e0d57,color:#fff
+```
+
+| Aspect                        | Details                                                                                                                                                                                                   |
+| ----------------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
+| **Where it runs**             | In the **OTel Collector** (external process), not inside rippled. rippled exports 100% of traces; the Collector decides what to keep.                                                                     |
+| **When the decision happens** | After the Collector has received all spans for a trace (waits `decision_wait=10s` for stragglers).                                                                                                        |
+| **How it works**              | Policy rules evaluate the completed trace: keep all errors, keep slow operations above a threshold, keep all consensus rounds, then probabilistically sample the rest at 10%.                             |
+| **Pros**                      | **Never misses important traces**. Errors, slow requests, and consensus anomalies are always captured regardless of probability.                                                                          |
+| **Cons**                      | Higher resource usage — rippled must export 100% of spans to the Collector, which buffers them in memory before deciding. The Collector needs more RAM (configured via `num_traces` and `decision_wait`). |
+| **Best for**                  | Production troubleshooting where you can't afford to miss errors or anomalies.                                                                                                                            |
+
+**Collector configuration** (tail sampling rules for rippled):
+
+```yaml
+processors:
+  tail_sampling:
+    decision_wait: 10s # Wait for all spans in a trace
+    num_traces: 100000 # Buffer up to 100K concurrent traces
+    policies:
+      - name: errors # Always keep error traces
+        type: status_code
+        status_code: { status_codes: [ERROR] }
+
+      - name: slow-consensus # Keep consensus rounds >5s
+        type: latency
+        latency: { threshold_ms: 5000 }
+
+      - name: slow-rpc # Keep slow RPC requests >1s
+        type: latency
+        latency: { threshold_ms: 1000 }
+
+      - name: probabilistic # Sample 10% of everything else
+        type: probabilistic
+        probabilistic: { sampling_percentage: 10 }
+```
+
+### Head vs. Tail — Side-by-Side
+
+|                               | Head Sampling                            | Tail Sampling                                    |
+| ----------------------------- | ---------------------------------------- | ------------------------------------------------ |
+| **Decision point**            | Trace start (inside rippled)             | Trace end (in OTel Collector)                    |
+| **Knows trace content?**      | No (random coin flip)                    | Yes (evaluates completed trace)                  |
+| **Overhead on rippled**       | Lowest (dropped traces = no-op)          | Higher (must export 100% to Collector)           |
+| **Collector resource usage**  | Low (receives only sampled traces)       | Higher (buffers all traces before deciding)      |
+| **Captures all errors?**      | No (only if trace was randomly selected) | **Yes** (error policy catches them)              |
+| **Captures slow operations?** | No (random)                              | **Yes** (latency policy catches them)            |
+| **Configuration**             | `rippled.cfg`: `sampling_ratio=0.1`      | `otel-collector.yaml`: `tail_sampling` processor |
+| **Best for**                  | High-throughput steady-state             | Troubleshooting & anomaly detection              |
+
+### Recommended Strategy for rippled
+
+Use **both** in a layered approach:
+
+```mermaid
+flowchart LR
+    subgraph rippled["rippled (Head Sampling)"]
+        HS["sampling_ratio=1.0<br/>(export everything)"]
+    end
+
+    subgraph collector["OTel Collector (Tail Sampling)"]
+        TS["Keep: errors + slow + 10% random<br/>Drop: routine traces"]
+    end
+
+    subgraph storage["Backend Storage"]
+        ST["Only interesting traces<br/>stored long-term"]
+    end
+
+    rippled -->|"100% of spans"| collector -->|"~15-20% kept"| storage
+
+    style rippled fill:#424242,stroke:#212121,color:#fff
+    style collector fill:#1565c0,stroke:#0d47a1,color:#fff
+    style storage fill:#2e7d32,stroke:#1b5e20,color:#fff
+```
+
+> **Why this works**: rippled exports everything (no blind drops), the Collector applies intelligent filtering (keep errors/slow/anomalies, sample the rest), and only ~15-20% of traces reach storage. If Collector resource usage becomes a concern, add head sampling at `sampling_ratio=0.5` to halve the export volume while still giving the Collector enough data for good tail-sampling decisions.
+
+---
+
+## Slide 10: Data Collection & Privacy
+
+### What Data is Collected
+
+| Category        | Attributes Collected                                                                 | Purpose                     |
+| --------------- | ------------------------------------------------------------------------------------ | --------------------------- |
+| **Transaction** | `tx.hash`, `tx.type`, `tx.result`, `tx.fee`, `ledger_index`                          | Trace transaction lifecycle |
+| **Consensus**   | `round`, `phase`, `mode`, `proposers` (count of proposing validators), `duration_ms` | Analyze consensus timing    |
+| **RPC**         | `command`, `version`, `status`, `duration_ms`                                        | Monitor RPC performance     |
+| **Peer**        | `peer.id`(public key), `latency_ms`, `message.type`, `message.size`                  | Network topology analysis   |
+| **Ledger**      | `ledger.hash`, `ledger.index`, `close_time`, `tx_count`                              | Ledger progression tracking |
+| **Job**         | `job.type`, `queue_ms`, `worker`                                                     | JobQueue performance        |
+
+### What is NOT Collected (Privacy Guarantees)
+
+```mermaid
+flowchart LR
+    subgraph notCollected["❌ NOT Collected"]
+        direction LR
+        A["Private Keys"] ~~~ B["Account Balances"] ~~~ C["Transaction Amounts"]
+    end
+
+    subgraph alsoNot["❌ Also Excluded"]
+        direction LR
+        D["IP Addresses<br/>(configurable)"] ~~~ E["Personal Data"] ~~~ F["Raw TX Payloads"]
+    end
+
+    style A fill:#c62828,stroke:#8c2809,color:#fff
+    style B fill:#c62828,stroke:#8c2809,color:#fff
+    style C fill:#c62828,stroke:#8c2809,color:#fff
+    style D fill:#c62828,stroke:#8c2809,color:#fff
+    style E fill:#c62828,stroke:#8c2809,color:#fff
+    style F fill:#c62828,stroke:#8c2809,color:#fff
+```
+
+**Reading the diagram:**
+
+- **NOT Collected (top row, red)**: Private Keys, Account Balances, and Transaction Amounts are explicitly excluded — these are financial/security-sensitive fields that telemetry never touches.
+- **Also Excluded (bottom row, red)**: IP Addresses (configurable per deployment), Personal Data, and Raw TX Payloads are also excluded — these protect operator and user privacy.
+- **All-red styling**: Every box is styled in red to visually reinforce that these are hard exclusions, not optional — the telemetry system has no code path to collect any of these fields.
+- **Two-row layout**: The split between "NOT Collected" and "Also Excluded" distinguishes between financial data (top) and operational/personal data (bottom), making the privacy boundaries clear to auditors.
+
+### Privacy Protection Mechanisms
+
+| Mechanism                  | Description                                                   |
+| -------------------------- | ------------------------------------------------------------- |
+| **Account Hashing**        | `xrpl.tx.account` is hashed at collector level before storage |
+| **Configurable Redaction** | Sensitive fields can be excluded via config                   |
+| **Sampling**               | Only 10% of traces recorded by default (reduces exposure)     |
+| **Local Control**          | Node operators control what gets exported                     |
+| **No Raw Payloads**        | Transaction content is never recorded, only metadata          |
+
+> **Key Principle**: Telemetry collects **operational metadata** (timing, counts, hashes) — never **sensitive content** (keys, balances, amounts).
+
+---
+
+_End of Presentation_
--- a/cfg/xrpld-example.cfg
+++ b/cfg/xrpld-example.cfg
@@ -1529,3 +1529,46 @@ validators.txt
 # set to ssl_verify to 0.
 [ssl_verify]
 1
+#-------------------------------------------------------------------------------
+#
+# 11. Telemetry (OpenTelemetry Tracing)
+#
+#-------------------------------------------------------------------------------
+#
+# Enables distributed tracing via OpenTelemetry. Requires building with
+# -DXRPL_ENABLE_TELEMETRY=ON (telemetry Conan option).
+#
+# [telemetry]
+#
+# enabled=0
+#
+#   Enable or disable telemetry at runtime. Default: 0 (disabled).
+#
+# endpoint=http://localhost:4318/v1/traces
+#
+#   The OpenTelemetry Collector endpoint (OTLP/HTTP). Default: http://localhost:4318/v1/traces.
+#
+# exporter=otlp_http
+#
+#   Exporter type: otlp_http. Default: otlp_http.
+#
+# sampling_ratio=1.0
+#
+#   Fraction of traces to sample (0.0 to 1.0). Default: 1.0 (all traces).
+#
+# trace_rpc=1
+#
+#   Enable RPC request tracing. Default: 1.
+#
+# trace_transactions=1
+#
+#   Enable transaction lifecycle tracing. Default: 1.
+#
+# trace_consensus=1
+#
+#   Enable consensus round tracing. Default: 1.
+#
+# trace_peer=0
+#
+#   Enable peer message tracing (high volume). Default: 0.
+#
--- a/cmake/XrplCore.cmake
+++ b/cmake/XrplCore.cmake
@@ -78,6 +78,13 @@ include(target_link_modules)
 # Level 01
 add_module(xrpl beast)
 target_link_libraries(xrpl.libxrpl.beast PUBLIC xrpl.imports.main)
+# OTelCollector in beast/insight uses OTel Metrics SDK when telemetry is enabled.
+if(telemetry)
+    target_link_libraries(
+        xrpl.libxrpl.beast
+        PUBLIC opentelemetry-cpp::opentelemetry-cpp
+    )
+endif()

 include(GitInfo)
 add_module(xrpl git)
@@ -204,6 +211,23 @@ target_link_libraries(
 add_module(xrpl tx)
 target_link_libraries(xrpl.libxrpl.tx PUBLIC xrpl.libxrpl.ledger)

+# Telemetry module — OpenTelemetry distributed tracing support.
+# Sources: include/xrpl/telemetry/ (headers), src/libxrpl/telemetry/ (impl).
+# When telemetry=ON, links the Conan-provided umbrella target
+# opentelemetry-cpp::opentelemetry-cpp (individual component targets like
+# ::api, ::sdk are not available in the Conan package).
+add_module(xrpl telemetry)
+target_link_libraries(
+    xrpl.libxrpl.telemetry
+    PUBLIC xrpl.libxrpl.basics xrpl.libxrpl.beast
+)
+if(telemetry)
+    target_link_libraries(
+        xrpl.libxrpl.telemetry
+        PUBLIC opentelemetry-cpp::opentelemetry-cpp
+    )
+endif()
+
 add_library(xrpl.libxrpl)
 set_target_properties(xrpl.libxrpl PROPERTIES OUTPUT_NAME xrpl)

@@ -235,6 +259,7 @@ target_link_modules(
    resource
    server
    shamap
+    telemetry
    tx
 )

--- a/cmake/XrplProtocolAutogen.cmake
+++ b/cmake/XrplProtocolAutogen.cmake
@@ -140,28 +140,6 @@ function(setup_protocol_autogen)
                )
            endif()

-            # Check pip index URL configuration
-            execute_process(
-                COMMAND ${VENV_PIP} config get global.index-url
-                OUTPUT_VARIABLE PIP_INDEX_URL
-                OUTPUT_STRIP_TRAILING_WHITESPACE
-                ERROR_QUIET
-            )
-
-            # Default PyPI URL
-            set(DEFAULT_PIP_INDEX "https://pypi.org/simple")
-
-            # Show warning if using non-default index
-            if(PIP_INDEX_URL AND NOT PIP_INDEX_URL STREQUAL "")
-                if(NOT PIP_INDEX_URL STREQUAL DEFAULT_PIP_INDEX)
-                    message(
-                        WARNING
-                        "Private pip index URL detected: ${PIP_INDEX_URL}\n"
-                        "You may need to connect to VPN to access this URL."
-                    )
-                endif()
-            endif()
-
            message(STATUS "Installing Python dependencies...")
            execute_process(
                COMMAND ${VENV_PIP} install --upgrade pip
--- a/conan.lock
+++ b/conan.lock
@@ -1,43 +1,53 @@
 {
    "version": "0.5",
    "requires": [
-        "zlib/1.3.1#cac0f6daea041b0ccf42934163defb20%1774439233.809",
+        "zlib/1.3.1#b8bc2603263cf7eccbd6e17e66b0ed76%1765850150.075",
        "xxhash/0.8.3#681d36a0a6111fc56e5e45ea182c19cc%1765850149.987",
-        "sqlite3/3.51.0#66aa11eabd0e34954c5c1c061ad44abe%1763899256.358",
-        "soci/4.0.3#fe32b9ad5eb47e79ab9e45a68f363945%1774450067.231",
+        "sqlite3/3.49.1#8631739a4c9b93bd3d6b753bac548a63%1765850149.926",
+        "soci/4.0.3#a9f8d773cd33e356b5879a4b0564f287%1765850149.46",
        "snappy/1.1.10#968fef506ff261592ec30c574d4a7809%1765850147.878",
-        "secp256k1/0.7.1#481881709eb0bdd0185a12b912bbe8ad%1770910500.329",
+        "secp256k1/0.7.1#3a61e95e220062ef32c48d019e9c81f7%1770306721.686",
        "rocksdb/10.5.1#4a197eca381a3e5ae8adf8cffa5aacd0%1765850186.86",
-        "re2/20251105#8579cfd0bda4daf0683f9e3898f964b4%1774398111.888",
-        "protobuf/6.33.5#d96d52ba5baaaa532f47bda866ad87a5%1773224203.27",
-        "openssl/3.6.1#e6399de266349245a4542fc5f6c71552%1774458290.139",
+        "re2/20230301#ca3b241baec15bd31ea9187150e0b333%1765850148.103",
+        "protobuf/6.32.1#f481fd276fc23a33b85a3ed1e898b693%1765850161.038",
+        "opentelemetry-cpp/1.18.0#efd9851e173f8a13b9c7d35232de8cf1%1750409186.472",
+        "openssl/3.5.5#05a4ac5b7323f7a329b2db1391d9941f%1770229825.601",
        "nudb/2.0.9#0432758a24204da08fee953ec9ea03cb%1769436073.32",
+        "nlohmann_json/3.11.3#45828be26eb619a2e04ca517bb7b828d%1701220705.259",
        "lz4/1.10.0#59fc63cac7f10fbe8e05c7e62c2f3504%1765850143.914",
        "libiconv/1.17#1e65319e945f2d31941a9d28cc13c058%1765842973.492",
+        "libcurl/8.18.0#364bc3755cb9ef84ed9a7ae9c7efc1c1%1770984390.024",
        "libbacktrace/cci.20210118#a7691bfccd8caaf66309df196790a5a1%1765842973.03",
        "libarchive/3.8.1#ffee18995c706e02bf96e7a2f7042e0d%1765850144.736",
        "jemalloc/5.3.0#e951da9cf599e956cebc117880d2d9f8%1729241615.244",
        "gtest/1.17.0#5224b3b3ff3b4ce1133cbdd27d53ee7d%1768312129.152",
-        "grpc/1.78.1#b1a9e74b145cc471bed4dc64dc6eb2c1%1772623605.068",
+        "grpc/1.72.0#f244a57bff01e708c55a1100b12e1589%1765850193.734",
        "ed25519/2015.03#ae761bdc52730a843f0809bdf6c1b1f6%1765850143.772",
        "date/3.0.4#862e11e80030356b53c2c38599ceb32b%1765850143.772",
-        "c-ares/1.34.6#545240bb1c40e2cacd4362d6b8967650%1774439234.681",
+        "c-ares/1.34.5#5581c2b62a608b40bb85d965ab3ec7c8%1765850144.336",
        "bzip2/1.0.8#c470882369c2d95c5c77e970c0c7e321%1765850143.837",
        "boost/1.90.0#d5e8defe7355494953be18524a7f135b%1769454080.269",
-        "abseil/20250127.0#bb0baf1f362bc4a725a24eddd419b8f7%1774365460.196"
+        "abseil/20250127.0#99262a368bd01c0ccca8790dfced9719%1766517936.993"
    ],
    "build_requires": [
-        "zlib/1.3.1#cac0f6daea041b0ccf42934163defb20%1774439233.809",
-        "strawberryperl/5.32.1.1#8d114504d172cfea8ea1662d09b6333e%1774447376.964",
-        "protobuf/6.33.5#d96d52ba5baaaa532f47bda866ad87a5%1773224203.27",
+        "zlib/1.3.1#b8bc2603263cf7eccbd6e17e66b0ed76%1765850150.075",
+        "strawberryperl/5.32.1.1#707032463aa0620fa17ec0d887f5fe41%1765850165.196",
+        "protobuf/6.32.1#f481fd276fc23a33b85a3ed1e898b693%1765850161.038",
+        "pkgconf/2.5.1#93c2051284cba1279494a43a4fcfeae2%1757684701.089",
+        "opentelemetry-proto/1.4.0#4096a3b05916675ef9628f3ffd571f51%1732731336.11",
+        "ninja/1.13.2#c8c5dc2a52ed6e4e42a66d75b4717ceb%1764096931.974",
        "nasm/2.16.01#31e26f2ee3c4346ecd347911bd126904%1765850144.707",
-        "msys2/cci.latest#d22fe7b2808f5fd34d0a7923ace9c54f%1770657326.649",
-        "m4/1.4.19#5d7a4994e5875d76faf7acf3ed056036%1774365463.87",
-        "cmake/4.3.0#b939a42e98f593fb34d3a8c5cc860359%1774439249.183",
-        "b2/5.4.2#ffd6084a119587e70f11cd45d1a386e2%1774439233.447",
+        "msys2/cci.latest#eea83308ad7e9023f7318c60d5a9e6cb%1770199879.083",
+        "meson/1.10.0#60786758ea978964c24525de19603cf4%1768294926.103",
+        "m4/1.4.19#70dc8bbb33e981d119d2acc0175cf381%1763158052.846",
+        "libtool/2.4.7#14e7739cc128bc1623d2ed318008e47e%1755679003.847",
+        "gnu-config/cci.20210814#466e9d4d7779e1c142443f7ea44b4284%1762363589.329",
+        "cmake/4.2.0#ae0a44f44a1ef9ab68fd4b3e9a1f8671%1765850153.937",
+        "cmake/3.31.10#313d16a1aa16bbdb2ca0792467214b76%1765850153.479",
+        "b2/5.3.3#107c15377719889654eb9a162a673975%1765850144.355",
        "automake/1.16.5#b91b7c384c3deaa9d535be02da14d04f%1755524470.56",
        "autoconf/2.71#51077f068e61700d65bb05541ea1e4b0%1731054366.86",
-        "abseil/20250127.0#bb0baf1f362bc4a725a24eddd419b8f7%1774365460.196"
+        "abseil/20250127.0#99262a368bd01c0ccca8790dfced9719%1766517936.993"
    ],
    "python_requires": [],
    "overrides": {
@@ -45,14 +55,14 @@
            null,
            "boost/1.90.0"
        ],
-        "protobuf/[>=5.27.0 <7]": [
-            "protobuf/6.33.5"
+        "protobuf/5.27.0": [
+            "protobuf/6.32.1"
        ],
        "lz4/1.9.4": [
            "lz4/1.10.0"
        ],
-        "sqlite3/[>=3.44 <4]": [
-            "sqlite3/3.51.0"
+        "sqlite3/3.44.2": [
+            "sqlite3/3.49.1"
        ],
        "boost/1.83.0": [
            "boost/1.90.0"
--- a/conanfile.py
+++ b/conanfile.py
@@ -1,9 +1,10 @@
-import os
 import re
+import os

 from conan.tools.cmake import CMake, CMakeToolchain, cmake_layout

 from conan import ConanFile
+from conan import __version__ as conan_version


 class Xrpl(ConanFile):
@@ -22,6 +23,7 @@ class Xrpl(ConanFile):
        "rocksdb": [True, False],
        "shared": [True, False],
        "static": [True, False],
+        "telemetry": [True, False],
        "tests": [True, False],
        "unity": [True, False],
        "xrpld": [True, False],
@@ -29,10 +31,10 @@ class Xrpl(ConanFile):

    requires = [
        "ed25519/2015.03",
-        "grpc/1.78.1",
+        "grpc/1.72.0",
        "libarchive/3.8.1",
        "nudb/2.0.9",
-        "openssl/3.6.1",
+        "openssl/3.5.5",
        "secp256k1/0.7.1",
        "soci/4.0.3",
        "zlib/1.3.1",
@@ -43,7 +45,7 @@ class Xrpl(ConanFile):
    ]

    tool_requires = [
-        "protobuf/6.33.5",
+        "protobuf/6.32.1",
    ]

    default_options = {
@@ -54,6 +56,7 @@ class Xrpl(ConanFile):
        "rocksdb": True,
        "shared": False,
        "static": True,
+        "telemetry": True,
        "tests": False,
        "unity": False,
        "xrpld": False,
@@ -136,16 +139,24 @@ class Xrpl(ConanFile):
                self.default_options["fPIC"] = False

    def requirements(self):
-        self.requires("boost/1.90.0", force=True, transitive_headers=True)
-        self.requires("date/3.0.4", transitive_headers=True)
+        # Conan 2 requires transitive headers to be specified
+        transitive_headers_opt = (
+            {"transitive_headers": True} if conan_version.split(".")[0] == "2" else {}
+        )
+        self.requires("boost/1.90.0", force=True, **transitive_headers_opt)
+        self.requires("date/3.0.4", **transitive_headers_opt)
        self.requires("lz4/1.10.0", force=True)
-        self.requires("protobuf/6.33.5", force=True)
-        self.requires("sqlite3/3.51.0", force=True)
+        self.requires("protobuf/6.32.1", force=True)
+        self.requires("sqlite3/3.49.1", force=True)
        if self.options.jemalloc:
            self.requires("jemalloc/5.3.0")
        if self.options.rocksdb:
            self.requires("rocksdb/10.5.1")
-        self.requires("xxhash/0.8.3", transitive_headers=True)
+        # OpenTelemetry C++ SDK for distributed tracing (optional).
+        # Provides OTLP/HTTP exporter, batch span processor, and trace API.
+        if self.options.telemetry:
+            self.requires("opentelemetry-cpp/1.18.0")
+        self.requires("xxhash/0.8.3", **transitive_headers_opt)

    exports_sources = (
        "CMakeLists.txt",
@@ -173,6 +184,7 @@ class Xrpl(ConanFile):
        tc.variables["rocksdb"] = self.options.rocksdb
        tc.variables["BUILD_SHARED_LIBS"] = self.options.shared
        tc.variables["static"] = self.options.static
+        tc.variables["telemetry"] = self.options.telemetry
        tc.variables["unity"] = self.options.unity
        tc.variables["xrpld"] = self.options.xrpld
        tc.generate()
@@ -225,3 +237,5 @@ class Xrpl(ConanFile):
        ]
        if self.options.rocksdb:
            libxrpl.requires.append("rocksdb::librocksdb")
+        if self.options.telemetry:
+            libxrpl.requires.append("opentelemetry-cpp::opentelemetry-cpp")
--- a/cspell.config.yaml
+++ b/cspell.config.yaml
@@ -87,6 +87,8 @@ words:
  - daria
  - dcmake
  - dearmor
+  - Dedup
+  - dedup
  - deleteme
  - demultiplexer
  - deserializaton
@@ -97,6 +99,7 @@ words:
  - doxyfile
  - dxrpl
  - endmacro
+  - EOCFG
  - exceptioned
  - Falco
  - fcontext
@@ -142,6 +145,7 @@ words:
  - libxrpl
  - llection
  - LOCALGOOD
+  - logql
  - logwstream
  - lseq
  - lsmf
@@ -182,6 +186,7 @@ words:
  - NOLINTNEXTLINE
  - nonxrp
  - noripple
+  - nostd
  - nudb
  - nullptr
  - nunl
@@ -194,8 +199,11 @@ words:
  - permdex
  - perminute
  - permissioned
+  - pgrep
+  - pkill
  - pointee
  - populator
+  - pratik
  - preauth
  - preauthorization
  - preauthorize
@@ -210,7 +218,9 @@ words:
  - qalloc
  - queuable
  - Raphson
+  - reparent
  - replayer
+  - reqps
  - rerere
  - retriable
  - RIPD
@@ -267,6 +277,7 @@ words:
  - txjson
  - txn
  - txns
+  - txqueue
  - txs
  - UBSAN
  - ubsan
@@ -297,7 +308,6 @@ words:
  - venv
  - vfalco
  - vinnie
-  - wasmi
  - wextra
  - wptr
  - writeme
@@ -307,6 +317,10 @@ words:
  - xchain
  - ximinez
  - EXPECT_STREQ
+  - Gantt
+  - gantt
+  - otelc
+  - traceql
  - XMACRO
  - xrpkuwait
  - xrpl
@@ -314,3 +328,5 @@ words:
  - xrplf
  - xxhash
  - xxhasher
+  - xychart
+  - zpages
--- a/docker/telemetry/TESTING.md
+++ b/docker/telemetry/TESTING.md
@@ -0,0 +1,703 @@
+# OpenTelemetry Integration Testing Guide
+
+This document describes how to verify the rippled OpenTelemetry telemetry
+pipeline end-to-end, from span generation through the observability stack
+(otel-collector, Jaeger, Prometheus, Grafana).
+
+---
+
+## Prerequisites
+
+### Build xrpld with telemetry
+
+```bash
+conan install . --build=missing -o telemetry=True
+cmake --preset default -Dtelemetry=ON
+cmake --build --preset default --target xrpld
+```
+
+The binary is at `.build/xrpld`.
+
+### Required tools
+
+- **Docker** with `docker compose` (v2)
+- **curl**
+- **jq** (JSON processor)
+
+### Verify binary
+
+```bash
+.build/xrpld --version
+```
+
+---
+
+## Test 1: Single-Node Standalone (Quick Verification)
+
+This test verifies RPC and transaction spans in standalone mode. Consensus
+spans will not fire because standalone mode does not run consensus.
+
+### Step 1: Start the observability stack
+
+```bash
+docker compose -f docker/telemetry/docker-compose.yml up -d
+```
+
+Wait for services to be ready:
+
+```bash
+# otel-collector health
+curl -sf http://localhost:13133/ && echo "collector ready"
+
+# Jaeger UI
+curl -sf http://localhost:16686/ > /dev/null && echo "jaeger ready"
+```
+
+### Step 2: Start xrpld in standalone mode
+
+```bash
+.build/xrpld --conf docker/telemetry/xrpld-telemetry.cfg -a --start
+```
+
+Wait a few seconds for the node to initialize.
+
+### Step 3: Exercise RPC spans
+
+```bash
+# server_info
+curl -s http://localhost:5005 \
+  -d '{"method":"server_info"}' | jq .result.info.server_state
+
+# server_state
+curl -s http://localhost:5005 \
+  -d '{"method":"server_state"}' | jq .result.state.server_state
+
+# ledger
+curl -s http://localhost:5005 \
+  -d '{"method":"ledger","params":[{"ledger_index":"current"}]}' \
+  | jq .result.ledger_current_index
+```
+
+### Step 4: Submit a transaction
+
+Close the ledger first (required in standalone mode):
+
+```bash
+curl -s http://localhost:5005 -d '{"method":"ledger_accept"}'
+```
+
+Submit a Payment from the genesis account:
+
+```bash
+curl -s http://localhost:5005 -d '{
+  "method": "submit",
+  "params": [{
+    "secret": "snoPBrXtMeMyMHUVTgbuqAfg1SUTb",
+    "tx_json": {
+      "TransactionType": "Payment",
+      "Account": "rHb9CJAWyB4rj91VRWn96DkukG4bwdtyTh",
+      "Destination": "rPMh7Pi9ct699iZUTWzJaUMR1o42VEfGqF",
+      "Amount": "10000000"
+    }
+  }]
+}' | jq .result.engine_result
+```
+
+Expected result: `"tesSUCCESS"`.
+
+Close the ledger again to finalize:
+
+```bash
+curl -s http://localhost:5005 -d '{"method":"ledger_accept"}'
+```
+
+### Step 5: Verify traces in Jaeger
+
+Wait 5 seconds for the batch export, then:
+
+```bash
+JAEGER="http://localhost:16686"
+
+# Check rippled service is registered
+curl -s "$JAEGER/api/services" | jq '.data'
+
+# Check RPC spans
+curl -s "$JAEGER/api/traces?service=rippled&operation=rpc.request&limit=5&lookback=1h" \
+  | jq '.data | length'
+
+curl -s "$JAEGER/api/traces?service=rippled&operation=rpc.process&limit=5&lookback=1h" \
+  | jq '.data | length'
+
+curl -s "$JAEGER/api/traces?service=rippled&operation=rpc.command.server_info&limit=5&lookback=1h" \
+  | jq '.data | length'
+
+# Check transaction spans
+curl -s "$JAEGER/api/traces?service=rippled&operation=tx.process&limit=5&lookback=1h" \
+  | jq '.data | length'
+```
+
+Or open the Jaeger UI: http://localhost:16686
+
+### Step 6: Teardown
+
+```bash
+# Kill xrpld (Ctrl+C or)
+kill $(pgrep -f 'xrpld.*xrpld-telemetry')
+
+# Stop observability stack
+docker compose -f docker/telemetry/docker-compose.yml down
+
+# Clean xrpld data
+rm -rf data/
+```
+
+### Expected spans (standalone mode)
+
+| Span Name                   | Expected | Notes                         |
+| --------------------------- | -------- | ----------------------------- |
+| `rpc.request`               | Yes      | Every HTTP RPC call           |
+| `rpc.process`               | Yes      | Every RPC processing          |
+| `rpc.command.server_info`   | Yes      | server_info RPC               |
+| `rpc.command.server_state`  | Yes      | server_state RPC              |
+| `rpc.command.ledger`        | Yes      | ledger RPC                    |
+| `rpc.command.submit`        | Yes      | submit RPC                    |
+| `rpc.command.ledger_accept` | Yes      | ledger_accept RPC             |
+| `tx.process`                | Yes      | Transaction submission        |
+| `tx.receive`                | No       | No peers in standalone        |
+| `consensus.*`               | No       | Consensus disabled standalone |
+
+---
+
+## Test 2: 6-Node Consensus Network (Full Verification)
+
+This test verifies ALL span categories including consensus and peer
+transaction relay, using a 6-node validator network.
+
+### Automated
+
+Run the integration test script:
+
+```bash
+bash docker/telemetry/integration-test.sh
+```
+
+The script will:
+
+1. Start the observability stack
+2. Generate 6 validator key pairs
+3. Create config files for each node
+4. Start all 6 nodes
+5. Wait for consensus ("proposing" state)
+6. Exercise RPC, submit transactions
+7. Verify all span categories in Jaeger
+8. Verify spanmetrics in Prometheus
+9. Print results and leave the stack running
+
+### Manual
+
+If you prefer to run the steps manually:
+
+#### Step 1: Start observability stack
+
+```bash
+docker compose -f docker/telemetry/docker-compose.yml up -d
+```
+
+#### Step 2: Generate validator keys
+
+Start a temporary standalone xrpld:
+
+```bash
+.build/xrpld --conf docker/telemetry/xrpld-telemetry.cfg -a --start &
+TEMP_PID=$!
+sleep 5
+```
+
+Generate 6 key pairs:
+
+```bash
+for i in $(seq 1 6); do
+  curl -s http://localhost:5005 \
+    -d '{"method":"validation_create"}' | jq '.result'
+done
+```
+
+Record the `validation_seed` and `validation_public_key` for each.
+Kill the temporary node:
+
+```bash
+kill $TEMP_PID
+rm -rf data/
+```
+
+#### Step 3: Create node configs
+
+For each node (1-6), create a config file. Template:
+
+```ini
+[server]
+port_rpc
+port_peer
+
+[port_rpc]
+port = {5004 + node_number}
+ip = 127.0.0.1
+admin = 127.0.0.1
+protocol = http
+
+[port_peer]
+port = {51234 + node_number}
+ip = 0.0.0.0
+protocol = peer
+
+[node_db]
+type=NuDB
+path=/tmp/xrpld-integration/node{N}/nudb
+online_delete=256
+
+[database_path]
+/tmp/xrpld-integration/node{N}/db
+
+[debug_logfile]
+/tmp/xrpld-integration/node{N}/debug.log
+
+[validation_seed]
+{seed from step 2}
+
+[validators_file]
+/tmp/xrpld-integration/validators.txt
+
+[ips_fixed]
+127.0.0.1 51235
+127.0.0.1 51236
+127.0.0.1 51237
+127.0.0.1 51238
+127.0.0.1 51239
+127.0.0.1 51240
+
+[peer_private]
+1
+
+[telemetry]
+enabled=1
+endpoint=http://localhost:4318/v1/traces
+exporter=otlp_http
+sampling_ratio=1.0
+batch_size=512
+batch_delay_ms=2000
+max_queue_size=2048
+trace_rpc=1
+trace_transactions=1
+trace_consensus=1
+trace_peer=0
+trace_ledger=1
+
+[rpc_startup]
+{ "command": "log_level", "severity": "warning" }
+
+[ssl_verify]
+0
+```
+
+#### Step 4: Create validators.txt
+
+```ini
+[validators]
+{public_key_1}
+{public_key_2}
+{public_key_3}
+{public_key_4}
+{public_key_5}
+{public_key_6}
+```
+
+#### Step 5: Start all 6 nodes
+
+```bash
+for i in $(seq 1 6); do
+  .build/xrpld --conf /tmp/xrpld-integration/node$i/xrpld.cfg --start &
+  echo $! > /tmp/xrpld-integration/node$i/xrpld.pid
+done
+```
+
+#### Step 6: Wait for consensus
+
+Poll each node until `server_state` = `"proposing"`:
+
+```bash
+for port in 5005 5006 5007 5008 5009 5010; do
+  while true; do
+    state=$(curl -s http://localhost:$port \
+      -d '{"method":"server_info"}' \
+      | jq -r '.result.info.server_state')
+    echo "Port $port: $state"
+    [ "$state" = "proposing" ] && break
+    sleep 5
+  done
+done
+```
+
+#### Step 7: Exercise RPC and submit transaction
+
+```bash
+# RPC calls
+curl -s http://localhost:5005 -d '{"method":"server_info"}'
+curl -s http://localhost:5005 -d '{"method":"server_state"}'
+curl -s http://localhost:5005 -d '{"method":"ledger","params":[{"ledger_index":"current"}]}'
+
+# Submit transaction
+curl -s http://localhost:5005 -d '{
+  "method": "submit",
+  "params": [{
+    "secret": "snoPBrXtMeMyMHUVTgbuqAfg1SUTb",
+    "tx_json": {
+      "TransactionType": "Payment",
+      "Account": "rHb9CJAWyB4rj91VRWn96DkukG4bwdtyTh",
+      "Destination": "rPMh7Pi9ct699iZUTWzJaUMR1o42VEfGqF",
+      "Amount": "10000000"
+    }
+  }]
+}'
+```
+
+Wait 15 seconds for consensus and batch export.
+
+#### Step 8: Verify in Jaeger
+
+See the "Verification Queries" section below.
+
+---
+
+## Expected Span Catalog
+
+All 16 production span names instrumented across Phases 2-5:
+
+| Span Name                   | Source File           | Phase | Key Attributes                                                                           | How to Trigger            |
+| --------------------------- | --------------------- | ----- | ---------------------------------------------------------------------------------------- | ------------------------- |
+| `rpc.request`               | ServerHandler.cpp:271 | 2     | --                                                                                       | Any HTTP RPC call         |
+| `rpc.process`               | ServerHandler.cpp:573 | 2     | --                                                                                       | Any HTTP RPC call         |
+| `rpc.ws_message`            | ServerHandler.cpp:384 | 2     | --                                                                                       | WebSocket RPC message     |
+| `rpc.command.<name>`        | RPCHandler.cpp:161    | 2     | `xrpl.rpc.command`, `xrpl.rpc.version`, `xrpl.rpc.role`                                  | Any RPC command           |
+| `tx.process`                | NetworkOPs.cpp:1227   | 3     | `xrpl.tx.hash`, `xrpl.tx.local`, `xrpl.tx.path`                                          | Submit transaction        |
+| `tx.receive`                | PeerImp.cpp:1273      | 3     | `xrpl.peer.id`                                                                           | Peer relays transaction   |
+| `consensus.proposal.send`   | RCLConsensus.cpp:177  | 4     | `xrpl.consensus.round`                                                                   | Consensus proposing phase |
+| `consensus.ledger_close`    | RCLConsensus.cpp:282  | 4     | `xrpl.consensus.ledger.seq`, `xrpl.consensus.mode`                                       | Ledger close event        |
+| `consensus.accept`          | RCLConsensus.cpp:395  | 4     | `xrpl.consensus.proposers`, `xrpl.consensus.round_time_ms`                               | Ledger accepted           |
+| `consensus.validation.send` | RCLConsensus.cpp:753  | 4     | `xrpl.consensus.ledger.seq`, `xrpl.consensus.proposing`                                  | Validation sent           |
+| `consensus.accept.apply`    | RCLConsensus.cpp:453  | 4     | `xrpl.consensus.close_time`, `close_time_correct`, `close_resolution_ms`, `state`        | Ledger apply + close time |
+| `tx.apply`                  | BuildLedger.cpp:88    | 5     | `xrpl.ledger.tx_count`, `xrpl.ledger.tx_failed`                                          | Ledger close (tx set)     |
+| `ledger.build`              | BuildLedger.cpp:31    | 5     | `xrpl.ledger.seq`, `xrpl.ledger.close_time`, `close_time_correct`, `close_resolution_ms` | Ledger build              |
+| `ledger.validate`           | LedgerMaster.cpp:915  | 5     | `xrpl.ledger.seq`, `xrpl.ledger.validations`                                             | Ledger validated          |
+| `ledger.store`              | LedgerMaster.cpp:409  | 5     | `xrpl.ledger.seq`                                                                        | Ledger stored             |
+| `peer.proposal.receive`     | PeerImp.cpp:1667      | 5     | `xrpl.peer.id`, `xrpl.peer.proposal.trusted`                                             | Peer sends proposal       |
+| `peer.validation.receive`   | PeerImp.cpp:2264      | 5     | `xrpl.peer.id`, `xrpl.peer.validation.trusted`                                           | Peer sends validation     |
+
+---
+
+## Verification Queries
+
+### Jaeger API
+
+Base URL: `http://localhost:16686`
+
+```bash
+JAEGER="http://localhost:16686"
+
+# List all services
+curl -s "$JAEGER/api/services" | jq '.data'
+
+# List operations for rippled
+curl -s "$JAEGER/api/services/rippled/operations" | jq '.data'
+
+# Query traces by operation
+for op in "rpc.request" "rpc.process" \
+          "rpc.command.server_info" "rpc.command.server_state" "rpc.command.ledger" \
+          "tx.process" "tx.receive" "tx.apply" \
+          "consensus.proposal.send" "consensus.ledger_close" \
+          "consensus.accept" "consensus.accept.apply" \
+          "consensus.validation.send" \
+          "ledger.build" "ledger.validate" "ledger.store" \
+          "peer.proposal.receive" "peer.validation.receive"; do
+  count=$(curl -s "$JAEGER/api/traces?service=rippled&operation=$op&limit=5&lookback=1h" \
+    | jq '.data | length')
+  printf "%-35s %s traces\n" "$op" "$count"
+done
+```
+
+### Prometheus API
+
+Base URL: `http://localhost:9090`
+
+```bash
+PROM="http://localhost:9090"
+
+# Span call counts (from spanmetrics connector)
+curl -s "$PROM/api/v1/query?query=traces_span_metrics_calls_total" \
+  | jq '.data.result[] | {span: .metric.span_name, count: .value[1]}'
+
+# Latency histogram
+curl -s "$PROM/api/v1/query?query=traces_span_metrics_duration_milliseconds_count" \
+  | jq '.data.result[] | {span: .metric.span_name, count: .value[1]}'
+
+# RPC calls by command
+curl -s "$PROM/api/v1/query?query=traces_span_metrics_calls_total{span_name=~\"rpc.command.*\"}" \
+  | jq '.data.result[] | {command: .metric["xrpl.rpc.command"], count: .value[1]}'
+```
+
+### System Metrics (beast::insight via OTel native)
+
+rippled's built-in `beast::insight` framework exports metrics natively via OTLP/HTTP to the OTel Collector
+on port 4318 (same endpoint as traces). These appear in Prometheus alongside spanmetrics.
+
+Requires `[insight]` config in `xrpld.cfg`:
+
+```ini
+[insight]
+server=otel
+endpoint=http://localhost:4318/v1/metrics
+prefix=rippled
+```
+
+Verify system metrics in Prometheus:
+
+```bash
+# Ledger age gauge
+curl -s "$PROM/api/v1/query?query=rippled_LedgerMaster_Validated_Ledger_Age" | jq '.data.result'
+
+# Peer counts
+curl -s "$PROM/api/v1/query?query=rippled_Peer_Finder_Active_Inbound_Peers" | jq '.data.result'
+
+# RPC request counter
+curl -s "$PROM/api/v1/query?query=rippled_rpc_requests" | jq '.data.result'
+
+# State accounting
+curl -s "$PROM/api/v1/query?query=rippled_State_Accounting_Full_duration" | jq '.data.result'
+
+# Overlay traffic
+curl -s "$PROM/api/v1/query?query=rippled_total_Bytes_In" | jq '.data.result'
+```
+
+Key system metrics (prefix `rippled_`):
+
+| Metric                                | Type      | Source                                    |
+| ------------------------------------- | --------- | ----------------------------------------- |
+| `LedgerMaster_Validated_Ledger_Age`   | gauge     | LedgerMaster.h:373                        |
+| `LedgerMaster_Published_Ledger_Age`   | gauge     | LedgerMaster.h:374                        |
+| `State_Accounting_{Mode}_duration`    | gauge     | NetworkOPs.cpp:774                        |
+| `State_Accounting_{Mode}_transitions` | gauge     | NetworkOPs.cpp:780                        |
+| `Peer_Finder_Active_Inbound_Peers`    | gauge     | PeerfinderManager.cpp:214                 |
+| `Peer_Finder_Active_Outbound_Peers`   | gauge     | PeerfinderManager.cpp:215                 |
+| `Overlay_Peer_Disconnects`            | gauge     | OverlayImpl.h:557                         |
+| `job_count`                           | gauge     | JobQueue.cpp:26                           |
+| `rpc_requests`                        | counter   | ServerHandler.cpp:108                     |
+| `rpc_time`                            | histogram | ServerHandler.cpp:110                     |
+| `rpc_size`                            | histogram | ServerHandler.cpp:109                     |
+| `ios_latency`                         | histogram | Application.cpp:438                       |
+| `pathfind_fast`                       | histogram | PathRequests.h:23                         |
+| `pathfind_full`                       | histogram | PathRequests.h:24                         |
+| `ledger_fetches`                      | counter   | InboundLedgers.cpp:44                     |
+| `ledger_history_mismatch`             | counter   | LedgerHistory.cpp:16                      |
+| `warn`                                | counter   | Logic.h:33                                |
+| `drop`                                | counter   | Logic.h:34                                |
+| `{category}_Bytes_In/Out`             | gauge     | OverlayImpl.h:535 (57 traffic categories) |
+| `{category}_Messages_In/Out`          | gauge     | OverlayImpl.h:535 (57 traffic categories) |
+
+### Grafana
+
+Open http://localhost:3000 (anonymous admin access enabled).
+
+Pre-configured dashboards (span-derived):
+
+- **RPC Performance**: Request rates, latency percentiles by command, top commands, WebSocket rate
+- **Transaction Overview**: Transaction processing rates, apply duration, peer relay, failed tx rate
+- **Consensus Health**: Consensus round duration, proposer counts, mode tracking, accept heatmap
+- **Ledger Operations**: Build/validate/store rates and durations, TX apply metrics
+- **Peer Network**: Proposal/validation receive rates, trusted vs untrusted breakdown (requires `trace_peer=1`)
+
+Pre-configured dashboards (system metrics):
+
+- **Node Health (System Metrics)**: Validated/published ledger age, operating mode, I/O latency, job queue
+- **Network Traffic (System Metrics)**: Peer counts, disconnects, overlay traffic by category
+- **RPC & Pathfinding (System Metrics)**: RPC request rate/time/size, pathfinding duration, resource warnings
+
+Pre-configured datasources:
+
+- **Jaeger**: Trace data at `http://jaeger:16686`
+- **Tempo**: Trace data at `http://tempo:3200` (via Grafana Explore)
+- **Prometheus**: Metrics at `http://prometheus:9090`
+- **Loki**: Log data at `http://loki:3100` (via Grafana Explore)
+
+---
+
+## Test 3: Log-Trace Correlation (Phase 8)
+
+Phase 8 injects `trace_id` and `span_id` into rippled's log output when
+a log line is emitted within an active OTel span. This test verifies the
+end-to-end log-trace correlation pipeline.
+
+### Step 1: Verify trace_id in log output
+
+After running Test 1 or Test 2 (which generate RPC spans), check the
+rippled debug.log for trace context:
+
+```bash
+grep 'trace_id=[a-f0-9]\{32\} span_id=[a-f0-9]\{16\}' /path/to/debug.log
+```
+
+Expected: log lines with `trace_id=<32hex> span_id=<16hex>` between the
+severity code and the message. Example:
+
+```
+2024-01-15T10:30:45.123Z RPCHandler:NFO trace_id=abc123def456789012345678abcdef01 span_id=0123456789abcdef Calling server_info
+```
+
+Lines emitted outside of an active span (background tasks, startup) will
+NOT have trace context — this is expected.
+
+### Step 2: Cross-check trace_id in Jaeger
+
+Extract a `trace_id` from the log and verify it exists in Jaeger:
+
+```bash
+TRACE_ID=$(grep -o 'trace_id=[a-f0-9]\{32\}' /path/to/debug.log | head -1 | cut -d= -f2)
+echo "Checking trace: $TRACE_ID"
+curl -s "http://localhost:16686/api/traces/$TRACE_ID" | jq '.data | length'
+```
+
+Expected result: `1` (the trace exists in Jaeger).
+
+### Step 3: Verify Loki log ingestion
+
+The OTel Collector's filelog receiver tails rippled's debug.log and
+exports parsed entries to Loki. Verify Loki has received entries:
+
+```bash
+# Query Loki for any rippled logs
+curl -sG "http://localhost:3100/loki/api/v1/query" \
+  --data-urlencode 'query={job="rippled"}' \
+  --data-urlencode 'limit=5' | jq '.data.result | length'
+```
+
+Expected: > 0 results.
+
+### Step 4: Verify Grafana Tempo-to-Loki correlation
+
+1. Open Grafana at http://localhost:3000
+2. Navigate to **Explore** -> select **Tempo** datasource
+3. Search for a trace (e.g., operation `rpc.command.server_info`)
+4. Click **"Logs for this trace"** in the trace detail view
+5. Verify that Loki log lines appear, filtered by the trace's `trace_id`
+
+### Step 5: Verify Grafana Loki-to-Tempo correlation
+
+1. In Grafana **Explore**, select **Loki** datasource
+2. Query: `{job="rippled"} |= "trace_id="`
+3. In the log results, click the **TraceID** derived field link
+4. Verify it navigates to the full trace in Tempo
+
+### Expected results
+
+| Check                          | Expected                                 |
+| ------------------------------ | ---------------------------------------- |
+| `trace_id=` in debug.log       | Present in log lines within active spans |
+| `span_id=` in debug.log        | Present alongside trace_id               |
+| Logs without active span       | No trace_id/span_id fields               |
+| trace_id in Jaeger             | Matches a valid trace                    |
+| Loki log ingestion             | Logs visible via LogQL                   |
+| Tempo -> Loki "Logs for trace" | Shows correlated log lines               |
+| Loki -> Tempo TraceID link     | Navigates to correct trace               |
+
+---
+
+## Troubleshooting
+
+### No traces in Jaeger
+
+1. Check otel-collector logs:
+   ```bash
+   docker compose -f docker/telemetry/docker-compose.yml logs otel-collector
+   ```
+2. Verify xrpld telemetry config has `enabled=1` and correct endpoint
+3. Check that otel-collector port 4318 is accessible:
+   ```bash
+   curl -sf http://localhost:4318 && echo "reachable"
+   ```
+4. Increase `batch_delay_ms` or decrease `batch_size` in xrpld config
+
+### Nodes not reaching "proposing" state
+
+1. Check that all peer ports (51235-51240) are not in use:
+   ```bash
+   for p in 51235 51236 51237 51238 51239 51240; do
+     ss -tlnp | grep ":$p " && echo "port $p in use"
+   done
+   ```
+2. Verify `[ips_fixed]` lists all 6 peer ports
+3. Verify `validators.txt` has all 6 public keys
+4. Check node debug logs: `tail -50 /tmp/xrpld-integration/node1/debug.log`
+5. Ensure `[peer_private]` is set to `1` (prevents reaching out to public network)
+
+### Transaction not processing
+
+1. Verify genesis account exists:
+   ```bash
+   curl -s http://localhost:5005 \
+     -d '{"method":"account_info","params":[{"account":"rHb9CJAWyB4rj91VRWn96DkukG4bwdtyTh"}]}' \
+     | jq .result.account_data.Balance
+   ```
+2. Check submit response for error codes
+3. In standalone mode, remember to call `ledger_accept` after submitting
+
+### No trace_id in log output (Phase 8)
+
+1. Verify rippled was built with `telemetry=ON` (`-Dtelemetry=ON` in CMake)
+2. Verify `enabled=1` in the `[telemetry]` config section
+3. Log lines only contain trace context when emitted inside an active span.
+   Background logs (startup, periodic tasks outside spans) will not have
+   `trace_id`/`span_id`.
+4. Ensure the trace category is enabled (e.g., `trace_rpc=1` for RPC logs)
+
+### No logs in Loki (Phase 8)
+
+1. Verify the log file mount in docker-compose.yml:
+   ```yaml
+   volumes:
+     - /tmp/xrpld-integration:/var/log/rippled:ro
+   ```
+2. Check OTel Collector logs for filelog receiver errors:
+   ```bash
+   docker compose -f docker/telemetry/docker-compose.yml logs otel-collector | grep -i "filelog\|loki\|error"
+   ```
+3. Verify Loki is running:
+   ```bash
+   curl -s http://localhost:3100/ready
+   ```
+4. Verify the filelog receiver glob pattern matches your log files:
+   The default pattern is `/var/log/rippled/*/debug.log`
+
+### Grafana trace-log links not working (Phase 8)
+
+1. Verify `tracesToLogs` is configured in the Tempo datasource provisioning
+   (`docker/telemetry/grafana/provisioning/datasources/tempo.yaml`)
+2. Verify `derivedFields` is configured in the Loki datasource provisioning
+   (`docker/telemetry/grafana/provisioning/datasources/loki.yaml`)
+3. Restart Grafana after changing provisioning files:
+   ```bash
+   docker compose -f docker/telemetry/docker-compose.yml restart grafana
+   ```
+
+### Spanmetrics not appearing in Prometheus
+
+1. Verify otel-collector config has `spanmetrics` connector
+2. Check that the metrics pipeline is configured:
+   ```yaml
+   service:
+     pipelines:
+       metrics:
+         receivers: [otlp, spanmetrics]
+         exporters: [prometheus]
+   ```
+3. Verify Prometheus can reach collector:
+   ```bash
+   curl -s http://localhost:9090/api/v1/targets | jq '.data.activeTargets'
+   ```
--- a/docker/telemetry/docker-compose.yml
+++ b/docker/telemetry/docker-compose.yml
@@ -0,0 +1,118 @@
+# Docker Compose stack for rippled OpenTelemetry observability.
+#
+# Provides services for local development:
+#   - otel-collector: receives OTLP traces from rippled, batches and
+#     forwards them to Jaeger and Tempo. Also tails rippled log files
+#     via filelog receiver and exports to Loki. Listens on ports
+#     4317 (gRPC), 4318 (HTTP), and 8125 (StatsD UDP).
+#   - jaeger: all-in-one tracing backend with UI on port 16686.
+#   - tempo: Grafana Tempo tracing backend, queryable via Grafana Explore
+#     on port 3000. Recommended for production (S3/GCS storage, TraceQL).
+#   - loki: Grafana Loki log aggregation backend for centralized log
+#     ingestion and log-trace correlation (Phase 8).
+#   - grafana: dashboards on port 3000, pre-configured with Jaeger, Tempo,
+#     Prometheus, and Loki datasources.
+#
+# Usage:
+#   docker compose -f docker/telemetry/docker-compose.yml up -d
+#
+# Configure rippled to export traces by adding to xrpld.cfg:
+#   [telemetry]
+#   enabled=1
+#   endpoint=http://localhost:4318/v1/traces
+
+version: "3.8"
+
+services:
+  otel-collector:
+    image: otel/opentelemetry-collector-contrib:latest
+    command: ["--config=/etc/otel-collector-config.yaml"]
+    ports:
+      - "4317:4317" # OTLP gRPC
+      - "4318:4318" # OTLP HTTP (traces + native OTel metrics)
+      - "8889:8889" # Prometheus metrics (spanmetrics + OTLP)
+      - "13133:13133" # Health check
+      # StatsD UDP port removed — beast::insight now uses native OTLP.
+      # Uncomment if using server=statsd fallback:
+      # - "8125:8125/udp"
+    volumes:
+      - ./otel-collector-config.yaml:/etc/otel-collector-config.yaml:ro
+      # Phase 8: Mount rippled log directory for filelog receiver.
+      # The integration test writes logs to /tmp/xrpld-integration/;
+      # mount it read-only so the collector can tail debug.log files.
+      - /tmp/xrpld-integration:/var/log/rippled:ro
+    depends_on:
+      - jaeger
+      - tempo
+      - loki
+    networks:
+      - rippled-telemetry
+
+  jaeger:
+    image: jaegertracing/all-in-one:latest
+    environment:
+      - COLLECTOR_OTLP_ENABLED=true
+    ports:
+      - "16686:16686" # Jaeger UI
+      - "14250:14250" # gRPC
+    networks:
+      - rippled-telemetry
+
+  tempo:
+    image: grafana/tempo:2.7.2
+    command: ["-config.file=/etc/tempo.yaml"]
+    ports:
+      - "3200:3200" # Tempo HTTP API (health, query)
+    volumes:
+      - ./tempo.yaml:/etc/tempo.yaml:ro
+      - tempo-data:/var/tempo
+    networks:
+      - rippled-telemetry
+
+  # Phase 8: Grafana Loki for centralized log ingestion and log-trace
+  # correlation. Loki 3.x supports native OTLP ingestion, so the OTel
+  # Collector exports via otlphttp to Loki's /otlp endpoint.
+  # Query logs via Grafana Explore -> Loki at http://localhost:3000.
+  loki:
+    image: grafana/loki:3.4.2
+    ports:
+      - "3100:3100"
+    command: -config.file=/etc/loki/local-config.yaml
+    networks:
+      - rippled-telemetry
+
+  prometheus:
+    image: prom/prometheus:latest
+    ports:
+      - "9090:9090"
+    volumes:
+      - ./prometheus.yml:/etc/prometheus/prometheus.yml:ro
+    depends_on:
+      - otel-collector
+    networks:
+      - rippled-telemetry
+
+  grafana:
+    image: grafana/grafana:latest
+    environment:
+      - GF_AUTH_ANONYMOUS_ENABLED=true
+      - GF_AUTH_ANONYMOUS_ORG_ROLE=Admin
+    ports:
+      - "3000:3000"
+    volumes:
+      - ./grafana/provisioning:/etc/grafana/provisioning:ro
+      - ./grafana/dashboards:/var/lib/grafana/dashboards:ro
+    depends_on:
+      - jaeger
+      - tempo
+      - prometheus
+      - loki
+    networks:
+      - rippled-telemetry
+
+volumes:
+  tempo-data:
+
+networks:
+  rippled-telemetry:
+    driver: bridge
--- a/docker/telemetry/grafana/dashboards/consensus-health.json
+++ b/docker/telemetry/grafana/dashboards/consensus-health.json
@@ -0,0 +1,454 @@
+{
+  "annotations": {
+    "list": []
+  },
+  "editable": true,
+  "fiscalYearStartMonth": 0,
+  "graphTooltip": 1,
+  "id": null,
+  "links": [],
+  "panels": [
+    {
+      "title": "Consensus Round Duration",
+      "description": "p95 and p50 duration of consensus accept rounds. The consensus.accept span (RCLConsensus.cpp:395) measures the time to process an accepted ledger including transaction application and state finalization. The span carries xrpl.consensus.proposers and xrpl.consensus.round_time_ms attributes. Normal range is 3-6 seconds on mainnet.",
+      "type": "timeseries",
+      "gridPos": {
+        "h": 8,
+        "w": 12,
+        "x": 0,
+        "y": 0
+      },
+      "options": {
+        "tooltip": {
+          "mode": "multi",
+          "sort": "desc"
+        }
+      },
+      "targets": [
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "histogram_quantile(0.95, sum by (le, exported_instance) (rate(traces_span_metrics_duration_milliseconds_bucket{exported_instance=~\"$node\", span_name=\"consensus.accept\"}[5m])))",
+          "legendFormat": "P95 Round Duration [{{exported_instance}}]"
+        },
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "histogram_quantile(0.50, sum by (le, exported_instance) (rate(traces_span_metrics_duration_milliseconds_bucket{exported_instance=~\"$node\", span_name=\"consensus.accept\"}[5m])))",
+          "legendFormat": "P50 Round Duration [{{exported_instance}}]"
+        }
+      ],
+      "fieldConfig": {
+        "defaults": {
+          "unit": "ms",
+          "custom": {
+            "axisLabel": "Duration (ms)",
+            "spanNulls": true,
+            "insertNulls": false,
+            "showPoints": "auto",
+            "pointSize": 3
+          }
+        },
+        "overrides": []
+      }
+    },
+    {
+      "title": "Consensus Proposals Sent Rate",
+      "description": "Rate at which this node sends consensus proposals to the network. Sourced from the consensus.proposal.send span (RCLConsensus.cpp:177) which fires each time the node proposes a transaction set. The span carries xrpl.consensus.round identifying the consensus round number. A healthy proposing node should show steady proposal output.",
+      "type": "timeseries",
+      "gridPos": {
+        "h": 8,
+        "w": 12,
+        "x": 12,
+        "y": 0
+      },
+      "options": {
+        "tooltip": {
+          "mode": "multi",
+          "sort": "desc"
+        }
+      },
+      "targets": [
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "sum by (exported_instance) (rate(traces_span_metrics_calls_total{exported_instance=~\"$node\", span_name=\"consensus.proposal.send\"}[5m]))",
+          "legendFormat": "Proposals / Sec [{{exported_instance}}]"
+        }
+      ],
+      "fieldConfig": {
+        "defaults": {
+          "unit": "ops",
+          "custom": {
+            "axisLabel": "Proposals / Sec",
+            "spanNulls": true,
+            "insertNulls": false,
+            "showPoints": "auto",
+            "pointSize": 3
+          }
+        },
+        "overrides": []
+      }
+    },
+    {
+      "title": "Ledger Close Duration",
+      "description": "p95 duration of the ledger close event. The consensus.ledger_close span (RCLConsensus.cpp:282) measures the time from when consensus triggers a ledger close to completion. Carries xrpl.consensus.ledger.seq and xrpl.consensus.mode attributes. Compare with Consensus Round Duration to understand how close timing relates to overall round time.",
+      "type": "timeseries",
+      "gridPos": {
+        "h": 8,
+        "w": 12,
+        "x": 0,
+        "y": 8
+      },
+      "options": {
+        "tooltip": {
+          "mode": "multi",
+          "sort": "desc"
+        }
+      },
+      "targets": [
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "histogram_quantile(0.95, sum by (le, exported_instance) (rate(traces_span_metrics_duration_milliseconds_bucket{exported_instance=~\"$node\", span_name=\"consensus.ledger_close\"}[5m])))",
+          "legendFormat": "P95 Close Duration [{{exported_instance}}]"
+        }
+      ],
+      "fieldConfig": {
+        "defaults": {
+          "unit": "ms",
+          "custom": {
+            "axisLabel": "Duration (ms)",
+            "spanNulls": true,
+            "insertNulls": false,
+            "showPoints": "auto",
+            "pointSize": 3
+          }
+        },
+        "overrides": []
+      }
+    },
+    {
+      "title": "Validation Send Rate",
+      "description": "Rate at which this node sends ledger validations to the network. Sourced from the consensus.validation.send span (RCLConsensus.cpp:753). Each validation confirms the node has fully validated a ledger. The span carries xrpl.consensus.ledger.seq and xrpl.consensus.proposing. Should closely track the ledger close rate when the node is healthy.",
+      "type": "stat",
+      "gridPos": {
+        "h": 8,
+        "w": 12,
+        "x": 12,
+        "y": 8
+      },
+      "options": {
+        "tooltip": {
+          "mode": "multi",
+          "sort": "desc"
+        }
+      },
+      "targets": [
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "sum by (exported_instance) (rate(traces_span_metrics_calls_total{exported_instance=~\"$node\", span_name=\"consensus.validation.send\"}[5m]))",
+          "legendFormat": "Validations / Sec [{{exported_instance}}]"
+        }
+      ],
+      "fieldConfig": {
+        "defaults": {
+          "unit": "ops"
+        },
+        "overrides": []
+      }
+    },
+    {
+      "title": "Ledger Apply Duration (doAccept)",
+      "description": "Time spent applying the consensus result to build a new ledger. Measured by the consensus.accept.apply span in doAccept().",
+      "type": "timeseries",
+      "gridPos": {
+        "h": 8,
+        "w": 12,
+        "x": 0,
+        "y": 16
+      },
+      "targets": [
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "histogram_quantile(0.95, sum by (le, exported_instance) (rate(traces_span_metrics_duration_milliseconds_bucket{exported_instance=~\"$node\", span_name=\"consensus.accept.apply\"}[5m])))",
+          "legendFormat": "P95 Apply Duration [{{exported_instance}}]"
+        },
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "histogram_quantile(0.50, sum by (le, exported_instance) (rate(traces_span_metrics_duration_milliseconds_bucket{exported_instance=~\"$node\", span_name=\"consensus.accept.apply\"}[5m])))",
+          "legendFormat": "P50 Apply Duration [{{exported_instance}}]"
+        }
+      ],
+      "fieldConfig": {
+        "defaults": {
+          "unit": "ms",
+          "custom": {
+            "axisLabel": "Duration (ms)",
+            "spanNulls": true,
+            "insertNulls": false,
+            "showPoints": "auto",
+            "pointSize": 3
+          }
+        },
+        "overrides": []
+      }
+    },
+    {
+      "title": "Close Time Agreement",
+      "description": "Rate of close time agreement vs disagreement across consensus rounds. Based on xrpl.consensus.close_time_correct attribute (true = validators agreed, false = agreed to disagree per avCT_CONSENSUS_PCT).",
+      "type": "timeseries",
+      "gridPos": {
+        "h": 8,
+        "w": 12,
+        "x": 12,
+        "y": 16
+      },
+      "targets": [
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "sum by (exported_instance) (rate(traces_span_metrics_calls_total{exported_instance=~\"$node\", span_name=\"consensus.accept.apply\"}[5m]))",
+          "legendFormat": "Total Rounds / Sec [{{exported_instance}}]"
+        }
+      ],
+      "fieldConfig": {
+        "defaults": {
+          "unit": "ops",
+          "custom": {
+            "axisLabel": "Rounds / Sec",
+            "spanNulls": true,
+            "insertNulls": false,
+            "showPoints": "auto",
+            "pointSize": 3
+          }
+        },
+        "overrides": []
+      }
+    },
+    {
+      "title": "Consensus Mode Over Time",
+      "description": "Breakdown of consensus ledger close events by the node's consensus mode (Proposing, Observing, Wrong Ledger, Switched Ledger). Grouped by the xrpl.consensus.mode span attribute from consensus.ledger_close. A healthy validator should be predominantly in Proposing mode. Frequent Wrong Ledger or Switched Ledger indicates sync issues.",
+      "type": "timeseries",
+      "gridPos": {
+        "h": 8,
+        "w": 12,
+        "x": 0,
+        "y": 24
+      },
+      "options": {
+        "tooltip": {
+          "mode": "multi",
+          "sort": "desc"
+        }
+      },
+      "targets": [
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "sum by (xrpl_consensus_mode, exported_instance) (rate(traces_span_metrics_calls_total{exported_instance=~\"$node\", xrpl_consensus_mode=~\"$consensus_mode\", span_name=\"consensus.ledger_close\"}[5m]))",
+          "legendFormat": "{{xrpl_consensus_mode}} [{{exported_instance}}]"
+        }
+      ],
+      "fieldConfig": {
+        "defaults": {
+          "unit": "ops",
+          "custom": {
+            "axisLabel": "Events / Sec",
+            "spanNulls": true,
+            "insertNulls": false,
+            "showPoints": "auto",
+            "pointSize": 3
+          }
+        },
+        "overrides": []
+      }
+    },
+    {
+      "title": "Accept vs Close Rate",
+      "description": "Compares the rate of consensus.accept (ledger accepted after consensus) vs consensus.ledger_close (ledger close initiated). These should track closely in a healthy network. A divergence means some close events are not completing the accept phase, potentially indicating consensus failures or timeouts.",
+      "type": "timeseries",
+      "gridPos": {
+        "h": 8,
+        "w": 12,
+        "x": 12,
+        "y": 24
+      },
+      "options": {
+        "tooltip": {
+          "mode": "multi",
+          "sort": "desc"
+        }
+      },
+      "targets": [
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "sum by (exported_instance) (rate(traces_span_metrics_calls_total{exported_instance=~\"$node\", span_name=\"consensus.accept\"}[5m]))",
+          "legendFormat": "Accepts / Sec [{{exported_instance}}]"
+        },
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "sum by (exported_instance) (rate(traces_span_metrics_calls_total{exported_instance=~\"$node\", span_name=\"consensus.ledger_close\"}[5m]))",
+          "legendFormat": "Closes / Sec [{{exported_instance}}]"
+        }
+      ],
+      "fieldConfig": {
+        "defaults": {
+          "unit": "ops",
+          "custom": {
+            "axisLabel": "Events / Sec",
+            "spanNulls": true,
+            "insertNulls": false,
+            "showPoints": "auto",
+            "pointSize": 3
+          }
+        },
+        "overrides": []
+      }
+    },
+    {
+      "title": "Validation vs Close Rate",
+      "description": "Compares the rate of consensus.validation.send vs consensus.ledger_close. Each validated ledger should produce one validation message. If validations lag behind closes, the node may be falling behind on validation or experiencing issues with the validation pipeline.",
+      "type": "timeseries",
+      "gridPos": {
+        "h": 8,
+        "w": 12,
+        "x": 0,
+        "y": 32
+      },
+      "options": {
+        "tooltip": {
+          "mode": "multi",
+          "sort": "desc"
+        }
+      },
+      "targets": [
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "sum by (exported_instance) (rate(traces_span_metrics_calls_total{exported_instance=~\"$node\", span_name=\"consensus.validation.send\"}[5m]))",
+          "legendFormat": "Validations / Sec [{{exported_instance}}]"
+        },
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "sum by (exported_instance) (rate(traces_span_metrics_calls_total{exported_instance=~\"$node\", span_name=\"consensus.ledger_close\"}[5m]))",
+          "legendFormat": "Closes / Sec [{{exported_instance}}]"
+        }
+      ],
+      "fieldConfig": {
+        "defaults": {
+          "unit": "ops",
+          "custom": {
+            "axisLabel": "Events / Sec",
+            "spanNulls": true,
+            "insertNulls": false,
+            "showPoints": "auto",
+            "pointSize": 3
+          }
+        },
+        "overrides": []
+      }
+    },
+    {
+      "title": "Consensus Accept Duration Heatmap",
+      "description": "Heatmap showing the distribution of consensus.accept span durations across histogram buckets over time. Each cell represents how many accept events fell into that duration bucket in a 5m window. Useful for detecting outlier consensus rounds that take abnormally long.",
+      "type": "heatmap",
+      "gridPos": {
+        "h": 8,
+        "w": 12,
+        "x": 12,
+        "y": 32
+      },
+      "options": {
+        "tooltip": {
+          "mode": "multi",
+          "sort": "desc"
+        },
+        "yAxis": {
+          "axisLabel": "Duration (ms)"
+        }
+      },
+      "targets": [
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "sum(increase(traces_span_metrics_duration_milliseconds_bucket{exported_instance=~\"$node\", span_name=\"consensus.accept\"}[5m])) by (le)",
+          "legendFormat": "{{le}}",
+          "format": "heatmap"
+        }
+      ]
+    }
+  ],
+  "schemaVersion": 39,
+  "tags": ["rippled", "consensus", "telemetry"],
+  "templating": {
+    "list": [
+      {
+        "name": "node",
+        "label": "Node",
+        "description": "Filter by rippled node (service.instance.id — e.g. Node-1)",
+        "type": "query",
+        "query": "label_values(traces_span_metrics_calls_total, exported_instance)",
+        "datasource": {
+          "type": "prometheus",
+          "uid": "prometheus"
+        },
+        "includeAll": true,
+        "allValue": ".*",
+        "current": {
+          "text": "All",
+          "value": "$__all"
+        },
+        "multi": true,
+        "refresh": 2,
+        "sort": 1
+      },
+      {
+        "name": "consensus_mode",
+        "label": "Consensus Mode",
+        "description": "Filter by consensus mode (Proposing, Observing, Wrong Ledger, Switched Ledger)",
+        "type": "query",
+        "query": "label_values(traces_span_metrics_calls_total{span_name=\"consensus.ledger_close\"}, xrpl_consensus_mode)",
+        "datasource": {
+          "type": "prometheus",
+          "uid": "prometheus"
+        },
+        "includeAll": true,
+        "allValue": ".*",
+        "current": {
+          "text": "All",
+          "value": "$__all"
+        },
+        "multi": true,
+        "refresh": 2,
+        "sort": 1
+      }
+    ]
+  },
+  "time": {
+    "from": "now-1h",
+    "to": "now"
+  },
+  "title": "Consensus Health",
+  "uid": "rippled-consensus"
+}
--- a/docker/telemetry/grafana/dashboards/ledger-operations.json
+++ b/docker/telemetry/grafana/dashboards/ledger-operations.json
@@ -0,0 +1,353 @@
+{
+  "annotations": {
+    "list": []
+  },
+  "editable": true,
+  "fiscalYearStartMonth": 0,
+  "graphTooltip": 1,
+  "id": null,
+  "links": [],
+  "panels": [
+    {
+      "title": "Ledger Build Rate",
+      "description": "Rate at which new ledgers are being built. The ledger.build span (BuildLedger.cpp:31) wraps the entire buildLedgerImpl() function which creates a new ledger from a parent, applies transactions, flushes SHAMap nodes, and sets the accepted state. Should match the consensus close rate (~0.25/sec on mainnet with ~4s rounds).",
+      "type": "stat",
+      "gridPos": {
+        "h": 8,
+        "w": 12,
+        "x": 0,
+        "y": 0
+      },
+      "options": {
+        "tooltip": {
+          "mode": "multi",
+          "sort": "desc"
+        }
+      },
+      "targets": [
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "sum by (exported_instance) (rate(traces_span_metrics_calls_total{exported_instance=~\"$node\", span_name=\"ledger.build\"}[5m]))",
+          "legendFormat": "Builds / Sec [{{exported_instance}}]"
+        }
+      ],
+      "fieldConfig": {
+        "defaults": {
+          "unit": "ops"
+        },
+        "overrides": []
+      }
+    },
+    {
+      "title": "Ledger Build Duration",
+      "description": "p95 and p50 duration of ledger builds. Measures the full buildLedgerImpl() call including transaction application, SHAMap flushing, and ledger acceptance. The span records xrpl.ledger.seq as an attribute. Long build times indicate expensive transaction sets or I/O pressure from SHAMap flushes.",
+      "type": "timeseries",
+      "gridPos": {
+        "h": 8,
+        "w": 12,
+        "x": 12,
+        "y": 0
+      },
+      "options": {
+        "tooltip": {
+          "mode": "multi",
+          "sort": "desc"
+        }
+      },
+      "targets": [
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "histogram_quantile(0.95, sum by (le, exported_instance) (rate(traces_span_metrics_duration_milliseconds_bucket{exported_instance=~\"$node\", span_name=\"ledger.build\"}[5m])))",
+          "legendFormat": "P95 Build Duration [{{exported_instance}}]"
+        },
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "histogram_quantile(0.50, sum by (le, exported_instance) (rate(traces_span_metrics_duration_milliseconds_bucket{exported_instance=~\"$node\", span_name=\"ledger.build\"}[5m])))",
+          "legendFormat": "P50 Build Duration [{{exported_instance}}]"
+        }
+      ],
+      "fieldConfig": {
+        "defaults": {
+          "unit": "ms",
+          "custom": {
+            "axisLabel": "Duration (ms)",
+            "spanNulls": true,
+            "insertNulls": false,
+            "showPoints": "auto",
+            "pointSize": 3
+          }
+        },
+        "overrides": []
+      }
+    },
+    {
+      "title": "Ledger Validation Rate",
+      "description": "Rate at which ledgers pass the validation threshold and are accepted as fully validated. The ledger.validate span (LedgerMaster.cpp:915) fires in checkAccept() only after the ledger receives sufficient trusted validations (>= quorum). Records xrpl.ledger.seq and xrpl.ledger.validations (the number of validations received).",
+      "type": "stat",
+      "gridPos": {
+        "h": 8,
+        "w": 12,
+        "x": 0,
+        "y": 8
+      },
+      "options": {
+        "tooltip": {
+          "mode": "multi",
+          "sort": "desc"
+        }
+      },
+      "targets": [
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "sum by (exported_instance) (rate(traces_span_metrics_calls_total{exported_instance=~\"$node\", span_name=\"ledger.validate\"}[5m]))",
+          "legendFormat": "Validations / Sec [{{exported_instance}}]"
+        }
+      ],
+      "fieldConfig": {
+        "defaults": {
+          "unit": "ops"
+        },
+        "overrides": []
+      }
+    },
+    {
+      "title": "Ledger Build Duration Heatmap",
+      "description": "Heatmap showing the distribution of ledger.build durations across histogram buckets over time. Each cell represents the count of ledger builds that fell into that duration bucket in a 5m window. Useful for spotting occasional slow ledger builds that may not appear in percentile charts.",
+      "type": "heatmap",
+      "gridPos": {
+        "h": 8,
+        "w": 12,
+        "x": 12,
+        "y": 8
+      },
+      "options": {
+        "tooltip": {
+          "mode": "multi",
+          "sort": "desc"
+        },
+        "yAxis": {
+          "axisLabel": "Duration (ms)"
+        }
+      },
+      "targets": [
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "sum(increase(traces_span_metrics_duration_milliseconds_bucket{exported_instance=~\"$node\", span_name=\"ledger.build\"}[5m])) by (le)",
+          "legendFormat": "{{le}}",
+          "format": "heatmap"
+        }
+      ],
+      "fieldConfig": {
+        "defaults": {
+          "unit": "ms"
+        },
+        "overrides": []
+      }
+    },
+    {
+      "title": "Transaction Apply Duration",
+      "description": "p95 and p50 duration of applying the consensus transaction set during ledger building. The tx.apply span (BuildLedger.cpp:88) wraps applyTransactions() which iterates through the CanonicalTXSet with multiple retry passes. Records xrpl.ledger.tx_count (successful) and xrpl.ledger.tx_failed (failed) as attributes.",
+      "type": "timeseries",
+      "gridPos": {
+        "h": 8,
+        "w": 12,
+        "x": 0,
+        "y": 16
+      },
+      "options": {
+        "tooltip": {
+          "mode": "multi",
+          "sort": "desc"
+        }
+      },
+      "targets": [
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "histogram_quantile(0.95, sum by (le, exported_instance) (rate(traces_span_metrics_duration_milliseconds_bucket{exported_instance=~\"$node\", span_name=\"tx.apply\"}[5m])))",
+          "legendFormat": "P95 tx.apply [{{exported_instance}}]"
+        },
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "histogram_quantile(0.50, sum by (le, exported_instance) (rate(traces_span_metrics_duration_milliseconds_bucket{exported_instance=~\"$node\", span_name=\"tx.apply\"}[5m])))",
+          "legendFormat": "P50 tx.apply [{{exported_instance}}]"
+        }
+      ],
+      "fieldConfig": {
+        "defaults": {
+          "unit": "ms",
+          "custom": {
+            "axisLabel": "Duration (ms)",
+            "spanNulls": true,
+            "insertNulls": false,
+            "showPoints": "auto",
+            "pointSize": 3
+          }
+        },
+        "overrides": []
+      }
+    },
+    {
+      "title": "Transaction Apply Rate",
+      "description": "Rate of tx.apply span invocations, reflecting how frequently the transaction application phase runs during ledger building. Each ledger build triggers one tx.apply call. Should closely match the ledger build rate.",
+      "type": "timeseries",
+      "gridPos": {
+        "h": 8,
+        "w": 12,
+        "x": 12,
+        "y": 16
+      },
+      "options": {
+        "tooltip": {
+          "mode": "multi",
+          "sort": "desc"
+        }
+      },
+      "targets": [
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "sum by (exported_instance) (rate(traces_span_metrics_calls_total{exported_instance=~\"$node\", span_name=\"tx.apply\"}[5m]))",
+          "legendFormat": "tx.apply / Sec [{{exported_instance}}]"
+        }
+      ],
+      "fieldConfig": {
+        "defaults": {
+          "unit": "ops",
+          "custom": {
+            "axisLabel": "Operations / Sec",
+            "spanNulls": true,
+            "insertNulls": false,
+            "showPoints": "auto",
+            "pointSize": 3
+          }
+        },
+        "overrides": []
+      }
+    },
+    {
+      "title": "Ledger Store Rate",
+      "description": "Rate at which ledgers are stored into the ledger history. The ledger.store span (LedgerMaster.cpp:409) wraps storeLedger() which inserts the ledger into the LedgerHistory cache. Records xrpl.ledger.seq. Should match the ledger build rate under normal operation.",
+      "type": "stat",
+      "gridPos": {
+        "h": 8,
+        "w": 12,
+        "x": 0,
+        "y": 24
+      },
+      "options": {
+        "tooltip": {
+          "mode": "multi",
+          "sort": "desc"
+        }
+      },
+      "targets": [
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "sum by (exported_instance) (rate(traces_span_metrics_calls_total{exported_instance=~\"$node\", span_name=\"ledger.store\"}[5m]))",
+          "legendFormat": "Stores / Sec [{{exported_instance}}]"
+        }
+      ],
+      "fieldConfig": {
+        "defaults": {
+          "unit": "ops"
+        },
+        "overrides": []
+      }
+    },
+    {
+      "title": "Build vs Close Duration",
+      "description": "Compares p95 durations of ledger.build (the actual ledger construction in BuildLedger.cpp) vs consensus.ledger_close (the consensus close event in RCLConsensus.cpp). Build time is a subset of close time. A large gap between them indicates overhead in the consensus pipeline outside of ledger construction itself.",
+      "type": "timeseries",
+      "gridPos": {
+        "h": 8,
+        "w": 12,
+        "x": 12,
+        "y": 24
+      },
+      "options": {
+        "tooltip": {
+          "mode": "multi",
+          "sort": "desc"
+        }
+      },
+      "targets": [
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "histogram_quantile(0.95, sum by (le, exported_instance) (rate(traces_span_metrics_duration_milliseconds_bucket{exported_instance=~\"$node\", span_name=\"ledger.build\"}[5m])))",
+          "legendFormat": "P95 ledger.build [{{exported_instance}}]"
+        },
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "histogram_quantile(0.95, sum by (le, exported_instance) (rate(traces_span_metrics_duration_milliseconds_bucket{exported_instance=~\"$node\", span_name=\"consensus.ledger_close\"}[5m])))",
+          "legendFormat": "P95 consensus.ledger_close [{{exported_instance}}]"
+        }
+      ],
+      "fieldConfig": {
+        "defaults": {
+          "unit": "ms",
+          "custom": {
+            "axisLabel": "Duration (ms)",
+            "spanNulls": true,
+            "insertNulls": false,
+            "showPoints": "auto",
+            "pointSize": 3
+          }
+        },
+        "overrides": []
+      }
+    }
+  ],
+  "schemaVersion": 39,
+  "tags": ["rippled", "ledger", "telemetry"],
+  "templating": {
+    "list": [
+      {
+        "name": "node",
+        "label": "Node",
+        "description": "Filter by rippled node (service.instance.id \u2014 e.g. Node-1)",
+        "type": "query",
+        "query": "label_values(traces_span_metrics_calls_total, exported_instance)",
+        "datasource": {
+          "type": "prometheus",
+          "uid": "prometheus"
+        },
+        "includeAll": true,
+        "allValue": ".*",
+        "current": {
+          "text": "All",
+          "value": "$__all"
+        },
+        "multi": true,
+        "refresh": 2,
+        "sort": 1
+      }
+    ]
+  },
+  "time": {
+    "from": "now-1h",
+    "to": "now"
+  },
+  "title": "Ledger Operations",
+  "uid": "rippled-ledger-ops"
+}
--- a/docker/telemetry/grafana/dashboards/peer-network.json
+++ b/docker/telemetry/grafana/dashboards/peer-network.json
@@ -0,0 +1,227 @@
+{
+  "annotations": {
+    "list": []
+  },
+  "description": "Requires trace_peer=1 in the [telemetry] config section.",
+  "editable": true,
+  "fiscalYearStartMonth": 0,
+  "graphTooltip": 1,
+  "id": null,
+  "links": [],
+  "panels": [
+    {
+      "title": "Peer Proposal Receive Rate",
+      "description": "Rate of consensus proposals received from network peers. The peer.proposal.receive span (PeerImp.cpp:1667) fires in onMessage(TMProposeSet) for each incoming proposal. Records xrpl.peer.id (sending peer) and xrpl.peer.proposal.trusted (whether the proposer is in our UNL). Requires trace_peer=1 in the telemetry config.",
+      "type": "timeseries",
+      "gridPos": {
+        "h": 8,
+        "w": 12,
+        "x": 0,
+        "y": 0
+      },
+      "options": {
+        "tooltip": {
+          "mode": "multi",
+          "sort": "desc"
+        }
+      },
+      "targets": [
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "sum by (exported_instance) (rate(traces_span_metrics_calls_total{exported_instance=~\"$node\", span_name=\"peer.proposal.receive\"}[5m]))",
+          "legendFormat": "Proposals Received / Sec [{{exported_instance}}]"
+        }
+      ],
+      "fieldConfig": {
+        "defaults": {
+          "unit": "ops",
+          "custom": {
+            "axisLabel": "Proposals / Sec",
+            "spanNulls": true,
+            "insertNulls": false,
+            "showPoints": "auto",
+            "pointSize": 3
+          }
+        },
+        "overrides": []
+      }
+    },
+    {
+      "title": "Peer Validation Receive Rate",
+      "description": "Rate of ledger validations received from network peers. The peer.validation.receive span (PeerImp.cpp:2264) fires in onMessage(TMValidation) for each incoming validation message. Records xrpl.peer.id (sending peer) and xrpl.peer.validation.trusted (whether the validator is trusted). Requires trace_peer=1 in the telemetry config.",
+      "type": "timeseries",
+      "gridPos": {
+        "h": 8,
+        "w": 12,
+        "x": 12,
+        "y": 0
+      },
+      "options": {
+        "tooltip": {
+          "mode": "multi",
+          "sort": "desc"
+        }
+      },
+      "targets": [
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "sum by (exported_instance) (rate(traces_span_metrics_calls_total{exported_instance=~\"$node\", span_name=\"peer.validation.receive\"}[5m]))",
+          "legendFormat": "Validations Received / Sec [{{exported_instance}}]"
+        }
+      ],
+      "fieldConfig": {
+        "defaults": {
+          "unit": "ops",
+          "custom": {
+            "axisLabel": "Validations / Sec",
+            "spanNulls": true,
+            "insertNulls": false,
+            "showPoints": "auto",
+            "pointSize": 3
+          }
+        },
+        "overrides": []
+      }
+    },
+    {
+      "title": "Proposals Trusted vs Untrusted",
+      "description": "Pie chart showing the ratio of proposals received from trusted validators (in our UNL) vs untrusted validators. Grouped by the xrpl.peer.proposal.trusted span attribute (true/false). A healthy node connected to a well-configured UNL should see a significant portion of trusted proposals. Note: proposals that fail early validation may not have the trusted attribute set.",
+      "type": "piechart",
+      "gridPos": {
+        "h": 8,
+        "w": 12,
+        "x": 0,
+        "y": 8
+      },
+      "options": {
+        "tooltip": {
+          "mode": "multi",
+          "sort": "desc"
+        }
+      },
+      "targets": [
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "sum by (xrpl_peer_proposal_trusted, exported_instance) (rate(traces_span_metrics_calls_total{exported_instance=~\"$node\", xrpl_peer_proposal_trusted=~\"$proposal_trusted\", span_name=\"peer.proposal.receive\"}[5m]))",
+          "legendFormat": "Trusted = {{xrpl_peer_proposal_trusted}} [{{exported_instance}}]"
+        }
+      ],
+      "fieldConfig": {
+        "defaults": {
+          "unit": "ops"
+        },
+        "overrides": []
+      }
+    },
+    {
+      "title": "Validations Trusted vs Untrusted",
+      "description": "Pie chart showing the ratio of validations received from trusted validators (in our UNL) vs untrusted validators. Grouped by the xrpl.peer.validation.trusted span attribute (true/false). Monitoring this helps detect if the node is receiving validations from the expected set of trusted validators. Note: validations that fail early checks may not have the trusted attribute set.",
+      "type": "piechart",
+      "gridPos": {
+        "h": 8,
+        "w": 12,
+        "x": 12,
+        "y": 8
+      },
+      "options": {
+        "tooltip": {
+          "mode": "multi",
+          "sort": "desc"
+        }
+      },
+      "targets": [
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "sum by (xrpl_peer_validation_trusted, exported_instance) (rate(traces_span_metrics_calls_total{exported_instance=~\"$node\", xrpl_peer_validation_trusted=~\"$validation_trusted\", span_name=\"peer.validation.receive\"}[5m]))",
+          "legendFormat": "Trusted = {{xrpl_peer_validation_trusted}} [{{exported_instance}}]"
+        }
+      ],
+      "fieldConfig": {
+        "defaults": {
+          "unit": "ops"
+        },
+        "overrides": []
+      }
+    }
+  ],
+  "schemaVersion": 39,
+  "tags": ["rippled", "peer", "telemetry"],
+  "templating": {
+    "list": [
+      {
+        "name": "node",
+        "label": "Node",
+        "description": "Filter by rippled node (service.instance.id \u2014 e.g. Node-1)",
+        "type": "query",
+        "query": "label_values(traces_span_metrics_calls_total, exported_instance)",
+        "datasource": {
+          "type": "prometheus",
+          "uid": "prometheus"
+        },
+        "includeAll": true,
+        "allValue": ".*",
+        "current": {
+          "text": "All",
+          "value": "$__all"
+        },
+        "multi": true,
+        "refresh": 2,
+        "sort": 1
+      },
+      {
+        "name": "proposal_trusted",
+        "label": "Proposal Trusted",
+        "description": "Filter by proposal trust status (true = from trusted validator)",
+        "type": "query",
+        "query": "label_values(traces_span_metrics_calls_total{span_name=\"peer.proposal.receive\"}, xrpl_peer_proposal_trusted)",
+        "datasource": {
+          "type": "prometheus",
+          "uid": "prometheus"
+        },
+        "includeAll": true,
+        "allValue": ".*",
+        "current": {
+          "text": "All",
+          "value": "$__all"
+        },
+        "multi": true,
+        "refresh": 2,
+        "sort": 1
+      },
+      {
+        "name": "validation_trusted",
+        "label": "Validation Trusted",
+        "description": "Filter by validation trust status (true = from trusted validator)",
+        "type": "query",
+        "query": "label_values(traces_span_metrics_calls_total{span_name=\"peer.validation.receive\"}, xrpl_peer_validation_trusted)",
+        "datasource": {
+          "type": "prometheus",
+          "uid": "prometheus"
+        },
+        "includeAll": true,
+        "allValue": ".*",
+        "current": {
+          "text": "All",
+          "value": "$__all"
+        },
+        "multi": true,
+        "refresh": 2,
+        "sort": 1
+      }
+    ]
+  },
+  "time": {
+    "from": "now-1h",
+    "to": "now"
+  },
+  "title": "Peer Network",
+  "uid": "rippled-peer-net"
+}
--- a/docker/telemetry/grafana/dashboards/rpc-performance.json
+++ b/docker/telemetry/grafana/dashboards/rpc-performance.json
@@ -0,0 +1,376 @@
+{
+  "annotations": {
+    "list": []
+  },
+  "editable": true,
+  "fiscalYearStartMonth": 0,
+  "graphTooltip": 1,
+  "id": null,
+  "links": [],
+  "panels": [
+    {
+      "title": "RPC Request Rate by Command",
+      "description": "Per-second rate of RPC command executions, broken down by command name (e.g. server_info, submit). Calculated as rate(traces_span_metrics_calls_total{span_name=~\"rpc.command.*\"}) over a 5m window, grouped by the xrpl.rpc.command span attribute.",
+      "type": "timeseries",
+      "gridPos": {
+        "h": 8,
+        "w": 12,
+        "x": 0,
+        "y": 0
+      },
+      "options": {
+        "tooltip": {
+          "mode": "multi",
+          "sort": "desc"
+        }
+      },
+      "targets": [
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "sum by (xrpl_rpc_command, exported_instance) (rate(traces_span_metrics_calls_total{exported_instance=~\"$node\", xrpl_rpc_command=~\"$command\", span_name=~\"rpc.command.*\"}[5m]))",
+          "legendFormat": "{{xrpl_rpc_command}} [{{exported_instance}}]"
+        }
+      ],
+      "fieldConfig": {
+        "defaults": {
+          "unit": "reqps",
+          "custom": {
+            "axisLabel": "Requests / Sec",
+            "spanNulls": true,
+            "insertNulls": false,
+            "showPoints": "auto",
+            "pointSize": 3
+          }
+        },
+        "overrides": []
+      }
+    },
+    {
+      "title": "RPC Latency P95 by Command",
+      "description": "95th percentile response time for each RPC command. Computed from the spanmetrics duration histogram using histogram_quantile(0.95) over rpc.command.* spans, grouped by xrpl.rpc.command. High values indicate slow commands that may need optimization.",
+      "type": "timeseries",
+      "gridPos": {
+        "h": 8,
+        "w": 12,
+        "x": 12,
+        "y": 0
+      },
+      "options": {
+        "tooltip": {
+          "mode": "multi",
+          "sort": "desc"
+        }
+      },
+      "targets": [
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "histogram_quantile(0.95, sum by (le, xrpl_rpc_command, exported_instance) (rate(traces_span_metrics_duration_milliseconds_bucket{exported_instance=~\"$node\", xrpl_rpc_command=~\"$command\", span_name=~\"rpc.command.*\"}[5m])))",
+          "legendFormat": "P95 {{xrpl_rpc_command}} [{{exported_instance}}]"
+        }
+      ],
+      "fieldConfig": {
+        "defaults": {
+          "unit": "ms",
+          "custom": {
+            "axisLabel": "Latency (ms)",
+            "spanNulls": true,
+            "insertNulls": false,
+            "showPoints": "auto",
+            "pointSize": 3
+          }
+        },
+        "overrides": []
+      }
+    },
+    {
+      "title": "RPC Error Rate",
+      "description": "Percentage of RPC commands that completed with an error status, per command. Calculated as (error calls / total calls) * 100, where errors have status_code=STATUS_CODE_ERROR. Thresholds: green < 1%, yellow 1-5%, red > 5%.",
+      "type": "bargauge",
+      "gridPos": {
+        "h": 8,
+        "w": 12,
+        "x": 0,
+        "y": 8
+      },
+      "options": {
+        "tooltip": {
+          "mode": "multi",
+          "sort": "desc"
+        }
+      },
+      "targets": [
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "sum by (xrpl_rpc_command, exported_instance) (rate(traces_span_metrics_calls_total{exported_instance=~\"$node\", xrpl_rpc_command=~\"$command\", span_name=~\"rpc.command.*\", status_code=\"STATUS_CODE_ERROR\"}[5m])) / sum by (xrpl_rpc_command, exported_instance) (rate(traces_span_metrics_calls_total{exported_instance=~\"$node\", xrpl_rpc_command=~\"$command\", span_name=~\"rpc.command.*\"}[5m])) * 100",
+          "legendFormat": "{{xrpl_rpc_command}} [{{exported_instance}}]"
+        }
+      ],
+      "fieldConfig": {
+        "defaults": {
+          "unit": "percent",
+          "thresholds": {
+            "steps": [
+              {
+                "color": "green",
+                "value": null
+              },
+              {
+                "color": "yellow",
+                "value": 1
+              },
+              {
+                "color": "red",
+                "value": 5
+              }
+            ]
+          }
+        },
+        "overrides": []
+      }
+    },
+    {
+      "title": "RPC Latency Heatmap",
+      "description": "Distribution of RPC command response times across histogram buckets. Shows the density of requests at each latency level over time. Each cell represents the count of requests that fell into that duration bucket in a 5m window. Useful for spotting bimodal latency patterns.",
+      "type": "heatmap",
+      "gridPos": {
+        "h": 8,
+        "w": 12,
+        "x": 12,
+        "y": 8
+      },
+      "options": {
+        "tooltip": {
+          "mode": "multi",
+          "sort": "desc"
+        },
+        "yAxis": {
+          "axisLabel": "Duration (ms)"
+        }
+      },
+      "targets": [
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "sum(increase(traces_span_metrics_duration_milliseconds_bucket{exported_instance=~\"$node\", xrpl_rpc_command=~\"$command\", span_name=~\"rpc.command.*\"}[5m])) by (le)",
+          "legendFormat": "{{le}}",
+          "format": "heatmap"
+        }
+      ]
+    },
+    {
+      "title": "Overall RPC Throughput",
+      "description": "Aggregate RPC throughput showing two layers of the request pipeline. rpc.request is the outer HTTP handler (ServerHandler.cpp:271) that accepts incoming connections. rpc.process is the inner processing layer (ServerHandler.cpp:573) that parses and dispatches. A gap between the two indicates requests being queued or rejected before processing.",
+      "type": "timeseries",
+      "gridPos": {
+        "h": 8,
+        "w": 12,
+        "x": 0,
+        "y": 16
+      },
+      "options": {
+        "tooltip": {
+          "mode": "multi",
+          "sort": "desc"
+        }
+      },
+      "targets": [
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "sum by (exported_instance) (rate(traces_span_metrics_calls_total{exported_instance=~\"$node\", xrpl_rpc_command=~\"$command\", span_name=\"rpc.request\"}[5m]))",
+          "legendFormat": "rpc.request / Sec [{{exported_instance}}]"
+        },
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "sum by (exported_instance) (rate(traces_span_metrics_calls_total{exported_instance=~\"$node\", xrpl_rpc_command=~\"$command\", span_name=\"rpc.process\"}[5m]))",
+          "legendFormat": "rpc.process / Sec [{{exported_instance}}]"
+        }
+      ],
+      "fieldConfig": {
+        "defaults": {
+          "unit": "reqps",
+          "custom": {
+            "axisLabel": "Requests / Sec",
+            "spanNulls": true,
+            "insertNulls": false,
+            "showPoints": "auto",
+            "pointSize": 3
+          }
+        },
+        "overrides": []
+      }
+    },
+    {
+      "title": "RPC Success vs Error",
+      "description": "Aggregate rate of successful vs failed RPC commands across all command types. Success = status_code UNSET (OpenTelemetry default for OK spans). Error = status_code STATUS_CODE_ERROR. A sustained error rate warrants investigation via per-command breakdown above.",
+      "type": "timeseries",
+      "gridPos": {
+        "h": 8,
+        "w": 12,
+        "x": 12,
+        "y": 16
+      },
+      "options": {
+        "tooltip": {
+          "mode": "multi",
+          "sort": "desc"
+        }
+      },
+      "targets": [
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "sum by (exported_instance) (rate(traces_span_metrics_calls_total{exported_instance=~\"$node\", xrpl_rpc_command=~\"$command\", span_name=~\"rpc.command.*\", status_code=\"STATUS_CODE_UNSET\"}[5m]))",
+          "legendFormat": "Success [{{exported_instance}}]"
+        },
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "sum by (exported_instance) (rate(traces_span_metrics_calls_total{exported_instance=~\"$node\", xrpl_rpc_command=~\"$command\", span_name=~\"rpc.command.*\", status_code=\"STATUS_CODE_ERROR\"}[5m]))",
+          "legendFormat": "Error [{{exported_instance}}]"
+        }
+      ],
+      "fieldConfig": {
+        "defaults": {
+          "unit": "ops",
+          "custom": {
+            "axisLabel": "Commands / Sec",
+            "spanNulls": true,
+            "insertNulls": false,
+            "showPoints": "auto",
+            "pointSize": 3
+          }
+        },
+        "overrides": []
+      }
+    },
+    {
+      "title": "Top Commands by Volume",
+      "description": "Top 10 most frequently called RPC commands by total invocation count over the last 5 minutes. Uses topk(10, increase(calls_total)) to rank commands. Helps identify the hottest API endpoints driving load on the node.",
+      "type": "bargauge",
+      "gridPos": {
+        "h": 8,
+        "w": 12,
+        "x": 0,
+        "y": 24
+      },
+      "options": {
+        "tooltip": {
+          "mode": "multi",
+          "sort": "desc"
+        }
+      },
+      "targets": [
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "topk(10, sum by (xrpl_rpc_command, exported_instance) (increase(traces_span_metrics_calls_total{exported_instance=~\"$node\", xrpl_rpc_command=~\"$command\", span_name=~\"rpc.command.*\"}[5m])))",
+          "legendFormat": "{{xrpl_rpc_command}} [{{exported_instance}}]"
+        }
+      ],
+      "fieldConfig": {
+        "defaults": {
+          "unit": "none"
+        },
+        "overrides": []
+      }
+    },
+    {
+      "title": "WebSocket Message Rate",
+      "description": "Rate of incoming WebSocket RPC messages processed by the server. Sourced from the rpc.ws_message span (ServerHandler.cpp:384). Only active when clients connect via WebSocket instead of HTTP. Zero is normal if only HTTP RPC is in use.",
+      "type": "stat",
+      "gridPos": {
+        "h": 8,
+        "w": 12,
+        "x": 12,
+        "y": 24
+      },
+      "options": {
+        "tooltip": {
+          "mode": "multi",
+          "sort": "desc"
+        }
+      },
+      "targets": [
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "sum by (exported_instance) (rate(traces_span_metrics_calls_total{exported_instance=~\"$node\", xrpl_rpc_command=~\"$command\", span_name=\"rpc.ws_message\"}[5m]))",
+          "legendFormat": "WS Messages / Sec [{{exported_instance}}]"
+        }
+      ],
+      "fieldConfig": {
+        "defaults": {
+          "unit": "ops"
+        },
+        "overrides": []
+      }
+    }
+  ],
+  "schemaVersion": 39,
+  "tags": ["rippled", "rpc", "telemetry"],
+  "templating": {
+    "list": [
+      {
+        "name": "node",
+        "label": "Node",
+        "description": "Filter by rippled node (service.instance.id — e.g. Node-1)",
+        "type": "query",
+        "query": "label_values(traces_span_metrics_calls_total, exported_instance)",
+        "datasource": {
+          "type": "prometheus",
+          "uid": "prometheus"
+        },
+        "includeAll": true,
+        "allValue": ".*",
+        "current": {
+          "text": "All",
+          "value": "$__all"
+        },
+        "multi": true,
+        "refresh": 2,
+        "sort": 1
+      },
+      {
+        "name": "command",
+        "label": "RPC Command",
+        "description": "Filter by RPC command name (e.g., server_info, submit)",
+        "type": "query",
+        "query": "label_values(traces_span_metrics_calls_total{span_name=~\"rpc.command.*\"}, xrpl_rpc_command)",
+        "datasource": {
+          "type": "prometheus",
+          "uid": "prometheus"
+        },
+        "includeAll": true,
+        "allValue": ".*",
+        "current": {
+          "text": "All",
+          "value": "$__all"
+        },
+        "multi": true,
+        "refresh": 2,
+        "sort": 1
+      }
+    ]
+  },
+  "time": {
+    "from": "now-1h",
+    "to": "now"
+  },
+  "title": "RPC Performance",
+  "uid": "rippled-rpc-perf"
+}
--- a/docker/telemetry/grafana/dashboards/statsd-network-traffic.json
+++ b/docker/telemetry/grafana/dashboards/statsd-network-traffic.json
@@ -0,0 +1,470 @@
+{
+  "annotations": { "list": [] },
+  "description": "Network traffic and peer metrics from beast::insight StatsD. Requires [insight] server=statsd in rippled config.",
+  "editable": true,
+  "fiscalYearStartMonth": 0,
+  "graphTooltip": 1,
+  "id": null,
+  "links": [],
+  "panels": [
+    {
+      "title": "Active Peers",
+      "description": "Number of active inbound and outbound peer connections. Sourced from Peer_Finder.Active_Inbound_Peers and Peer_Finder.Active_Outbound_Peers gauges (PeerfinderManager.cpp:214-215). A healthy mainnet node typically has 10-21 outbound and 0-85 inbound peers depending on configuration.",
+      "type": "timeseries",
+      "gridPos": { "h": 8, "w": 12, "x": 0, "y": 0 },
+      "options": {
+        "tooltip": { "mode": "multi", "sort": "desc" }
+      },
+      "targets": [
+        {
+          "datasource": { "type": "prometheus" },
+          "expr": "rippled_Peer_Finder_Active_Inbound_Peers",
+          "legendFormat": "Inbound Peers"
+        },
+        {
+          "datasource": { "type": "prometheus" },
+          "expr": "rippled_Peer_Finder_Active_Outbound_Peers",
+          "legendFormat": "Outbound Peers"
+        }
+      ],
+      "fieldConfig": {
+        "defaults": {
+          "unit": "short",
+          "custom": {
+            "axisLabel": "Peers",
+            "spanNulls": true,
+            "insertNulls": false,
+            "showPoints": "auto",
+            "pointSize": 3
+          }
+        },
+        "overrides": []
+      }
+    },
+    {
+      "title": "Peer Disconnects",
+      "description": "Cumulative count of peer disconnections. Sourced from the Overlay.Peer_Disconnects gauge (OverlayImpl.h:557). A rising trend indicates network instability, aggressive peer management, or resource exhaustion causing connection drops.",
+      "type": "timeseries",
+      "gridPos": { "h": 8, "w": 12, "x": 12, "y": 0 },
+      "options": {
+        "tooltip": { "mode": "multi", "sort": "desc" }
+      },
+      "targets": [
+        {
+          "datasource": { "type": "prometheus" },
+          "expr": "rippled_Overlay_Peer_Disconnects",
+          "legendFormat": "Disconnects"
+        }
+      ],
+      "fieldConfig": {
+        "defaults": {
+          "unit": "short",
+          "custom": {
+            "axisLabel": "Disconnects",
+            "spanNulls": true,
+            "insertNulls": false,
+            "showPoints": "auto",
+            "pointSize": 3
+          }
+        },
+        "overrides": []
+      }
+    },
+    {
+      "title": "Total Network Bytes",
+      "description": "Total bytes sent and received across all peer connections. Sourced from the total.Bytes_In and total.Bytes_Out traffic category gauges (OverlayImpl.h:535-548). Provides a high-level view of network bandwidth consumption.",
+      "type": "timeseries",
+      "gridPos": { "h": 8, "w": 12, "x": 0, "y": 8 },
+      "options": {
+        "tooltip": { "mode": "multi", "sort": "desc" }
+      },
+      "targets": [
+        {
+          "datasource": { "type": "prometheus" },
+          "expr": "rippled_total_Bytes_In",
+          "legendFormat": "Bytes In"
+        },
+        {
+          "datasource": { "type": "prometheus" },
+          "expr": "rippled_total_Bytes_Out",
+          "legendFormat": "Bytes Out"
+        }
+      ],
+      "fieldConfig": {
+        "defaults": {
+          "unit": "decbytes",
+          "custom": {
+            "axisLabel": "Bytes",
+            "spanNulls": true,
+            "insertNulls": false,
+            "showPoints": "auto",
+            "pointSize": 3
+          }
+        },
+        "overrides": []
+      }
+    },
+    {
+      "title": "Total Network Messages",
+      "description": "Total messages sent and received across all peer connections. Sourced from the total.Messages_In and total.Messages_Out traffic category gauges (OverlayImpl.h:535-548). Shows the overall message throughput of the overlay network.",
+      "type": "timeseries",
+      "gridPos": { "h": 8, "w": 12, "x": 12, "y": 8 },
+      "options": {
+        "tooltip": { "mode": "multi", "sort": "desc" }
+      },
+      "targets": [
+        {
+          "datasource": { "type": "prometheus" },
+          "expr": "rippled_total_Messages_In",
+          "legendFormat": "Messages In"
+        },
+        {
+          "datasource": { "type": "prometheus" },
+          "expr": "rippled_total_Messages_Out",
+          "legendFormat": "Messages Out"
+        }
+      ],
+      "fieldConfig": {
+        "defaults": {
+          "unit": "short",
+          "custom": {
+            "axisLabel": "Messages",
+            "spanNulls": true,
+            "insertNulls": false,
+            "showPoints": "auto",
+            "pointSize": 3
+          }
+        },
+        "overrides": []
+      }
+    },
+    {
+      "title": "Transaction Traffic",
+      "description": "Bytes and messages for transaction-related overlay traffic. Includes the transactions traffic category (OverlayImpl/TrafficCount.h). Spikes indicate high transaction volume on the network or transaction flooding.",
+      "type": "timeseries",
+      "gridPos": { "h": 8, "w": 12, "x": 0, "y": 16 },
+      "options": {
+        "tooltip": { "mode": "multi", "sort": "desc" }
+      },
+      "targets": [
+        {
+          "datasource": { "type": "prometheus" },
+          "expr": "rippled_transactions_Messages_In",
+          "legendFormat": "TX Messages In"
+        },
+        {
+          "datasource": { "type": "prometheus" },
+          "expr": "rippled_transactions_Messages_Out",
+          "legendFormat": "TX Messages Out"
+        },
+        {
+          "datasource": { "type": "prometheus" },
+          "expr": "rippled_transactions_duplicate_Messages_In",
+          "legendFormat": "TX Duplicate In"
+        }
+      ],
+      "fieldConfig": {
+        "defaults": {
+          "unit": "short",
+          "custom": {
+            "axisLabel": "Messages",
+            "spanNulls": true,
+            "insertNulls": false,
+            "showPoints": "auto",
+            "pointSize": 3
+          }
+        },
+        "overrides": []
+      }
+    },
+    {
+      "title": "Proposal Traffic",
+      "description": "Messages for consensus proposal overlay traffic. Includes proposals, proposals_untrusted, and proposals_duplicate categories (TrafficCount.h). High untrusted or duplicate counts may indicate UNL misconfiguration or network spam.",
+      "type": "timeseries",
+      "gridPos": { "h": 8, "w": 12, "x": 12, "y": 16 },
+      "options": {
+        "tooltip": { "mode": "multi", "sort": "desc" }
+      },
+      "targets": [
+        {
+          "datasource": { "type": "prometheus" },
+          "expr": "rippled_proposals_Messages_In",
+          "legendFormat": "Proposals In"
+        },
+        {
+          "datasource": { "type": "prometheus" },
+          "expr": "rippled_proposals_Messages_Out",
+          "legendFormat": "Proposals Out"
+        },
+        {
+          "datasource": { "type": "prometheus" },
+          "expr": "rippled_proposals_untrusted_Messages_In",
+          "legendFormat": "Untrusted In"
+        },
+        {
+          "datasource": { "type": "prometheus" },
+          "expr": "rippled_proposals_duplicate_Messages_In",
+          "legendFormat": "Duplicate In"
+        }
+      ],
+      "fieldConfig": {
+        "defaults": {
+          "unit": "short",
+          "custom": {
+            "axisLabel": "Messages",
+            "spanNulls": true,
+            "insertNulls": false,
+            "showPoints": "auto",
+            "pointSize": 3
+          }
+        },
+        "overrides": []
+      }
+    },
+    {
+      "title": "Validation Traffic",
+      "description": "Messages for validation overlay traffic. Includes validations, validations_untrusted, and validations_duplicate categories (TrafficCount.h). Monitoring trusted vs untrusted validation traffic helps detect UNL health issues.",
+      "type": "timeseries",
+      "gridPos": { "h": 8, "w": 12, "x": 0, "y": 24 },
+      "options": {
+        "tooltip": { "mode": "multi", "sort": "desc" }
+      },
+      "targets": [
+        {
+          "datasource": { "type": "prometheus" },
+          "expr": "rippled_validations_Messages_In",
+          "legendFormat": "Validations In"
+        },
+        {
+          "datasource": { "type": "prometheus" },
+          "expr": "rippled_validations_Messages_Out",
+          "legendFormat": "Validations Out"
+        },
+        {
+          "datasource": { "type": "prometheus" },
+          "expr": "rippled_validations_untrusted_Messages_In",
+          "legendFormat": "Untrusted In"
+        },
+        {
+          "datasource": { "type": "prometheus" },
+          "expr": "rippled_validations_duplicate_Messages_In",
+          "legendFormat": "Duplicate In"
+        }
+      ],
+      "fieldConfig": {
+        "defaults": {
+          "unit": "short",
+          "custom": {
+            "axisLabel": "Messages",
+            "spanNulls": true,
+            "insertNulls": false,
+            "showPoints": "auto",
+            "pointSize": 3
+          }
+        },
+        "overrides": []
+      }
+    },
+    {
+      "title": "Overlay Traffic by Category (Bytes In)",
+      "description": "Top traffic categories by inbound bytes. Includes all 57 overlay traffic categories from TrafficCount.h. Shows which protocol message types consume the most bandwidth. Categories include transactions, proposals, validations, ledger data, getobject, and overlay overhead.",
+      "type": "bargauge",
+      "gridPos": { "h": 8, "w": 12, "x": 12, "y": 24 },
+      "options": {
+        "tooltip": { "mode": "multi", "sort": "desc" }
+      },
+      "targets": [
+        {
+          "datasource": { "type": "prometheus" },
+          "expr": "topk(10, {__name__=~\"rippled_.*_Bytes_In\", __name__!~\"rippled_total_.*\"})",
+          "legendFormat": "{{__name__}}"
+        }
+      ],
+      "fieldConfig": {
+        "defaults": {
+          "unit": "decbytes"
+        },
+        "overrides": [
+          {
+            "matcher": {
+              "id": "byName",
+              "options": "rippled_transactions_Bytes_In"
+            },
+            "properties": [{ "id": "displayName", "value": "Transactions" }]
+          },
+          {
+            "matcher": {
+              "id": "byName",
+              "options": "rippled_proposals_Bytes_In"
+            },
+            "properties": [{ "id": "displayName", "value": "Proposals" }]
+          },
+          {
+            "matcher": {
+              "id": "byName",
+              "options": "rippled_validations_Bytes_In"
+            },
+            "properties": [{ "id": "displayName", "value": "Validations" }]
+          },
+          {
+            "matcher": {
+              "id": "byName",
+              "options": "rippled_overhead_Bytes_In"
+            },
+            "properties": [{ "id": "displayName", "value": "Overhead" }]
+          },
+          {
+            "matcher": {
+              "id": "byName",
+              "options": "rippled_overhead_overlay_Bytes_In"
+            },
+            "properties": [{ "id": "displayName", "value": "Overhead Overlay" }]
+          },
+          {
+            "matcher": { "id": "byName", "options": "rippled_ping_Bytes_In" },
+            "properties": [{ "id": "displayName", "value": "Ping" }]
+          },
+          {
+            "matcher": { "id": "byName", "options": "rippled_status_Bytes_In" },
+            "properties": [{ "id": "displayName", "value": "Status" }]
+          },
+          {
+            "matcher": {
+              "id": "byName",
+              "options": "rippled_getObject_Bytes_In"
+            },
+            "properties": [{ "id": "displayName", "value": "Get Object" }]
+          },
+          {
+            "matcher": {
+              "id": "byName",
+              "options": "rippled_haveTxSet_Bytes_In"
+            },
+            "properties": [{ "id": "displayName", "value": "Have Tx Set" }]
+          },
+          {
+            "matcher": {
+              "id": "byName",
+              "options": "rippled_ledgerData_Bytes_In"
+            },
+            "properties": [{ "id": "displayName", "value": "Ledger Data" }]
+          },
+          {
+            "matcher": {
+              "id": "byName",
+              "options": "rippled_ledger_share_Bytes_In"
+            },
+            "properties": [{ "id": "displayName", "value": "Ledger Share" }]
+          },
+          {
+            "matcher": {
+              "id": "byName",
+              "options": "rippled_ledger_data_get_Bytes_In"
+            },
+            "properties": [{ "id": "displayName", "value": "Ledger Data Get" }]
+          },
+          {
+            "matcher": {
+              "id": "byName",
+              "options": "rippled_ledger_data_share_Bytes_In"
+            },
+            "properties": [
+              { "id": "displayName", "value": "Ledger Data Share" }
+            ]
+          },
+          {
+            "matcher": {
+              "id": "byName",
+              "options": "rippled_ledger_data_Account_State_Node_get_Bytes_In"
+            },
+            "properties": [
+              { "id": "displayName", "value": "Account State Node Get" }
+            ]
+          },
+          {
+            "matcher": {
+              "id": "byName",
+              "options": "rippled_ledger_data_Account_State_Node_share_Bytes_In"
+            },
+            "properties": [
+              { "id": "displayName", "value": "Account State Node Share" }
+            ]
+          },
+          {
+            "matcher": {
+              "id": "byName",
+              "options": "rippled_ledger_data_Transaction_Node_get_Bytes_In"
+            },
+            "properties": [
+              { "id": "displayName", "value": "Transaction Node Get" }
+            ]
+          },
+          {
+            "matcher": {
+              "id": "byName",
+              "options": "rippled_ledger_data_Transaction_Node_share_Bytes_In"
+            },
+            "properties": [
+              { "id": "displayName", "value": "Transaction Node Share" }
+            ]
+          },
+          {
+            "matcher": {
+              "id": "byName",
+              "options": "rippled_ledger_data_Transaction_Set_candidate_get_Bytes_In"
+            },
+            "properties": [
+              { "id": "displayName", "value": "Tx Set Candidate Get" }
+            ]
+          },
+          {
+            "matcher": {
+              "id": "byName",
+              "options": "rippled_ledger_Account_State_node_share_Bytes_In"
+            },
+            "properties": [
+              {
+                "id": "displayName",
+                "value": "Account State Node Share (Legacy)"
+              }
+            ]
+          },
+          {
+            "matcher": {
+              "id": "byName",
+              "options": "rippled_ledger_Transaction_Set_candidate_share_Bytes_In"
+            },
+            "properties": [
+              { "id": "displayName", "value": "Tx Set Candidate Share" }
+            ]
+          },
+          {
+            "matcher": {
+              "id": "byName",
+              "options": "rippled_ledger_Transaction_node_share_Bytes_In"
+            },
+            "properties": [
+              {
+                "id": "displayName",
+                "value": "Transaction Node Share (Legacy)"
+              }
+            ]
+          },
+          {
+            "matcher": {
+              "id": "byName",
+              "options": "rippled_set_get_Bytes_In"
+            },
+            "properties": [{ "id": "displayName", "value": "Set Get" }]
+          }
+        ]
+      }
+    }
+  ],
+  "schemaVersion": 39,
+  "tags": ["rippled", "statsd", "network", "telemetry"],
+  "templating": { "list": [] },
+  "time": { "from": "now-1h", "to": "now" },
+  "title": "rippled Network Traffic (StatsD)",
+  "uid": "rippled-statsd-network"
+}
--- a/docker/telemetry/grafana/dashboards/statsd-node-health.json
+++ b/docker/telemetry/grafana/dashboards/statsd-node-health.json
@@ -0,0 +1,415 @@
+{
+  "annotations": {
+    "list": []
+  },
+  "description": "Node health metrics from beast::insight StatsD. Requires [insight] server=statsd in rippled config.",
+  "editable": true,
+  "fiscalYearStartMonth": 0,
+  "graphTooltip": 1,
+  "id": null,
+  "links": [],
+  "panels": [
+    {
+      "title": "Validated Ledger Age",
+      "description": "Age of the most recently validated ledger in seconds. Sourced from the LedgerMaster.Validated_Ledger_Age gauge (LedgerMaster.h:373) which is updated every collection interval via the insight hook. Values above 20s indicate the node is falling behind the network.",
+      "type": "stat",
+      "gridPos": {
+        "h": 8,
+        "w": 12,
+        "x": 0,
+        "y": 0
+      },
+      "options": {
+        "tooltip": {
+          "mode": "multi",
+          "sort": "desc"
+        }
+      },
+      "targets": [
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_LedgerMaster_Validated_Ledger_Age",
+          "legendFormat": "Validated Age"
+        }
+      ],
+      "fieldConfig": {
+        "defaults": {
+          "unit": "s",
+          "thresholds": {
+            "steps": [
+              {
+                "color": "green",
+                "value": null
+              },
+              {
+                "color": "yellow",
+                "value": 10
+              },
+              {
+                "color": "red",
+                "value": 20
+              }
+            ]
+          }
+        },
+        "overrides": []
+      }
+    },
+    {
+      "title": "Published Ledger Age",
+      "description": "Age of the most recently published ledger in seconds. Sourced from the LedgerMaster.Published_Ledger_Age gauge (LedgerMaster.h:374). Published ledger age should track close to validated ledger age. A growing gap indicates publish pipeline backlog.",
+      "type": "stat",
+      "gridPos": {
+        "h": 8,
+        "w": 12,
+        "x": 12,
+        "y": 0
+      },
+      "options": {
+        "tooltip": {
+          "mode": "multi",
+          "sort": "desc"
+        }
+      },
+      "targets": [
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_LedgerMaster_Published_Ledger_Age",
+          "legendFormat": "Published Age"
+        }
+      ],
+      "fieldConfig": {
+        "defaults": {
+          "unit": "s",
+          "thresholds": {
+            "steps": [
+              {
+                "color": "green",
+                "value": null
+              },
+              {
+                "color": "yellow",
+                "value": 10
+              },
+              {
+                "color": "red",
+                "value": 20
+              }
+            ]
+          }
+        },
+        "overrides": []
+      }
+    },
+    {
+      "title": "Operating Mode Duration",
+      "description": "Cumulative time spent in each operating mode (Disconnected, Connected, Syncing, Tracking, Full). Sourced from State_Accounting.*_duration gauges (NetworkOPs.cpp:774-778). A healthy node should spend the vast majority of time in Full mode.",
+      "type": "timeseries",
+      "gridPos": {
+        "h": 8,
+        "w": 12,
+        "x": 0,
+        "y": 8
+      },
+      "options": {
+        "tooltip": {
+          "mode": "multi",
+          "sort": "desc"
+        }
+      },
+      "targets": [
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_State_Accounting_Full_duration",
+          "legendFormat": "Full"
+        },
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_State_Accounting_Tracking_duration",
+          "legendFormat": "Tracking"
+        },
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_State_Accounting_Syncing_duration",
+          "legendFormat": "Syncing"
+        },
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_State_Accounting_Connected_duration",
+          "legendFormat": "Connected"
+        },
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_State_Accounting_Disconnected_duration",
+          "legendFormat": "Disconnected"
+        }
+      ],
+      "fieldConfig": {
+        "defaults": {
+          "unit": "s",
+          "custom": {
+            "axisLabel": "Duration (Sec)",
+            "spanNulls": true,
+            "insertNulls": false,
+            "showPoints": "auto",
+            "pointSize": 3
+          }
+        },
+        "overrides": []
+      }
+    },
+    {
+      "title": "Operating Mode Transitions",
+      "description": "Count of transitions into each operating mode. Sourced from State_Accounting.*_transitions gauges (NetworkOPs.cpp:780-786). Frequent transitions out of Full mode indicate instability. Transitions to Disconnected or Syncing warrant investigation.",
+      "type": "timeseries",
+      "gridPos": {
+        "h": 8,
+        "w": 12,
+        "x": 12,
+        "y": 8
+      },
+      "options": {
+        "tooltip": {
+          "mode": "multi",
+          "sort": "desc"
+        }
+      },
+      "targets": [
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_State_Accounting_Full_transitions",
+          "legendFormat": "Full"
+        },
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_State_Accounting_Tracking_transitions",
+          "legendFormat": "Tracking"
+        },
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_State_Accounting_Syncing_transitions",
+          "legendFormat": "Syncing"
+        },
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_State_Accounting_Connected_transitions",
+          "legendFormat": "Connected"
+        },
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_State_Accounting_Disconnected_transitions",
+          "legendFormat": "Disconnected"
+        }
+      ],
+      "fieldConfig": {
+        "defaults": {
+          "unit": "short",
+          "custom": {
+            "axisLabel": "Transitions",
+            "spanNulls": true,
+            "insertNulls": false,
+            "showPoints": "auto",
+            "pointSize": 3
+          }
+        },
+        "overrides": []
+      }
+    },
+    {
+      "title": "I/O Latency",
+      "description": "P95 and P50 of the I/O service loop latency in milliseconds. Sourced from the ios_latency event (Application.cpp:438) which measures how long it takes for the io_context to process a timer callback. Values above 10ms are logged; above 500ms trigger warnings. High values indicate thread pool saturation or blocking operations.",
+      "type": "timeseries",
+      "gridPos": {
+        "h": 8,
+        "w": 12,
+        "x": 0,
+        "y": 16
+      },
+      "options": {
+        "tooltip": {
+          "mode": "multi",
+          "sort": "desc"
+        }
+      },
+      "targets": [
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_ios_latency{quantile=\"0.95\"}",
+          "legendFormat": "P95 I/O Latency"
+        },
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_ios_latency{quantile=\"0.5\"}",
+          "legendFormat": "P50 I/O Latency"
+        }
+      ],
+      "fieldConfig": {
+        "defaults": {
+          "unit": "ms",
+          "custom": {
+            "axisLabel": "Latency (ms)",
+            "spanNulls": true,
+            "insertNulls": false,
+            "showPoints": "auto",
+            "pointSize": 3
+          }
+        },
+        "overrides": []
+      }
+    },
+    {
+      "title": "Job Queue Depth",
+      "description": "Current number of jobs waiting in the job queue. Sourced from the job_count gauge (JobQueue.cpp:26). A sustained high value indicates the node cannot process work fast enough \u2014 common during ledger replay or heavy RPC load.",
+      "type": "timeseries",
+      "gridPos": {
+        "h": 8,
+        "w": 12,
+        "x": 12,
+        "y": 16
+      },
+      "options": {
+        "tooltip": {
+          "mode": "multi",
+          "sort": "desc"
+        }
+      },
+      "targets": [
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_job_count",
+          "legendFormat": "Job Queue Depth"
+        }
+      ],
+      "fieldConfig": {
+        "defaults": {
+          "unit": "short",
+          "custom": {
+            "axisLabel": "Jobs",
+            "spanNulls": true,
+            "insertNulls": false,
+            "showPoints": "auto",
+            "pointSize": 3
+          }
+        },
+        "overrides": []
+      }
+    },
+    {
+      "title": "Ledger Fetch Rate",
+      "description": "Rate of ledger fetch requests initiated by the node. Sourced from the ledger_fetches counter (InboundLedgers.cpp:44) which increments each time the node requests a ledger from a peer. High rates indicate the node is catching up or missing ledgers.",
+      "type": "stat",
+      "gridPos": {
+        "h": 8,
+        "w": 12,
+        "x": 0,
+        "y": 24
+      },
+      "options": {
+        "tooltip": {
+          "mode": "multi",
+          "sort": "desc"
+        }
+      },
+      "targets": [
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rate(rippled_ledger_fetches_total[5m])",
+          "legendFormat": "Fetches / Sec"
+        }
+      ],
+      "fieldConfig": {
+        "defaults": {
+          "unit": "ops"
+        },
+        "overrides": []
+      }
+    },
+    {
+      "title": "Ledger History Mismatches",
+      "description": "Rate of ledger history hash mismatches. Sourced from the ledger.history.mismatch counter (LedgerHistory.cpp:16) which increments when a built ledger hash does not match the expected validated hash. Non-zero values indicate consensus divergence or database corruption.",
+      "type": "stat",
+      "gridPos": {
+        "h": 8,
+        "w": 12,
+        "x": 12,
+        "y": 24
+      },
+      "options": {
+        "tooltip": {
+          "mode": "multi",
+          "sort": "desc"
+        }
+      },
+      "targets": [
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rate(rippled_ledger_history_mismatch_total[5m])",
+          "legendFormat": "Mismatches / Sec"
+        }
+      ],
+      "fieldConfig": {
+        "defaults": {
+          "unit": "ops",
+          "thresholds": {
+            "steps": [
+              {
+                "color": "green",
+                "value": null
+              },
+              {
+                "color": "red",
+                "value": 0.01
+              }
+            ]
+          }
+        },
+        "overrides": []
+      }
+    }
+  ],
+  "schemaVersion": 39,
+  "tags": ["rippled", "statsd", "node-health", "telemetry"],
+  "templating": {
+    "list": []
+  },
+  "time": {
+    "from": "now-1h",
+    "to": "now"
+  },
+  "title": "rippled Node Health (StatsD)",
+  "uid": "rippled-statsd-node-health"
+}
--- a/docker/telemetry/grafana/dashboards/statsd-rpc-pathfinding.json
+++ b/docker/telemetry/grafana/dashboards/statsd-rpc-pathfinding.json
@@ -0,0 +1,396 @@
+{
+  "annotations": {
+    "list": []
+  },
+  "description": "RPC and pathfinding metrics from beast::insight StatsD. Requires [insight] server=statsd in rippled config.",
+  "editable": true,
+  "fiscalYearStartMonth": 0,
+  "graphTooltip": 1,
+  "id": null,
+  "links": [],
+  "panels": [
+    {
+      "title": "RPC Request Rate (StatsD)",
+      "description": "Rate of RPC requests as counted by the beast::insight counter. Sourced from rpc.requests (ServerHandler.cpp:108) which increments on every HTTP and WebSocket RPC request. Compare with the span-based rpc.request rate in the RPC Performance dashboard for cross-validation.",
+      "type": "stat",
+      "gridPos": {
+        "h": 8,
+        "w": 12,
+        "x": 0,
+        "y": 0
+      },
+      "options": {
+        "tooltip": {
+          "mode": "multi",
+          "sort": "desc"
+        }
+      },
+      "targets": [
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rate(rippled_rpc_requests_total[5m])",
+          "legendFormat": "Requests / Sec"
+        }
+      ],
+      "fieldConfig": {
+        "defaults": {
+          "unit": "reqps"
+        },
+        "overrides": []
+      }
+    },
+    {
+      "title": "RPC Response Time (StatsD)",
+      "description": "P95 and P50 of RPC response time from the beast::insight timer. Sourced from the rpc.time event (ServerHandler.cpp:110) which records elapsed milliseconds for each RPC response. This measures the full HTTP handler time, not just command execution. Compare with span-based rpc.request duration.",
+      "type": "timeseries",
+      "gridPos": {
+        "h": 8,
+        "w": 12,
+        "x": 12,
+        "y": 0
+      },
+      "options": {
+        "tooltip": {
+          "mode": "multi",
+          "sort": "desc"
+        }
+      },
+      "targets": [
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_rpc_time{quantile=\"0.95\"}",
+          "legendFormat": "P95 Response Time"
+        },
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_rpc_time{quantile=\"0.5\"}",
+          "legendFormat": "P50 Response Time"
+        }
+      ],
+      "fieldConfig": {
+        "defaults": {
+          "unit": "ms",
+          "custom": {
+            "axisLabel": "Latency (ms)",
+            "spanNulls": true,
+            "insertNulls": false,
+            "showPoints": "auto",
+            "pointSize": 3
+          }
+        },
+        "overrides": []
+      }
+    },
+    {
+      "title": "RPC Response Size",
+      "description": "P95 and P50 of RPC response payload size in bytes. Sourced from the rpc.size event (ServerHandler.cpp:109) which records the byte length of each RPC JSON response. Large responses may indicate expensive queries (e.g. account_tx with many results) or API misuse.",
+      "type": "timeseries",
+      "gridPos": {
+        "h": 8,
+        "w": 12,
+        "x": 0,
+        "y": 8
+      },
+      "options": {
+        "tooltip": {
+          "mode": "multi",
+          "sort": "desc"
+        }
+      },
+      "targets": [
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_rpc_size{quantile=\"0.95\"}",
+          "legendFormat": "P95 Response Size"
+        },
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_rpc_size{quantile=\"0.5\"}",
+          "legendFormat": "P50 Response Size"
+        }
+      ],
+      "fieldConfig": {
+        "defaults": {
+          "unit": "decbytes",
+          "custom": {
+            "axisLabel": "Size (Bytes)",
+            "spanNulls": true,
+            "insertNulls": false,
+            "showPoints": "auto",
+            "pointSize": 3
+          }
+        },
+        "overrides": []
+      }
+    },
+    {
+      "title": "RPC Response Time Distribution",
+      "description": "Distribution of RPC response times from the beast::insight timer showing P50, P90, P95, and P99 quantiles. Sourced from the rpc.time event (ServerHandler.cpp:110). Useful for detecting bimodal latency or long-tail requests.",
+      "type": "timeseries",
+      "gridPos": {
+        "h": 8,
+        "w": 12,
+        "x": 12,
+        "y": 8
+      },
+      "options": {
+        "tooltip": {
+          "mode": "multi",
+          "sort": "desc"
+        }
+      },
+      "targets": [
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_rpc_time{quantile=\"0.5\"}",
+          "legendFormat": "P50"
+        },
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_rpc_time{quantile=\"0.9\"}",
+          "legendFormat": "P90"
+        },
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_rpc_time{quantile=\"0.95\"}",
+          "legendFormat": "P95"
+        },
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_rpc_time{quantile=\"0.99\"}",
+          "legendFormat": "P99"
+        }
+      ],
+      "fieldConfig": {
+        "defaults": {
+          "unit": "ms",
+          "custom": {
+            "axisLabel": "Latency (ms)",
+            "spanNulls": true,
+            "insertNulls": false,
+            "showPoints": "auto",
+            "pointSize": 3
+          }
+        },
+        "overrides": []
+      }
+    },
+    {
+      "title": "Pathfinding Fast Duration",
+      "description": "P95 and P50 of fast pathfinding execution time. Sourced from the pathfind_fast event (PathRequests.h:23) which records the duration of the fast pathfinding algorithm. Fast pathfinding uses a simplified search that trades accuracy for speed.",
+      "type": "timeseries",
+      "gridPos": {
+        "h": 8,
+        "w": 12,
+        "x": 0,
+        "y": 16
+      },
+      "options": {
+        "tooltip": {
+          "mode": "multi",
+          "sort": "desc"
+        }
+      },
+      "targets": [
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_pathfind_fast{quantile=\"0.95\"}",
+          "legendFormat": "P95 Fast Pathfind"
+        },
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_pathfind_fast{quantile=\"0.5\"}",
+          "legendFormat": "P50 Fast Pathfind"
+        }
+      ],
+      "fieldConfig": {
+        "defaults": {
+          "unit": "ms",
+          "custom": {
+            "axisLabel": "Duration (ms)",
+            "spanNulls": true,
+            "insertNulls": false,
+            "showPoints": "auto",
+            "pointSize": 3
+          }
+        },
+        "overrides": []
+      }
+    },
+    {
+      "title": "Pathfinding Full Duration",
+      "description": "P95 and P50 of full pathfinding execution time. Sourced from the pathfind_full event (PathRequests.h:24) which records the duration of the exhaustive pathfinding search. Full pathfinding is more expensive and can take significantly longer than fast mode.",
+      "type": "timeseries",
+      "gridPos": {
+        "h": 8,
+        "w": 12,
+        "x": 12,
+        "y": 16
+      },
+      "options": {
+        "tooltip": {
+          "mode": "multi",
+          "sort": "desc"
+        }
+      },
+      "targets": [
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_pathfind_full{quantile=\"0.95\"}",
+          "legendFormat": "P95 Full Pathfind"
+        },
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_pathfind_full{quantile=\"0.5\"}",
+          "legendFormat": "P50 Full Pathfind"
+        }
+      ],
+      "fieldConfig": {
+        "defaults": {
+          "unit": "ms",
+          "custom": {
+            "axisLabel": "Duration (ms)",
+            "spanNulls": true,
+            "insertNulls": false,
+            "showPoints": "auto",
+            "pointSize": 3
+          }
+        },
+        "overrides": []
+      }
+    },
+    {
+      "title": "Resource Warnings Rate",
+      "description": "Rate of resource warning events from the Resource Manager. Sourced from the warn meter (Logic.h:33) which increments when a consumer (peer or RPC client) exceeds the warning threshold for resource usage. A rising rate indicates aggressive clients that may need throttling. NOTE: This panel will show no data until the |m -> |c fix is applied in StatsDCollector.cpp:706 (Phase 6 Task 6.1).",
+      "type": "stat",
+      "gridPos": {
+        "h": 8,
+        "w": 12,
+        "x": 0,
+        "y": 24
+      },
+      "options": {
+        "tooltip": {
+          "mode": "multi",
+          "sort": "desc"
+        }
+      },
+      "targets": [
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rate(rippled_warn_total[5m])",
+          "legendFormat": "Warnings / Sec"
+        }
+      ],
+      "fieldConfig": {
+        "defaults": {
+          "unit": "ops",
+          "thresholds": {
+            "steps": [
+              {
+                "color": "green",
+                "value": null
+              },
+              {
+                "color": "yellow",
+                "value": 0.1
+              },
+              {
+                "color": "red",
+                "value": 1
+              }
+            ]
+          }
+        },
+        "overrides": []
+      }
+    },
+    {
+      "title": "Resource Drops Rate",
+      "description": "Rate of resource drop events from the Resource Manager. Sourced from the drop meter (Logic.h:34) which increments when a consumer is disconnected or blocked due to excessive resource usage. Non-zero values mean the node is actively rejecting abusive connections. NOTE: This panel will show no data until the |m -> |c fix is applied in StatsDCollector.cpp:706 (Phase 6 Task 6.1).",
+      "type": "stat",
+      "gridPos": {
+        "h": 8,
+        "w": 12,
+        "x": 12,
+        "y": 24
+      },
+      "options": {
+        "tooltip": {
+          "mode": "multi",
+          "sort": "desc"
+        }
+      },
+      "targets": [
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rate(rippled_drop_total[5m])",
+          "legendFormat": "Drops / Sec"
+        }
+      ],
+      "fieldConfig": {
+        "defaults": {
+          "unit": "ops",
+          "thresholds": {
+            "steps": [
+              {
+                "color": "green",
+                "value": null
+              },
+              {
+                "color": "yellow",
+                "value": 0.01
+              },
+              {
+                "color": "red",
+                "value": 0.1
+              }
+            ]
+          }
+        },
+        "overrides": []
+      }
+    }
+  ],
+  "schemaVersion": 39,
+  "tags": ["rippled", "statsd", "rpc", "pathfinding", "telemetry"],
+  "templating": {
+    "list": []
+  },
+  "time": {
+    "from": "now-1h",
+    "to": "now"
+  },
+  "title": "rippled RPC & Pathfinding (StatsD)",
+  "uid": "rippled-statsd-rpc"
+}
--- a/docker/telemetry/grafana/dashboards/system-ledger-data-sync.json
+++ b/docker/telemetry/grafana/dashboards/system-ledger-data-sync.json
@@ -0,0 +1,527 @@
+{
+  "annotations": {
+    "list": []
+  },
+  "description": "Ledger data exchange and object fetch traffic from beast::insight System Metrics. Covers ledger sync, node data retrieval, and transaction set exchange. Requires [insight] server=otel in rippled config.",
+  "editable": true,
+  "fiscalYearStartMonth": 0,
+  "graphTooltip": 1,
+  "id": null,
+  "links": [],
+  "panels": [
+    {
+      "title": "Ledger Data Exchange (Bytes In)",
+      "description": "Inbound bytes for ledger data sub-categories. 'ledger_data' = aggregated ledger data, sub-types include Transaction_Set_candidate (proposed tx sets), Transaction_Node (tx tree nodes), and Account_State_Node (state tree nodes). High Account_State_Node traffic indicates state sync; high Transaction_Set_candidate indicates consensus catch-up. Sourced from TrafficCount.h ledger_data_* categories.",
+      "type": "timeseries",
+      "gridPos": {
+        "h": 8,
+        "w": 12,
+        "x": 0,
+        "y": 0
+      },
+      "options": {
+        "tooltip": {
+          "mode": "multi",
+          "sort": "desc"
+        }
+      },
+      "targets": [
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_ledger_data_get_Bytes_In{exported_instance=~\"$node\"}",
+          "legendFormat": "Ledger Data Get [{{exported_instance}}]"
+        },
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_ledger_data_share_Bytes_In{exported_instance=~\"$node\"}",
+          "legendFormat": "Ledger Data Share [{{exported_instance}}]"
+        },
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_ledger_data_Transaction_Set_candidate_get_Bytes_In{exported_instance=~\"$node\"}",
+          "legendFormat": "TX Set Candidate Get [{{exported_instance}}]"
+        },
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_ledger_data_Transaction_Set_candidate_share_Bytes_In{exported_instance=~\"$node\"}",
+          "legendFormat": "TX Set Candidate Share [{{exported_instance}}]"
+        },
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_ledger_data_Transaction_Node_get_Bytes_In{exported_instance=~\"$node\"}",
+          "legendFormat": "TX Node Get [{{exported_instance}}]"
+        },
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_ledger_data_Transaction_Node_share_Bytes_In{exported_instance=~\"$node\"}",
+          "legendFormat": "TX Node Share [{{exported_instance}}]"
+        },
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_ledger_data_Account_State_Node_get_Bytes_In{exported_instance=~\"$node\"}",
+          "legendFormat": "Account State Node Get [{{exported_instance}}]"
+        },
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_ledger_data_Account_State_Node_share_Bytes_In{exported_instance=~\"$node\"}",
+          "legendFormat": "Account State Node Share [{{exported_instance}}]"
+        }
+      ],
+      "fieldConfig": {
+        "defaults": {
+          "unit": "decbytes",
+          "custom": {
+            "axisLabel": "Bytes In",
+            "spanNulls": true,
+            "insertNulls": false,
+            "showPoints": "auto",
+            "pointSize": 3
+          }
+        },
+        "overrides": []
+      }
+    },
+    {
+      "title": "Ledger Share/Get Traffic (Bytes)",
+      "description": "Legacy ledger share and get traffic by sub-type. These are the older ledger fetch protocol categories (as opposed to ledger_data_* which is the newer protocol). Sub-types: Transaction_Set_candidate, Transaction_node, Account_State_node, plus aggregate ledger_share and ledger_get. Sourced from TrafficCount.h ledger_* categories.",
+      "type": "timeseries",
+      "gridPos": {
+        "h": 8,
+        "w": 12,
+        "x": 12,
+        "y": 0
+      },
+      "options": {
+        "tooltip": {
+          "mode": "multi",
+          "sort": "desc"
+        }
+      },
+      "targets": [
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_ledger_share_Bytes_In{exported_instance=~\"$node\"}",
+          "legendFormat": "Ledger Share In [{{exported_instance}}]"
+        },
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_ledger_get_Bytes_In{exported_instance=~\"$node\"}",
+          "legendFormat": "Ledger Get In [{{exported_instance}}]"
+        },
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_ledger_Transaction_Set_candidate_share_Bytes_In{exported_instance=~\"$node\"}",
+          "legendFormat": "TX Set Candidate Share [{{exported_instance}}]"
+        },
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_ledger_Transaction_Set_candidate_get_Bytes_In{exported_instance=~\"$node\"}",
+          "legendFormat": "TX Set Candidate Get [{{exported_instance}}]"
+        },
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_ledger_Transaction_node_share_Bytes_In{exported_instance=~\"$node\"}",
+          "legendFormat": "TX Node Share [{{exported_instance}}]"
+        },
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_ledger_Transaction_node_get_Bytes_In{exported_instance=~\"$node\"}",
+          "legendFormat": "TX Node Get [{{exported_instance}}]"
+        },
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_ledger_Account_State_node_share_Bytes_In{exported_instance=~\"$node\"}",
+          "legendFormat": "Account State Share [{{exported_instance}}]"
+        },
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_ledger_Account_State_node_get_Bytes_In{exported_instance=~\"$node\"}",
+          "legendFormat": "Account State Get [{{exported_instance}}]"
+        }
+      ],
+      "fieldConfig": {
+        "defaults": {
+          "unit": "decbytes",
+          "custom": {
+            "axisLabel": "Bytes In",
+            "spanNulls": true,
+            "insertNulls": false,
+            "showPoints": "auto",
+            "pointSize": 3
+          }
+        },
+        "overrides": []
+      }
+    },
+    {
+      "title": "GetObject Traffic by Type (Bytes In)",
+      "description": "Object fetch traffic by object type. GetObject is the protocol for fetching specific SHAMap nodes. Types: Ledger (full ledger headers), Transaction (individual txs), Transaction_node (tx tree nodes), Account_State_node (state tree nodes), CAS (Content Addressable Storage objects), Fetch_Pack (batch fetch during catch-up), Transactions (bulk tx fetch). High Fetch_Pack traffic indicates a node is catching up. Sourced from TrafficCount.h getobject_* categories.",
+      "type": "timeseries",
+      "gridPos": {
+        "h": 8,
+        "w": 12,
+        "x": 0,
+        "y": 8
+      },
+      "options": {
+        "tooltip": {
+          "mode": "multi",
+          "sort": "desc"
+        }
+      },
+      "targets": [
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_getobject_Ledger_get_Bytes_In{exported_instance=~\"$node\"}",
+          "legendFormat": "Ledger Get [{{exported_instance}}]"
+        },
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_getobject_Ledger_share_Bytes_In{exported_instance=~\"$node\"}",
+          "legendFormat": "Ledger Share [{{exported_instance}}]"
+        },
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_getobject_Transaction_get_Bytes_In{exported_instance=~\"$node\"}",
+          "legendFormat": "Transaction Get [{{exported_instance}}]"
+        },
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_getobject_Transaction_share_Bytes_In{exported_instance=~\"$node\"}",
+          "legendFormat": "Transaction Share [{{exported_instance}}]"
+        },
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_getobject_Transaction_node_get_Bytes_In{exported_instance=~\"$node\"}",
+          "legendFormat": "TX Node Get [{{exported_instance}}]"
+        },
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_getobject_Transaction_node_share_Bytes_In{exported_instance=~\"$node\"}",
+          "legendFormat": "TX Node Share [{{exported_instance}}]"
+        },
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_getobject_Account_State_node_get_Bytes_In{exported_instance=~\"$node\"}",
+          "legendFormat": "Account State Get [{{exported_instance}}]"
+        },
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_getobject_Account_State_node_share_Bytes_In{exported_instance=~\"$node\"}",
+          "legendFormat": "Account State Share [{{exported_instance}}]"
+        }
+      ],
+      "fieldConfig": {
+        "defaults": {
+          "unit": "decbytes",
+          "custom": {
+            "axisLabel": "Bytes In",
+            "spanNulls": true,
+            "insertNulls": false,
+            "showPoints": "auto",
+            "pointSize": 3
+          }
+        },
+        "overrides": []
+      }
+    },
+    {
+      "title": "GetObject Aggregate & Special Types (Bytes In)",
+      "description": "Aggregate getobject traffic plus special categories: CAS (Content Addressable Storage) for SHAMap node fetch, Fetch_Pack for bulk batch downloads during catch-up, Transactions for bulk tx fetch, and the aggregate getobject_get/getobject_share totals. Sourced from TrafficCount.h getobject_* categories.",
+      "type": "timeseries",
+      "gridPos": {
+        "h": 8,
+        "w": 12,
+        "x": 12,
+        "y": 8
+      },
+      "options": {
+        "tooltip": {
+          "mode": "multi",
+          "sort": "desc"
+        }
+      },
+      "targets": [
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_getobject_CAS_get_Bytes_In{exported_instance=~\"$node\"}",
+          "legendFormat": "CAS Get [{{exported_instance}}]"
+        },
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_getobject_CAS_share_Bytes_In{exported_instance=~\"$node\"}",
+          "legendFormat": "CAS Share [{{exported_instance}}]"
+        },
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_getobject_Fetch_Pack_share_Bytes_In{exported_instance=~\"$node\"}",
+          "legendFormat": "Fetch Pack Share [{{exported_instance}}]"
+        },
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_getobject_Fetch_Pack_get_Bytes_In{exported_instance=~\"$node\"}",
+          "legendFormat": "Fetch Pack Get [{{exported_instance}}]"
+        },
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_getobject_Transactions_get_Bytes_In{exported_instance=~\"$node\"}",
+          "legendFormat": "Transactions Get [{{exported_instance}}]"
+        },
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_getobject_get_Bytes_In{exported_instance=~\"$node\"}",
+          "legendFormat": "Aggregate Get [{{exported_instance}}]"
+        },
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_getobject_share_Bytes_In{exported_instance=~\"$node\"}",
+          "legendFormat": "Aggregate Share [{{exported_instance}}]"
+        }
+      ],
+      "fieldConfig": {
+        "defaults": {
+          "unit": "decbytes",
+          "custom": {
+            "axisLabel": "Bytes In",
+            "spanNulls": true,
+            "insertNulls": false,
+            "showPoints": "auto",
+            "pointSize": 3
+          }
+        },
+        "overrides": []
+      }
+    },
+    {
+      "title": "GetObject Messages by Type",
+      "description": "Message counts for object fetch operations. Shows how many individual fetch requests and responses are exchanged per type. High message counts with low byte counts indicate small object fetches; the inverse indicates large batch transfers. Sourced from TrafficCount.h getobject_* categories.",
+      "type": "timeseries",
+      "gridPos": {
+        "h": 8,
+        "w": 12,
+        "x": 0,
+        "y": 16
+      },
+      "options": {
+        "tooltip": {
+          "mode": "multi",
+          "sort": "desc"
+        }
+      },
+      "targets": [
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_getobject_Ledger_get_Messages_In{exported_instance=~\"$node\"}",
+          "legendFormat": "Ledger Get [{{exported_instance}}]"
+        },
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_getobject_Transaction_get_Messages_In{exported_instance=~\"$node\"}",
+          "legendFormat": "Transaction Get [{{exported_instance}}]"
+        },
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_getobject_Transaction_node_get_Messages_In{exported_instance=~\"$node\"}",
+          "legendFormat": "TX Node Get [{{exported_instance}}]"
+        },
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_getobject_Account_State_node_get_Messages_In{exported_instance=~\"$node\"}",
+          "legendFormat": "Account State Get [{{exported_instance}}]"
+        },
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_getobject_CAS_get_Messages_In{exported_instance=~\"$node\"}",
+          "legendFormat": "CAS Get [{{exported_instance}}]"
+        },
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_getobject_Fetch_Pack_get_Messages_In{exported_instance=~\"$node\"}",
+          "legendFormat": "Fetch Pack Get [{{exported_instance}}]"
+        },
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_getobject_Transactions_get_Messages_In{exported_instance=~\"$node\"}",
+          "legendFormat": "Transactions Get [{{exported_instance}}]"
+        }
+      ],
+      "fieldConfig": {
+        "defaults": {
+          "unit": "none",
+          "custom": {
+            "axisLabel": "Messages In",
+            "spanNulls": true,
+            "insertNulls": false,
+            "showPoints": "auto",
+            "pointSize": 3
+          }
+        },
+        "overrides": []
+      }
+    },
+    {
+      "title": "Overlay Traffic Heatmap (All Categories, Bytes In)",
+      "description": "Bar gauge showing all overlay traffic categories ranked by inbound bytes. Provides a complete at-a-glance view of which protocol message types consume the most bandwidth across all 57+ traffic categories. Sourced from all TrafficCount.h categories via wildcard match.",
+      "type": "bargauge",
+      "gridPos": {
+        "h": 8,
+        "w": 12,
+        "x": 12,
+        "y": 16
+      },
+      "options": {
+        "tooltip": {
+          "mode": "multi",
+          "sort": "desc"
+        },
+        "displayMode": "gradient",
+        "orientation": "horizontal",
+        "reduceOptions": {
+          "calcs": ["lastNotNull"],
+          "fields": "",
+          "values": false
+        }
+      },
+      "targets": [
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "topk(20, {exported_instance=~\"$node\", __name__=~\"rippled_.*_Bytes_In\", __name__!~\"rippled_total_.*\"})",
+          "legendFormat": "{{__name__}} [{{exported_instance}}]"
+        }
+      ],
+      "fieldConfig": {
+        "defaults": {
+          "unit": "decbytes",
+          "thresholds": {
+            "mode": "absolute",
+            "steps": [
+              {
+                "color": "green",
+                "value": null
+              },
+              {
+                "color": "yellow",
+                "value": 1048576
+              },
+              {
+                "color": "red",
+                "value": 104857600
+              }
+            ]
+          }
+        },
+        "overrides": []
+      }
+    }
+  ],
+  "schemaVersion": 39,
+  "tags": ["rippled", "statsd", "ledger", "sync", "telemetry"],
+  "templating": {
+    "list": [
+      {
+        "name": "node",
+        "label": "Node",
+        "description": "Filter by rippled node (service.instance.id)",
+        "type": "query",
+        "query": "label_values(rippled_ledger_data_get_Bytes_In, exported_instance)",
+        "datasource": {
+          "type": "prometheus",
+          "uid": "prometheus"
+        },
+        "includeAll": true,
+        "allValue": ".*",
+        "current": {
+          "text": "All",
+          "value": "$__all"
+        },
+        "multi": true,
+        "refresh": 2,
+        "sort": 1
+      }
+    ]
+  },
+  "time": {
+    "from": "now-1h",
+    "to": "now"
+  },
+  "title": "Ledger Data & Sync (System Metrics)",
+  "uid": "rippled-system-ledger-sync"
+}
--- a/docker/telemetry/grafana/dashboards/system-network-traffic.json
+++ b/docker/telemetry/grafana/dashboards/system-network-traffic.json
@@ -0,0 +1,692 @@
+{
+  "annotations": {
+    "list": []
+  },
+  "description": "Network traffic and peer metrics from beast::insight System Metrics. Requires [insight] server=otel in rippled config.",
+  "editable": true,
+  "fiscalYearStartMonth": 0,
+  "graphTooltip": 1,
+  "id": null,
+  "links": [],
+  "panels": [
+    {
+      "title": "Active Peers",
+      "description": "Number of active inbound and outbound peer connections. Sourced from Peer_Finder.Active_Inbound_Peers and Peer_Finder.Active_Outbound_Peers gauges (PeerfinderManager.cpp:214-215). A healthy mainnet node typically has 10-21 outbound and 0-85 inbound peers depending on configuration.",
+      "type": "timeseries",
+      "gridPos": {
+        "h": 8,
+        "w": 12,
+        "x": 0,
+        "y": 0
+      },
+      "options": {
+        "tooltip": {
+          "mode": "multi",
+          "sort": "desc"
+        }
+      },
+      "targets": [
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_Peer_Finder_Active_Inbound_Peers{exported_instance=~\"$node\"}",
+          "legendFormat": "Inbound Peers [{{exported_instance}}]"
+        },
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_Peer_Finder_Active_Outbound_Peers{exported_instance=~\"$node\"}",
+          "legendFormat": "Outbound Peers [{{exported_instance}}]"
+        }
+      ],
+      "fieldConfig": {
+        "defaults": {
+          "unit": "none",
+          "custom": {
+            "axisLabel": "Peers",
+            "spanNulls": true,
+            "insertNulls": false,
+            "showPoints": "auto",
+            "pointSize": 3
+          }
+        },
+        "overrides": []
+      }
+    },
+    {
+      "title": "Peer Disconnects",
+      "description": "Cumulative count of peer disconnections. Sourced from the Overlay.Peer_Disconnects gauge (OverlayImpl.h:557). A rising trend indicates network instability, aggressive peer management, or resource exhaustion causing connection drops.",
+      "type": "timeseries",
+      "gridPos": {
+        "h": 8,
+        "w": 12,
+        "x": 12,
+        "y": 0
+      },
+      "options": {
+        "tooltip": {
+          "mode": "multi",
+          "sort": "desc"
+        }
+      },
+      "targets": [
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_Overlay_Peer_Disconnects{exported_instance=~\"$node\"}",
+          "legendFormat": "Disconnects [{{exported_instance}}]"
+        }
+      ],
+      "fieldConfig": {
+        "defaults": {
+          "unit": "none",
+          "custom": {
+            "axisLabel": "Disconnects",
+            "spanNulls": true,
+            "insertNulls": false,
+            "showPoints": "auto",
+            "pointSize": 3
+          }
+        },
+        "overrides": []
+      }
+    },
+    {
+      "title": "Total Network Bytes",
+      "description": "Total bytes sent and received across all peer connections. Sourced from the total.Bytes_In and total.Bytes_Out traffic category gauges (OverlayImpl.h:535-548). Provides a high-level view of network bandwidth consumption.",
+      "type": "timeseries",
+      "gridPos": {
+        "h": 8,
+        "w": 12,
+        "x": 0,
+        "y": 8
+      },
+      "options": {
+        "tooltip": {
+          "mode": "multi",
+          "sort": "desc"
+        }
+      },
+      "targets": [
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_total_Bytes_In{exported_instance=~\"$node\"}",
+          "legendFormat": "Bytes In [{{exported_instance}}]"
+        },
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_total_Bytes_Out{exported_instance=~\"$node\"}",
+          "legendFormat": "Bytes Out [{{exported_instance}}]"
+        }
+      ],
+      "fieldConfig": {
+        "defaults": {
+          "unit": "decbytes",
+          "custom": {
+            "axisLabel": "Bytes",
+            "spanNulls": true,
+            "insertNulls": false,
+            "showPoints": "auto",
+            "pointSize": 3
+          }
+        },
+        "overrides": []
+      }
+    },
+    {
+      "title": "Total Network Messages",
+      "description": "Total messages sent and received across all peer connections. Sourced from the total.Messages_In and total.Messages_Out traffic category gauges (OverlayImpl.h:535-548). Shows the overall message throughput of the overlay network.",
+      "type": "timeseries",
+      "gridPos": {
+        "h": 8,
+        "w": 12,
+        "x": 12,
+        "y": 8
+      },
+      "options": {
+        "tooltip": {
+          "mode": "multi",
+          "sort": "desc"
+        }
+      },
+      "targets": [
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_total_Messages_In{exported_instance=~\"$node\"}",
+          "legendFormat": "Messages In [{{exported_instance}}]"
+        },
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_total_Messages_Out{exported_instance=~\"$node\"}",
+          "legendFormat": "Messages Out [{{exported_instance}}]"
+        }
+      ],
+      "fieldConfig": {
+        "defaults": {
+          "unit": "none",
+          "custom": {
+            "axisLabel": "Messages",
+            "spanNulls": true,
+            "insertNulls": false,
+            "showPoints": "auto",
+            "pointSize": 3
+          }
+        },
+        "overrides": []
+      }
+    },
+    {
+      "title": "Transaction Traffic",
+      "description": "Bytes and messages for transaction-related overlay traffic. Includes the transactions traffic category (OverlayImpl/TrafficCount.h). Spikes indicate high transaction volume on the network or transaction flooding.",
+      "type": "timeseries",
+      "gridPos": {
+        "h": 8,
+        "w": 12,
+        "x": 0,
+        "y": 16
+      },
+      "options": {
+        "tooltip": {
+          "mode": "multi",
+          "sort": "desc"
+        }
+      },
+      "targets": [
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_transactions_Messages_In{exported_instance=~\"$node\"}",
+          "legendFormat": "TX Messages In [{{exported_instance}}]"
+        },
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_transactions_Messages_Out{exported_instance=~\"$node\"}",
+          "legendFormat": "TX Messages Out [{{exported_instance}}]"
+        },
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_transactions_duplicate_Messages_In{exported_instance=~\"$node\"}",
+          "legendFormat": "TX Duplicate In [{{exported_instance}}]"
+        }
+      ],
+      "fieldConfig": {
+        "defaults": {
+          "unit": "none",
+          "custom": {
+            "axisLabel": "Messages",
+            "spanNulls": true,
+            "insertNulls": false,
+            "showPoints": "auto",
+            "pointSize": 3
+          }
+        },
+        "overrides": []
+      }
+    },
+    {
+      "title": "Proposal Traffic",
+      "description": "Messages for consensus proposal overlay traffic. Includes proposals, proposals_untrusted, and proposals_duplicate categories (TrafficCount.h). High untrusted or duplicate counts may indicate UNL misconfiguration or network spam.",
+      "type": "timeseries",
+      "gridPos": {
+        "h": 8,
+        "w": 12,
+        "x": 12,
+        "y": 16
+      },
+      "options": {
+        "tooltip": {
+          "mode": "multi",
+          "sort": "desc"
+        }
+      },
+      "targets": [
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_proposals_Messages_In{exported_instance=~\"$node\"}",
+          "legendFormat": "Proposals In [{{exported_instance}}]"
+        },
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_proposals_Messages_Out{exported_instance=~\"$node\"}",
+          "legendFormat": "Proposals Out [{{exported_instance}}]"
+        },
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_proposals_untrusted_Messages_In{exported_instance=~\"$node\"}",
+          "legendFormat": "Untrusted In [{{exported_instance}}]"
+        },
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_proposals_duplicate_Messages_In{exported_instance=~\"$node\"}",
+          "legendFormat": "Duplicate In [{{exported_instance}}]"
+        }
+      ],
+      "fieldConfig": {
+        "defaults": {
+          "unit": "none",
+          "custom": {
+            "axisLabel": "Messages",
+            "spanNulls": true,
+            "insertNulls": false,
+            "showPoints": "auto",
+            "pointSize": 3
+          }
+        },
+        "overrides": []
+      }
+    },
+    {
+      "title": "Validation Traffic",
+      "description": "Messages for validation overlay traffic. Includes validations, validations_untrusted, and validations_duplicate categories (TrafficCount.h). Monitoring trusted vs untrusted validation traffic helps detect UNL health issues.",
+      "type": "timeseries",
+      "gridPos": {
+        "h": 8,
+        "w": 12,
+        "x": 0,
+        "y": 24
+      },
+      "options": {
+        "tooltip": {
+          "mode": "multi",
+          "sort": "desc"
+        }
+      },
+      "targets": [
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_validations_Messages_In{exported_instance=~\"$node\"}",
+          "legendFormat": "Validations In [{{exported_instance}}]"
+        },
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_validations_Messages_Out{exported_instance=~\"$node\"}",
+          "legendFormat": "Validations Out [{{exported_instance}}]"
+        },
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_validations_untrusted_Messages_In{exported_instance=~\"$node\"}",
+          "legendFormat": "Untrusted In [{{exported_instance}}]"
+        },
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_validations_duplicate_Messages_In{exported_instance=~\"$node\"}",
+          "legendFormat": "Duplicate In [{{exported_instance}}]"
+        }
+      ],
+      "fieldConfig": {
+        "defaults": {
+          "unit": "none",
+          "custom": {
+            "axisLabel": "Messages",
+            "spanNulls": true,
+            "insertNulls": false,
+            "showPoints": "auto",
+            "pointSize": 3
+          }
+        },
+        "overrides": []
+      }
+    },
+    {
+      "title": "Overlay Traffic by Category (Bytes In)",
+      "description": "Top traffic categories by inbound bytes. Includes all 57 overlay traffic categories from TrafficCount.h. Shows which protocol message types consume the most bandwidth. Categories include transactions, proposals, validations, ledger data, getobject, and overlay overhead.",
+      "type": "bargauge",
+      "gridPos": {
+        "h": 8,
+        "w": 12,
+        "x": 12,
+        "y": 24
+      },
+      "options": {
+        "tooltip": {
+          "mode": "multi",
+          "sort": "desc"
+        }
+      },
+      "targets": [
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "topk(10, {exported_instance=~\"$node\", __name__=~\"rippled_.*_Bytes_In\", __name__!~\"rippled_total_.*\"})",
+          "legendFormat": "{{__name__}} [{{exported_instance}}]"
+        }
+      ],
+      "fieldConfig": {
+        "defaults": {
+          "unit": "decbytes"
+        },
+        "overrides": [
+          {
+            "matcher": {
+              "id": "byName",
+              "options": "rippled_transactions_Bytes_In"
+            },
+            "properties": [
+              {
+                "id": "displayName",
+                "value": "Transactions"
+              }
+            ]
+          },
+          {
+            "matcher": {
+              "id": "byName",
+              "options": "rippled_proposals_Bytes_In"
+            },
+            "properties": [
+              {
+                "id": "displayName",
+                "value": "Proposals"
+              }
+            ]
+          },
+          {
+            "matcher": {
+              "id": "byName",
+              "options": "rippled_validations_Bytes_In"
+            },
+            "properties": [
+              {
+                "id": "displayName",
+                "value": "Validations"
+              }
+            ]
+          },
+          {
+            "matcher": {
+              "id": "byName",
+              "options": "rippled_overhead_Bytes_In"
+            },
+            "properties": [
+              {
+                "id": "displayName",
+                "value": "Overhead"
+              }
+            ]
+          },
+          {
+            "matcher": {
+              "id": "byName",
+              "options": "rippled_overhead_overlay_Bytes_In"
+            },
+            "properties": [
+              {
+                "id": "displayName",
+                "value": "Overhead Overlay"
+              }
+            ]
+          },
+          {
+            "matcher": {
+              "id": "byName",
+              "options": "rippled_ping_Bytes_In"
+            },
+            "properties": [
+              {
+                "id": "displayName",
+                "value": "Ping"
+              }
+            ]
+          },
+          {
+            "matcher": {
+              "id": "byName",
+              "options": "rippled_status_Bytes_In"
+            },
+            "properties": [
+              {
+                "id": "displayName",
+                "value": "Status"
+              }
+            ]
+          },
+          {
+            "matcher": {
+              "id": "byName",
+              "options": "rippled_getObject_Bytes_In"
+            },
+            "properties": [
+              {
+                "id": "displayName",
+                "value": "Get Object"
+              }
+            ]
+          },
+          {
+            "matcher": {
+              "id": "byName",
+              "options": "rippled_haveTxSet_Bytes_In"
+            },
+            "properties": [
+              {
+                "id": "displayName",
+                "value": "Have Tx Set"
+              }
+            ]
+          },
+          {
+            "matcher": {
+              "id": "byName",
+              "options": "rippled_ledgerData_Bytes_In"
+            },
+            "properties": [
+              {
+                "id": "displayName",
+                "value": "Ledger Data"
+              }
+            ]
+          },
+          {
+            "matcher": {
+              "id": "byName",
+              "options": "rippled_ledger_share_Bytes_In"
+            },
+            "properties": [
+              {
+                "id": "displayName",
+                "value": "Ledger Share"
+              }
+            ]
+          },
+          {
+            "matcher": {
+              "id": "byName",
+              "options": "rippled_ledger_data_get_Bytes_In"
+            },
+            "properties": [
+              {
+                "id": "displayName",
+                "value": "Ledger Data Get"
+              }
+            ]
+          },
+          {
+            "matcher": {
+              "id": "byName",
+              "options": "rippled_ledger_data_share_Bytes_In"
+            },
+            "properties": [
+              {
+                "id": "displayName",
+                "value": "Ledger Data Share"
+              }
+            ]
+          },
+          {
+            "matcher": {
+              "id": "byName",
+              "options": "rippled_ledger_data_Account_State_Node_get_Bytes_In"
+            },
+            "properties": [
+              {
+                "id": "displayName",
+                "value": "Account State Node Get"
+              }
+            ]
+          },
+          {
+            "matcher": {
+              "id": "byName",
+              "options": "rippled_ledger_data_Account_State_Node_share_Bytes_In"
+            },
+            "properties": [
+              {
+                "id": "displayName",
+                "value": "Account State Node Share"
+              }
+            ]
+          },
+          {
+            "matcher": {
+              "id": "byName",
+              "options": "rippled_ledger_data_Transaction_Node_get_Bytes_In"
+            },
+            "properties": [
+              {
+                "id": "displayName",
+                "value": "Transaction Node Get"
+              }
+            ]
+          },
+          {
+            "matcher": {
+              "id": "byName",
+              "options": "rippled_ledger_data_Transaction_Node_share_Bytes_In"
+            },
+            "properties": [
+              {
+                "id": "displayName",
+                "value": "Transaction Node Share"
+              }
+            ]
+          },
+          {
+            "matcher": {
+              "id": "byName",
+              "options": "rippled_ledger_data_Transaction_Set_candidate_get_Bytes_In"
+            },
+            "properties": [
+              {
+                "id": "displayName",
+                "value": "Tx Set Candidate Get"
+              }
+            ]
+          },
+          {
+            "matcher": {
+              "id": "byName",
+              "options": "rippled_ledger_Account_State_node_share_Bytes_In"
+            },
+            "properties": [
+              {
+                "id": "displayName",
+                "value": "Account State Node Share (Legacy)"
+              }
+            ]
+          },
+          {
+            "matcher": {
+              "id": "byName",
+              "options": "rippled_ledger_Transaction_Set_candidate_share_Bytes_In"
+            },
+            "properties": [
+              {
+                "id": "displayName",
+                "value": "Tx Set Candidate Share"
+              }
+            ]
+          },
+          {
+            "matcher": {
+              "id": "byName",
+              "options": "rippled_ledger_Transaction_node_share_Bytes_In"
+            },
+            "properties": [
+              {
+                "id": "displayName",
+                "value": "Transaction Node Share (Legacy)"
+              }
+            ]
+          },
+          {
+            "matcher": {
+              "id": "byName",
+              "options": "rippled_set_get_Bytes_In"
+            },
+            "properties": [
+              {
+                "id": "displayName",
+                "value": "Set Get"
+              }
+            ]
+          }
+        ]
+      }
+    }
+  ],
+  "schemaVersion": 39,
+  "tags": ["rippled", "statsd", "network", "telemetry"],
+  "templating": {
+    "list": [
+      {
+        "name": "node",
+        "label": "Node",
+        "description": "Filter by rippled node (service.instance.id)",
+        "type": "query",
+        "query": "label_values(rippled_Peer_Finder_Active_Inbound_Peers, exported_instance)",
+        "datasource": {
+          "type": "prometheus",
+          "uid": "prometheus"
+        },
+        "includeAll": true,
+        "allValue": ".*",
+        "current": {
+          "text": "All",
+          "value": "$__all"
+        },
+        "multi": true,
+        "refresh": 2,
+        "sort": 1
+      }
+    ]
+  },
+  "time": {
+    "from": "now-1h",
+    "to": "now"
+  },
+  "title": "Network Traffic (System Metrics)",
+  "uid": "rippled-system-network"
+}
--- a/docker/telemetry/grafana/dashboards/system-node-health.json
+++ b/docker/telemetry/grafana/dashboards/system-node-health.json
@@ -0,0 +1,436 @@
+{
+  "annotations": {
+    "list": []
+  },
+  "description": "Node health metrics from beast::insight System Metrics. Requires [insight] server=otel in rippled config.",
+  "editable": true,
+  "fiscalYearStartMonth": 0,
+  "graphTooltip": 1,
+  "id": null,
+  "links": [],
+  "panels": [
+    {
+      "title": "Validated Ledger Age",
+      "description": "Age of the most recently validated ledger in seconds. Sourced from the LedgerMaster.Validated_Ledger_Age gauge (LedgerMaster.h:373) which is updated every collection interval via the insight hook. Values above 20s indicate the node is falling behind the network.",
+      "type": "stat",
+      "gridPos": {
+        "h": 8,
+        "w": 12,
+        "x": 0,
+        "y": 0
+      },
+      "options": {
+        "tooltip": {
+          "mode": "multi",
+          "sort": "desc"
+        }
+      },
+      "targets": [
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_LedgerMaster_Validated_Ledger_Age{exported_instance=~\"$node\"}",
+          "legendFormat": "Validated Age [{{exported_instance}}]"
+        }
+      ],
+      "fieldConfig": {
+        "defaults": {
+          "unit": "s",
+          "thresholds": {
+            "steps": [
+              {
+                "color": "green",
+                "value": null
+              },
+              {
+                "color": "yellow",
+                "value": 10
+              },
+              {
+                "color": "red",
+                "value": 20
+              }
+            ]
+          }
+        },
+        "overrides": []
+      }
+    },
+    {
+      "title": "Published Ledger Age",
+      "description": "Age of the most recently published ledger in seconds. Sourced from the LedgerMaster.Published_Ledger_Age gauge (LedgerMaster.h:374). Published ledger age should track close to validated ledger age. A growing gap indicates publish pipeline backlog.",
+      "type": "stat",
+      "gridPos": {
+        "h": 8,
+        "w": 12,
+        "x": 12,
+        "y": 0
+      },
+      "options": {
+        "tooltip": {
+          "mode": "multi",
+          "sort": "desc"
+        }
+      },
+      "targets": [
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_LedgerMaster_Published_Ledger_Age{exported_instance=~\"$node\"}",
+          "legendFormat": "Published Age [{{exported_instance}}]"
+        }
+      ],
+      "fieldConfig": {
+        "defaults": {
+          "unit": "s",
+          "thresholds": {
+            "steps": [
+              {
+                "color": "green",
+                "value": null
+              },
+              {
+                "color": "yellow",
+                "value": 10
+              },
+              {
+                "color": "red",
+                "value": 20
+              }
+            ]
+          }
+        },
+        "overrides": []
+      }
+    },
+    {
+      "title": "Operating Mode Duration",
+      "description": "Cumulative time spent in each operating mode (Disconnected, Connected, Syncing, Tracking, Full). Sourced from State_Accounting.*_duration gauges (NetworkOPs.cpp:774-778) which report microseconds. A healthy node should spend the vast majority of time in Full mode.",
+      "type": "timeseries",
+      "gridPos": {
+        "h": 8,
+        "w": 12,
+        "x": 0,
+        "y": 8
+      },
+      "options": {
+        "tooltip": {
+          "mode": "multi",
+          "sort": "desc"
+        }
+      },
+      "targets": [
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_State_Accounting_Full_duration{exported_instance=~\"$node\"}",
+          "legendFormat": "Full [{{exported_instance}}]"
+        },
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_State_Accounting_Tracking_duration{exported_instance=~\"$node\"}",
+          "legendFormat": "Tracking [{{exported_instance}}]"
+        },
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_State_Accounting_Syncing_duration{exported_instance=~\"$node\"}",
+          "legendFormat": "Syncing [{{exported_instance}}]"
+        },
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_State_Accounting_Connected_duration{exported_instance=~\"$node\"}",
+          "legendFormat": "Connected [{{exported_instance}}]"
+        },
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_State_Accounting_Disconnected_duration{exported_instance=~\"$node\"}",
+          "legendFormat": "Disconnected [{{exported_instance}}]"
+        }
+      ],
+      "fieldConfig": {
+        "defaults": {
+          "unit": "µs",
+          "custom": {
+            "axisLabel": "Duration",
+            "spanNulls": true,
+            "insertNulls": false,
+            "showPoints": "auto",
+            "pointSize": 3
+          }
+        },
+        "overrides": []
+      }
+    },
+    {
+      "title": "Operating Mode Transitions",
+      "description": "Count of transitions into each operating mode. Sourced from State_Accounting.*_transitions gauges (NetworkOPs.cpp:780-786). Frequent transitions out of Full mode indicate instability. Transitions to Disconnected or Syncing warrant investigation.",
+      "type": "timeseries",
+      "gridPos": {
+        "h": 8,
+        "w": 12,
+        "x": 12,
+        "y": 8
+      },
+      "options": {
+        "tooltip": {
+          "mode": "multi",
+          "sort": "desc"
+        }
+      },
+      "targets": [
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_State_Accounting_Full_transitions{exported_instance=~\"$node\"}",
+          "legendFormat": "Full [{{exported_instance}}]"
+        },
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_State_Accounting_Tracking_transitions{exported_instance=~\"$node\"}",
+          "legendFormat": "Tracking [{{exported_instance}}]"
+        },
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_State_Accounting_Syncing_transitions{exported_instance=~\"$node\"}",
+          "legendFormat": "Syncing [{{exported_instance}}]"
+        },
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_State_Accounting_Connected_transitions{exported_instance=~\"$node\"}",
+          "legendFormat": "Connected [{{exported_instance}}]"
+        },
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_State_Accounting_Disconnected_transitions{exported_instance=~\"$node\"}",
+          "legendFormat": "Disconnected [{{exported_instance}}]"
+        }
+      ],
+      "fieldConfig": {
+        "defaults": {
+          "unit": "none",
+          "custom": {
+            "axisLabel": "Transitions",
+            "spanNulls": true,
+            "insertNulls": false,
+            "showPoints": "auto",
+            "pointSize": 3
+          }
+        },
+        "overrides": []
+      }
+    },
+    {
+      "title": "I/O Latency",
+      "description": "P95 and P50 of the I/O service loop latency in milliseconds. Sourced from the ios_latency event (Application.cpp:438) which measures how long it takes for the io_context to process a timer callback. Values above 10ms are logged; above 500ms trigger warnings. High values indicate thread pool saturation or blocking operations.",
+      "type": "timeseries",
+      "gridPos": {
+        "h": 8,
+        "w": 12,
+        "x": 0,
+        "y": 16
+      },
+      "options": {
+        "tooltip": {
+          "mode": "multi",
+          "sort": "desc"
+        }
+      },
+      "targets": [
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "histogram_quantile(0.95, sum by (le, exported_instance) (rate(rippled_ios_latency_bucket{exported_instance=~\"$node\"}[5m])))",
+          "legendFormat": "P95 I/O Latency [{{exported_instance}}]"
+        },
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "histogram_quantile(0.50, sum by (le, exported_instance) (rate(rippled_ios_latency_bucket{exported_instance=~\"$node\"}[5m])))",
+          "legendFormat": "P50 I/O Latency [{{exported_instance}}]"
+        }
+      ],
+      "fieldConfig": {
+        "defaults": {
+          "unit": "ms",
+          "custom": {
+            "axisLabel": "Latency (ms)",
+            "spanNulls": true,
+            "insertNulls": false,
+            "showPoints": "auto",
+            "pointSize": 3
+          }
+        },
+        "overrides": []
+      }
+    },
+    {
+      "title": "Job Queue Depth",
+      "description": "Current number of jobs waiting in the job queue. Sourced from the job_count gauge (JobQueue.cpp:26). A sustained high value indicates the node cannot process work fast enough — common during ledger replay or heavy RPC load.",
+      "type": "timeseries",
+      "gridPos": {
+        "h": 8,
+        "w": 12,
+        "x": 12,
+        "y": 16
+      },
+      "options": {
+        "tooltip": {
+          "mode": "multi",
+          "sort": "desc"
+        }
+      },
+      "targets": [
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_job_count{exported_instance=~\"$node\"}",
+          "legendFormat": "Job Queue Depth [{{exported_instance}}]"
+        }
+      ],
+      "fieldConfig": {
+        "defaults": {
+          "unit": "none",
+          "custom": {
+            "axisLabel": "Jobs",
+            "spanNulls": true,
+            "insertNulls": false,
+            "showPoints": "auto",
+            "pointSize": 3
+          }
+        },
+        "overrides": []
+      }
+    },
+    {
+      "title": "Ledger Fetch Rate",
+      "description": "Rate of ledger fetch requests initiated by the node. Sourced from the ledger_fetches counter (InboundLedgers.cpp:44) which increments each time the node requests a ledger from a peer. High rates indicate the node is catching up or missing ledgers.",
+      "type": "stat",
+      "gridPos": {
+        "h": 8,
+        "w": 12,
+        "x": 0,
+        "y": 24
+      },
+      "options": {
+        "tooltip": {
+          "mode": "multi",
+          "sort": "desc"
+        }
+      },
+      "targets": [
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rate(rippled_ledger_fetches_total{exported_instance=~\"$node\"}[5m])",
+          "legendFormat": "Fetches / Sec [{{exported_instance}}]"
+        }
+      ],
+      "fieldConfig": {
+        "defaults": {
+          "unit": "ops"
+        },
+        "overrides": []
+      }
+    },
+    {
+      "title": "Ledger History Mismatches",
+      "description": "Rate of ledger history hash mismatches. Sourced from the ledger.history.mismatch counter (LedgerHistory.cpp:16) which increments when a built ledger hash does not match the expected validated hash. Non-zero values indicate consensus divergence or database corruption.",
+      "type": "stat",
+      "gridPos": {
+        "h": 8,
+        "w": 12,
+        "x": 12,
+        "y": 24
+      },
+      "options": {
+        "tooltip": {
+          "mode": "multi",
+          "sort": "desc"
+        }
+      },
+      "targets": [
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rate(rippled_ledger_history_mismatch_total{exported_instance=~\"$node\"}[5m])",
+          "legendFormat": "Mismatches / Sec [{{exported_instance}}]"
+        }
+      ],
+      "fieldConfig": {
+        "defaults": {
+          "unit": "ops",
+          "thresholds": {
+            "steps": [
+              {
+                "color": "green",
+                "value": null
+              },
+              {
+                "color": "red",
+                "value": 0.01
+              }
+            ]
+          }
+        },
+        "overrides": []
+      }
+    }
+  ],
+  "schemaVersion": 39,
+  "tags": ["rippled", "statsd", "node-health", "telemetry"],
+  "templating": {
+    "list": [
+      {
+        "name": "node",
+        "label": "Node",
+        "description": "Filter by rippled node (service.instance.id)",
+        "type": "query",
+        "query": "label_values(rippled_LedgerMaster_Validated_Ledger_Age, exported_instance)",
+        "datasource": {
+          "type": "prometheus",
+          "uid": "prometheus"
+        },
+        "includeAll": true,
+        "allValue": ".*",
+        "current": {
+          "text": "All",
+          "value": "$__all"
+        },
+        "multi": true,
+        "refresh": 2,
+        "sort": 1
+      }
+    ]
+  },
+  "time": {
+    "from": "now-1h",
+    "to": "now"
+  },
+  "title": "Node Health (System Metrics)",
+  "uid": "rippled-system-node-health"
+}
--- a/docker/telemetry/grafana/dashboards/system-overlay-traffic-detail.json
+++ b/docker/telemetry/grafana/dashboards/system-overlay-traffic-detail.json
@@ -0,0 +1,587 @@
+{
+  "annotations": {
+    "list": []
+  },
+  "description": "Detailed overlay traffic breakdown for categories not covered by the main Network Traffic dashboard. Includes squelch, overhead, validator lists, object fetch, ledger sync, and protocol negotiation traffic. Requires [insight] server=otel in rippled config.",
+  "editable": true,
+  "fiscalYearStartMonth": 0,
+  "graphTooltip": 1,
+  "id": null,
+  "links": [],
+  "panels": [
+    {
+      "title": "Squelch Traffic (Messages)",
+      "description": "Squelch-related overlay messages. Squelch is the peer traffic management protocol that suppresses redundant message forwarding. 'squelch' = squelch control messages, 'squelch_suppressed' = messages suppressed by squelch, 'squelch_ignored' = squelch directives that were ignored. High suppressed counts indicate effective bandwidth savings; high ignored counts may indicate misconfigured peers. Sourced from TrafficCount.h squelch categories.",
+      "type": "timeseries",
+      "gridPos": {
+        "h": 8,
+        "w": 12,
+        "x": 0,
+        "y": 0
+      },
+      "options": {
+        "tooltip": {
+          "mode": "multi",
+          "sort": "desc"
+        }
+      },
+      "targets": [
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_squelch_Messages_In{exported_instance=~\"$node\"}",
+          "legendFormat": "Squelch In [{{exported_instance}}]"
+        },
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_squelch_Messages_Out{exported_instance=~\"$node\"}",
+          "legendFormat": "Squelch Out [{{exported_instance}}]"
+        },
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_squelch_suppressed_Messages_In{exported_instance=~\"$node\"}",
+          "legendFormat": "Suppressed In [{{exported_instance}}]"
+        },
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_squelch_suppressed_Messages_Out{exported_instance=~\"$node\"}",
+          "legendFormat": "Suppressed Out [{{exported_instance}}]"
+        },
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_squelch_ignored_Messages_In{exported_instance=~\"$node\"}",
+          "legendFormat": "Ignored In [{{exported_instance}}]"
+        },
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_squelch_ignored_Messages_Out{exported_instance=~\"$node\"}",
+          "legendFormat": "Ignored Out [{{exported_instance}}]"
+        }
+      ],
+      "fieldConfig": {
+        "defaults": {
+          "unit": "none",
+          "custom": {
+            "axisLabel": "Messages",
+            "spanNulls": true,
+            "insertNulls": false,
+            "showPoints": "auto",
+            "pointSize": 3
+          }
+        },
+        "overrides": []
+      }
+    },
+    {
+      "title": "Overhead Traffic Breakdown (Bytes)",
+      "description": "Overlay protocol overhead by sub-category. 'overhead' = base protocol overhead (ping, status, etc.), 'overhead_cluster' = intra-cluster communication overhead, 'overhead_manifest' = validator manifest distribution overhead. High cluster overhead may indicate frequent cluster state syncs; high manifest overhead occurs during UNL changes. Sourced from TrafficCount.h overhead categories.",
+      "type": "timeseries",
+      "gridPos": {
+        "h": 8,
+        "w": 12,
+        "x": 12,
+        "y": 0
+      },
+      "options": {
+        "tooltip": {
+          "mode": "multi",
+          "sort": "desc"
+        }
+      },
+      "targets": [
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_overhead_Bytes_In{exported_instance=~\"$node\"}",
+          "legendFormat": "Base Overhead In [{{exported_instance}}]"
+        },
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_overhead_Bytes_Out{exported_instance=~\"$node\"}",
+          "legendFormat": "Base Overhead Out [{{exported_instance}}]"
+        },
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_overhead_cluster_Bytes_In{exported_instance=~\"$node\"}",
+          "legendFormat": "Cluster In [{{exported_instance}}]"
+        },
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_overhead_cluster_Bytes_Out{exported_instance=~\"$node\"}",
+          "legendFormat": "Cluster Out [{{exported_instance}}]"
+        },
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_overhead_manifest_Bytes_In{exported_instance=~\"$node\"}",
+          "legendFormat": "Manifest In [{{exported_instance}}]"
+        },
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_overhead_manifest_Bytes_Out{exported_instance=~\"$node\"}",
+          "legendFormat": "Manifest Out [{{exported_instance}}]"
+        }
+      ],
+      "fieldConfig": {
+        "defaults": {
+          "unit": "decbytes",
+          "custom": {
+            "axisLabel": "Bytes",
+            "spanNulls": true,
+            "insertNulls": false,
+            "showPoints": "auto",
+            "pointSize": 3
+          }
+        },
+        "overrides": []
+      }
+    },
+    {
+      "title": "Validator List Traffic",
+      "description": "Validator list (UNL) distribution traffic. Validator lists are exchanged when peers share their trusted validator configurations. Spikes occur during UNL updates or when new peers connect. Sourced from TrafficCount.h validator_lists category.",
+      "type": "timeseries",
+      "gridPos": {
+        "h": 8,
+        "w": 12,
+        "x": 0,
+        "y": 8
+      },
+      "options": {
+        "tooltip": {
+          "mode": "multi",
+          "sort": "desc"
+        }
+      },
+      "targets": [
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_validator_lists_Bytes_In{exported_instance=~\"$node\"}",
+          "legendFormat": "Bytes In [{{exported_instance}}]"
+        },
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_validator_lists_Bytes_Out{exported_instance=~\"$node\"}",
+          "legendFormat": "Bytes Out [{{exported_instance}}]"
+        },
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_validator_lists_Messages_In{exported_instance=~\"$node\"}",
+          "legendFormat": "Messages In [{{exported_instance}}]"
+        },
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_validator_lists_Messages_Out{exported_instance=~\"$node\"}",
+          "legendFormat": "Messages Out [{{exported_instance}}]"
+        }
+      ],
+      "fieldConfig": {
+        "defaults": {
+          "unit": "none",
+          "custom": {
+            "axisLabel": "Count",
+            "spanNulls": true,
+            "insertNulls": false,
+            "showPoints": "auto",
+            "pointSize": 3
+          }
+        },
+        "overrides": [
+          {
+            "matcher": {
+              "id": "byRegexp",
+              "options": "/Bytes/"
+            },
+            "properties": [
+              {
+                "id": "custom.axisPlacement",
+                "value": "right"
+              },
+              {
+                "id": "unit",
+                "value": "decbytes"
+              }
+            ]
+          }
+        ]
+      }
+    },
+    {
+      "title": "Set Get/Share Traffic (Bytes)",
+      "description": "Transaction set get and share traffic. 'set_get' = requests to fetch transaction sets (sent during ledger close), 'set_share' = responses sharing transaction sets. High set_get traffic indicates peers frequently requesting missing transaction sets, which may signal sync delays. Sourced from TrafficCount.h set_get/set_share categories.",
+      "type": "timeseries",
+      "gridPos": {
+        "h": 8,
+        "w": 12,
+        "x": 12,
+        "y": 8
+      },
+      "options": {
+        "tooltip": {
+          "mode": "multi",
+          "sort": "desc"
+        }
+      },
+      "targets": [
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_set_get_Bytes_In{exported_instance=~\"$node\"}",
+          "legendFormat": "Set Get In [{{exported_instance}}]"
+        },
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_set_get_Bytes_Out{exported_instance=~\"$node\"}",
+          "legendFormat": "Set Get Out [{{exported_instance}}]"
+        },
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_set_share_Bytes_In{exported_instance=~\"$node\"}",
+          "legendFormat": "Set Share In [{{exported_instance}}]"
+        },
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_set_share_Bytes_Out{exported_instance=~\"$node\"}",
+          "legendFormat": "Set Share Out [{{exported_instance}}]"
+        }
+      ],
+      "fieldConfig": {
+        "defaults": {
+          "unit": "decbytes",
+          "custom": {
+            "axisLabel": "Bytes",
+            "spanNulls": true,
+            "insertNulls": false,
+            "showPoints": "auto",
+            "pointSize": 3
+          }
+        },
+        "overrides": []
+      }
+    },
+    {
+      "title": "Have/Requested Transactions (Messages)",
+      "description": "Transaction availability protocol messages. 'have_transactions' = advertisements that a peer has specific transactions available, 'requested_transactions' = explicit requests for transaction data. A high ratio of requested to have may indicate peers are behind on transaction propagation. Sourced from TrafficCount.h have_transactions/requested_transactions categories.",
+      "type": "timeseries",
+      "gridPos": {
+        "h": 8,
+        "w": 12,
+        "x": 0,
+        "y": 16
+      },
+      "options": {
+        "tooltip": {
+          "mode": "multi",
+          "sort": "desc"
+        }
+      },
+      "targets": [
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_have_transactions_Messages_In{exported_instance=~\"$node\"}",
+          "legendFormat": "Have TX In [{{exported_instance}}]"
+        },
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_have_transactions_Messages_Out{exported_instance=~\"$node\"}",
+          "legendFormat": "Have TX Out [{{exported_instance}}]"
+        },
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_requested_transactions_Messages_In{exported_instance=~\"$node\"}",
+          "legendFormat": "Requested TX In [{{exported_instance}}]"
+        },
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_requested_transactions_Messages_Out{exported_instance=~\"$node\"}",
+          "legendFormat": "Requested TX Out [{{exported_instance}}]"
+        }
+      ],
+      "fieldConfig": {
+        "defaults": {
+          "unit": "none",
+          "custom": {
+            "axisLabel": "Messages",
+            "spanNulls": true,
+            "insertNulls": false,
+            "showPoints": "auto",
+            "pointSize": 3
+          }
+        },
+        "overrides": []
+      }
+    },
+    {
+      "title": "Unknown / Unclassified Traffic",
+      "description": "Traffic that does not match any known overlay message category. Non-zero values may indicate protocol version mismatches, corrupted messages, or new message types not yet classified. Sourced from TrafficCount.h unknown category.",
+      "type": "timeseries",
+      "gridPos": {
+        "h": 8,
+        "w": 12,
+        "x": 12,
+        "y": 16
+      },
+      "options": {
+        "tooltip": {
+          "mode": "multi",
+          "sort": "desc"
+        }
+      },
+      "targets": [
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_unknown_Bytes_In{exported_instance=~\"$node\"}",
+          "legendFormat": "Unknown Bytes In [{{exported_instance}}]"
+        },
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_unknown_Bytes_Out{exported_instance=~\"$node\"}",
+          "legendFormat": "Unknown Bytes Out [{{exported_instance}}]"
+        },
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_unknown_Messages_In{exported_instance=~\"$node\"}",
+          "legendFormat": "Unknown Messages In [{{exported_instance}}]"
+        },
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_unknown_Messages_Out{exported_instance=~\"$node\"}",
+          "legendFormat": "Unknown Messages Out [{{exported_instance}}]"
+        }
+      ],
+      "fieldConfig": {
+        "defaults": {
+          "unit": "none",
+          "custom": {
+            "axisLabel": "Count",
+            "spanNulls": true,
+            "insertNulls": false,
+            "showPoints": "auto",
+            "pointSize": 3
+          }
+        },
+        "overrides": [
+          {
+            "matcher": {
+              "id": "byRegexp",
+              "options": "/Bytes/"
+            },
+            "properties": [
+              {
+                "id": "custom.axisPlacement",
+                "value": "right"
+              },
+              {
+                "id": "unit",
+                "value": "decbytes"
+              }
+            ]
+          }
+        ]
+      }
+    },
+    {
+      "title": "Proof Path Traffic",
+      "description": "Proof path request/response traffic for ledger state proof exchange. Used by peers to verify specific ledger entries without downloading the full ledger. High request volume may indicate peers validating state during catch-up. Sourced from TrafficCount.h proof_path_request/proof_path_response categories.",
+      "type": "timeseries",
+      "gridPos": {
+        "h": 8,
+        "w": 12,
+        "x": 0,
+        "y": 24
+      },
+      "options": {
+        "tooltip": {
+          "mode": "multi",
+          "sort": "desc"
+        }
+      },
+      "targets": [
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_proof_path_request_Bytes_In{exported_instance=~\"$node\"}",
+          "legendFormat": "Request Bytes In [{{exported_instance}}]"
+        },
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_proof_path_request_Bytes_Out{exported_instance=~\"$node\"}",
+          "legendFormat": "Request Bytes Out [{{exported_instance}}]"
+        },
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_proof_path_response_Bytes_In{exported_instance=~\"$node\"}",
+          "legendFormat": "Response Bytes In [{{exported_instance}}]"
+        },
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_proof_path_response_Bytes_Out{exported_instance=~\"$node\"}",
+          "legendFormat": "Response Bytes Out [{{exported_instance}}]"
+        }
+      ],
+      "fieldConfig": {
+        "defaults": {
+          "unit": "decbytes",
+          "custom": {
+            "axisLabel": "Bytes",
+            "spanNulls": true,
+            "insertNulls": false,
+            "showPoints": "auto",
+            "pointSize": 3
+          }
+        },
+        "overrides": []
+      }
+    },
+    {
+      "title": "Replay Delta Traffic",
+      "description": "Replay delta request/response traffic for ledger replay protocol. Used during catch-up to efficiently replay ledger state changes. Sourced from TrafficCount.h replay_delta_request/replay_delta_response categories.",
+      "type": "timeseries",
+      "gridPos": {
+        "h": 8,
+        "w": 12,
+        "x": 12,
+        "y": 24
+      },
+      "options": {
+        "tooltip": {
+          "mode": "multi",
+          "sort": "desc"
+        }
+      },
+      "targets": [
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_replay_delta_request_Bytes_In{exported_instance=~\"$node\"}",
+          "legendFormat": "Request Bytes In [{{exported_instance}}]"
+        },
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_replay_delta_request_Bytes_Out{exported_instance=~\"$node\"}",
+          "legendFormat": "Request Bytes Out [{{exported_instance}}]"
+        },
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_replay_delta_response_Bytes_In{exported_instance=~\"$node\"}",
+          "legendFormat": "Response Bytes In [{{exported_instance}}]"
+        },
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rippled_replay_delta_response_Bytes_Out{exported_instance=~\"$node\"}",
+          "legendFormat": "Response Bytes Out [{{exported_instance}}]"
+        }
+      ],
+      "fieldConfig": {
+        "defaults": {
+          "unit": "decbytes",
+          "custom": {
+            "axisLabel": "Bytes",
+            "spanNulls": true,
+            "insertNulls": false,
+            "showPoints": "auto",
+            "pointSize": 3
+          }
+        },
+        "overrides": []
+      }
+    }
+  ],
+  "schemaVersion": 39,
+  "tags": ["rippled", "statsd", "overlay", "network", "telemetry"],
+  "templating": {
+    "list": [
+      {
+        "name": "node",
+        "label": "Node",
+        "description": "Filter by rippled node (service.instance.id)",
+        "type": "query",
+        "query": "label_values(rippled_squelch_Messages_In, exported_instance)",
+        "datasource": {
+          "type": "prometheus",
+          "uid": "prometheus"
+        },
+        "includeAll": true,
+        "allValue": ".*",
+        "current": {
+          "text": "All",
+          "value": "$__all"
+        },
+        "multi": true,
+        "refresh": 2,
+        "sort": 1
+      }
+    ]
+  },
+  "time": {
+    "from": "now-1h",
+    "to": "now"
+  },
+  "title": "Overlay Traffic Detail (System Metrics)",
+  "uid": "rippled-system-overlay-detail"
+}
--- a/docker/telemetry/grafana/dashboards/system-rpc-pathfinding.json
+++ b/docker/telemetry/grafana/dashboards/system-rpc-pathfinding.json
@@ -0,0 +1,417 @@
+{
+  "annotations": {
+    "list": []
+  },
+  "description": "RPC and pathfinding metrics from beast::insight System Metrics. Requires [insight] server=otel in rippled config.",
+  "editable": true,
+  "fiscalYearStartMonth": 0,
+  "graphTooltip": 1,
+  "id": null,
+  "links": [],
+  "panels": [
+    {
+      "title": "RPC Request Rate (System Metrics)",
+      "description": "Rate of RPC requests as counted by the beast::insight counter. Sourced from rpc.requests (ServerHandler.cpp:108) which increments on every HTTP and WebSocket RPC request. Compare with the span-based rpc.request rate in the RPC Performance dashboard for cross-validation.",
+      "type": "stat",
+      "gridPos": {
+        "h": 8,
+        "w": 12,
+        "x": 0,
+        "y": 0
+      },
+      "options": {
+        "tooltip": {
+          "mode": "multi",
+          "sort": "desc"
+        }
+      },
+      "targets": [
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rate(rippled_rpc_requests_total{exported_instance=~\"$node\"}[5m])",
+          "legendFormat": "Requests / Sec [{{exported_instance}}]"
+        }
+      ],
+      "fieldConfig": {
+        "defaults": {
+          "unit": "reqps"
+        },
+        "overrides": []
+      }
+    },
+    {
+      "title": "RPC Response Time (System Metrics)",
+      "description": "P95 and P50 of RPC response time from the beast::insight timer. Sourced from the rpc.time event (ServerHandler.cpp:110) which records elapsed milliseconds for each RPC response. This measures the full HTTP handler time, not just command execution. Compare with span-based rpc.request duration.",
+      "type": "timeseries",
+      "gridPos": {
+        "h": 8,
+        "w": 12,
+        "x": 12,
+        "y": 0
+      },
+      "options": {
+        "tooltip": {
+          "mode": "multi",
+          "sort": "desc"
+        }
+      },
+      "targets": [
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "histogram_quantile(0.95, sum by (le, exported_instance) (rate(rippled_rpc_time_bucket{exported_instance=~\"$node\"}[5m])))",
+          "legendFormat": "P95 Response Time [{{exported_instance}}]"
+        },
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "histogram_quantile(0.5, sum by (le, exported_instance) (rate(rippled_rpc_time_bucket{exported_instance=~\"$node\"}[5m])))",
+          "legendFormat": "P50 Response Time [{{exported_instance}}]"
+        }
+      ],
+      "fieldConfig": {
+        "defaults": {
+          "unit": "ms",
+          "custom": {
+            "axisLabel": "Latency (ms)",
+            "spanNulls": true,
+            "insertNulls": false,
+            "showPoints": "auto",
+            "pointSize": 3
+          }
+        },
+        "overrides": []
+      }
+    },
+    {
+      "title": "RPC Response Size",
+      "description": "P95 and P50 of RPC response payload size in bytes. Sourced from the rpc.size event (ServerHandler.cpp:109) which records the byte length of each RPC JSON response. Large responses may indicate expensive queries (e.g. account_tx with many results) or API misuse.",
+      "type": "timeseries",
+      "gridPos": {
+        "h": 8,
+        "w": 12,
+        "x": 0,
+        "y": 8
+      },
+      "options": {
+        "tooltip": {
+          "mode": "multi",
+          "sort": "desc"
+        }
+      },
+      "targets": [
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "histogram_quantile(0.95, sum by (le, exported_instance) (rate(rippled_rpc_size_bucket{exported_instance=~\"$node\"}[5m])))",
+          "legendFormat": "P95 Response Size [{{exported_instance}}]"
+        },
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "histogram_quantile(0.5, sum by (le, exported_instance) (rate(rippled_rpc_size_bucket{exported_instance=~\"$node\"}[5m])))",
+          "legendFormat": "P50 Response Size [{{exported_instance}}]"
+        }
+      ],
+      "fieldConfig": {
+        "defaults": {
+          "unit": "decbytes",
+          "custom": {
+            "axisLabel": "Size (Bytes)",
+            "spanNulls": true,
+            "insertNulls": false,
+            "showPoints": "auto",
+            "pointSize": 3
+          }
+        },
+        "overrides": []
+      }
+    },
+    {
+      "title": "RPC Response Time Distribution",
+      "description": "Distribution of RPC response times from the beast::insight timer showing P50, P90, P95, and P99 quantiles. Sourced from the rpc.time event (ServerHandler.cpp:110). Useful for detecting bimodal latency or long-tail requests.",
+      "type": "timeseries",
+      "gridPos": {
+        "h": 8,
+        "w": 12,
+        "x": 12,
+        "y": 8
+      },
+      "options": {
+        "tooltip": {
+          "mode": "multi",
+          "sort": "desc"
+        }
+      },
+      "targets": [
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "histogram_quantile(0.5, sum by (le, exported_instance) (rate(rippled_rpc_time_bucket{exported_instance=~\"$node\"}[5m])))",
+          "legendFormat": "P50 [{{exported_instance}}]"
+        },
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "histogram_quantile(0.9, sum by (le, exported_instance) (rate(rippled_rpc_time_bucket{exported_instance=~\"$node\"}[5m])))",
+          "legendFormat": "P90 [{{exported_instance}}]"
+        },
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "histogram_quantile(0.95, sum by (le, exported_instance) (rate(rippled_rpc_time_bucket{exported_instance=~\"$node\"}[5m])))",
+          "legendFormat": "P95 [{{exported_instance}}]"
+        },
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "histogram_quantile(0.99, sum by (le, exported_instance) (rate(rippled_rpc_time_bucket{exported_instance=~\"$node\"}[5m])))",
+          "legendFormat": "P99 [{{exported_instance}}]"
+        }
+      ],
+      "fieldConfig": {
+        "defaults": {
+          "unit": "ms",
+          "custom": {
+            "axisLabel": "Latency (ms)",
+            "spanNulls": true,
+            "insertNulls": false,
+            "showPoints": "auto",
+            "pointSize": 3
+          }
+        },
+        "overrides": []
+      }
+    },
+    {
+      "title": "Pathfinding Fast Duration",
+      "description": "P95 and P50 of fast pathfinding execution time. Sourced from the pathfind_fast event (PathRequests.h:23) which records the duration of the fast pathfinding algorithm. Fast pathfinding uses a simplified search that trades accuracy for speed.",
+      "type": "timeseries",
+      "gridPos": {
+        "h": 8,
+        "w": 12,
+        "x": 0,
+        "y": 16
+      },
+      "options": {
+        "tooltip": {
+          "mode": "multi",
+          "sort": "desc"
+        }
+      },
+      "targets": [
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "histogram_quantile(0.95, sum by (le, exported_instance) (rate(rippled_pathfind_fast_bucket{exported_instance=~\"$node\"}[5m])))",
+          "legendFormat": "P95 Fast Pathfind [{{exported_instance}}]"
+        },
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "histogram_quantile(0.5, sum by (le, exported_instance) (rate(rippled_pathfind_fast_bucket{exported_instance=~\"$node\"}[5m])))",
+          "legendFormat": "P50 Fast Pathfind [{{exported_instance}}]"
+        }
+      ],
+      "fieldConfig": {
+        "defaults": {
+          "unit": "ms",
+          "custom": {
+            "axisLabel": "Duration (ms)",
+            "spanNulls": true,
+            "insertNulls": false,
+            "showPoints": "auto",
+            "pointSize": 3
+          }
+        },
+        "overrides": []
+      }
+    },
+    {
+      "title": "Pathfinding Full Duration",
+      "description": "P95 and P50 of full pathfinding execution time. Sourced from the pathfind_full event (PathRequests.h:24) which records the duration of the exhaustive pathfinding search. Full pathfinding is more expensive and can take significantly longer than fast mode.",
+      "type": "timeseries",
+      "gridPos": {
+        "h": 8,
+        "w": 12,
+        "x": 12,
+        "y": 16
+      },
+      "options": {
+        "tooltip": {
+          "mode": "multi",
+          "sort": "desc"
+        }
+      },
+      "targets": [
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "histogram_quantile(0.95, sum by (le, exported_instance) (rate(rippled_pathfind_full_bucket{exported_instance=~\"$node\"}[5m])))",
+          "legendFormat": "P95 Full Pathfind [{{exported_instance}}]"
+        },
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "histogram_quantile(0.5, sum by (le, exported_instance) (rate(rippled_pathfind_full_bucket{exported_instance=~\"$node\"}[5m])))",
+          "legendFormat": "P50 Full Pathfind [{{exported_instance}}]"
+        }
+      ],
+      "fieldConfig": {
+        "defaults": {
+          "unit": "ms",
+          "custom": {
+            "axisLabel": "Duration (ms)",
+            "spanNulls": true,
+            "insertNulls": false,
+            "showPoints": "auto",
+            "pointSize": 3
+          }
+        },
+        "overrides": []
+      }
+    },
+    {
+      "title": "Resource Warnings Rate",
+      "description": "Rate of resource warning events from the Resource Manager. Sourced from the warn meter (Logic.h:33) which increments when a consumer (peer or RPC client) exceeds the warning threshold for resource usage. A rising rate indicates aggressive clients that may need throttling. NOTE: This panel will show no data until the |m -> |c fix is applied in System MetricsCollector.cpp:706 (Phase 6 Task 6.1).",
+      "type": "stat",
+      "gridPos": {
+        "h": 8,
+        "w": 12,
+        "x": 0,
+        "y": 24
+      },
+      "options": {
+        "tooltip": {
+          "mode": "multi",
+          "sort": "desc"
+        }
+      },
+      "targets": [
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rate(rippled_warn_total{exported_instance=~\"$node\"}[5m])",
+          "legendFormat": "Warnings / Sec [{{exported_instance}}]"
+        }
+      ],
+      "fieldConfig": {
+        "defaults": {
+          "unit": "ops",
+          "thresholds": {
+            "steps": [
+              {
+                "color": "green",
+                "value": null
+              },
+              {
+                "color": "yellow",
+                "value": 0.1
+              },
+              {
+                "color": "red",
+                "value": 1
+              }
+            ]
+          }
+        },
+        "overrides": []
+      }
+    },
+    {
+      "title": "Resource Drops Rate",
+      "description": "Rate of resource drop events from the Resource Manager. Sourced from the drop meter (Logic.h:34) which increments when a consumer is disconnected or blocked due to excessive resource usage. Non-zero values mean the node is actively rejecting abusive connections. NOTE: This panel will show no data until the |m -> |c fix is applied in System MetricsCollector.cpp:706 (Phase 6 Task 6.1).",
+      "type": "stat",
+      "gridPos": {
+        "h": 8,
+        "w": 12,
+        "x": 12,
+        "y": 24
+      },
+      "options": {
+        "tooltip": {
+          "mode": "multi",
+          "sort": "desc"
+        }
+      },
+      "targets": [
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "rate(rippled_drop_total{exported_instance=~\"$node\"}[5m])",
+          "legendFormat": "Drops / Sec [{{exported_instance}}]"
+        }
+      ],
+      "fieldConfig": {
+        "defaults": {
+          "unit": "ops",
+          "thresholds": {
+            "steps": [
+              {
+                "color": "green",
+                "value": null
+              },
+              {
+                "color": "yellow",
+                "value": 0.01
+              },
+              {
+                "color": "red",
+                "value": 0.1
+              }
+            ]
+          }
+        },
+        "overrides": []
+      }
+    }
+  ],
+  "schemaVersion": 39,
+  "tags": ["rippled", "statsd", "rpc", "pathfinding", "telemetry"],
+  "templating": {
+    "list": [
+      {
+        "name": "node",
+        "label": "Node",
+        "description": "Filter by rippled node (service.instance.id)",
+        "type": "query",
+        "query": "label_values(rippled_rpc_requests_total, exported_instance)",
+        "datasource": {
+          "type": "prometheus",
+          "uid": "prometheus"
+        },
+        "includeAll": true,
+        "allValue": ".*",
+        "current": {
+          "text": "All",
+          "value": "$__all"
+        },
+        "multi": true,
+        "refresh": 2,
+        "sort": 1
+      }
+    ]
+  },
+  "time": {
+    "from": "now-1h",
+    "to": "now"
+  },
+  "title": "RPC & Pathfinding (System Metrics)",
+  "uid": "rippled-system-rpc"
+}
--- a/docker/telemetry/grafana/dashboards/transaction-overview.json
+++ b/docker/telemetry/grafana/dashboards/transaction-overview.json
@@ -0,0 +1,384 @@
+{
+  "annotations": {
+    "list": []
+  },
+  "editable": true,
+  "fiscalYearStartMonth": 0,
+  "graphTooltip": 1,
+  "id": null,
+  "links": [],
+  "panels": [
+    {
+      "title": "Transaction Processing Rate",
+      "description": "Rate of transactions entering the processing pipeline. tx.process (NetworkOPs.cpp:1227) fires when a transaction is submitted locally or received from a peer and enters processTransaction(). tx.receive (PeerImp.cpp:1273) fires when a raw transaction message arrives from a peer before deduplication.",
+      "type": "timeseries",
+      "gridPos": {
+        "h": 8,
+        "w": 12,
+        "x": 0,
+        "y": 0
+      },
+      "options": {
+        "tooltip": {
+          "mode": "multi",
+          "sort": "desc"
+        }
+      },
+      "targets": [
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "sum by (exported_instance) (rate(traces_span_metrics_calls_total{exported_instance=~\"$node\", span_name=\"tx.process\"}[5m]))",
+          "legendFormat": "tx.process / Sec [{{exported_instance}}]"
+        },
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "sum by (exported_instance) (rate(traces_span_metrics_calls_total{exported_instance=~\"$node\", span_name=\"tx.receive\"}[5m]))",
+          "legendFormat": "tx.receive / Sec [{{exported_instance}}]"
+        }
+      ],
+      "fieldConfig": {
+        "defaults": {
+          "unit": "ops",
+          "custom": {
+            "axisLabel": "Transactions / Sec",
+            "spanNulls": true,
+            "insertNulls": false,
+            "showPoints": "auto",
+            "pointSize": 3
+          }
+        },
+        "overrides": []
+      }
+    },
+    {
+      "title": "Transaction Processing Latency",
+      "description": "p95 and p50 latency of transaction processing (tx.process span). Measures the time from when a transaction enters processTransaction() to completion. Computed via histogram_quantile() over the spanmetrics duration histogram with a 5m rate window.",
+      "type": "timeseries",
+      "gridPos": {
+        "h": 8,
+        "w": 12,
+        "x": 12,
+        "y": 0
+      },
+      "options": {
+        "tooltip": {
+          "mode": "multi",
+          "sort": "desc"
+        }
+      },
+      "targets": [
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "histogram_quantile(0.95, sum by (le, exported_instance) (rate(traces_span_metrics_duration_milliseconds_bucket{exported_instance=~\"$node\", span_name=\"tx.process\"}[5m])))",
+          "legendFormat": "P95 [{{exported_instance}}]"
+        },
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "histogram_quantile(0.50, sum by (le, exported_instance) (rate(traces_span_metrics_duration_milliseconds_bucket{exported_instance=~\"$node\", span_name=\"tx.process\"}[5m])))",
+          "legendFormat": "P50 [{{exported_instance}}]"
+        }
+      ],
+      "fieldConfig": {
+        "defaults": {
+          "unit": "ms",
+          "custom": {
+            "axisLabel": "Latency (ms)",
+            "spanNulls": true,
+            "insertNulls": false,
+            "showPoints": "auto",
+            "pointSize": 3
+          }
+        },
+        "overrides": []
+      }
+    },
+    {
+      "title": "Transaction Path Distribution",
+      "description": "Breakdown of transactions by origin path. The xrpl.tx.local attribute indicates whether the transaction was submitted locally (true) or received from a peer (false). Helps understand the ratio of locally-originated vs relayed transactions.",
+      "type": "piechart",
+      "gridPos": {
+        "h": 8,
+        "w": 12,
+        "x": 0,
+        "y": 8
+      },
+      "options": {
+        "tooltip": {
+          "mode": "multi",
+          "sort": "desc"
+        }
+      },
+      "targets": [
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "sum by (xrpl_tx_local, exported_instance) (rate(traces_span_metrics_calls_total{exported_instance=~\"$node\", xrpl_tx_local=~\"$tx_origin\", span_name=\"tx.process\"}[5m]))",
+          "legendFormat": "Local = {{xrpl_tx_local}} [{{exported_instance}}]"
+        }
+      ]
+    },
+    {
+      "title": "Transaction Receive vs Suppressed",
+      "description": "Total rate of raw transaction messages received from peers (tx.receive span from PeerImp.cpp:1273). This fires before deduplication via the HashRouter, so the difference between tx.receive and tx.process reflects suppressed duplicate transactions.",
+      "type": "timeseries",
+      "gridPos": {
+        "h": 8,
+        "w": 12,
+        "x": 12,
+        "y": 8
+      },
+      "options": {
+        "tooltip": {
+          "mode": "multi",
+          "sort": "desc"
+        }
+      },
+      "targets": [
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "sum by (exported_instance) (rate(traces_span_metrics_calls_total{exported_instance=~\"$node\", span_name=\"tx.receive\"}[5m]))",
+          "legendFormat": "Total Received [{{exported_instance}}]"
+        }
+      ],
+      "fieldConfig": {
+        "defaults": {
+          "unit": "ops",
+          "custom": {
+            "axisLabel": "Transactions / Sec",
+            "spanNulls": true,
+            "insertNulls": false,
+            "showPoints": "auto",
+            "pointSize": 3
+          }
+        },
+        "overrides": []
+      }
+    },
+    {
+      "title": "Transaction Processing Duration Heatmap",
+      "description": "Heatmap showing the distribution of tx.process span durations across histogram buckets over time. Each cell represents the count of transactions that completed within that latency bucket in a 5m window. Reveals whether processing times are consistent or exhibit multi-modal patterns.",
+      "type": "heatmap",
+      "gridPos": {
+        "h": 8,
+        "w": 12,
+        "x": 0,
+        "y": 16
+      },
+      "options": {
+        "tooltip": {
+          "mode": "multi",
+          "sort": "desc"
+        },
+        "yAxis": {
+          "axisLabel": "Duration (ms)"
+        }
+      },
+      "targets": [
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "sum(increase(traces_span_metrics_duration_milliseconds_bucket{exported_instance=~\"$node\", span_name=\"tx.process\"}[5m])) by (le)",
+          "legendFormat": "{{le}}",
+          "format": "heatmap"
+        }
+      ]
+    },
+    {
+      "title": "Transaction Apply Duration per Ledger",
+      "description": "p95 and p50 latency of applying the consensus transaction set to a new ledger. The tx.apply span (BuildLedger.cpp:88) wraps the applyTransactions() function that iterates through the CanonicalTXSet and applies each transaction to the OpenView. Long durations indicate heavy transaction sets or expensive transaction processing.",
+      "type": "timeseries",
+      "gridPos": {
+        "h": 8,
+        "w": 12,
+        "x": 12,
+        "y": 16
+      },
+      "options": {
+        "tooltip": {
+          "mode": "multi",
+          "sort": "desc"
+        }
+      },
+      "targets": [
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "histogram_quantile(0.95, sum by (le, exported_instance) (rate(traces_span_metrics_duration_milliseconds_bucket{exported_instance=~\"$node\", span_name=\"tx.apply\"}[5m])))",
+          "legendFormat": "P95 tx.apply [{{exported_instance}}]"
+        },
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "histogram_quantile(0.50, sum by (le, exported_instance) (rate(traces_span_metrics_duration_milliseconds_bucket{exported_instance=~\"$node\", span_name=\"tx.apply\"}[5m])))",
+          "legendFormat": "P50 tx.apply [{{exported_instance}}]"
+        }
+      ],
+      "fieldConfig": {
+        "defaults": {
+          "unit": "ms",
+          "custom": {
+            "axisLabel": "Latency (ms)",
+            "spanNulls": true,
+            "insertNulls": false,
+            "showPoints": "auto",
+            "pointSize": 3
+          }
+        },
+        "overrides": []
+      }
+    },
+    {
+      "title": "Peer Transaction Receive Rate",
+      "description": "Rate of transaction messages received from network peers. Sourced from the tx.receive span (PeerImp.cpp:1273) which fires in the onMessage(TMTransaction) handler. High rates may indicate network-wide transaction volume spikes or peer flooding.",
+      "type": "timeseries",
+      "gridPos": {
+        "h": 8,
+        "w": 12,
+        "x": 0,
+        "y": 24
+      },
+      "options": {
+        "tooltip": {
+          "mode": "multi",
+          "sort": "desc"
+        }
+      },
+      "targets": [
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "sum by (exported_instance) (rate(traces_span_metrics_calls_total{exported_instance=~\"$node\", span_name=\"tx.receive\"}[5m]))",
+          "legendFormat": "tx.receive / Sec [{{exported_instance}}]"
+        }
+      ],
+      "fieldConfig": {
+        "defaults": {
+          "unit": "ops",
+          "custom": {
+            "axisLabel": "Transactions / Sec",
+            "spanNulls": true,
+            "insertNulls": false,
+            "showPoints": "auto",
+            "pointSize": 3
+          }
+        },
+        "overrides": []
+      }
+    },
+    {
+      "title": "Transaction Apply Failed Rate",
+      "description": "Rate of tx.apply spans completing with error status, indicating transaction application failures during ledger building. The span records xrpl.ledger.tx_failed as an attribute. Thresholds: green < 0.1/sec, yellow 0.1-1/sec, red > 1/sec. Some failures are normal (e.g. conflicting offers) but sustained high rates may indicate issues.",
+      "type": "stat",
+      "gridPos": {
+        "h": 8,
+        "w": 12,
+        "x": 12,
+        "y": 24
+      },
+      "options": {
+        "tooltip": {
+          "mode": "multi",
+          "sort": "desc"
+        }
+      },
+      "targets": [
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "expr": "sum by (exported_instance) (rate(traces_span_metrics_calls_total{exported_instance=~\"$node\", span_name=\"tx.apply\", status_code=\"STATUS_CODE_ERROR\"}[5m]))",
+          "legendFormat": "Failed / Sec [{{exported_instance}}]"
+        }
+      ],
+      "fieldConfig": {
+        "defaults": {
+          "unit": "ops",
+          "thresholds": {
+            "steps": [
+              {
+                "color": "green",
+                "value": null
+              },
+              {
+                "color": "yellow",
+                "value": 0.1
+              },
+              {
+                "color": "red",
+                "value": 1
+              }
+            ]
+          }
+        },
+        "overrides": []
+      }
+    }
+  ],
+  "schemaVersion": 39,
+  "tags": ["rippled", "transactions", "telemetry"],
+  "templating": {
+    "list": [
+      {
+        "name": "node",
+        "label": "Node",
+        "description": "Filter by rippled node (service.instance.id — e.g. Node-1)",
+        "type": "query",
+        "query": "label_values(traces_span_metrics_calls_total, exported_instance)",
+        "datasource": {
+          "type": "prometheus",
+          "uid": "prometheus"
+        },
+        "includeAll": true,
+        "allValue": ".*",
+        "current": {
+          "text": "All",
+          "value": "$__all"
+        },
+        "multi": true,
+        "refresh": 2,
+        "sort": 1
+      },
+      {
+        "name": "tx_origin",
+        "label": "TX Origin",
+        "description": "Filter by transaction origin (true = local submit, false = peer relay)",
+        "type": "query",
+        "query": "label_values(traces_span_metrics_calls_total{span_name=\"tx.process\"}, xrpl_tx_local)",
+        "datasource": {
+          "type": "prometheus",
+          "uid": "prometheus"
+        },
+        "includeAll": true,
+        "allValue": ".*",
+        "current": {
+          "text": "All",
+          "value": "$__all"
+        },
+        "multi": true,
+        "refresh": 2,
+        "sort": 1
+      }
+    ]
+  },
+  "time": {
+    "from": "now-1h",
+    "to": "now"
+  },
+  "title": "Transaction Overview",
+  "uid": "rippled-transactions"
+}
--- a/docker/telemetry/grafana/provisioning/dashboards/dashboards.yaml
+++ b/docker/telemetry/grafana/provisioning/dashboards/dashboards.yaml
@@ -0,0 +1,12 @@
+apiVersion: 1
+
+providers:
+  - name: rippled-telemetry
+    orgId: 1
+    folder: rippled
+    type: file
+    disableDeletion: false
+    editable: true
+    options:
+      path: /var/lib/grafana/dashboards
+      foldersFromFilesStructure: false
--- a/docker/telemetry/grafana/provisioning/datasources/jaeger.yaml
+++ b/docker/telemetry/grafana/provisioning/datasources/jaeger.yaml
@@ -0,0 +1,13 @@
+# Grafana datasource provisioning for the rippled telemetry stack.
+# Auto-configures Jaeger as a trace data source on Grafana startup.
+# Access Grafana at http://localhost:3000, then use Explore -> Jaeger
+# to browse rippled traces.
+
+apiVersion: 1
+
+datasources:
+  - name: Jaeger
+    type: jaeger
+    access: proxy
+    url: http://jaeger:16686
+    isDefault: false
--- a/docker/telemetry/grafana/provisioning/datasources/loki.yaml
+++ b/docker/telemetry/grafana/provisioning/datasources/loki.yaml
@@ -0,0 +1,24 @@
+# Grafana Loki data source provisioning for rippled log-trace correlation.
+#
+# Phase 8: Log-Trace Correlation and Centralized Log Ingestion
+#
+# Loki ingests rippled logs via OTel Collector's filelog receiver.
+# The derivedFields config links trace_id values in log lines back to
+# Tempo traces, enabling one-click log-to-trace navigation in Grafana.
+#
+# See: OpenTelemetryPlan/Phase8_taskList.md (Tasks 8.2, 8.4)
+
+apiVersion: 1
+
+datasources:
+  - name: Loki
+    type: loki
+    access: proxy
+    url: http://loki:3100
+    uid: loki
+    jsonData:
+      derivedFields:
+        - datasourceUid: tempo
+          matcherRegex: "trace_id=(\\w+)"
+          name: TraceID
+          url: "$${__value.raw}"
--- a/docker/telemetry/grafana/provisioning/datasources/prometheus.yaml
+++ b/docker/telemetry/grafana/provisioning/datasources/prometheus.yaml
@@ -0,0 +1,10 @@
+apiVersion: 1
+
+datasources:
+  - name: Prometheus
+    type: prometheus
+    uid: prometheus
+    access: proxy
+    url: http://prometheus:9090
+    isDefault: true
+    editable: true
--- a/docker/telemetry/grafana/provisioning/datasources/tempo.yaml
+++ b/docker/telemetry/grafana/provisioning/datasources/tempo.yaml
@@ -0,0 +1,155 @@
+# Grafana datasource provisioning for Grafana Tempo.
+# Auto-configures Tempo as a trace data source on Grafana startup.
+# Access Grafana at http://localhost:3000, then use Explore -> Tempo
+# to browse rippled traces using TraceQL.
+#
+# Search filters provide pre-configured dropdowns in the Explore UI.
+# Each phase adds filters for the span attributes it introduces.
+# Phase 1b (infra): Base filters — node identity, service, span name, status.
+# Phase 2 (RPC):    RPC command, status, role filters.
+# Phase 3 (TX):     Transaction hash, local/peer origin, status.
+# Phase 4 (Cons):   Consensus mode, round, ledger sequence, close time.
+
+apiVersion: 1
+
+datasources:
+  - name: Tempo
+    type: tempo
+    access: proxy
+    url: http://tempo:3200
+    uid: tempo
+    jsonData:
+      nodeGraph:
+        enabled: true
+      serviceMap:
+        datasourceUid: prometheus
+      # Phase 8: Trace-to-log correlation — enables one-click navigation
+      # from a Tempo trace to the corresponding Loki log lines. Filters
+      # by trace_id so only logs from the same trace are shown.
+      tracesToLogs:
+        datasourceUid: loki
+        filterByTraceID: true
+        filterBySpanID: false
+        tags: ["partition", "severity"]
+      tracesToMetrics:
+        datasourceUid: prometheus
+        spanStartTimeShift: "-1h"
+        spanEndTimeShift: "1h"
+      search:
+        filters:
+          # --- Node identification filters ---
+          # service.name: logical service name (default: "rippled").
+          #   Useful when running multiple service types in the same collector.
+          - id: service-name
+            tag: service.name
+            operator: "="
+            scope: resource
+            type: static
+          # service.instance.id: unique node identifier — configurable via
+          #   the service_instance_id setting in [telemetry], defaults to the
+          #   node's public key. E.g. "Node-1" or "nHB1X37...".
+          - id: node-id
+            tag: service.instance.id
+            operator: "="
+            scope: resource
+            type: static
+          # service.version: rippled build version (e.g., "2.4.0-b1").
+          #   Filter traces from specific software releases.
+          - id: node-version
+            tag: service.version
+            operator: "="
+            scope: resource
+            type: dynamic
+          # xrpl.network.id: numeric network identifier
+          #   (0 = mainnet, 1 = testnet, 2 = devnet, etc.).
+          - id: network-id
+            tag: xrpl.network.id
+            operator: "="
+            scope: resource
+            type: dynamic
+          # xrpl.network.type: human-readable network name
+          #   ("mainnet", "testnet", "devnet", "standalone").
+          - id: network-type
+            tag: xrpl.network.type
+            operator: "="
+            scope: resource
+            type: static
+          # --- Span intrinsic filters ---
+          - id: span-name
+            tag: name
+            operator: "="
+            scope: intrinsic
+            type: static
+          - id: span-status
+            tag: status
+            operator: "="
+            scope: intrinsic
+            type: static
+          - id: span-duration
+            tag: duration
+            operator: ">"
+            scope: intrinsic
+            type: static
+          # Phase 2: RPC tracing filters
+          - id: rpc-command
+            tag: xrpl.rpc.command
+            operator: "="
+            scope: span
+            type: static
+          - id: rpc-status
+            tag: xrpl.rpc.status
+            operator: "="
+            scope: span
+            type: dynamic
+          - id: rpc-role
+            tag: xrpl.rpc.role
+            operator: "="
+            scope: span
+            type: dynamic
+          # Phase 3: Transaction tracing filters
+          - id: tx-hash
+            tag: xrpl.tx.hash
+            operator: "="
+            scope: span
+            type: static
+          - id: tx-origin
+            tag: xrpl.tx.local
+            operator: "="
+            scope: span
+            type: dynamic
+          - id: tx-status
+            tag: xrpl.tx.status
+            operator: "="
+            scope: span
+            type: dynamic
+          # Phase 4: Consensus tracing filters
+          - id: consensus-mode
+            tag: xrpl.consensus.mode
+            operator: "="
+            scope: span
+            type: static
+          - id: consensus-round
+            tag: xrpl.consensus.round
+            operator: "="
+            scope: span
+            type: dynamic
+          - id: consensus-ledger-seq
+            tag: xrpl.consensus.ledger.seq
+            operator: "="
+            scope: span
+            type: static
+          - id: consensus-close-time-correct
+            tag: xrpl.consensus.close_time_correct
+            operator: "="
+            scope: span
+            type: dynamic
+          - id: consensus-state
+            tag: xrpl.consensus.state
+            operator: "="
+            scope: span
+            type: dynamic
+          - id: consensus-close-resolution
+            tag: xrpl.consensus.close_resolution_ms
+            operator: "="
+            scope: span
+            type: dynamic
--- a/docker/telemetry/integration-test.sh
+++ b/docker/telemetry/integration-test.sh
@@ -0,0 +1,671 @@
+#!/usr/bin/env bash
+# Integration test for rippled OpenTelemetry instrumentation.
+#
+# Launches a 6-node xrpld consensus network with telemetry enabled,
+# exercises RPC / transaction / consensus code paths, then verifies
+# that the expected spans and metrics appear in Jaeger and Prometheus.
+#
+# Usage:
+#   bash docker/telemetry/integration-test.sh
+#
+# Prerequisites:
+#   - .build/xrpld built with telemetry=ON
+#   - docker compose (v2)
+#   - curl, jq
+#
+# The script leaves the observability stack and xrpld nodes running
+# so you can manually inspect Jaeger (localhost:16686) and Grafana
+# (localhost:3000). Run with --cleanup to tear down instead.
+
+set -euo pipefail
+
+# ---------------------------------------------------------------------------
+# Configuration
+# ---------------------------------------------------------------------------
+SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
+REPO_ROOT="$(cd "$SCRIPT_DIR/../.." && pwd)"
+XRPLD="$REPO_ROOT/.build/xrpld"
+COMPOSE_FILE="$SCRIPT_DIR/docker-compose.yml"
+STANDALONE_CFG="$SCRIPT_DIR/xrpld-telemetry.cfg"
+WORKDIR="/tmp/xrpld-integration"
+NUM_NODES=6
+PEER_PORT_BASE=51235
+RPC_PORT_BASE=5005
+CONSENSUS_TIMEOUT=120
+GENESIS_ACCOUNT="rHb9CJAWyB4rj91VRWn96DkukG4bwdtyTh"
+GENESIS_SEED="snoPBrXtMeMyMHUVTgbuqAfg1SUTb"
+DEST_ACCOUNT=""  # Generated dynamically via wallet_propose
+JAEGER="http://localhost:16686"
+PROM="http://localhost:9090"
+
+# Counters for pass/fail
+PASS=0
+FAIL=0
+
+# ---------------------------------------------------------------------------
+# Helpers
+# ---------------------------------------------------------------------------
+log()  { printf "\033[1;34m[INFO]\033[0m  %s\n" "$*"; }
+ok()   { printf "\033[1;32m[PASS]\033[0m  %s\n" "$*"; PASS=$((PASS + 1)); }
+fail() { printf "\033[1;31m[FAIL]\033[0m  %s\n" "$*"; FAIL=$((FAIL + 1)); }
+die()  { printf "\033[1;31m[ERROR]\033[0m %s\n" "$*" >&2; exit 1; }
+
+check_span() {
+    local op="$1"
+    local count
+    count=$(curl -sf "$JAEGER/api/traces?service=rippled&operation=$op&limit=5&lookback=1h" \
+        | jq '.data | length' 2>/dev/null || echo 0)
+    if [ "$count" -gt 0 ]; then
+        ok "$op  ($count traces)"
+    else
+        fail "$op  (0 traces)"
+    fi
+}
+
+# Phase 8: Verify trace_id injection in rippled log output.
+# Greps all node debug.log files for the "trace_id=<hex> span_id=<hex>"
+# pattern that Logs::format() injects when an active OTel span exists.
+# Also cross-checks that a trace_id found in logs matches a trace in Jaeger.
+check_log_correlation() {
+    log "Checking log-trace correlation..."
+
+    local total_matches=0
+    local sample_trace_id=""
+
+    for i in $(seq 1 "$NUM_NODES"); do
+        local logfile="$WORKDIR/node$i/debug.log"
+        if [ ! -f "$logfile" ]; then
+            continue
+        fi
+        local matches
+        matches=$(grep -c 'trace_id=[a-f0-9]\{32\} span_id=[a-f0-9]\{16\}' "$logfile" 2>/dev/null || echo 0)
+        total_matches=$((total_matches + matches))
+        # Capture the first trace_id we find for cross-referencing with Jaeger
+        if [ -z "$sample_trace_id" ] && [ "$matches" -gt 0 ]; then
+            sample_trace_id=$(grep -o 'trace_id=[a-f0-9]\{32\}' "$logfile" | head -1 | cut -d= -f2)
+        fi
+    done
+
+    if [ "$total_matches" -gt 0 ]; then
+        ok "Log correlation: found $total_matches log lines with trace_id"
+    else
+        fail "Log correlation: no trace_id found in any node debug.log"
+    fi
+
+    # Cross-check: verify the sample trace_id exists in Jaeger
+    if [ -n "$sample_trace_id" ]; then
+        local trace_found
+        trace_found=$(curl -sf "$JAEGER/api/traces/$sample_trace_id" \
+            | jq '.data | length' 2>/dev/null || echo 0)
+        if [ "$trace_found" -gt 0 ]; then
+            ok "Log-Jaeger cross-check: trace_id=$sample_trace_id found in Jaeger"
+        else
+            fail "Log-Jaeger cross-check: trace_id=$sample_trace_id NOT found in Jaeger"
+        fi
+    fi
+}
+
+cleanup() {
+    log "Cleaning up..."
+    # Kill xrpld nodes
+    for i in $(seq 1 "$NUM_NODES"); do
+        local pidfile="$WORKDIR/node$i/xrpld.pid"
+        if [ -f "$pidfile" ]; then
+            kill "$(cat "$pidfile")" 2>/dev/null || true
+            rm -f "$pidfile"
+        fi
+    done
+    # Also kill any straggling xrpld processes from our workdir
+    pkill -f "$WORKDIR" 2>/dev/null || true
+    # Stop docker stack
+    docker compose -f "$COMPOSE_FILE" down 2>/dev/null || true
+    # Remove workdir
+    rm -rf "$WORKDIR"
+    log "Cleanup complete."
+}
+
+# Handle --cleanup flag
+if [ "${1:-}" = "--cleanup" ]; then
+    cleanup
+    exit 0
+fi
+
+# ---------------------------------------------------------------------------
+# Step 0: Prerequisites
+# ---------------------------------------------------------------------------
+log "Checking prerequisites..."
+
+command -v docker >/dev/null 2>&1 || die "docker not found"
+docker compose version >/dev/null 2>&1 || die "docker compose (v2) not found"
+command -v curl >/dev/null 2>&1 || die "curl not found"
+command -v jq >/dev/null 2>&1 || die "jq not found"
+[ -x "$XRPLD" ] || die "xrpld binary not found at $XRPLD (build with telemetry=ON)"
+[ -f "$COMPOSE_FILE" ] || die "docker-compose.yml not found at $COMPOSE_FILE"
+[ -f "$STANDALONE_CFG" ] || die "xrpld-telemetry.cfg not found at $STANDALONE_CFG"
+
+log "All prerequisites met."
+
+# ---------------------------------------------------------------------------
+# Step 1: Clean previous run
+# ---------------------------------------------------------------------------
+log "Cleaning previous run data..."
+for i in $(seq 1 "$NUM_NODES"); do
+    pidfile="$WORKDIR/node$i/xrpld.pid"
+    if [ -f "$pidfile" ]; then
+        kill "$(cat "$pidfile")" 2>/dev/null || true
+    fi
+done
+pkill -f "$WORKDIR" 2>/dev/null || true
+# Kill any xrpld using the standalone config (from key generation)
+pkill -f "xrpld-telemetry.cfg" 2>/dev/null || true
+sleep 2
+rm -rf "$WORKDIR"
+mkdir -p "$WORKDIR"
+
+# ---------------------------------------------------------------------------
+# Step 2: Start observability stack
+# ---------------------------------------------------------------------------
+log "Starting observability stack..."
+docker compose -f "$COMPOSE_FILE" up -d
+
+log "Waiting for otel-collector to be ready..."
+for attempt in $(seq 1 30); do
+    # The OTLP HTTP endpoint returns 405 for GET (expects POST), which
+    # means it is listening.  curl -sf would fail on 405, so we check
+    # the HTTP status code explicitly.
+    status=$(curl -so /dev/null -w '%{http_code}' http://localhost:4318/ 2>/dev/null || echo 000)
+    if [ "$status" != "000" ]; then
+        log "otel-collector ready (attempt $attempt, HTTP $status)."
+        break
+    fi
+    if [ "$attempt" -eq 30 ]; then
+        die "otel-collector not ready after 30s"
+    fi
+    sleep 1
+done
+
+log "Waiting for Jaeger to be ready..."
+for attempt in $(seq 1 30); do
+    if curl -sf "$JAEGER/" >/dev/null 2>&1; then
+        log "Jaeger ready (attempt $attempt)."
+        break
+    fi
+    if [ "$attempt" -eq 30 ]; then
+        die "Jaeger not ready after 30s"
+    fi
+    sleep 1
+done
+
+# ---------------------------------------------------------------------------
+# Step 3: Generate validator keys
+# ---------------------------------------------------------------------------
+log "Generating $NUM_NODES validator key pairs..."
+
+# Start a temporary standalone xrpld for key generation
+TEMP_DATA="$WORKDIR/temp-keygen"
+mkdir -p "$TEMP_DATA"
+
+# Create a minimal temp config for key generation
+TEMP_CFG="$TEMP_DATA/xrpld.cfg"
+cat > "$TEMP_CFG" <<EOCFG
+[server]
+port_rpc_temp
+
+[port_rpc_temp]
+port = 5099
+ip = 127.0.0.1
+admin = 127.0.0.1
+protocol = http
+
+[node_db]
+type=NuDB
+path=$TEMP_DATA/nudb
+online_delete=256
+
+[database_path]
+$TEMP_DATA/db
+
+[debug_logfile]
+$TEMP_DATA/debug.log
+
+[ssl_verify]
+0
+EOCFG
+
+"$XRPLD" --conf "$TEMP_CFG" -a --start > "$TEMP_DATA/stdout.log" 2>&1 &
+TEMP_PID=$!
+log "Temporary xrpld started (PID $TEMP_PID), waiting for RPC..."
+
+for attempt in $(seq 1 30); do
+    if curl -sf http://localhost:5099 -d '{"method":"server_info"}' >/dev/null 2>&1; then
+        log "Temporary xrpld RPC ready (attempt $attempt)."
+        break
+    fi
+    if [ "$attempt" -eq 30 ]; then
+        kill "$TEMP_PID" 2>/dev/null || true
+        die "Temporary xrpld RPC not ready after 30s"
+    fi
+    sleep 1
+done
+
+declare -a SEEDS
+declare -a PUBKEYS
+
+for i in $(seq 1 "$NUM_NODES"); do
+    result=$(curl -sf http://localhost:5099 -d '{"method":"validation_create"}')
+    seed=$(echo "$result" | jq -r '.result.validation_seed')
+    pubkey=$(echo "$result" | jq -r '.result.validation_public_key')
+    if [ -z "$seed" ] || [ "$seed" = "null" ]; then
+        kill "$TEMP_PID" 2>/dev/null || true
+        die "Failed to generate key pair $i"
+    fi
+    SEEDS+=("$seed")
+    PUBKEYS+=("$pubkey")
+    log "  Node $i: $pubkey"
+done
+
+kill "$TEMP_PID" 2>/dev/null || true
+wait "$TEMP_PID" 2>/dev/null || true
+rm -rf "$TEMP_DATA"
+log "Key generation complete."
+
+# ---------------------------------------------------------------------------
+# Step 4: Generate node configs and validators.txt
+# ---------------------------------------------------------------------------
+log "Generating node configs..."
+
+# Create shared validators.txt
+VALIDATORS_FILE="$WORKDIR/validators.txt"
+{
+    echo "[validators]"
+    for i in $(seq 0 $((NUM_NODES - 1))); do
+        echo "${PUBKEYS[$i]}"
+    done
+} > "$VALIDATORS_FILE"
+
+# Create per-node configs
+for i in $(seq 1 "$NUM_NODES"); do
+    NODE_DIR="$WORKDIR/node$i"
+    mkdir -p "$NODE_DIR/nudb" "$NODE_DIR/db"
+
+    RPC_PORT=$((RPC_PORT_BASE + i - 1))
+    PEER_PORT=$((PEER_PORT_BASE + i - 1))
+    SEED="${SEEDS[$((i - 1))]}"
+
+    # Build ips_fixed list (all peers except self)
+    IPS_FIXED=""
+    for j in $(seq 1 "$NUM_NODES"); do
+        if [ "$j" -ne "$i" ]; then
+            IPS_FIXED="${IPS_FIXED}127.0.0.1 $((PEER_PORT_BASE + j - 1))
+"
+        fi
+    done
+
+    cat > "$NODE_DIR/xrpld.cfg" <<EOCFG
+[server]
+port_rpc
+port_peer
+
+[port_rpc]
+port = $RPC_PORT
+ip = 127.0.0.1
+admin = 127.0.0.1
+protocol = http
+
+[port_peer]
+port = $PEER_PORT
+ip = 0.0.0.0
+protocol = peer
+
+[node_db]
+type=NuDB
+path=$NODE_DIR/nudb
+online_delete=256
+
+[database_path]
+$NODE_DIR/db
+
+[debug_logfile]
+$NODE_DIR/debug.log
+
+[validation_seed]
+$SEED
+
+[validators_file]
+$VALIDATORS_FILE
+
+[ips_fixed]
+${IPS_FIXED}
+[peer_private]
+1
+
+[telemetry]
+enabled=1
+service_instance_id=Node-${i}
+endpoint=http://localhost:4318/v1/traces
+exporter=otlp_http
+sampling_ratio=1.0
+batch_size=512
+batch_delay_ms=2000
+max_queue_size=2048
+trace_rpc=1
+trace_transactions=1
+trace_consensus=1
+trace_peer=1
+trace_ledger=1
+
+[insight]
+server=otel
+endpoint=http://localhost:4318/v1/metrics
+prefix=rippled
+
+[rpc_startup]
+{ "command": "log_level", "severity": "warning" }
+
+[ssl_verify]
+0
+EOCFG
+
+    log "  Node $i config: RPC=$RPC_PORT, Peer=$PEER_PORT"
+done
+
+# ---------------------------------------------------------------------------
+# Step 5: Start all 6 nodes
+# ---------------------------------------------------------------------------
+log "Starting $NUM_NODES xrpld nodes..."
+
+for i in $(seq 1 "$NUM_NODES"); do
+    NODE_DIR="$WORKDIR/node$i"
+    "$XRPLD" --conf "$NODE_DIR/xrpld.cfg" --start > "$NODE_DIR/stdout.log" 2>&1 &
+    echo $! > "$NODE_DIR/xrpld.pid"
+    log "  Node $i started (PID $(cat "$NODE_DIR/xrpld.pid"))"
+done
+
+# Give nodes a moment to initialize
+sleep 5
+
+# ---------------------------------------------------------------------------
+# Step 6: Wait for consensus
+# ---------------------------------------------------------------------------
+log "Waiting for nodes to reach 'proposing' state (timeout: ${CONSENSUS_TIMEOUT}s)..."
+
+start_time=$(date +%s)
+nodes_ready=0
+
+while [ "$nodes_ready" -lt "$NUM_NODES" ]; do
+    elapsed=$(( $(date +%s) - start_time ))
+    if [ "$elapsed" -ge "$CONSENSUS_TIMEOUT" ]; then
+        fail "Consensus timeout after ${CONSENSUS_TIMEOUT}s ($nodes_ready/$NUM_NODES nodes ready)"
+        log "Continuing with partial consensus..."
+        break
+    fi
+
+    nodes_ready=0
+    for i in $(seq 1 "$NUM_NODES"); do
+        RPC_PORT=$((RPC_PORT_BASE + i - 1))
+        state=$(curl -sf "http://localhost:$RPC_PORT" \
+            -d '{"method":"server_info"}' 2>/dev/null \
+            | jq -r '.result.info.server_state' 2>/dev/null || echo "unreachable")
+        if [ "$state" = "proposing" ]; then
+            nodes_ready=$((nodes_ready + 1))
+        fi
+    done
+    printf "\r  %d/%d nodes proposing (%ds elapsed)..." "$nodes_ready" "$NUM_NODES" "$elapsed"
+    if [ "$nodes_ready" -lt "$NUM_NODES" ]; then
+        sleep 3
+    fi
+done
+echo ""
+
+if [ "$nodes_ready" -eq "$NUM_NODES" ]; then
+    ok "All $NUM_NODES nodes reached 'proposing' state"
+else
+    fail "Only $nodes_ready/$NUM_NODES nodes reached 'proposing' state"
+fi
+
+# ---------------------------------------------------------------------------
+# Step 6b: Wait for validated ledger
+# ---------------------------------------------------------------------------
+log "Waiting for first validated ledger..."
+for attempt in $(seq 1 60); do
+    val_seq=$(curl -sf "http://localhost:$RPC_PORT_BASE" \
+        -d '{"method":"server_info"}' 2>/dev/null \
+        | jq -r '.result.info.validated_ledger.seq // 0' 2>/dev/null || echo 0)
+    if [ "$val_seq" -gt 2 ] 2>/dev/null; then
+        ok "First validated ledger: seq $val_seq"
+        break
+    fi
+    if [ "$attempt" -eq 60 ]; then
+        fail "No validated ledger after 60s"
+    fi
+    sleep 1
+done
+
+# ---------------------------------------------------------------------------
+# Step 7: Exercise RPC spans (Phase 2)
+# ---------------------------------------------------------------------------
+log "Exercising RPC spans..."
+
+curl -sf "http://localhost:$RPC_PORT_BASE" \
+    -d '{"method":"server_info"}' > /dev/null
+curl -sf "http://localhost:$RPC_PORT_BASE" \
+    -d '{"method":"server_state"}' > /dev/null
+curl -sf "http://localhost:$RPC_PORT_BASE" \
+    -d '{"method":"ledger","params":[{"ledger_index":"current"}]}' > /dev/null
+
+log "RPC commands sent. Waiting 5s for batch export..."
+sleep 5
+
+# ---------------------------------------------------------------------------
+# Step 8: Submit transaction (Phase 3)
+# ---------------------------------------------------------------------------
+log "Submitting Payment transaction..."
+
+# Generate a destination wallet
+log "  Generating destination wallet..."
+wallet_result=$(curl -sf "http://localhost:$RPC_PORT_BASE" \
+    -d '{"method":"wallet_propose"}')
+DEST_ACCOUNT=$(echo "$wallet_result" | jq -r '.result.account_id' 2>/dev/null)
+if [ -z "$DEST_ACCOUNT" ] || [ "$DEST_ACCOUNT" = "null" ]; then
+    fail "Could not generate destination wallet"
+    DEST_ACCOUNT="rrrrrrrrrrrrrrrrrrrrrhoLvTp"  # ACCOUNT_ZERO fallback
+fi
+log "  Destination: $DEST_ACCOUNT"
+
+# Get genesis account info
+acct_result=$(curl -sf "http://localhost:$RPC_PORT_BASE" \
+    -d "{\"method\":\"account_info\",\"params\":[{\"account\":\"$GENESIS_ACCOUNT\"}]}")
+seq_num=$(echo "$acct_result" | jq -r '.result.account_data.Sequence' 2>/dev/null || echo "unknown")
+log "  Genesis account sequence: $seq_num"
+
+# Submit payment
+submit_result=$(curl -sf "http://localhost:$RPC_PORT_BASE" -d "{
+  \"method\": \"submit\",
+  \"params\": [{
+    \"secret\": \"$GENESIS_SEED\",
+    \"tx_json\": {
+      \"TransactionType\": \"Payment\",
+      \"Account\": \"$GENESIS_ACCOUNT\",
+      \"Destination\": \"$DEST_ACCOUNT\",
+      \"Amount\": \"10000000\"
+    }
+  }]
+}")
+
+engine_result=$(echo "$submit_result" | jq -r '.result.engine_result' 2>/dev/null || echo "unknown")
+tx_hash=$(echo "$submit_result" | jq -r '.result.tx_json.hash' 2>/dev/null || echo "unknown")
+
+if [ "$engine_result" = "tesSUCCESS" ] || [ "$engine_result" = "terQUEUED" ]; then
+    ok "Transaction submitted: $engine_result (hash: ${tx_hash:0:16}...)"
+else
+    fail "Transaction submission: $engine_result"
+    log "  Full response: $(echo "$submit_result" | jq -c .result 2>/dev/null)"
+fi
+
+log "Waiting 15s for consensus round + batch export..."
+sleep 15
+
+# ---------------------------------------------------------------------------
+# Step 9: Verify Jaeger traces
+# ---------------------------------------------------------------------------
+log "Verifying spans in Jaeger..."
+
+# Check service registration
+services=$(curl -sf "$JAEGER/api/services" | jq -r '.data[]' 2>/dev/null || echo "")
+if echo "$services" | grep -q "rippled"; then
+    ok "Service 'rippled' registered in Jaeger"
+else
+    fail "Service 'rippled' NOT found in Jaeger (found: $services)"
+fi
+
+log ""
+log "--- Phase 2: RPC Spans ---"
+check_span "rpc.request"
+check_span "rpc.process"
+check_span "rpc.command.server_info"
+check_span "rpc.command.server_state"
+check_span "rpc.command.ledger"
+
+log ""
+log "--- Phase 3: Transaction Spans ---"
+check_span "tx.process"
+check_span "tx.receive"
+check_span "tx.apply"
+
+log ""
+log "--- Phase 4: Consensus Spans ---"
+check_span "consensus.proposal.send"
+check_span "consensus.ledger_close"
+check_span "consensus.accept"
+check_span "consensus.validation.send"
+
+log ""
+log "--- Phase 5: Ledger Spans ---"
+check_span "ledger.build"
+check_span "ledger.validate"
+check_span "ledger.store"
+
+log ""
+log "--- Phase 5: Peer Spans (trace_peer=1) ---"
+check_span "peer.proposal.receive"
+check_span "peer.validation.receive"
+
+# ---------------------------------------------------------------------------
+# Step 9b: Verify log-trace correlation (Phase 8)
+# ---------------------------------------------------------------------------
+log ""
+log "--- Phase 8: Log-Trace Correlation ---"
+check_log_correlation
+
+# ---------------------------------------------------------------------------
+# Step 10: Verify Prometheus spanmetrics
+# ---------------------------------------------------------------------------
+log ""
+log "--- Phase 5: Spanmetrics ---"
+log "Waiting 20s for Prometheus scrape cycle..."
+sleep 20
+
+calls_count=$(curl -sf "$PROM/api/v1/query?query=traces_span_metrics_calls_total" \
+    | jq '.data.result | length' 2>/dev/null || echo 0)
+if [ "$calls_count" -gt 0 ]; then
+    ok "Prometheus: traces_span_metrics_calls_total ($calls_count series)"
+else
+    fail "Prometheus: traces_span_metrics_calls_total (0 series)"
+fi
+
+duration_count=$(curl -sf "$PROM/api/v1/query?query=traces_span_metrics_duration_milliseconds_count" \
+    | jq '.data.result | length' 2>/dev/null || echo 0)
+if [ "$duration_count" -gt 0 ]; then
+    ok "Prometheus: duration histogram ($duration_count series)"
+else
+    fail "Prometheus: duration histogram (0 series)"
+fi
+
+# Check Grafana
+if curl -sf http://localhost:3000/api/health > /dev/null 2>&1; then
+    ok "Grafana: healthy at localhost:3000"
+else
+    fail "Grafana: not reachable at localhost:3000"
+fi
+
+# ---------------------------------------------------------------------------
+# Step 10b: Verify native OTel metrics in Prometheus (beast::insight)
+# ---------------------------------------------------------------------------
+log ""
+log "--- Phase 7: Native OTel Metrics (beast::insight via OTLP) ---"
+log "Waiting 20s for OTLP metric export + Prometheus scrape..."
+sleep 20
+
+check_otel_metric() {
+    local metric_name="$1"
+    local result
+    result=$(curl -sf "$PROM/api/v1/query?query=$metric_name" \
+        | jq '.data.result | length' 2>/dev/null || echo 0)
+    if [ "$result" -gt 0 ]; then
+        ok "OTel: $metric_name ($result series)"
+    else
+        fail "OTel: $metric_name (0 series)"
+    fi
+}
+
+# Node health gauges (ObservableGauge — no _total suffix)
+check_otel_metric "rippled_LedgerMaster_Validated_Ledger_Age"
+check_otel_metric "rippled_LedgerMaster_Published_Ledger_Age"
+check_otel_metric "rippled_job_count"
+
+# State accounting
+check_otel_metric "rippled_State_Accounting_Full_duration"
+
+# Peer finder
+check_otel_metric "rippled_Peer_Finder_Active_Inbound_Peers"
+check_otel_metric "rippled_Peer_Finder_Active_Outbound_Peers"
+
+# RPC counters (Counter — Prometheus adds _total suffix automatically)
+check_otel_metric "rippled_rpc_requests_total"
+
+# Overlay traffic
+check_otel_metric "rippled_total_Bytes_In"
+
+# Verify StatsD receiver is NOT required (no statsd receiver in pipeline)
+log ""
+log "--- Verify StatsD receiver is not required ---"
+statsd_port_check=$(curl -sf "http://localhost:8125" 2>&1 || echo "refused")
+if echo "$statsd_port_check" | grep -qi "refused\|error\|connection"; then
+    ok "StatsD port 8125 is not listening (not required)"
+else
+    fail "StatsD port 8125 appears to be listening (should not be needed)"
+fi
+
+# ---------------------------------------------------------------------------
+# Step 11: Summary
+# ---------------------------------------------------------------------------
+echo ""
+echo "==========================================================="
+echo "  INTEGRATION TEST RESULTS"
+echo "==========================================================="
+printf "  \033[1;32mPASSED: %d\033[0m\n" "$PASS"
+printf "  \033[1;31mFAILED: %d\033[0m\n" "$FAIL"
+echo "==========================================================="
+echo ""
+echo "  Observability stack is running:"
+echo ""
+echo "    Jaeger UI:     http://localhost:16686"
+echo "    Grafana:       http://localhost:3000"
+echo "    Prometheus:    http://localhost:9090"
+echo "    Loki:          http://localhost:3100"
+echo ""
+echo "  xrpld nodes (6) are running:"
+for i in $(seq 1 "$NUM_NODES"); do
+    RPC_PORT=$((RPC_PORT_BASE + i - 1))
+    PEER_PORT=$((PEER_PORT_BASE + i - 1))
+    echo "    Node $i: RPC=localhost:$RPC_PORT  Peer=:$PEER_PORT  PID=$(cat "$WORKDIR/node$i/xrpld.pid" 2>/dev/null || echo 'unknown')"
+done
+echo ""
+echo "  To tear down:"
+echo "    bash docker/telemetry/integration-test.sh --cleanup"
+echo ""
+echo "==========================================================="
+
+if [ "$FAIL" -gt 0 ]; then
+    exit 1
+fi
--- a/docker/telemetry/otel-collector-config.yaml
+++ b/docker/telemetry/otel-collector-config.yaml
@@ -0,0 +1,120 @@
+# OpenTelemetry Collector configuration for rippled development.
+#
+# Pipelines:
+#   traces: OTLP receiver -> batch processor -> debug + Jaeger + Tempo + spanmetrics
+#   metrics: OTLP receiver + spanmetrics connector -> Prometheus exporter
+#   logs:   filelog receiver -> batch processor -> otlphttp/Loki (Phase 8)
+#
+# rippled sends traces via OTLP/HTTP to port 4318. The collector batches
+# them, forwards to both Jaeger and Tempo, and derives RED metrics via the
+# spanmetrics connector, which Prometheus scrapes on port 8889.
+#
+# rippled sends beast::insight metrics natively via OTLP/HTTP to port 4318
+# (same endpoint as traces). The OTLP receiver feeds both the traces and
+# metrics pipelines. Metrics are exported to Prometheus alongside
+# span-derived metrics.
+#
+# For backward compatibility, the StatsD receiver config is preserved below
+# but commented out. If you need StatsD fallback (server=statsd in
+# [insight]), uncomment the statsd receiver and add it to the metrics
+# pipeline receivers list.
+#
+# Phase 8: The filelog receiver tails rippled's debug.log files under
+# /var/log/rippled/ (mounted from the host). A regex_parser operator
+# extracts timestamp, partition, severity, and optional trace_id/span_id
+# fields injected by Logs::format(). Parsed logs are exported to Grafana
+# Loki for log-trace correlation.
+
+receivers:
+  otlp:
+    protocols:
+      grpc:
+        endpoint: 0.0.0.0:4317
+      http:
+        endpoint: 0.0.0.0:4318
+  # StatsD receiver — kept for backward compatibility with server=statsd.
+  # Uncomment and add "statsd" to metrics pipeline receivers if needed.
+  # statsd:
+  #   endpoint: "0.0.0.0:8125"
+  #   aggregation_interval: 15s
+  #   enable_metric_type: true
+  #   is_monotonic_counter: true
+  #   timer_histogram_mapping:
+  #     - statsd_type: "timing"
+  #       observer_type: "summary"
+  #       summary:
+  #         percentiles: [0, 50, 90, 95, 99, 100]
+  #     - statsd_type: "histogram"
+  #       observer_type: "summary"
+  #       summary:
+  #         percentiles: [0, 50, 90, 95, 99, 100]
+  # Phase 8: Filelog receiver tails rippled debug.log files for log-trace
+  # correlation. Extracts structured fields (timestamp, partition, severity,
+  # trace_id, span_id, message) via regex. The trace_id and span_id are
+  # optional — only present when the log was emitted within an active span.
+  filelog:
+    include: [/var/log/rippled/*/debug.log]
+    operators:
+      - type: regex_parser
+        regex: '^(?P<timestamp>\S+)\s+(?P<partition>\S+):(?P<severity>\S+)\s+(?:trace_id=(?P<trace_id>[a-f0-9]+)\s+span_id=(?P<span_id>[a-f0-9]+)\s+)?(?P<message>.*)$'
+        timestamp:
+          parse_from: attributes.timestamp
+          layout: "%Y-%b-%d %H:%M:%S.%f"
+
+processors:
+  batch:
+    timeout: 1s
+    send_batch_size: 100
+
+connectors:
+  spanmetrics:
+    # Expose service.instance.id (node public key) as a Prometheus label so
+    # Grafana dashboards can filter metrics by individual node.
+    resource_metrics_key_attributes:
+      - service.instance.id
+    histogram:
+      explicit:
+        buckets: [1ms, 5ms, 10ms, 25ms, 50ms, 100ms, 250ms, 500ms, 1s, 5s]
+    dimensions:
+      - name: xrpl.rpc.command
+      - name: xrpl.rpc.status
+      - name: xrpl.consensus.mode
+      - name: xrpl.tx.local
+      - name: xrpl.peer.proposal.trusted
+      - name: xrpl.peer.validation.trusted
+
+exporters:
+  debug:
+    verbosity: detailed
+  otlp/jaeger:
+    endpoint: jaeger:4317
+    tls:
+      insecure: true
+  otlp/tempo:
+    endpoint: tempo:4317
+    tls:
+      insecure: true
+  # Phase 8: Export logs to Grafana Loki via OTLP/HTTP. Loki 3.x supports
+  # native OTLP ingestion on its /otlp endpoint, replacing the removed
+  # loki exporter (dropped in otel-collector-contrib v0.147.0).
+  otlphttp/loki:
+    endpoint: http://loki:3100/otlp
+  prometheus:
+    endpoint: 0.0.0.0:8889
+
+service:
+  pipelines:
+    traces:
+      receivers: [otlp]
+      processors: [batch]
+      exporters: [debug, otlp/jaeger, otlp/tempo, spanmetrics]
+    metrics:
+      receivers: [otlp, spanmetrics]
+      processors: [batch]
+      exporters: [prometheus]
+    # Phase 8: Log pipeline ingests rippled debug.log via filelog receiver,
+    # batches entries, and exports to Loki for log-trace correlation.
+    logs:
+      receivers: [filelog]
+      processors: [batch]
+      exporters: [otlphttp/loki]
--- a/docker/telemetry/prometheus.yml
+++ b/docker/telemetry/prometheus.yml
@@ -0,0 +1,9 @@
+# Prometheus configuration for scraping spanmetrics from OTel Collector.
+global:
+  scrape_interval: 15s
+  evaluation_interval: 15s
+
+scrape_configs:
+  - job_name: otel-collector
+    static_configs:
+      - targets: ["otel-collector:8889"]
--- a/docker/telemetry/tempo.yaml
+++ b/docker/telemetry/tempo.yaml
@@ -0,0 +1,59 @@
+# Grafana Tempo configuration for rippled telemetry stack.
+#
+# Runs in single-binary mode for local development.
+# Receives traces via OTLP/gRPC from the OTel Collector and stores
+# them locally. Queryable via Grafana Explore using the Tempo datasource.
+#
+# Search filters are configured on the Grafana datasource side
+# (grafana/provisioning/datasources/tempo.yaml). Tempo auto-indexes
+# all span attributes for search in single-binary mode.
+#
+# For production, replace local storage with S3/GCS backend and adjust
+# retention via the compactor settings. See:
+# https://grafana.com/docs/tempo/latest/configuration/
+
+stream_over_http_enabled: true
+
+server:
+  http_listen_port: 3200
+
+distributor:
+  receivers:
+    otlp:
+      protocols:
+        grpc:
+          endpoint: 0.0.0.0:4317
+
+ingester:
+  max_block_duration: 5m
+
+compactor:
+  compaction:
+    block_retention: 1h
+
+# Enable metrics generator for service graph and span metrics.
+# Produces RED metrics (rate, errors, duration) per service/span,
+# feeding Grafana's service map visualization.
+metrics_generator:
+  registry:
+    external_labels:
+      source: tempo
+  storage:
+    path: /var/tempo/generator/wal
+    remote_write:
+      - url: http://prometheus:9090/api/v1/write
+
+overrides:
+  defaults:
+    metrics_generator:
+      processors:
+        - service-graphs
+        - span-metrics
+
+storage:
+  trace:
+    backend: local
+    wal:
+      path: /var/tempo/wal
+    local:
+      path: /var/tempo/blocks
--- a/docker/telemetry/xrpld-telemetry.cfg
+++ b/docker/telemetry/xrpld-telemetry.cfg
@@ -0,0 +1,60 @@
+# Standalone xrpld configuration with OpenTelemetry enabled.
+#
+# Usage:
+#   1. Start the observability stack:
+#        docker compose -f docker/telemetry/docker-compose.yml up -d
+#   2. Run xrpld in standalone mode:
+#        ./xrpld --conf docker/telemetry/xrpld-telemetry.cfg -a --start
+#   3. Send RPC commands to exercise tracing:
+#        curl -s http://localhost:5005 -d '{"method":"server_info"}'
+#   4. View traces in Jaeger UI: http://localhost:16686
+
+[server]
+port_rpc_admin_local
+port_ws_admin_local
+
+[port_rpc_admin_local]
+port = 5005
+ip = 127.0.0.1
+admin = 127.0.0.1
+protocol = http
+
+[port_ws_admin_local]
+port = 6006
+ip = 127.0.0.1
+admin = 127.0.0.1
+protocol = ws
+
+[node_db]
+type=NuDB
+path=./data/nudb
+online_delete=256
+advisory_delete=0
+
+[database_path]
+./data
+
+[debug_logfile]
+./data/debug.log
+
+[rpc_startup]
+{ "command": "log_level", "severity": "debug" }
+
+[ssl_verify]
+0
+
+# --- OpenTelemetry tracing ---
+[telemetry]
+enabled=1
+service_instance_id=rippled-standalone
+endpoint=http://localhost:4318/v1/traces
+exporter=otlp_http
+sampling_ratio=1.0
+batch_size=512
+batch_delay_ms=5000
+max_queue_size=2048
+trace_rpc=1
+trace_transactions=1
+trace_consensus=1
+trace_peer=0
+trace_ledger=1
--- a/docs/build/environment.md
+++ b/docs/build/environment.md
@@ -109,32 +109,3 @@ Install CMake with Homebrew too:
 ```
 brew install cmake
 ```
-
-## Clang-tidy
-
-Clang-tidy is required to run static analysis checks locally (see [CONTRIBUTING.md](../../CONTRIBUTING.md)).
-It is not required to build the project. Currently this project uses clang-tidy version 21.
-
-### Linux
-
-LLVM 21 is not available in the default Debian 12 (Bookworm) repositories.
-Install it using the official LLVM apt installer:
-
-```
-wget https://apt.llvm.org/llvm.sh
-chmod +x llvm.sh
-sudo ./llvm.sh 21
-sudo apt install --yes clang-tidy-21
-```
-
-Then use `run-clang-tidy-21` when running clang-tidy locally.
-
-### macOS
-
-Install LLVM 21 via Homebrew:
-
-```
-brew install llvm@21
-```
-
-Then use `run-clang-tidy` from the LLVM 21 Homebrew prefix when running clang-tidy locally.
--- a/docs/build/telemetry.md
+++ b/docs/build/telemetry.md
@@ -0,0 +1,278 @@
+# OpenTelemetry Tracing for Rippled
+
+This document explains how to build rippled with OpenTelemetry distributed tracing support, configure the runtime telemetry options, and set up the observability backend to view traces.
+
+- [OpenTelemetry Tracing for Rippled](#opentelemetry-tracing-for-rippled)
+  - [Overview](#overview)
+  - [Building with Telemetry](#building-with-telemetry)
+    - [Summary](#summary)
+    - [Build steps](#build-steps)
+      - [Install dependencies](#install-dependencies)
+      - [Call CMake](#call-cmake)
+      - [Build](#build)
+    - [Building without telemetry](#building-without-telemetry)
+  - [Runtime Configuration](#runtime-configuration)
+    - [Configuration options](#configuration-options)
+  - [Observability Stack](#observability-stack)
+    - [Start the stack](#start-the-stack)
+    - [Verify the stack](#verify-the-stack)
+    - [View traces in Jaeger](#view-traces-in-jaeger)
+  - [Running Tests](#running-tests)
+  - [Troubleshooting](#troubleshooting)
+    - [No traces appear in Jaeger](#no-traces-appear-in-jaeger)
+    - [Conan lockfile error](#conan-lockfile-error)
+    - [CMake target not found](#cmake-target-not-found)
+  - [Architecture](#architecture)
+    - [Key files](#key-files)
+    - [Conditional compilation](#conditional-compilation)
+
+## Overview
+
+Rippled supports optional [OpenTelemetry](https://opentelemetry.io/) distributed tracing.
+When enabled, it instruments RPC requests with trace spans that are exported via
+OTLP/HTTP to an OpenTelemetry Collector, which forwards them to a tracing backend
+such as Jaeger.
+
+Telemetry is **off by default** at both compile time and runtime:
+
+- **Compile time**: The Conan option `telemetry` and CMake option `telemetry` must be set to `True`/`ON`.
+  When disabled, all tracing macros compile to `((void)0)` with zero overhead.
+- **Runtime**: The `[telemetry]` config section must set `enabled=1`.
+  When disabled at runtime, a no-op implementation is used.
+
+## Building with Telemetry
+
+### Summary
+
+Follow the same instructions as mentioned in [BUILD.md](../../BUILD.md) but with the following changes:
+
+1. Pass `-o telemetry=True` to `conan install` to pull the `opentelemetry-cpp` dependency.
+2. CMake will automatically pick up `telemetry=ON` from the Conan-generated toolchain.
+3. Build as usual.
+
+---
+
+### Build steps
+
+```bash
+cd /path/to/rippled
+rm -rf .build
+mkdir .build
+cd .build
+```
+
+#### Install dependencies
+
+The `telemetry` option adds `opentelemetry-cpp/1.18.0` as a dependency.
+If the Conan lockfile does not yet include this package, bypass it with `--lockfile=""`.
+
+```bash
+conan install .. \
+    --output-folder . \
+    --build missing \
+    --settings build_type=Debug \
+    -o telemetry=True \
+    -o tests=True \
+    -o xrpld=True \
+    --lockfile=""
+```
+
+> **Note**: The first build with telemetry may take longer as `opentelemetry-cpp`
+> and its transitive dependencies are compiled from source.
+
+#### Call CMake
+
+The Conan-generated toolchain file sets `telemetry=ON` automatically.
+No additional CMake flags are needed beyond the standard ones.
+
+```bash
+cmake .. -G Ninja \
+    -DCMAKE_TOOLCHAIN_FILE:FILEPATH=build/generators/conan_toolchain.cmake \
+    -DCMAKE_BUILD_TYPE=Debug \
+    -Dtests=ON -Dxrpld=ON
+```
+
+You should see in the CMake output:
+
+```
+-- OpenTelemetry tracing enabled
+```
+
+#### Build
+
+```bash
+cmake --build . --parallel $(nproc)
+```
+
+### Building without telemetry
+
+Omit the `-o telemetry=True` option (or pass `-o telemetry=False`).
+The `opentelemetry-cpp` dependency will not be downloaded,
+the `XRPL_ENABLE_TELEMETRY` preprocessor define will not be set,
+and all tracing macros will compile to no-ops.
+The resulting binary is identical to one built before telemetry support was added.
+
+## Runtime Configuration
+
+Add a `[telemetry]` section to your `xrpld.cfg` file:
+
+```ini
+[telemetry]
+enabled=1
+service_name=rippled
+endpoint=http://localhost:4318/v1/traces
+sampling_ratio=1.0
+trace_rpc=1
+trace_transactions=1
+trace_consensus=1
+trace_peer=0
+```
+
+### Configuration options
+
+| Option                | Type   | Default                           | Description                                        |
+| --------------------- | ------ | --------------------------------- | -------------------------------------------------- |
+| `enabled`             | int    | `0`                               | Enable (`1`) or disable (`0`) telemetry at runtime |
+| `service_name`        | string | `rippled`                         | Service name reported in traces                    |
+| `service_instance_id` | string | node public key                   | Unique instance identifier                         |
+| `exporter`            | string | `otlp_http`                       | Exporter type                                      |
+| `endpoint`            | string | `http://localhost:4318/v1/traces` | OTLP/HTTP collector endpoint                       |
+| `use_tls`             | int    | `0`                               | Enable TLS for the exporter connection             |
+| `tls_ca_cert`         | string | (empty)                           | Path to CA certificate for TLS                     |
+| `sampling_ratio`      | double | `1.0`                             | Fraction of traces to sample (`0.0` to `1.0`)      |
+| `batch_size`          | uint32 | `512`                             | Maximum spans per export batch                     |
+| `batch_delay_ms`      | uint32 | `5000`                            | Maximum delay (ms) before flushing a batch         |
+| `max_queue_size`      | uint32 | `2048`                            | Maximum spans queued in memory                     |
+| `trace_rpc`           | int    | `1`                               | Enable RPC request tracing                         |
+| `trace_transactions`  | int    | `1`                               | Enable transaction lifecycle tracing               |
+| `trace_consensus`     | int    | `1`                               | Enable consensus round tracing                     |
+| `trace_peer`          | int    | `0`                               | Enable peer message tracing (high volume)          |
+| `trace_ledger`        | int    | `1`                               | Enable ledger close tracing                        |
+
+## Observability Stack
+
+A Docker Compose stack is provided in `docker/telemetry/` with three services:
+
+| Service            | Port                                           | Purpose                                              |
+| ------------------ | ---------------------------------------------- | ---------------------------------------------------- |
+| **OTel Collector** | `4317` (gRPC), `4318` (HTTP), `13133` (health) | Receives OTLP spans, batches, and forwards to Jaeger |
+| **Jaeger**         | `16686` (UI)                                   | Trace storage and visualization                      |
+| **Grafana**        | `3000`                                         | Dashboards (Jaeger pre-configured as datasource)     |
+
+### Start the stack
+
+```bash
+docker compose -f docker/telemetry/docker-compose.yml up -d
+```
+
+### Verify the stack
+
+```bash
+# Collector health
+curl http://localhost:13133
+
+# Jaeger UI
+open http://localhost:16686
+
+# Grafana
+open http://localhost:3000
+```
+
+### View traces in Jaeger
+
+1. Open `http://localhost:16686` in a browser.
+2. Select the service name (e.g. `rippled`) from the **Service** dropdown.
+3. Click **Find Traces**.
+4. Click into any trace to see the span tree and attributes.
+
+Traced RPC operations produce a span hierarchy like:
+
+```
+rpc.request
+  └── rpc.command.server_info  (xrpl.rpc.command=server_info, xrpl.rpc.status=success)
+```
+
+Each span includes attributes:
+
+- `xrpl.rpc.command` — the RPC method name
+- `xrpl.rpc.version` — API version
+- `xrpl.rpc.role` — `admin` or `user`
+- `xrpl.rpc.status` — `success` or `error`
+
+## Running Tests
+
+Unit tests run with the telemetry-enabled build regardless of whether the
+observability stack is running. When no collector is available, the exporter
+silently drops spans with no impact on test results.
+
+```bash
+# Run all RPC tests
+./xrpld --unittest=RPCCall,ServerInfo,AccountTx,LedgerRPC,Transaction --unittest-jobs $(nproc)
+
+# Run the full test suite
+./xrpld --unittest --unittest-jobs $(nproc)
+```
+
+To generate traces during manual testing, start rippled in standalone mode:
+
+```bash
+./xrpld --conf /path/to/xrpld.cfg --standalone --start
+```
+
+Then send RPC requests:
+
+```bash
+curl -s -X POST http://127.0.0.1:5005/ \
+    -H "Content-Type: application/json" \
+    -d '{"method":"server_info","params":[{}]}'
+```
+
+## Troubleshooting
+
+### No traces appear in Jaeger
+
+1. Confirm the OTel Collector is running: `docker compose -f docker/telemetry/docker-compose.yml ps`
+2. Check collector logs for errors: `docker compose -f docker/telemetry/docker-compose.yml logs otel-collector`
+3. Confirm `[telemetry] enabled=1` is set in the rippled config.
+4. Confirm `endpoint` points to the correct collector address (`http://localhost:4318/v1/traces`).
+5. Wait for the batch delay to elapse (default `5000` ms) before checking Jaeger.
+
+### Conan lockfile error
+
+If you see `ERROR: Requirement 'opentelemetry-cpp/1.18.0' not in lockfile 'requires'`,
+the lockfile was generated without the telemetry dependency.
+Pass `--lockfile=""` to bypass the lockfile, or regenerate it with telemetry enabled.
+
+### CMake target not found
+
+If CMake reports that `opentelemetry-cpp` targets are not found,
+ensure you ran `conan install` with `-o telemetry=True` and that the
+Conan-generated toolchain file is being used.
+The Conan package provides a single umbrella target
+`opentelemetry-cpp::opentelemetry-cpp` (not individual component targets).
+
+## Architecture
+
+### Key files
+
+| File                                           | Purpose                                                     |
+| ---------------------------------------------- | ----------------------------------------------------------- |
+| `include/xrpl/telemetry/Telemetry.h`           | Abstract telemetry interface and `Setup` struct             |
+| `include/xrpl/telemetry/SpanGuard.h`           | RAII span guard (activates scope, ends span on destruction) |
+| `src/libxrpl/telemetry/Telemetry.cpp`          | OTel-backed implementation (`TelemetryImpl`)                |
+| `src/libxrpl/telemetry/TelemetryConfig.cpp`    | Config parser (`setup_Telemetry()`)                         |
+| `src/libxrpl/telemetry/NullTelemetry.cpp`      | No-op implementation (used when disabled)                   |
+| `src/xrpld/telemetry/TracingInstrumentation.h` | Convenience macros (`XRPL_TRACE_RPC`, etc.)                 |
+| `src/xrpld/rpc/detail/ServerHandler.cpp`       | RPC entry point instrumentation                             |
+| `src/xrpld/rpc/detail/RPCHandler.cpp`          | Per-command instrumentation                                 |
+| `docker/telemetry/docker-compose.yml`          | Observability stack (Collector + Jaeger + Grafana)          |
+| `docker/telemetry/otel-collector-config.yaml`  | OTel Collector pipeline configuration                       |
+
+### Conditional compilation
+
+All OpenTelemetry SDK headers are guarded behind `#ifdef XRPL_ENABLE_TELEMETRY`.
+The instrumentation macros in `TracingInstrumentation.h` compile to `((void)0)` when
+the define is absent.
+At runtime, if `enabled=0` is set in config (or the section is omitted), a
+`NullTelemetry` implementation is used that returns no-op spans.
+This two-layer approach ensures zero overhead when telemetry is not wanted.
--- a/docs/telemetry-runbook.md
+++ b/docs/telemetry-runbook.md
@@ -0,0 +1,466 @@
+# rippled Telemetry Operator Runbook
+
+## Overview
+
+rippled supports OpenTelemetry distributed tracing to provide visibility into RPC requests, transaction processing, and consensus rounds.
+
+## Quick Start
+
+### 1. Start the observability stack
+
+```bash
+docker compose -f docker/telemetry/docker-compose.yml up -d
+```
+
+This starts:
+
+- **OTel Collector** on ports 4317 (gRPC) and 4318 (HTTP)
+- **Jaeger** UI on http://localhost:16686
+- **Prometheus** on http://localhost:9090
+- **Loki** on http://localhost:3100 (log aggregation)
+- **Grafana** on http://localhost:3000
+
+### 2. Enable telemetry in rippled
+
+Add to your `xrpld.cfg`:
+
+```ini
+[telemetry]
+enabled=1
+endpoint=http://localhost:4318/v1/traces
+```
+
+### 3. Build with telemetry support
+
+```bash
+conan install . --build=missing -o telemetry=True
+cmake --preset default -Dtelemetry=ON
+cmake --build --preset default
+```
+
+## Configuration Reference
+
+| Option               | Default                           | Description                               |
+| -------------------- | --------------------------------- | ----------------------------------------- |
+| `enabled`            | `0`                               | Master switch for telemetry               |
+| `endpoint`           | `http://localhost:4318/v1/traces` | OTLP/HTTP endpoint                        |
+| `exporter`           | `otlp_http`                       | Exporter type                             |
+| `sampling_ratio`     | `1.0`                             | Head-based sampling ratio (0.0–1.0)       |
+| `trace_rpc`          | `1`                               | Enable RPC request tracing                |
+| `trace_transactions` | `1`                               | Enable transaction tracing                |
+| `trace_consensus`    | `1`                               | Enable consensus tracing                  |
+| `trace_peer`         | `0`                               | Enable peer message tracing (high volume) |
+| `trace_ledger`       | `1`                               | Enable ledger tracing                     |
+| `batch_size`         | `512`                             | Max spans per batch export                |
+| `batch_delay_ms`     | `5000`                            | Delay between batch exports               |
+| `max_queue_size`     | `2048`                            | Max spans queued before dropping          |
+| `use_tls`            | `0`                               | Use TLS for exporter connection           |
+| `tls_ca_cert`        | (empty)                           | Path to CA certificate bundle             |
+
+## Span Reference
+
+All spans instrumented in rippled, grouped by subsystem:
+
+### RPC Spans (Phase 2)
+
+| Span Name            | Source File           | Attributes                                                                                                                   | Description                                        |
+| -------------------- | --------------------- | ---------------------------------------------------------------------------------------------------------------------------- | -------------------------------------------------- |
+| `rpc.request`        | ServerHandler.cpp:271 | —                                                                                                                            | Top-level HTTP RPC request                         |
+| `rpc.process`        | ServerHandler.cpp:573 | —                                                                                                                            | RPC processing (child of rpc.request)              |
+| `rpc.ws_message`     | ServerHandler.cpp:384 | —                                                                                                                            | WebSocket RPC message                              |
+| `rpc.command.<name>` | RPCHandler.cpp:161    | `xrpl.rpc.command`, `xrpl.rpc.version`, `xrpl.rpc.role`, `xrpl.rpc.status`, `xrpl.rpc.duration_ms`, `xrpl.rpc.error_message` | Per-command span (e.g., `rpc.command.server_info`) |
+
+### Transaction Spans (Phase 3)
+
+| Span Name    | Source File         | Attributes                                                             | Description                           |
+| ------------ | ------------------- | ---------------------------------------------------------------------- | ------------------------------------- |
+| `tx.process` | NetworkOPs.cpp:1227 | `xrpl.tx.hash`, `xrpl.tx.local`, `xrpl.tx.path`                        | Transaction submission and processing |
+| `tx.receive` | PeerImp.cpp:1273    | `xrpl.peer.id`, `xrpl.tx.hash`, `xrpl.tx.suppressed`, `xrpl.tx.status` | Transaction received from peer relay  |
+| `tx.apply`   | BuildLedger.cpp:88  | `xrpl.ledger.seq`, `xrpl.ledger.tx_count`, `xrpl.ledger.tx_failed`     | Transaction set applied per ledger    |
+
+### Consensus Spans (Phase 4)
+
+| Span Name                   | Source File          | Attributes                                                                                                                    | Description                                |
+| --------------------------- | -------------------- | ----------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------ |
+| `consensus.proposal.send`   | RCLConsensus.cpp:177 | `xrpl.consensus.round`                                                                                                        | Consensus proposal broadcast               |
+| `consensus.ledger_close`    | RCLConsensus.cpp:282 | `xrpl.consensus.ledger.seq`, `xrpl.consensus.mode`                                                                            | Ledger close event                         |
+| `consensus.accept`          | RCLConsensus.cpp:395 | `xrpl.consensus.proposers`, `xrpl.consensus.round_time_ms`                                                                    | Ledger accepted by consensus               |
+| `consensus.validation.send` | RCLConsensus.cpp:753 | `xrpl.consensus.ledger.seq`, `xrpl.consensus.proposing`                                                                       | Validation sent after accept               |
+| `consensus.accept.apply`    | RCLConsensus.cpp:453 | `xrpl.consensus.close_time`, `close_time_correct`, `close_resolution_ms`, `state`, `proposing`, `round_time_ms`, `ledger.seq` | Ledger application with close time details |
+
+#### Close Time Queries (Tempo TraceQL)
+
+```
+# Find rounds where validators disagreed on close time
+{name="consensus.accept.apply"} | xrpl.consensus.close_time_correct = false
+
+# Find consensus failures (moved_on)
+{name="consensus.accept.apply"} | xrpl.consensus.state = "moved_on"
+
+# Find slow ledger applications (>5s)
+{name="consensus.accept.apply"} | duration > 5s
+
+# Find specific ledger's consensus details
+{name="consensus.accept.apply"} | xrpl.consensus.ledger.seq = 92345678
+```
+
+### Ledger Spans (Phase 5)
+
+| Span Name         | Source File          | Attributes                                                         | Description                   |
+| ----------------- | -------------------- | ------------------------------------------------------------------ | ----------------------------- |
+| `ledger.build`    | BuildLedger.cpp:31   | `xrpl.ledger.seq`, `xrpl.ledger.tx_count`, `xrpl.ledger.tx_failed` | Ledger build during consensus |
+| `ledger.validate` | LedgerMaster.cpp:915 | `xrpl.ledger.seq`, `xrpl.ledger.validations`                       | Ledger promoted to validated  |
+| `ledger.store`    | LedgerMaster.cpp:409 | `xrpl.ledger.seq`                                                  | Ledger stored in history      |
+
+### Peer Spans (Phase 5)
+
+| Span Name                 | Source File      | Attributes                                     | Description                   |
+| ------------------------- | ---------------- | ---------------------------------------------- | ----------------------------- |
+| `peer.proposal.receive`   | PeerImp.cpp:1667 | `xrpl.peer.id`, `xrpl.peer.proposal.trusted`   | Proposal received from peer   |
+| `peer.validation.receive` | PeerImp.cpp:2264 | `xrpl.peer.id`, `xrpl.peer.validation.trusted` | Validation received from peer |
+
+## Prometheus Metrics (Spanmetrics)
+
+The OTel Collector's spanmetrics connector automatically derives RED (Rate, Errors, Duration) metrics from every span. No custom metrics code is needed in rippled.
+
+### Generated Metric Names
+
+| Prometheus Metric                                  | Type      | Description                  |
+| -------------------------------------------------- | --------- | ---------------------------- |
+| `traces_span_metrics_calls_total`                  | Counter   | Total span invocations       |
+| `traces_span_metrics_duration_milliseconds_bucket` | Histogram | Latency distribution buckets |
+| `traces_span_metrics_duration_milliseconds_count`  | Histogram | Latency observation count    |
+| `traces_span_metrics_duration_milliseconds_sum`    | Histogram | Cumulative latency           |
+
+### Metric Labels
+
+Every metric carries these standard labels:
+
+| Label          | Source             | Example                                  |
+| -------------- | ------------------ | ---------------------------------------- |
+| `span_name`    | Span name          | `rpc.command.server_info`                |
+| `status_code`  | Span status        | `STATUS_CODE_UNSET`, `STATUS_CODE_ERROR` |
+| `service_name` | Resource attribute | `rippled`                                |
+| `span_kind`    | Span kind          | `SPAN_KIND_INTERNAL`                     |
+
+Additionally, span attributes configured as dimensions in the collector become metric labels (dots → underscores):
+
+| Span Attribute                 | Metric Label                   | Applies To                      |
+| ------------------------------ | ------------------------------ | ------------------------------- |
+| `xrpl.rpc.command`             | `xrpl_rpc_command`             | `rpc.command.*` spans           |
+| `xrpl.rpc.status`              | `xrpl_rpc_status`              | `rpc.command.*` spans           |
+| `xrpl.consensus.mode`          | `xrpl_consensus_mode`          | `consensus.ledger_close` spans  |
+| `xrpl.tx.local`                | `xrpl_tx_local`                | `tx.process` spans              |
+| `xrpl.peer.proposal.trusted`   | `xrpl_peer_proposal_trusted`   | `peer.proposal.receive` spans   |
+| `xrpl.peer.validation.trusted` | `xrpl_peer_validation_trusted` | `peer.validation.receive` spans |
+
+### Histogram Buckets
+
+Configured in `otel-collector-config.yaml`:
+
+```
+1ms, 5ms, 10ms, 25ms, 50ms, 100ms, 250ms, 500ms, 1s, 5s
+```
+
+## System Metrics (beast::insight via OTel native)
+
+rippled has a built-in metrics framework (`beast::insight`) that exports metrics natively via OTLP/HTTP. These complement the span-derived RED metrics by providing system-level gauges, counters, and timers that don't map to individual trace spans.
+
+### Configuration
+
+Add to `xrpld.cfg`:
+
+```ini
+[insight]
+server=otel
+endpoint=http://localhost:4318/v1/metrics
+prefix=rippled
+```
+
+The OTel Collector receives these via the OTLP receiver (same endpoint as traces, port 4318) and exports them to Prometheus alongside spanmetrics.
+
+#### StatsD fallback (backward compatibility)
+
+The legacy StatsD backend is still available:
+
+```ini
+[insight]
+server=statsd
+address=127.0.0.1:8125
+prefix=rippled
+```
+
+When using StatsD, uncomment the `statsd` receiver in `otel-collector-config.yaml` and add port `8125:8125/udp` to the docker-compose otel-collector service.
+
+### Metric Reference
+
+#### Gauges
+
+| Prometheus Metric                             | Source                    | Description                                                                |
+| --------------------------------------------- | ------------------------- | -------------------------------------------------------------------------- |
+| `rippled_LedgerMaster_Validated_Ledger_Age`   | LedgerMaster.h:373        | Age of validated ledger (seconds)                                          |
+| `rippled_LedgerMaster_Published_Ledger_Age`   | LedgerMaster.h:374        | Age of published ledger (seconds)                                          |
+| `rippled_State_Accounting_{Mode}_duration`    | NetworkOPs.cpp:774        | Time in each operating mode (Disconnected/Connected/Syncing/Tracking/Full) |
+| `rippled_State_Accounting_{Mode}_transitions` | NetworkOPs.cpp:780        | Transition count per mode                                                  |
+| `rippled_Peer_Finder_Active_Inbound_Peers`    | PeerfinderManager.cpp:214 | Active inbound peer connections                                            |
+| `rippled_Peer_Finder_Active_Outbound_Peers`   | PeerfinderManager.cpp:215 | Active outbound peer connections                                           |
+| `rippled_Overlay_Peer_Disconnects`            | OverlayImpl.h:557         | Peer disconnect count                                                      |
+| `rippled_job_count`                           | JobQueue.cpp:26           | Current job queue depth                                                    |
+| `rippled_{category}_Bytes_In/Out`             | OverlayImpl.h:535         | Overlay traffic bytes per category (57 categories)                         |
+| `rippled_{category}_Messages_In/Out`          | OverlayImpl.h:535         | Overlay traffic messages per category                                      |
+
+#### Counters
+
+| Prometheus Metric                 | Source                | Description                    |
+| --------------------------------- | --------------------- | ------------------------------ |
+| `rippled_rpc_requests`            | ServerHandler.cpp:108 | Total RPC request count        |
+| `rippled_ledger_fetches`          | InboundLedgers.cpp:44 | Ledger fetch request count     |
+| `rippled_ledger_history_mismatch` | LedgerHistory.cpp:16  | Ledger hash mismatch count     |
+| `rippled_warn`                    | Logic.h:33            | Resource manager warning count |
+| `rippled_drop`                    | Logic.h:34            | Resource manager drop count    |
+
+#### Histograms (from StatsD timers)
+
+| Prometheus Metric       | Source                | Description                    |
+| ----------------------- | --------------------- | ------------------------------ |
+| `rippled_rpc_time`      | ServerHandler.cpp:110 | RPC response time (ms)         |
+| `rippled_rpc_size`      | ServerHandler.cpp:109 | RPC response size (bytes)      |
+| `rippled_ios_latency`   | Application.cpp:438   | I/O service loop latency (ms)  |
+| `rippled_pathfind_fast` | PathRequests.h:23     | Fast pathfinding duration (ms) |
+| `rippled_pathfind_full` | PathRequests.h:24     | Full pathfinding duration (ms) |
+
+## Grafana Dashboards
+
+Eight dashboards are pre-provisioned in `docker/telemetry/grafana/dashboards/`:
+
+### RPC Performance (`rippled-rpc-perf`)
+
+| Panel                       | Type       | PromQL                                                                                                                                             | Labels Used                       |
+| --------------------------- | ---------- | -------------------------------------------------------------------------------------------------------------------------------------------------- | --------------------------------- |
+| RPC Request Rate by Command | timeseries | `sum by (xrpl_rpc_command) (rate(traces_span_metrics_calls_total{span_name=~"rpc.command.*"}[5m]))`                                                | `xrpl_rpc_command`                |
+| RPC Latency p95 by Command  | timeseries | `histogram_quantile(0.95, sum by (le, xrpl_rpc_command) (rate(traces_span_metrics_duration_milliseconds_bucket{span_name=~"rpc.command.*"}[5m])))` | `xrpl_rpc_command`                |
+| RPC Error Rate              | bargauge   | Error spans / total spans × 100, grouped by `xrpl_rpc_command`                                                                                     | `xrpl_rpc_command`, `status_code` |
+| RPC Latency Heatmap         | heatmap    | `sum(increase(traces_span_metrics_duration_milliseconds_bucket{span_name=~"rpc.command.*"}[5m])) by (le)`                                          | `le` (bucket boundaries)          |
+| Overall RPC Throughput      | timeseries | `rpc.request` + `rpc.process` rate                                                                                                                 | —                                 |
+| RPC Success vs Error        | timeseries | by `status_code` (UNSET vs ERROR)                                                                                                                  | `status_code`                     |
+| Top Commands by Volume      | bargauge   | `topk(10, ...)` by `xrpl_rpc_command`                                                                                                              | `xrpl_rpc_command`                |
+| WebSocket Message Rate      | stat       | `rpc.ws_message` rate                                                                                                                              | —                                 |
+
+### Transaction Overview (`rippled-transactions`)
+
+| Panel                             | Type       | PromQL                                                                                       | Labels Used     |
+| --------------------------------- | ---------- | -------------------------------------------------------------------------------------------- | --------------- |
+| Transaction Processing Rate       | timeseries | `rate(traces_span_metrics_calls_total{span_name="tx.process"}[5m])` and `tx.receive`         | `span_name`     |
+| Transaction Processing Latency    | timeseries | `histogram_quantile(0.95 / 0.50, ... {span_name="tx.process"})`                              | —               |
+| Transaction Path Distribution     | piechart   | `sum by (xrpl_tx_local) (rate(traces_span_metrics_calls_total{span_name="tx.process"}[5m]))` | `xrpl_tx_local` |
+| Transaction Receive vs Suppressed | timeseries | `rate(traces_span_metrics_calls_total{span_name="tx.receive"}[5m])`                          | —               |
+| TX Processing Duration Heatmap    | heatmap    | `tx.process` histogram buckets                                                               | `le`            |
+| TX Apply Duration per Ledger      | timeseries | p95/p50 of `tx.apply`                                                                        | —               |
+| Peer TX Receive Rate              | timeseries | `tx.receive` rate                                                                            | —               |
+| TX Apply Failed Rate              | stat       | `tx.apply` with `STATUS_CODE_ERROR`                                                          | `status_code`   |
+
+### Consensus Health (`rippled-consensus`)
+
+| Panel                         | Type       | PromQL                                                                             | Labels Used           |
+| ----------------------------- | ---------- | ---------------------------------------------------------------------------------- | --------------------- |
+| Consensus Round Duration      | timeseries | `histogram_quantile(0.95 / 0.50, ... {span_name="consensus.accept"})`              | —                     |
+| Consensus Proposals Sent Rate | timeseries | `rate(traces_span_metrics_calls_total{span_name="consensus.proposal.send"}[5m])`   | —                     |
+| Ledger Close Duration         | timeseries | `histogram_quantile(0.95, ... {span_name="consensus.ledger_close"})`               | —                     |
+| Validation Send Rate          | stat       | `rate(traces_span_metrics_calls_total{span_name="consensus.validation.send"}[5m])` | —                     |
+| Ledger Apply Duration         | timeseries | `histogram_quantile(0.95 / 0.50, ... {span_name="consensus.accept.apply"})`        | —                     |
+| Close Time Agreement          | timeseries | `rate(traces_span_metrics_calls_total{span_name="consensus.accept.apply"}[5m])`    | —                     |
+| Consensus Mode Over Time      | timeseries | `consensus.ledger_close` by `xrpl_consensus_mode`                                  | `xrpl_consensus_mode` |
+| Accept vs Close Rate          | timeseries | `consensus.accept` vs `consensus.ledger_close` rate                                | —                     |
+| Validation vs Close Rate      | timeseries | `consensus.validation.send` vs `consensus.ledger_close`                            | —                     |
+| Accept Duration Heatmap       | heatmap    | `consensus.accept` histogram buckets                                               | `le`                  |
+
+### Ledger Operations (`rippled-ledger-ops`)
+
+| Panel                   | Type       | PromQL                                         | Labels Used |
+| ----------------------- | ---------- | ---------------------------------------------- | ----------- |
+| Ledger Build Rate       | stat       | `ledger.build` call rate                       | —           |
+| Ledger Build Duration   | timeseries | p95/p50 of `ledger.build`                      | —           |
+| Ledger Validation Rate  | stat       | `ledger.validate` call rate                    | —           |
+| Build Duration Heatmap  | heatmap    | `ledger.build` histogram buckets               | `le`        |
+| TX Apply Duration       | timeseries | p95/p50 of `tx.apply`                          | —           |
+| TX Apply Rate           | timeseries | `tx.apply` call rate                           | —           |
+| Ledger Store Rate       | stat       | `ledger.store` call rate                       | —           |
+| Build vs Close Duration | timeseries | p95 `ledger.build` vs `consensus.ledger_close` | —           |
+
+### Peer Network (`rippled-peer-net`)
+
+Requires `trace_peer=1` in the `[telemetry]` config section.
+
+| Panel                            | Type       | PromQL                            | Labels Used                    |
+| -------------------------------- | ---------- | --------------------------------- | ------------------------------ |
+| Proposal Receive Rate            | timeseries | `peer.proposal.receive` rate      | —                              |
+| Validation Receive Rate          | timeseries | `peer.validation.receive` rate    | —                              |
+| Proposals Trusted vs Untrusted   | piechart   | by `xrpl_peer_proposal_trusted`   | `xrpl_peer_proposal_trusted`   |
+| Validations Trusted vs Untrusted | piechart   | by `xrpl_peer_validation_trusted` | `xrpl_peer_validation_trusted` |
+
+### Node Health — System Metrics (`rippled-system-node-health`)
+
+| Panel                      | Type       | PromQL                                                 | Labels Used |
+| -------------------------- | ---------- | ------------------------------------------------------ | ----------- |
+| Validated Ledger Age       | stat       | `rippled_LedgerMaster_Validated_Ledger_Age`            | —           |
+| Published Ledger Age       | stat       | `rippled_LedgerMaster_Published_Ledger_Age`            | —           |
+| Operating Mode Duration    | timeseries | `rippled_State_Accounting_*_duration`                  | —           |
+| Operating Mode Transitions | timeseries | `rippled_State_Accounting_*_transitions`               | —           |
+| I/O Latency                | timeseries | `histogram_quantile(0.95, rippled_ios_latency_bucket)` | —           |
+| Job Queue Depth            | timeseries | `rippled_job_count`                                    | —           |
+| Ledger Fetch Rate          | stat       | `rate(rippled_ledger_fetches[5m])`                     | —           |
+| Ledger History Mismatches  | stat       | `rate(rippled_ledger_history_mismatch[5m])`            | —           |
+
+### Network Traffic — System Metrics (`rippled-system-network`)
+
+| Panel                  | Type       | PromQL                                 | Labels Used |
+| ---------------------- | ---------- | -------------------------------------- | ----------- |
+| Active Peers           | timeseries | `rippled_Peer_Finder_Active_*_Peers`   | —           |
+| Peer Disconnects       | timeseries | `rippled_Overlay_Peer_Disconnects`     | —           |
+| Total Network Bytes    | timeseries | `rippled_total_Bytes_In/Out`           | —           |
+| Total Network Messages | timeseries | `rippled_total_Messages_In/Out`        | —           |
+| Transaction Traffic    | timeseries | `rippled_transactions_Messages_In/Out` | —           |
+| Proposal Traffic       | timeseries | `rippled_proposals_Messages_In/Out`    | —           |
+| Validation Traffic     | timeseries | `rippled_validations_Messages_In/Out`  | —           |
+| Traffic by Category    | bargauge   | `topk(10, rippled_*_Bytes_In)`         | —           |
+
+### RPC & Pathfinding — System Metrics (`rippled-system-rpc`)
+
+| Panel                     | Type       | PromQL                                                   | Labels Used |
+| ------------------------- | ---------- | -------------------------------------------------------- | ----------- |
+| RPC Request Rate          | stat       | `rate(rippled_rpc_requests[5m])`                         | —           |
+| RPC Response Time         | timeseries | `histogram_quantile(0.95, rippled_rpc_time_bucket)`      | —           |
+| RPC Response Size         | timeseries | `histogram_quantile(0.95, rippled_rpc_size_bucket)`      | —           |
+| RPC Response Time Heatmap | heatmap    | `rippled_rpc_time_bucket`                                | —           |
+| Pathfinding Fast Duration | timeseries | `histogram_quantile(0.95, rippled_pathfind_fast_bucket)` | —           |
+| Pathfinding Full Duration | timeseries | `histogram_quantile(0.95, rippled_pathfind_full_bucket)` | —           |
+| Resource Warnings Rate    | stat       | `rate(rippled_warn[5m])`                                 | —           |
+| Resource Drops Rate       | stat       | `rate(rippled_drop[5m])`                                 | —           |
+
+### Span → Metric → Dashboard Summary
+
+| Span Name                   | Prometheus Metric Filter                  | Grafana Dashboard                             |
+| --------------------------- | ----------------------------------------- | --------------------------------------------- |
+| `rpc.request`               | `{span_name="rpc.request"}`               | RPC Performance (Overall Throughput)          |
+| `rpc.process`               | `{span_name="rpc.process"}`               | RPC Performance (Overall Throughput)          |
+| `rpc.ws_message`            | `{span_name="rpc.ws_message"}`            | RPC Performance (WebSocket Rate)              |
+| `rpc.command.*`             | `{span_name=~"rpc.command.*"}`            | RPC Performance (Rate, Latency, Error, Top)   |
+| `tx.process`                | `{span_name="tx.process"}`                | Transaction Overview (Rate, Latency, Heatmap) |
+| `tx.receive`                | `{span_name="tx.receive"}`                | Transaction Overview (Rate, Receive)          |
+| `tx.apply`                  | `{span_name="tx.apply"}`                  | Transaction Overview + Ledger Ops (Apply)     |
+| `consensus.accept`          | `{span_name="consensus.accept"}`          | Consensus Health (Duration, Rate, Heatmap)    |
+| `consensus.proposal.send`   | `{span_name="consensus.proposal.send"}`   | Consensus Health (Proposals Rate)             |
+| `consensus.ledger_close`    | `{span_name="consensus.ledger_close"}`    | Consensus Health (Close, Mode)                |
+| `consensus.validation.send` | `{span_name="consensus.validation.send"}` | Consensus Health (Validation Rate)            |
+| `consensus.accept.apply`    | `{span_name="consensus.accept.apply"}`    | Consensus Health (Apply Duration, Close Time) |
+| `ledger.build`              | `{span_name="ledger.build"}`              | Ledger Ops (Build Rate, Duration, Heatmap)    |
+| `ledger.validate`           | `{span_name="ledger.validate"}`           | Ledger Ops (Validation Rate)                  |
+| `ledger.store`              | `{span_name="ledger.store"}`              | Ledger Ops (Store Rate)                       |
+| `peer.proposal.receive`     | `{span_name="peer.proposal.receive"}`     | Peer Network (Rate, Trusted/Untrusted)        |
+| `peer.validation.receive`   | `{span_name="peer.validation.receive"}`   | Peer Network (Rate, Trusted/Untrusted)        |
+
+## Log-Trace Correlation (Phase 8)
+
+When rippled is built with `telemetry=ON`, log lines emitted within an active OpenTelemetry span automatically include `trace_id` and `span_id` fields:
+
+```
+2024-01-15T10:30:45.123Z LedgerMaster:NFO trace_id=abc123def456789012345678abcdef01 span_id=0123456789abcdef Validated ledger 42
+```
+
+This enables bidirectional navigation between logs and traces in Grafana:
+
+- **Tempo -> Loki**: Click "Logs for this trace" on any trace in Grafana Tempo to see all log lines from that trace.
+- **Loki -> Tempo**: Click the `TraceID` derived field link on any log line containing `trace_id=` to jump to the full trace in Tempo.
+
+### Log Ingestion Pipeline
+
+Log files are ingested by the OTel Collector's `filelog` receiver, which tails `debug.log` files and parses them with a regex that extracts `timestamp`, `partition`, `severity`, `trace_id`, `span_id`, and `message` fields. Parsed entries are exported to Grafana Loki.
+
+### LogQL Query Examples
+
+```logql
+# Find all logs for a specific trace
+{job="rippled"} |= "trace_id=abc123def456789012345678abcdef01"
+
+# Error logs with trace context (log lines with ERR severity that have a trace_id)
+{job="rippled"} |= "ERR" |= "trace_id="
+
+# All logs from a specific partition that were emitted during a span
+{job="rippled"} |= "LedgerMaster" | regexp `trace_id=(?P<trace_id>[a-f0-9]+)` | trace_id != ""
+
+# Logs from the last hour containing trace context
+{job="rippled"} |= "trace_id=" | regexp `(?P<partition>\S+):(?P<sev>\S+)\s+trace_id=(?P<tid>[a-f0-9]+)`
+
+# Count of traced vs untraced log lines
+count_over_time({job="rippled"} |= "trace_id=" [5m])
+```
+
+### Verifying Log Correlation
+
+1. Start the observability stack and rippled with telemetry enabled.
+2. Send an RPC request: `curl http://localhost:5005 -d '{"method":"server_info"}'`
+3. Check the debug.log for `trace_id=` entries: `grep trace_id= /path/to/debug.log`
+4. Open Grafana at http://localhost:3000 -> Explore -> Loki and search for `{job="rippled"} |= "trace_id="`.
+5. Click the TraceID link to navigate to the corresponding trace in Tempo.
+
+## Troubleshooting
+
+### No traces appearing in Jaeger
+
+1. Check rippled logs for `Telemetry starting` message
+2. Verify `enabled=1` in the `[telemetry]` config section
+3. Test collector connectivity: `curl -v http://localhost:4318/v1/traces`
+4. Check collector logs: `docker compose logs otel-collector`
+
+### No system metrics in Prometheus
+
+1. Check rippled logs for `OTelCollector starting` message
+2. Verify `server=otel` in the `[insight]` config section
+3. Verify the endpoint in `[insight]` points to the OTLP/HTTP port (default: `http://localhost:4318/v1/metrics`)
+4. Check that the `otlp` receiver is in the metrics pipeline receivers in `otel-collector-config.yaml`
+5. Query Prometheus directly: `curl 'http://localhost:9090/api/v1/query?query=rippled_job_count'`
+
+### High memory usage
+
+- Reduce `sampling_ratio` (e.g., `0.1` for 10% sampling)
+- Reduce `max_queue_size` and `batch_size`
+- Disable high-volume trace categories: `trace_peer=0`
+
+### Collector connection failures
+
+- Verify endpoint URL matches collector address
+- Check firewall rules for ports 4317/4318
+- If using TLS, verify certificate path with `tls_ca_cert`
+
+### No trace_id in log output
+
+- Verify rippled was built with `telemetry=ON` (the `XRPL_ENABLE_TELEMETRY` preprocessor flag)
+- Verify `enabled=1` in the `[telemetry]` config section
+- Log lines only contain `trace_id`/`span_id` when emitted inside an active span — background logs outside of RPC/consensus/transaction processing will not have trace context
+- Check that the specific trace category is enabled (e.g., `trace_rpc=1`)
+
+### No logs in Loki
+
+- Verify the log file mount in docker-compose.yml points to the correct rippled log directory
+- Check OTel Collector logs for filelog receiver errors: `docker compose logs otel-collector`
+- Verify Loki is running: `curl http://localhost:3100/ready`
+- Check the filelog receiver glob pattern matches your log file paths
+
+## Performance Tuning
+
+| Scenario                 | Recommendation                                    |
+| ------------------------ | ------------------------------------------------- |
+| Production mainnet       | `sampling_ratio=0.01`, `trace_peer=0`             |
+| Testnet/devnet           | `sampling_ratio=1.0` (full tracing)               |
+| Debugging specific issue | `sampling_ratio=1.0` temporarily                  |
+| High-throughput node     | Increase `batch_size=1024`, `max_queue_size=4096` |
+
+## Disabling Telemetry
+
+Set `enabled=0` in config (runtime disable) or build without the flag:
+
+```bash
+cmake --preset default -Dtelemetry=OFF
+```
+
+When telemetry is compiled out, all trace macros expand to no-ops with zero overhead.
--- a/include/xrpl/basics/MallocTrim.h
+++ b/include/xrpl/basics/MallocTrim.h
@@ -1,73 +0,0 @@
-#pragma once
-
-#include <xrpl/beast/utility/Journal.h>
-
-#include <chrono>
-#include <cstdint>
-#include <string_view>
-
-namespace xrpl {
-
-// cSpell:ignore ptmalloc
-
-// -----------------------------------------------------------------------------
-// Allocator interaction note:
-// - This facility invokes glibc's malloc_trim(0) on Linux/glibc to request that
-//   ptmalloc return free heap pages to the OS.
-// - If an alternative allocator (e.g. jemalloc or tcmalloc) is linked or
-//   preloaded (LD_PRELOAD), calling glibc's malloc_trim typically has no effect
-//   on the *active* heap. The call is harmless but may not reclaim memory
-//   because those allocators manage their own arenas.
-// - Only glibc sbrk/arena space is eligible for trimming; large mmap-backed
-//   allocations are usually returned to the OS on free regardless of trimming.
-// - Call at known reclamation points (e.g., after cache sweeps / online delete)
-//   and consider rate limiting to avoid churn.
-// -----------------------------------------------------------------------------
-
-struct MallocTrimReport
-{
-    bool supported{false};
-    int trimResult{-1};
-    std::int64_t rssBeforeKB{-1};
-    std::int64_t rssAfterKB{-1};
-    std::chrono::microseconds durationUs{-1};
-    std::int64_t minfltDelta{-1};
-    std::int64_t majfltDelta{-1};
-
-    [[nodiscard]] std::int64_t
-    deltaKB() const noexcept
-    {
-        if (rssBeforeKB < 0 || rssAfterKB < 0)
-            return 0;
-        return rssAfterKB - rssBeforeKB;
-    }
-};
-
-/**
- * @brief Attempt to return freed memory to the operating system.
- *
- * On Linux with glibc malloc, this issues ::malloc_trim(0), which may release
- * free space from ptmalloc arenas back to the kernel. On other platforms, or if
- * a different allocator is in use, this function is a no-op and the report will
- * indicate that trimming is unsupported or had no effect.
- *
- * @param tag     Identifier for logging/debugging purposes.
- * @param journal Journal for diagnostic logging.
- * @return Report containing before/after metrics and the trim result.
- *
- * @note If an alternative allocator (jemalloc/tcmalloc) is linked or preloaded,
- *       calling glibc's malloc_trim may have no effect on the active heap. The
- *       call is harmless but typically does not reclaim memory under those
- *       allocators.
- *
- * @note Only memory served from glibc's sbrk/arena heaps is eligible for trim.
- *       Large allocations satisfied via mmap are usually returned on free
- *       independently of trimming.
- *
- * @note Intended for use after operations that free significant memory (e.g.,
- *       cache sweeps, ledger cleanup, online delete). Consider rate limiting.
- */
-MallocTrimReport
-mallocTrim(std::string_view tag, beast::Journal journal);
-
-}  // namespace xrpl
--- a/include/xrpl/beast/insight/Insight.h
+++ b/include/xrpl/beast/insight/Insight.h
@@ -12,4 +12,5 @@
 #include <xrpl/beast/insight/Hook.h>
 #include <xrpl/beast/insight/HookImpl.h>
 #include <xrpl/beast/insight/NullCollector.h>
+#include <xrpl/beast/insight/OTelCollector.h>
 #include <xrpl/beast/insight/StatsDCollector.h>
--- a/include/xrpl/beast/insight/OTelCollector.h
+++ b/include/xrpl/beast/insight/OTelCollector.h
@@ -0,0 +1,92 @@
+#pragma once
+
+/**
+ * @file OTelCollector.h
+ * @brief OpenTelemetry-based implementation of the beast::insight::Collector
+ *        interface for native OTLP metric export.
+ *
+ * When XRPL_ENABLE_TELEMETRY is defined, OTelCollector maps each
+ * beast::insight instrument type (Counter, Gauge, Event, Meter, Hook) to
+ * the corresponding OpenTelemetry Metrics SDK instrument and exports
+ * them via OTLP/HTTP to an OpenTelemetry Collector.
+ *
+ * When XRPL_ENABLE_TELEMETRY is NOT defined, OTelCollector::New() returns
+ * a NullCollector so the binary compiles without OTel dependencies.
+ *
+ * Dependency diagram:
+ *
+ *   +-----------------+     +-------------------+
+ *   | Collector (ABC) |<----| OTelCollector     |
+ *   +-----------------+     | (public header)   |
+ *         ^                 +-------------------+
+ *         |                          |
+ *   +-----------------+     +-------------------+
+ *   | NullCollector   |     | OTelCollectorImp  |
+ *   | (fallback when  |     | (impl in .cpp,    |
+ *   |  no telemetry)  |     |  uses OTel SDK)   |
+ *   +-----------------+     +-------------------+
+ *                                    |
+ *                           +-------------------+
+ *                           | OTel Metrics SDK  |
+ *                           | MeterProvider     |
+ *                           | OTLP HTTP Metric  |
+ *                           | Exporter          |
+ *                           +-------------------+
+ */
+
+#include <xrpl/beast/insight/Collector.h>
+#include <xrpl/beast/utility/Journal.h>
+
+#include <memory>
+#include <string>
+
+namespace beast {
+namespace insight {
+
+/**
+ * @brief A Collector that exports metrics via OpenTelemetry OTLP/HTTP.
+ *
+ * Replaces StatsD-based metric collection with native OTel Metrics SDK
+ * instruments. Each beast::insight instrument maps to an OTel equivalent:
+ *
+ *   - Counter  -> OTel Counter<int64_t>
+ *   - Gauge    -> OTel ObservableGauge<int64_t> (async callback)
+ *   - Event    -> OTel Histogram<double> (duration in milliseconds)
+ *   - Meter    -> OTel Counter<uint64_t> (monotonic, unsigned)
+ *   - Hook     -> Called by PeriodicMetricReader at collection time
+ *
+ * @see StatsDCollector for the StatsD-based alternative.
+ * @see NullCollector for the no-op fallback.
+ */
+class OTelCollector : public Collector
+{
+public:
+    explicit OTelCollector() = default;
+
+    /**
+     * @brief Factory method to create an OTelCollector instance.
+     *
+     * When XRPL_ENABLE_TELEMETRY is defined, creates a real OTel-backed
+     * collector that exports metrics via OTLP/HTTP. When telemetry is
+     * disabled at compile time, returns a NullCollector.
+     *
+     * @param endpoint    OTLP/HTTP metrics endpoint URL
+     *                    (e.g. "http://localhost:4318/v1/metrics").
+     * @param prefix      Prefix prepended to all metric names
+     *                    (e.g. "rippled").
+     * @param instanceId  Unique identifier for this node instance,
+     *                    emitted as the `service.instance.id` OTel
+     *                    resource attribute. Defaults to empty string
+     *                    (attribute omitted when empty).
+     * @param journal     Journal for logging.
+     * @return Shared pointer to the created Collector.
+     */
+    static std::shared_ptr<Collector>
+    New(std::string const& endpoint,
+        std::string const& prefix,
+        std::string const& instanceId,
+        Journal journal);
+};
+
+}  // namespace insight
+}  // namespace beast
--- a/include/xrpl/core/Coro.ipp
+++ b/include/xrpl/core/Coro.ipp
@@ -70,24 +70,14 @@ JobQueue::Coro::resume()
        running_ = true;
    }
    {
-        std::lock_guard lk(jq_.m_mutex);
+        std::lock_guard lock(jq_.m_mutex);
        --jq_.nSuspend_;
    }
    auto saved = detail::getLocalValues().release();
    detail::getLocalValues().reset(&lvs_);
    std::lock_guard lock(mutex_);
-    // A late resume() can arrive after the coroutine has already completed.
-    // This is an expected (if rare) outcome of the race condition documented
-    // in JobQueue.h:354-377 where post() schedules a resume job before the
-    // coroutine yields — the mutex serializes access, but by the time this
-    // resume() acquires the lock the coroutine may have already run to
-    // completion. Calling operator() on a completed boost::coroutine2 is
-    // undefined behavior, so we must check and skip invoking the coroutine
-    // body if it has already completed.
-    if (coro_)
-    {
-        coro_();
-    }
+    XRPL_ASSERT(static_cast<bool>(coro_), "xrpl::JobQueue::Coro::resume : is runnable");
+    coro_();
    detail::getLocalValues().release();
    detail::getLocalValues().reset(saved);
    std::lock_guard lk(mutex_run_);
--- a/include/xrpl/core/JobQueue.h
+++ b/include/xrpl/core/JobQueue.h
@@ -99,8 +99,8 @@ public:
            Effects:
               The coroutine continues execution from where it last left off
                 using this same thread.
-               If the coroutine has already completed, returns immediately
-                 (handles the documented post-before-yield race condition).
+            Undefined behavior if called after the coroutine has completed
+              with a return (as opposed to a yield()).
            Undefined behavior if resume() or post() called consecutively
              without a corresponding yield.
        */
@@ -357,10 +357,8 @@ private:
    If the post() job were to be executed before yield(), undefined behavior
    would occur. The lock ensures that coro_ is not called again until we exit
    the coroutine. At which point a scheduled resume() job waiting on the lock
-    would gain entry. resume() checks if the coroutine has already completed
-    (coro_ converts to false) and, if so, skips invoking operator() since
-    calling operator() on a completed boost::coroutine2 pull_type is undefined
-    behavior.
+    would gain entry, harmlessly call coro_ and immediately return as we have
+    already completed the coroutine.

    The race condition occurs as follows:

--- a/include/xrpl/core/ServiceRegistry.h
+++ b/include/xrpl/core/ServiceRegistry.h
@@ -3,6 +3,7 @@
 #include <xrpl/basics/Blob.h>
 #include <xrpl/basics/SHAMapHash.h>
 #include <xrpl/basics/TaggedCache.h>
+#include <xrpl/ledger/CachedSLEs.h>

 #include <boost/asio.hpp>

@@ -18,24 +19,13 @@ class Manager;
 namespace perf {
 class PerfLog;
 }
+namespace telemetry {
+class Telemetry;
+}

 // This is temporary until we migrate all code to use ServiceRegistry.
 class Application;

-template <
-    class Key,
-    class T,
-    bool IsKeyCache,
-    class SharedWeakUnionPointer,
-    class SharedPointerType,
-    class Hash,
-    class KeyEqual,
-    class Mutex>
-class TaggedCache;
-class STLedgerEntry;
-using SLE = STLedgerEntry;
-using CachedSLEs = TaggedCache<uint256, SLE const>;
-
 // Forward declarations
 class AcceptedLedger;
 class AmendmentTable;
@@ -58,7 +48,7 @@ class NetworkIDService;
 class OpenLedger;
 class OrderBookDB;
 class Overlay;
-class PathRequestManager;
+class PathRequests;
 class PeerReservationTable;
 class PendingSaves;
 class RelationalDatabase;
@@ -102,7 +92,7 @@ public:
    getNodeFamily() = 0;

    virtual TimeKeeper&
-    getTimeKeeper() = 0;
+    timeKeeper() = 0;

    virtual JobQueue&
    getJobQueue() = 0;
@@ -111,7 +101,7 @@ public:
    getTempNodeCache() = 0;

    virtual CachedSLEs&
-    getCachedSLEs() = 0;
+    cachedSLEs() = 0;

    virtual NetworkIDService&
    getNetworkIDService() = 0;
@@ -133,26 +123,26 @@ public:
    getValidations() = 0;

    virtual ValidatorList&
-    getValidators() = 0;
+    validators() = 0;

    virtual ValidatorSite&
-    getValidatorSites() = 0;
+    validatorSites() = 0;

    virtual ManifestCache&
-    getValidatorManifests() = 0;
+    validatorManifests() = 0;

    virtual ManifestCache&
-    getPublisherManifests() = 0;
+    publisherManifests() = 0;

    // Network services
    virtual Overlay&
-    getOverlay() = 0;
+    overlay() = 0;

    virtual Cluster&
-    getCluster() = 0;
+    cluster() = 0;

    virtual PeerReservationTable&
-    getPeerReservations() = 0;
+    peerReservations() = 0;

    virtual Resource::Manager&
    getResourceManager() = 0;
@@ -187,13 +177,13 @@ public:
    getLedgerReplayer() = 0;

    virtual PendingSaves&
-    getPendingSaves() = 0;
+    pendingSaves() = 0;

    virtual OpenLedger&
-    getOpenLedger() = 0;
+    openLedger() = 0;

    virtual OpenLedger const&
-    getOpenLedger() const = 0;
+    openLedger() const = 0;

    // Transaction and operation services
    virtual NetworkOPs&
@@ -208,8 +198,8 @@ public:
    virtual TxQ&
    getTxQ() = 0;

-    virtual PathRequestManager&
-    getPathRequestManager() = 0;
+    virtual PathRequests&
+    getPathRequests() = 0;

    // Server services
    virtual ServerHandler&
@@ -218,21 +208,24 @@ public:
    virtual perf::PerfLog&
    getPerfLog() = 0;

+    virtual telemetry::Telemetry&
+    getTelemetry() = 0;
+
    // Configuration and state
    virtual bool
    isStopping() const = 0;

    virtual beast::Journal
-    getJournal(std::string const& name) = 0;
+    journal(std::string const& name) = 0;

    virtual boost::asio::io_context&
    getIOContext() = 0;

    virtual Logs&
-    getLogs() = 0;
+    logs() = 0;

    virtual std::optional<uint256> const&
-    getTrapTxID() const = 0;
+    trapTxID() const = 0;

    /** Retrieve the "wallet database" */
    virtual DatabaseCon&
@@ -241,7 +234,7 @@ public:
    // Temporary: Get the underlying Application for functions that haven't
    // been migrated yet. This should be removed once all code is migrated.
    virtual Application&
-    getApp() = 0;
+    app() = 0;
 };

 }  // namespace xrpl
--- a/include/xrpl/core/StartUpType.h
+++ b/include/xrpl/core/StartUpType.h
@@ -5,7 +5,7 @@

 namespace xrpl {

-enum class StartUpType { Fresh, Normal, Load, LoadFile, Replay, Network };
+enum class StartUpType { FRESH, NORMAL, LOAD, LOAD_FILE, REPLAY, NETWORK };

 inline std::ostream&
 operator<<(std::ostream& os, StartUpType const& type)
--- a/include/xrpl/ledger/OrderBookDB.h
+++ b/include/xrpl/ledger/OrderBookDB.h
@@ -76,33 +76,16 @@ public:
        @return true if a book from this issue to XRP exists
    */
    virtual bool
-    isBookToXRP(Issue const& issue, std::optional<Domain> const& domain = std::nullopt) = 0;
+    isBookToXRP(Issue const& issue, std::optional<Domain> domain = std::nullopt) = 0;

-    /**
-     * Process a transaction for order book tracking.
-     * @param ledger The ledger the transaction was applied to
-     * @param alTx The transaction to process
-     * @param jvObj The JSON object of the transaction
-     */
    virtual void
    processTxn(
        std::shared_ptr<ReadView const> const& ledger,
        AcceptedLedgerTx const& alTx,
        MultiApiJson const& jvObj) = 0;

-    /**
-     * Get the book listeners for a book.
-     * @param book The book to get the listeners for
-     * @return The book listeners for the book
-     */
    virtual BookListeners::pointer
    getBookListeners(Book const&) = 0;
-
-    /**
-     * Create a new book listeners for a book.
-     * @param book The book to create the listeners for
-     * @return The new book listeners for the book
-     */
    virtual BookListeners::pointer
    makeBookListeners(Book const&) = 0;
 };
--- a/include/xrpl/nodestore/Backend.h
+++ b/include/xrpl/nodestore/Backend.h
@@ -77,16 +77,16 @@ public:
        If the object is not found or an error is encountered, the
        result will indicate the condition.
        @note This will be called concurrently.
-        @param hash The hash of the object.
+        @param key A pointer to the key data.
        @param pObject [out] The created object if successful.
        @return The result of the operation.
    */
    virtual Status
-    fetch(uint256 const& hash, std::shared_ptr<NodeObject>* pObject) = 0;
+    fetch(void const* key, std::shared_ptr<NodeObject>* pObject) = 0;

    /** Fetch a batch synchronously. */
    virtual std::pair<std::vector<std::shared_ptr<NodeObject>>, Status>
-    fetchBatch(std::vector<uint256> const& hashes) = 0;
+    fetchBatch(std::vector<uint256 const*> const& hashes) = 0;

    /** Store a single object.
        Depending on the implementation this may happen immediately
--- a/include/xrpl/proto/xrpl.proto
+++ b/include/xrpl/proto/xrpl.proto
@@ -85,6 +85,19 @@ message TMPublicKey {
 // If you want to send an amount that is greater than any single address of yours
 // you must first combine coins from one address to another.

+// Trace context for OpenTelemetry distributed tracing across nodes.
+// Uses W3C Trace Context format internally.
+message TraceContext {
+  optional bytes trace_id = 1;      // 16-byte trace identifier
+  optional bytes span_id = 2;       // 8-byte parent span identifier
+  optional uint32 trace_flags = 3;  // bit 0 = sampled
+  // TODO: trace_state is reserved for W3C tracestate vendor-specific
+  // key-value pairs but is not yet read or written by
+  // TraceContextPropagator. Wire it when cross-vendor trace
+  // propagation is needed.
+  optional string trace_state = 4;  // W3C tracestate header value
+}
+
 enum TransactionStatus {
  tsNEW = 1;        // origin node did/could not validate
  tsCURRENT = 2;    // scheduled to go in this ledger
@@ -101,6 +114,9 @@ message TMTransaction {
  required TransactionStatus status = 2;
  optional uint64 receiveTimestamp = 3;
  optional bool deferred = 4;  // not applied to open ledger
+
+  // Optional trace context for OpenTelemetry distributed tracing
+  optional TraceContext trace_context = 1001;
 }

 message TMTransactions {
@@ -149,6 +165,9 @@ message TMProposeSet {

  // Number of hops traveled
  optional uint32 hops = 12 [deprecated = true];
+
+  // Optional trace context for OpenTelemetry distributed tracing
+  optional TraceContext trace_context = 1001;
 }

 enum TxSetStatus {
@@ -194,6 +213,9 @@ message TMValidation {

  // Number of hops traveled
  optional uint32 hops = 3 [deprecated = true];
+
+  // Optional trace context for OpenTelemetry distributed tracing
+  optional TraceContext trace_context = 1001;
 }

 // An array of Endpoint messages
--- a/include/xrpl/protocol/Fees.h
+++ b/include/xrpl/protocol/Fees.h
@@ -4,10 +4,6 @@

 namespace xrpl {

-// Deprecated constant for backwards compatibility with pre-XRPFees amendment.
-// This was the reference fee units used in the old fee calculation.
-inline constexpr std::uint32_t FEE_UNITS_DEPRECATED = 10;
-
 /** Reflects the fee settings for a particular ledger.

    The fees are always the same for any transactions applied
@@ -15,25 +11,15 @@ inline constexpr std::uint32_t FEE_UNITS_DEPRECATED = 10;
 */
 struct Fees
 {
-    /** @brief Cost of a reference transaction in drops. */
-    XRPAmount base{0};
-
-    /** @brief Minimum XRP an account must hold to exist on the ledger. */
-    XRPAmount reserve{0};
-
-    /** @brief Additional XRP reserve required per owned ledger object. */
-    XRPAmount increment{0};
+    XRPAmount base{0};       // Reference tx cost (drops)
+    XRPAmount reserve{0};    // Reserve base (drops)
+    XRPAmount increment{0};  // Reserve increment (drops)

    explicit Fees() = default;
    Fees(Fees const&) = default;
    Fees&
    operator=(Fees const&) = default;

-    Fees(XRPAmount base_, XRPAmount reserve_, XRPAmount increment_)
-        : base(base_), reserve(reserve_), increment(increment_)
-    {
-    }
-
    /** Returns the account reserve given the owner count, in drops.

        The reserve is calculated as the reserve base plus
--- a/include/xrpl/protocol/LedgerHeader.h
+++ b/include/xrpl/protocol/LedgerHeader.h
@@ -72,8 +72,4 @@ deserializeHeader(Slice data, bool hasHash = false);
 LedgerHeader
 deserializePrefixedHeader(Slice data, bool hasHash = false);

-/** Calculate the hash of a ledger header. */
-uint256
-calculateLedgerHash(LedgerHeader const& info);
-
 }  // namespace xrpl
--- a/include/xrpl/protocol/STVector256.h
+++ b/include/xrpl/protocol/STVector256.h
@@ -69,6 +69,9 @@ public:
    std::vector<uint256>::iterator
    insert(std::vector<uint256>::const_iterator pos, uint256 const& value);

+    std::vector<uint256>::iterator
+    insert(std::vector<uint256>::const_iterator pos, uint256&& value);
+
    void
    push_back(uint256 const& v);

@@ -181,6 +184,12 @@ STVector256::insert(std::vector<uint256>::const_iterator pos, uint256 const& val
    return mValue.insert(pos, value);
 }

+inline std::vector<uint256>::iterator
+STVector256::insert(std::vector<uint256>::const_iterator pos, uint256&& value)
+{
+    return mValue.insert(pos, std::move(value));
+}
+
 inline void
 STVector256::push_back(uint256 const& v)
 {
--- a/include/xrpl/protocol/TxSearched.h
+++ b/include/xrpl/protocol/TxSearched.h
@@ -2,6 +2,6 @@

 namespace xrpl {

-enum class TxSearched { All, Some, Unknown };
+enum class TxSearched { all, some, unknown };

 }
--- a/include/xrpl/protocol/detail/features.macro
+++ b/include/xrpl/protocol/detail/features.macro
@@ -15,11 +15,9 @@

 // Add new amendments to the top of this list.
 // Keep it sorted in reverse chronological order.
-
-XRPL_FIX   (Security3_1_3,               Supported::no, VoteBehavior::DefaultNo)
 XRPL_FIX   (PermissionedDomainInvariant, Supported::yes, VoteBehavior::DefaultNo)
 XRPL_FIX    (ExpiredNFTokenOfferRemoval, Supported::yes, VoteBehavior::DefaultNo)
-XRPL_FIX    (BatchInnerSigs,             Supported::no, VoteBehavior::DefaultNo)
+XRPL_FIX    (BatchInnerSigs,             Supported::yes, VoteBehavior::DefaultNo)
 XRPL_FEATURE(LendingProtocol,            Supported::yes, VoteBehavior::DefaultNo)
 XRPL_FEATURE(PermissionDelegationV1_1,   Supported::no,  VoteBehavior::DefaultNo)
 XRPL_FIX    (DirectoryLimit,             Supported::yes, VoteBehavior::DefaultNo)
@@ -33,7 +31,7 @@ XRPL_FEATURE(TokenEscrow,                Supported::yes, VoteBehavior::DefaultNo
 XRPL_FIX    (EnforceNFTokenTrustlineV2,  Supported::yes, VoteBehavior::DefaultNo)
 XRPL_FIX    (AMMv1_3,                    Supported::yes, VoteBehavior::DefaultNo)
 XRPL_FEATURE(PermissionedDEX,            Supported::yes, VoteBehavior::DefaultNo)
-XRPL_FEATURE(Batch,                      Supported::no,  VoteBehavior::DefaultNo)
+XRPL_FEATURE(Batch,                      Supported::yes, VoteBehavior::DefaultNo)
 XRPL_FEATURE(SingleAssetVault,           Supported::yes,  VoteBehavior::DefaultNo)
 XRPL_FIX    (PayChanCancelAfter,         Supported::yes, VoteBehavior::DefaultNo)
 // Check flags in Credential transactions
--- a/include/xrpl/rdb/DatabaseCon.h
+++ b/include/xrpl/rdb/DatabaseCon.h
@@ -1,7 +1,6 @@
 #pragma once

 #include <xrpl/core/PerfLog.h>
-#include <xrpl/core/ServiceRegistry.h>
 #include <xrpl/core/StartUpType.h>
 #include <xrpl/rdb/DBInit.h>
 #include <xrpl/rdb/SociDB.h>
@@ -70,7 +69,7 @@ public:
    {
        explicit Setup() = default;

-        StartUpType startUp = StartUpType::Normal;
+        StartUpType startUp = StartUpType::NORMAL;
        bool standAlone = false;
        boost::filesystem::path dataDir;
        // Indicates whether or not to return the `globalPragma`
@@ -95,7 +94,7 @@ public:
    struct CheckpointerSetup
    {
        JobQueue* jobQueue;
-        std::reference_wrapper<ServiceRegistry> registry;
+        Logs* logs;
    };

    template <std::size_t N, std::size_t M>
@@ -107,8 +106,9 @@ public:
        beast::Journal journal)
        // Use temporary files or regular DB files?
        : DatabaseCon(
-              setup.standAlone && setup.startUp != StartUpType::Load &&
-                      setup.startUp != StartUpType::LoadFile && setup.startUp != StartUpType::Replay
+              setup.standAlone && setup.startUp != StartUpType::LOAD &&
+                      setup.startUp != StartUpType::LOAD_FILE &&
+                      setup.startUp != StartUpType::REPLAY
                  ? ""
                  : (setup.dataDir / dbName),
              setup.commonPragma(),
@@ -129,7 +129,7 @@ public:
        beast::Journal journal)
        : DatabaseCon(setup, dbName, pragma, initSQL, journal)
    {
-        setupCheckpointing(checkpointerSetup.jobQueue, checkpointerSetup.registry.get());
+        setupCheckpointing(checkpointerSetup.jobQueue, *checkpointerSetup.logs);
    }

    template <std::size_t N, std::size_t M>
@@ -154,7 +154,7 @@ public:
        beast::Journal journal)
        : DatabaseCon(dataDir, dbName, pragma, initSQL, journal)
    {
-        setupCheckpointing(checkpointerSetup.jobQueue, checkpointerSetup.registry.get());
+        setupCheckpointing(checkpointerSetup.jobQueue, *checkpointerSetup.logs);
    }

    ~DatabaseCon();
@@ -177,7 +177,7 @@ public:

 private:
    void
-    setupCheckpointing(JobQueue*, ServiceRegistry&);
+    setupCheckpointing(JobQueue*, Logs&);

    template <std::size_t N, std::size_t M>
    DatabaseCon(
--- a/include/xrpl/rdb/RelationalDatabase.h
+++ b/include/xrpl/rdb/RelationalDatabase.h
@@ -49,9 +49,8 @@ public:
    struct AccountTxOptions
    {
        AccountID const& account;
-        /// Ledger sequence range to search. A value of 0 for min or max
-        /// means unbounded in that direction (no constraint applied).
-        LedgerRange ledgerRange;
+        std::uint32_t minLedger;
+        std::uint32_t maxLedger;
        std::uint32_t offset;
        std::uint32_t limit;
        bool bUnlimited;
@@ -60,7 +59,8 @@ public:
    struct AccountTxPageOptions
    {
        AccountID const& account;
-        LedgerRange ledgerRange;
+        std::uint32_t minLedger;
+        std::uint32_t maxLedger;
        std::optional<AccountTxMarker> marker;
        std::uint32_t limit;
        bool bAdmin;
@@ -247,7 +247,7 @@ public:
     * @return Struct CountMinMax which contains the minimum sequence,
     *         maximum sequence and number of ledgers.
     */
-    virtual CountMinMax
+    virtual struct CountMinMax
    getLedgerCountMinMax() = 0;

    /**
@@ -405,10 +405,10 @@ public:
     * @param id Hash of the transaction.
     * @param range Range of ledgers to check, if present.
     * @param ec Default error code value.
-     * @return Transaction and its metadata if found, otherwise TxSearched::All
+     * @return Transaction and its metadata if found, otherwise TxSearched::all
     *         if a range is provided and all ledgers from the range are present
-     *         in the database, TxSearched::Some if a range is provided and not
-     *         all ledgers are present, TxSearched::Unknown if the range is not
+     *         in the database, TxSearched::some if a range is provided and not
+     *         all ledgers are present, TxSearched::unknown if the range is not
     *         provided or a deserializing error occurred. In the last case the
     *         error code is returned via the ec parameter, in other cases the
     *         default error code is not changed.
@@ -455,10 +455,9 @@ public:
    closeTransactionDB() = 0;
 };

-template <typename T, typename C>
+template <class T, class C>
 T
 rangeCheckedCast(C c)
-    requires(std::is_arithmetic_v<T> && std::is_arithmetic_v<C> && std::convertible_to<C, T>)
 {
    if ((c > std::numeric_limits<T>::max()) || (!std::numeric_limits<T>::is_signed && c < 0) ||
        (std::numeric_limits<T>::is_signed && std::numeric_limits<C>::is_signed &&
--- a/include/xrpl/rdb/SociDB.h
+++ b/include/xrpl/rdb/SociDB.h
@@ -13,8 +13,8 @@
 #pragma clang diagnostic ignored "-Wdeprecated"
 #endif

+#include <xrpl/basics/Log.h>
 #include <xrpl/core/JobQueue.h>
-#include <xrpl/core/ServiceRegistry.h>

 #define SOCI_USE_BOOST
 #include <soci/soci.h>
@@ -111,7 +111,7 @@ public:
    and so must outlive them both.
 */
 std::shared_ptr<Checkpointer>
-makeCheckpointer(std::uintptr_t id, std::weak_ptr<soci::session>, JobQueue&, ServiceRegistry&);
+makeCheckpointer(std::uintptr_t id, std::weak_ptr<soci::session>, JobQueue&, Logs&);

 }  // namespace xrpl

--- a/include/xrpl/telemetry/SpanGuard.h
+++ b/include/xrpl/telemetry/SpanGuard.h
@@ -0,0 +1,174 @@
+#pragma once
+
+/** RAII guard for OpenTelemetry trace spans.
+
+    Wraps an OTel Span and Scope together. On construction, the span is
+    activated on the current thread's context (via Scope). On destruction,
+    the span is ended and the previous context is restored.
+
+    Used by the XRPL_TRACE_* macros in TracingInstrumentation.h. Can also
+    be stored in std::optional for conditional tracing (move-constructible).
+
+    Only compiled when XRPL_ENABLE_TELEMETRY is defined.
+*/
+
+#ifdef XRPL_ENABLE_TELEMETRY
+
+#include <opentelemetry/context/runtime_context.h>
+#include <opentelemetry/nostd/shared_ptr.h>
+#include <opentelemetry/trace/scope.h>
+#include <opentelemetry/trace/span.h>
+
+#include <exception>
+#include <string_view>
+
+namespace xrpl {
+namespace telemetry {
+
+/** RAII wrapper that activates a span on construction and ends it on
+    destruction. Non-copyable but move-constructible so it can be held
+    in std::optional for conditional tracing.
+*/
+class SpanGuard
+{
+    /** The OTel span being guarded. Set to nullptr after move. */
+    opentelemetry::nostd::shared_ptr<opentelemetry::trace::Span> span_;
+
+    /** Scope that activates span_ on the current thread's context stack. */
+    opentelemetry::trace::Scope scope_;
+
+public:
+    /** Construct a guard that activates @p span on the current context.
+
+        @param span  The span to guard. Ended in the destructor.
+    */
+    explicit SpanGuard(opentelemetry::nostd::shared_ptr<opentelemetry::trace::Span> span)
+        : span_(std::move(span)), scope_(span_)
+    {
+    }
+
+    /** Non-copyable. Move-constructible to support std::optional.
+
+        The move constructor creates a new Scope from the transferred span,
+        because Scope is not movable.
+    */
+    SpanGuard(SpanGuard const&) = delete;
+    SpanGuard&
+    operator=(SpanGuard const&) = delete;
+    SpanGuard(SpanGuard&& other) noexcept : span_(std::move(other.span_)), scope_(span_)
+    {
+        other.span_ = nullptr;
+    }
+    SpanGuard&
+    operator=(SpanGuard&&) = delete;
+
+    ~SpanGuard()
+    {
+        if (span_)
+            span_->End();
+    }
+
+    /** @return A mutable reference to the underlying span. */
+    opentelemetry::trace::Span&
+    span()
+    {
+        return *span_;
+    }
+
+    /** @return A const reference to the underlying span. */
+    opentelemetry::trace::Span const&
+    span() const
+    {
+        return *span_;
+    }
+
+    /** Mark the span status as OK. */
+    void
+    setOk()
+    {
+        span_->SetStatus(opentelemetry::trace::StatusCode::kOk);
+    }
+
+    /** Set an explicit status code on the span.
+
+        @param code         The OTel status code.
+        @param description  Optional human-readable status description.
+    */
+    void
+    setStatus(opentelemetry::trace::StatusCode code, std::string_view description = "")
+    {
+        span_->SetStatus(code, std::string(description));
+    }
+
+    /** Set a key-value attribute on the span.
+
+        @param key    Attribute name (e.g. "xrpl.rpc.command").
+        @param value  Attribute value (string, int, bool, etc.).
+    */
+    template <typename T>
+    void
+    setAttribute(std::string_view key, T&& value)
+    {
+        span_->SetAttribute(
+            opentelemetry::nostd::string_view(key.data(), key.size()), std::forward<T>(value));
+    }
+
+    /** Add a named event to the span's timeline.
+
+        @param name  Event name.
+    */
+    void
+    addEvent(std::string_view name)
+    {
+        span_->AddEvent(std::string(name));
+    }
+
+    /** Add a named event with key-value attributes to the span.
+
+        Allows attaching structured metadata to a point-in-time event on
+        the span timeline (e.g., "dispute.resolve" with transaction ID
+        and vote result attributes).
+
+        @param name        Event name (e.g., "dispute.resolve").
+        @param attributes  Key-value pairs describing the event.
+    */
+    void
+    addEvent(
+        std::string_view name,
+        std::initializer_list<
+            std::pair<opentelemetry::nostd::string_view, opentelemetry::common::AttributeValue>>
+            attributes)
+    {
+        span_->AddEvent(std::string(name), attributes);
+    }
+
+    /** Record an exception as a span event following OTel semantic
+        conventions, and mark the span status as error.
+
+        @param e  The exception to record.
+    */
+    void
+    recordException(std::exception const& e)
+    {
+        span_->AddEvent(
+            "exception",
+            {{"exception.type", "std::exception"}, {"exception.message", std::string(e.what())}});
+        span_->SetStatus(opentelemetry::trace::StatusCode::kError, e.what());
+    }
+
+    /** Return the current OTel context.
+
+        Useful for creating child spans on a different thread by passing
+        this context to Telemetry::startSpan(name, parentContext).
+    */
+    opentelemetry::context::Context
+    context() const
+    {
+        return opentelemetry::context::RuntimeContext::GetCurrent();
+    }
+};
+
+}  // namespace telemetry
+}  // namespace xrpl
+
+#endif  // XRPL_ENABLE_TELEMETRY
--- a/include/xrpl/telemetry/Telemetry.h
+++ b/include/xrpl/telemetry/Telemetry.h
@@ -0,0 +1,282 @@
+#pragma once
+
+/** Abstract interface for OpenTelemetry distributed tracing.
+
+    Provides the Telemetry base class that all components use to create trace
+    spans. Two implementations exist:
+
+      - TelemetryImpl (Telemetry.cpp): real OTel SDK integration, compiled
+        only when XRPL_ENABLE_TELEMETRY is defined and enabled at runtime.
+      - NullTelemetry (NullTelemetry.cpp): no-op stub used when telemetry is
+        disabled at compile time or runtime.
+
+    The Setup struct holds all configuration parsed from the [telemetry]
+    section of xrpld.cfg. See TelemetryConfig.cpp for the parser and
+    cfg/xrpld-example.cfg for the available options.
+
+    OTel SDK headers are conditionally included behind XRPL_ENABLE_TELEMETRY
+    so that builds without telemetry have zero dependency on opentelemetry-cpp.
+*/
+
+#include <xrpl/basics/BasicConfig.h>
+#include <xrpl/beast/utility/Journal.h>
+
+#include <chrono>
+#include <memory>
+#include <string>
+#include <string_view>
+
+#ifdef XRPL_ENABLE_TELEMETRY
+#include <opentelemetry/common/attribute_value.h>
+#include <opentelemetry/context/context.h>
+#include <opentelemetry/nostd/shared_ptr.h>
+#include <opentelemetry/trace/span.h>
+#include <opentelemetry/trace/span_context.h>
+#include <opentelemetry/trace/tracer.h>
+
+#include <utility>
+#include <vector>
+#endif
+
+namespace xrpl {
+namespace telemetry {
+
+class Telemetry
+{
+public:
+    /** Configuration parsed from the [telemetry] section of xrpld.cfg.
+
+        All fields have sensible defaults so the section can be minimal
+        or omitted entirely. See TelemetryConfig.cpp for the parser.
+    */
+    struct Setup
+    {
+        /** Master switch: true to enable tracing at runtime. */
+        bool enabled = false;
+
+        /** OTel resource attribute `service.name`. */
+        std::string serviceName = "rippled";
+
+        /** OTel resource attribute `service.version` (set from BuildInfo). */
+        std::string serviceVersion;
+
+        /** OTel resource attribute `service.instance.id` (defaults to node
+            public key). */
+        std::string serviceInstanceId;
+
+        /** Exporter type: currently only "otlp_http" is supported. */
+        std::string exporterType = "otlp_http";
+
+        /** OTLP/HTTP endpoint URL where spans are sent. */
+        std::string exporterEndpoint = "http://localhost:4318/v1/traces";
+
+        /** Whether to use TLS for the exporter connection. */
+        bool useTls = false;
+
+        /** Path to a CA certificate bundle for TLS verification. */
+        std::string tlsCertPath;
+
+        /** Head-based sampling ratio in [0.0, 1.0]. 1.0 = trace everything. */
+        double samplingRatio = 1.0;
+
+        /** Maximum number of spans per batch export. */
+        std::uint32_t batchSize = 512;
+
+        /** Delay between batch exports. */
+        std::chrono::milliseconds batchDelay{5000};
+
+        /** Maximum number of spans queued before dropping. */
+        std::uint32_t maxQueueSize = 2048;
+
+        /** Network identifier, added as an OTel resource attribute. */
+        std::uint32_t networkId = 0;
+
+        /** Network type label (e.g. "mainnet", "testnet", "devnet"). */
+        std::string networkType = "mainnet";
+
+        /** Enable tracing for transaction processing. */
+        bool traceTransactions = true;
+
+        /** Enable tracing for consensus rounds. */
+        bool traceConsensus = true;
+
+        /** Enable tracing for RPC request handling. */
+        bool traceRpc = true;
+
+        /** Enable tracing for peer-to-peer messages (disabled by default
+            due to high volume). */
+        bool tracePeer = false;
+
+        /** Enable tracing for ledger close/accept. */
+        bool traceLedger = true;
+
+        /** Cross-node correlation strategy for consensus tracing.
+
+            "deterministic" derives trace_id from previousLedger.id() so all
+            nodes participating in the same consensus round share the same
+            trace_id, enabling cross-node trace correlation in the backend.
+
+            "attribute" uses normal random trace_id with the ledger_id stored
+            as a span attribute; correlation must be done via attribute queries.
+        */
+        std::string consensusTraceStrategy = "deterministic";
+    };
+
+    virtual ~Telemetry() = default;
+
+    /** Update the service instance ID (OTel resource attribute
+        `service.instance.id`).
+
+        Must be called before start(). The node public key is not available
+        when Telemetry is constructed (during the ApplicationImp member
+        initializer list), so this setter allows Application::setup() to
+        inject the identity once nodeIdentity_ is known.
+
+        @param id  The node's base58-encoded public key or custom identifier.
+    */
+    virtual void
+    setServiceInstanceId(std::string const& id)
+    {
+        // Default no-op for NullTelemetry implementations.
+        (void)id;
+    }
+
+    /** Initialize the tracing pipeline (exporter, processor, provider).
+        Call after construction.
+    */
+    virtual void
+    start() = 0;
+
+    /** Flush pending spans and shut down the tracing pipeline.
+        Call before destruction.
+    */
+    virtual void
+    stop() = 0;
+
+    /** @return true if this instance is actively exporting spans. */
+    virtual bool
+    isEnabled() const = 0;
+
+    /** @return true if transaction processing should be traced. */
+    virtual bool
+    shouldTraceTransactions() const = 0;
+
+    /** @return true if consensus rounds should be traced. */
+    virtual bool
+    shouldTraceConsensus() const = 0;
+
+    /** @return true if RPC request handling should be traced. */
+    virtual bool
+    shouldTraceRpc() const = 0;
+
+    /** @return true if peer-to-peer messages should be traced. */
+    virtual bool
+    shouldTracePeer() const = 0;
+
+    /** @return true if ledger close/accept should be traced. */
+    virtual bool
+    shouldTraceLedger() const = 0;
+
+    /** @return The consensus trace correlation strategy.
+
+        "deterministic" derives trace_id from previousLedger.id() so all
+        nodes participating in the same consensus round share the same
+        trace_id, enabling cross-node trace correlation in the backend.
+
+        "attribute" uses normal random trace_id with the ledger_id stored
+        as a span attribute; correlation must be done via attribute queries.
+    */
+    virtual std::string const&
+    getConsensusTraceStrategy() const = 0;
+
+#ifdef XRPL_ENABLE_TELEMETRY
+    /** Get or create a named tracer instance.
+
+        @param name  Tracer name used to identify the instrumentation library.
+        @return A shared pointer to the Tracer.
+    */
+    virtual opentelemetry::nostd::shared_ptr<opentelemetry::trace::Tracer>
+    getTracer(std::string_view name = "rippled") = 0;
+
+    /** Start a new span on the current thread's context.
+
+        The span becomes a child of the current active span (if any) via
+        OpenTelemetry's context propagation.
+
+        @param name  Span name (typically "rpc.command.<cmd>").
+        @param kind  The span kind (defaults to kInternal).
+        @return A shared pointer to the new Span.
+    */
+    virtual opentelemetry::nostd::shared_ptr<opentelemetry::trace::Span>
+    startSpan(
+        std::string_view name,
+        opentelemetry::trace::SpanKind kind = opentelemetry::trace::SpanKind::kInternal) = 0;
+
+    /** Start a new span with an explicit parent context.
+
+        Use this overload when the parent span is not on the current
+        thread's context stack (e.g. cross-thread trace propagation).
+
+        @param name           Span name.
+        @param parentContext  The parent span's context.
+        @param kind           The span kind (defaults to kInternal).
+        @return A shared pointer to the new Span.
+    */
+    virtual opentelemetry::nostd::shared_ptr<opentelemetry::trace::Span>
+    startSpan(
+        std::string_view name,
+        opentelemetry::context::Context const& parentContext,
+        opentelemetry::trace::SpanKind kind = opentelemetry::trace::SpanKind::kInternal) = 0;
+
+    /** Start a new span with an explicit parent context and span links.
+
+        Span links establish follows-from relationships without implying
+        a parent-child hierarchy. Common uses include linking consensus
+        round N+1 to round N, or linking a validation span back to the
+        round that produced it.
+
+        @param name           Span name.
+        @param parentContext  The parent span's context.
+        @param links          Vector of (SpanContext, attributes) pairs
+                              for follows-from relationships.
+        @param kind           The span kind (defaults to kInternal).
+        @return A shared pointer to the new Span.
+    */
+    virtual opentelemetry::nostd::shared_ptr<opentelemetry::trace::Span>
+    startSpan(
+        std::string_view name,
+        opentelemetry::context::Context const& parentContext,
+        std::vector<std::pair<
+            opentelemetry::trace::SpanContext,
+            std::vector<std::pair<std::string, opentelemetry::common::AttributeValue>>>> const&
+            links,
+        opentelemetry::trace::SpanKind kind = opentelemetry::trace::SpanKind::kInternal) = 0;
+#endif
+};
+
+/** Create a Telemetry instance.
+
+    Returns a TelemetryImpl when setup.enabled is true, or a
+    NullTelemetry no-op stub otherwise.
+
+    @param setup    Configuration from the [telemetry] config section.
+    @param journal  Journal for log output during initialization.
+*/
+std::unique_ptr<Telemetry>
+make_Telemetry(Telemetry::Setup const& setup, beast::Journal journal);
+
+/** Parse the [telemetry] config section into a Setup struct.
+
+    @param section        The [telemetry] config section.
+    @param nodePublicKey  Node public key, used as default instance ID.
+    @param version        Build version string.
+    @return A populated Setup struct with defaults for missing values.
+*/
+Telemetry::Setup
+setup_Telemetry(
+    Section const& section,
+    std::string const& nodePublicKey,
+    std::string const& version);
+
+}  // namespace telemetry
+}  // namespace xrpl
--- a/include/xrpl/telemetry/TraceContextPropagator.h
+++ b/include/xrpl/telemetry/TraceContextPropagator.h
@@ -0,0 +1,101 @@
+#pragma once
+
+/** Utilities for trace context propagation across nodes.
+
+    Provides serialization/deserialization of OTel trace context to/from
+    Protocol Buffer TraceContext messages (P2P cross-node propagation).
+
+    Only compiled when XRPL_ENABLE_TELEMETRY is defined.
+
+    TODO: These utilities are not yet wired into the P2P message flow.
+    To enable cross-node distributed traces, call injectToProtobuf() in
+    PeerImp when sending TMTransaction/TMProposeSet messages, and call
+    extractFromProtobuf() in the corresponding message handlers to
+    reconstruct the parent span context before starting a child span.
+    This was deferred to validate single-node tracing performance first.
+*/
+
+#ifdef XRPL_ENABLE_TELEMETRY
+
+#include <xrpl/proto/xrpl.pb.h>
+
+#include <opentelemetry/context/context.h>
+#include <opentelemetry/trace/context.h>
+#include <opentelemetry/trace/default_span.h>
+#include <opentelemetry/trace/span_context.h>
+#include <opentelemetry/trace/trace_flags.h>
+#include <opentelemetry/trace/trace_id.h>
+
+#include <cstdint>
+
+namespace xrpl {
+namespace telemetry {
+
+/** Extract OTel context from a protobuf TraceContext message.
+
+    @param proto  The protobuf TraceContext received from a peer.
+    @return An OTel Context with the extracted parent span, or an empty
+            context if the protobuf fields are missing or invalid.
+*/
+inline opentelemetry::context::Context
+extractFromProtobuf(protocol::TraceContext const& proto)
+{
+    namespace trace = opentelemetry::trace;
+
+    if (!proto.has_trace_id() || proto.trace_id().size() != 16 || !proto.has_span_id() ||
+        proto.span_id().size() != 8)
+    {
+        return opentelemetry::context::Context{};
+    }
+
+    auto const* rawTraceId = reinterpret_cast<std::uint8_t const*>(proto.trace_id().data());
+    auto const* rawSpanId = reinterpret_cast<std::uint8_t const*>(proto.span_id().data());
+    trace::TraceId traceId(opentelemetry::nostd::span<std::uint8_t const, 16>(rawTraceId, 16));
+    trace::SpanId spanId(opentelemetry::nostd::span<std::uint8_t const, 8>(rawSpanId, 8));
+    // Default to not-sampled (0x00) per W3C Trace Context spec when
+    // the trace_flags field is absent.
+    trace::TraceFlags flags(
+        proto.has_trace_flags() ? static_cast<std::uint8_t>(proto.trace_flags())
+                                : static_cast<std::uint8_t>(0));
+
+    trace::SpanContext spanCtx(traceId, spanId, flags, /* remote = */ true);
+
+    return opentelemetry::context::Context{}.SetValue(
+        trace::kSpanKey,
+        opentelemetry::nostd::shared_ptr<trace::Span>(new trace::DefaultSpan(spanCtx)));
+}
+
+/** Inject the current span's trace context into a protobuf TraceContext.
+
+    @param ctx    The OTel context containing the span to propagate.
+    @param proto  The protobuf TraceContext to populate.
+*/
+inline void
+injectToProtobuf(opentelemetry::context::Context const& ctx, protocol::TraceContext& proto)
+{
+    namespace trace = opentelemetry::trace;
+
+    auto span = trace::GetSpan(ctx);
+    if (!span)
+        return;
+
+    auto const& spanCtx = span->GetContext();
+    if (!spanCtx.IsValid())
+        return;
+
+    // Serialize trace_id (16 bytes)
+    auto const& traceId = spanCtx.trace_id();
+    proto.set_trace_id(traceId.Id().data(), trace::TraceId::kSize);
+
+    // Serialize span_id (8 bytes)
+    auto const& spanId = spanCtx.span_id();
+    proto.set_span_id(spanId.Id().data(), trace::SpanId::kSize);
+
+    // Serialize flags
+    proto.set_trace_flags(spanCtx.trace_flags().flags());
+}
+
+}  // namespace telemetry
+}  // namespace xrpl
+
+#endif  // XRPL_ENABLE_TELEMETRY
--- a/include/xrpl/tx/ApplyContext.h
+++ b/include/xrpl/tx/ApplyContext.h
@@ -37,7 +37,7 @@ public:
        XRPL_ASSERT((flags & tapBATCH) == 0, "Batch apply flag should not be set");
    }

-    std::reference_wrapper<ServiceRegistry> registry;
+    ServiceRegistry& registry;
    STTx const& tx;
    TER const preclaimResult;
    XRPAmount const baseFee;
--- a/include/xrpl/tx/Transactor.h
+++ b/include/xrpl/tx/Transactor.h
@@ -13,7 +13,7 @@ namespace xrpl {
 struct PreflightContext
 {
 public:
-    std::reference_wrapper<ServiceRegistry> registry;
+    ServiceRegistry& registry;
    STTx const& tx;
    Rules const rules;
    ApplyFlags flags;
@@ -56,7 +56,7 @@ public:
 struct PreclaimContext
 {
 public:
-    std::reference_wrapper<ServiceRegistry> registry;
+    ServiceRegistry& registry;
    ReadView const& view;
    TER preflightResult;
    ApplyFlags flags;
--- a/include/xrpl/tx/invariants/InvariantCheck.h
+++ b/include/xrpl/tx/invariants/InvariantCheck.h
@@ -7,7 +7,6 @@
 #include <xrpl/protocol/TER.h>
 #include <xrpl/tx/invariants/AMMInvariant.h>
 #include <xrpl/tx/invariants/FreezeInvariant.h>
-#include <xrpl/tx/invariants/LoanBrokerInvariant.h>
 #include <xrpl/tx/invariants/LoanInvariant.h>
 #include <xrpl/tx/invariants/MPTInvariant.h>
 #include <xrpl/tx/invariants/NFTInvariant.h>
--- a/include/xrpl/tx/invariants/LoanBrokerInvariant.h
+++ b/include/xrpl/tx/invariants/LoanBrokerInvariant.h
@@ -1,55 +0,0 @@
-#pragma once
-
-#include <xrpl/basics/base_uint.h>
-#include <xrpl/beast/utility/Journal.h>
-#include <xrpl/ledger/ReadView.h>
-#include <xrpl/protocol/STTx.h>
-#include <xrpl/protocol/TER.h>
-
-#include <map>
-#include <vector>
-
-namespace xrpl {
-
-/**
- * @brief Invariants: Loan brokers are internally consistent
- *
- * 1. If `LoanBroker.OwnerCount = 0` the `DirectoryNode` will have at most one
- *    node (the root), which will only hold entries for `RippleState` or
- * `MPToken` objects.
- *
- */
-class ValidLoanBroker
-{
-    // Not all of these elements will necessarily be populated. Remaining items
-    // will be looked up as needed.
-    struct BrokerInfo
-    {
-        SLE::const_pointer brokerBefore = nullptr;
-        // After is used for most of the checks, except
-        // those that check changed values.
-        SLE::const_pointer brokerAfter = nullptr;
-    };
-    // Collect all the LoanBrokers found directly or indirectly through
-    // pseudo-accounts. Key is the brokerID / index. It will be used to find the
-    // LoanBroker object if brokerBefore and brokerAfter are nullptr
-    std::map<uint256, BrokerInfo> brokers_;
-    // Collect all the modified trust lines. Their high and low accounts will be
-    // loaded to look for LoanBroker pseudo-accounts.
-    std::vector<SLE::const_pointer> lines_;
-    // Collect all the modified MPTokens. Their accounts will be loaded to look
-    // for LoanBroker pseudo-accounts.
-    std::vector<SLE::const_pointer> mpts_;
-
-    static bool
-    goodZeroDirectory(ReadView const& view, SLE::const_ref dir, beast::Journal const& j);
-
-public:
-    void
-    visitEntry(bool, std::shared_ptr<SLE const> const&, std::shared_ptr<SLE const> const&);
-
-    bool
-    finalize(STTx const&, TER const, XRPAmount const, ReadView const&, beast::Journal const&);
-};
-
-}  // namespace xrpl
--- a/include/xrpl/tx/invariants/LoanInvariant.h
+++ b/include/xrpl/tx/invariants/LoanInvariant.h
@@ -1,14 +1,57 @@
 #pragma once

+#include <xrpl/basics/base_uint.h>
 #include <xrpl/beast/utility/Journal.h>
 #include <xrpl/ledger/ReadView.h>
 #include <xrpl/protocol/STTx.h>
 #include <xrpl/protocol/TER.h>

+#include <map>
 #include <vector>

 namespace xrpl {

+/**
+ * @brief Invariants: Loan brokers are internally consistent
+ *
+ * 1. If `LoanBroker.OwnerCount = 0` the `DirectoryNode` will have at most one
+ *    node (the root), which will only hold entries for `RippleState` or
+ * `MPToken` objects.
+ *
+ */
+class ValidLoanBroker
+{
+    // Not all of these elements will necessarily be populated. Remaining items
+    // will be looked up as needed.
+    struct BrokerInfo
+    {
+        SLE::const_pointer brokerBefore = nullptr;
+        // After is used for most of the checks, except
+        // those that check changed values.
+        SLE::const_pointer brokerAfter = nullptr;
+    };
+    // Collect all the LoanBrokers found directly or indirectly through
+    // pseudo-accounts. Key is the brokerID / index. It will be used to find the
+    // LoanBroker object if brokerBefore and brokerAfter are nullptr
+    std::map<uint256, BrokerInfo> brokers_;
+    // Collect all the modified trust lines. Their high and low accounts will be
+    // loaded to look for LoanBroker pseudo-accounts.
+    std::vector<SLE::const_pointer> lines_;
+    // Collect all the modified MPTokens. Their accounts will be loaded to look
+    // for LoanBroker pseudo-accounts.
+    std::vector<SLE::const_pointer> mpts_;
+
+    static bool
+    goodZeroDirectory(ReadView const& view, SLE::const_ref dir, beast::Journal const& j);
+
+public:
+    void
+    visitEntry(bool, std::shared_ptr<SLE const> const&, std::shared_ptr<SLE const> const&);
+
+    bool
+    finalize(STTx const&, TER const, XRPAmount const, ReadView const&, beast::Journal const&);
+};
+
 /**
 * @brief Invariants: Loans are internally consistent
 *
--- a/include/xrpl/tx/paths/RippleCalc.h
+++ b/include/xrpl/tx/paths/RippleCalc.h
@@ -1,6 +1,6 @@
 #pragma once

-#include <xrpl/core/ServiceRegistry.h>
+#include <xrpl/basics/Log.h>
 #include <xrpl/ledger/PaymentSandbox.h>
 #include <xrpl/protocol/STAmount.h>
 #include <xrpl/protocol/TER.h>
@@ -92,7 +92,7 @@ public:
        STPathSet const& spsPaths,

        std::optional<uint256> const& domainID,
-        ServiceRegistry& registry,
+        Logs& l,
        Input const* const pInputs = nullptr);

    // The view we are currently working on
--- a/include/xrpl/tx/transactors/dex/AMMHelpers.h
+++ b/include/xrpl/tx/transactors/dex/AMMHelpers.h
@@ -203,7 +203,7 @@ getAMMOfferStartWithTakerGets(

    // Try to reduce the offer size to improve the quality.
    // The quality might still not match the targetQuality for a tiny offer.
-    if (auto amounts = getAmounts(*nTakerGets); Quality{amounts} < targetQuality)
+    if (auto const amounts = getAmounts(*nTakerGets); Quality{amounts} < targetQuality)
        return getAmounts(detail::reduceOffer(amounts.out));
    else
        return amounts;
@@ -270,7 +270,7 @@ getAMMOfferStartWithTakerPays(

    // Try to reduce the offer size to improve the quality.
    // The quality might still not match the targetQuality for a tiny offer.
-    if (auto amounts = getAmounts(*nTakerPays); Quality{amounts} < targetQuality)
+    if (auto const amounts = getAmounts(*nTakerPays); Quality{amounts} < targetQuality)
        return getAmounts(detail::reduceOffer(amounts.in));
    else
        return amounts;
@@ -335,7 +335,8 @@ changeSpotPriceQuality(
            }
            auto const takerPays = toAmount<TIn>(getIssue(pool.in), nTakerPays, Number::upward);
            // should not fail
-            if (auto amounts = TAmounts<TIn, TOut>{takerPays, swapAssetIn(pool, takerPays, tfee)};
+            if (auto const amounts =
+                    TAmounts<TIn, TOut>{takerPays, swapAssetIn(pool, takerPays, tfee)};
                Quality{amounts} < quality &&
                !withinRelativeDistance(Quality{amounts}, quality, Number(1, -7)))
            {
@@ -361,7 +362,7 @@ changeSpotPriceQuality(

    // Generate the offer starting with XRP side. Return seated offer amounts
    // if the offer can be generated, otherwise nullopt.
-    auto amounts = [&]() {
+    auto const amounts = [&]() {
        if (isXRP(getIssue(pool.out)))
            return getAMMOfferStartWithTakerGets(pool, quality, tfee);
        return getAMMOfferStartWithTakerPays(pool, quality, tfee);
--- a/src/libxrpl/basics/FileUtilities.cpp
+++ b/src/libxrpl/basics/FileUtilities.cpp
@@ -45,7 +45,7 @@ getFileContents(
        return {};
    }

-    std::string result{
+    std::string const result{
        std::istreambuf_iterator<char>{fileStream}, std::istreambuf_iterator<char>{}};

    if (fileStream.bad())
--- a/src/libxrpl/basics/Log.cpp
+++ b/src/libxrpl/basics/Log.cpp
@@ -6,6 +6,15 @@
 #include <boost/algorithm/string/predicate.hpp>
 #include <boost/filesystem/path.hpp>

+// Phase 8: OTel trace context headers for log-trace correlation.
+// GetSpan() and RuntimeContext::GetCurrent() are thread-local reads
+// with no locking — measured at <10ns per call.
+#ifdef XRPL_ENABLE_TELEMETRY
+#include <opentelemetry/context/runtime_context.h>
+#include <opentelemetry/trace/context.h>
+#include <opentelemetry/trace/provider.h>
+#endif  // XRPL_ENABLE_TELEMETRY
+
 #include <chrono>
 #include <cstring>
 #include <fstream>
@@ -345,6 +354,32 @@ Logs::format(
            break;
    }

+        // Phase 8: Inject OTel trace context (trace_id, span_id) into log lines
+        // for log-trace correlation. Only appended when an active span exists.
+        // GetSpan() reads thread-local storage — no locks, <10ns overhead.
+// LCOV_EXCL_START -- compiled out when XRPL_ENABLE_TELEMETRY is not defined
+#ifdef XRPL_ENABLE_TELEMETRY
+    {
+        auto span =
+            opentelemetry::trace::GetSpan(opentelemetry::context::RuntimeContext::GetCurrent());
+        auto ctx = span->GetContext();
+        if (ctx.IsValid())
+        {
+            // Append trace context as structured key=value fields that the
+            // OTel Collector filelog receiver regex_parser can extract.
+            char traceId[32], spanId[16];
+            ctx.trace_id().ToLowerBase16(opentelemetry::nostd::span<char, 32>{traceId});
+            ctx.span_id().ToLowerBase16(opentelemetry::nostd::span<char, 16>{spanId});
+            output += "trace_id=";
+            output.append(traceId, 32);
+            output += " span_id=";
+            output.append(spanId, 16);
+            output += ' ';
+        }
+    }
+#endif  // XRPL_ENABLE_TELEMETRY
+    // LCOV_EXCL_STOP
+
    output += message;

    // Limit the maximum length of the output
--- a/src/libxrpl/basics/MallocTrim.cpp
+++ b/src/libxrpl/basics/MallocTrim.cpp
@@ -1,157 +0,0 @@
-#include <xrpl/basics/Log.h>
-#include <xrpl/basics/MallocTrim.h>
-
-#include <boost/predef.h>
-
-#include <chrono>
-#include <cstdint>
-#include <cstdio>
-#include <fstream>
-#include <sstream>
-
-#if defined(__GLIBC__) && BOOST_OS_LINUX
-#include <sys/resource.h>
-
-#include <malloc.h>
-#include <unistd.h>
-
-// Require RUSAGE_THREAD for thread-scoped page fault tracking
-#ifndef RUSAGE_THREAD
-#error "MallocTrim rusage instrumentation requires RUSAGE_THREAD on Linux/glibc"
-#endif
-
-namespace {
-
-bool
-getRusageThread(struct rusage& ru)
-{
-    return ::getrusage(RUSAGE_THREAD, &ru) == 0;  // LCOV_EXCL_LINE
-}
-
-}  // namespace
-#endif
-
-namespace xrpl {
-
-namespace detail {
-
-// cSpell:ignore statm
-
-#if defined(__GLIBC__) && BOOST_OS_LINUX
-
-inline int
-mallocTrimWithPad(std::size_t padBytes)
-{
-    return ::malloc_trim(padBytes);
-}
-
-long
-parseStatmRSSkB(std::string const& statm)
-{
-    // /proc/self/statm format: size resident shared text lib data dt
-    // We want the second field (resident) which is in pages
-    std::istringstream iss(statm);
-    long size = 0, resident = 0;
-    if (!(iss >> size >> resident))
-        return -1;
-
-    // Convert pages to KB
-    long const pageSize = ::sysconf(_SC_PAGESIZE);
-    if (pageSize <= 0)
-        return -1;
-
-    return (resident * pageSize) / 1024;
-}
-
-#endif  // __GLIBC__ && BOOST_OS_LINUX
-
-}  // namespace detail
-
-MallocTrimReport
-mallocTrim(std::string_view tag, beast::Journal journal)
-{
-    // LCOV_EXCL_START
-
-    MallocTrimReport report;
-
-#if !(defined(__GLIBC__) && BOOST_OS_LINUX)
-    JLOG(journal.debug()) << "malloc_trim not supported on this platform (tag=" << tag << ")";
-#else
-    // Keep glibc malloc_trim padding at 0 (default): 12h Mainnet tests across 0/256KB/1MB/16MB
-    // showed no clear, consistent benefit from custom padding—0 provided the best overall balance
-    // of RSS reduction and trim-latency stability without adding a tuning surface.
-    constexpr std::size_t TRIM_PAD = 0;
-
-    report.supported = true;
-
-    if (journal.debug())
-    {
-        auto readFile = [](std::string const& path) -> std::string {
-            std::ifstream ifs(path, std::ios::in | std::ios::binary);
-            if (!ifs.is_open())
-                return {};
-
-            // /proc files are often not seekable; read as a stream.
-            std::ostringstream oss;
-            oss << ifs.rdbuf();
-            return oss.str();
-        };
-
-        std::string const tagStr{tag};
-        std::string const statmPath = "/proc/self/statm";
-
-        auto const statmBefore = readFile(statmPath);
-        long const rssBeforeKB = detail::parseStatmRSSkB(statmBefore);
-
-        struct rusage ru0{};
-        bool const have_ru0 = getRusageThread(ru0);
-
-        auto const t0 = std::chrono::steady_clock::now();
-
-        report.trimResult = detail::mallocTrimWithPad(TRIM_PAD);
-
-        auto const t1 = std::chrono::steady_clock::now();
-
-        struct rusage ru1{};
-        bool const have_ru1 = getRusageThread(ru1);
-
-        auto const statmAfter = readFile(statmPath);
-        long const rssAfterKB = detail::parseStatmRSSkB(statmAfter);
-
-        // Populate report fields
-        report.rssBeforeKB = rssBeforeKB;
-        report.rssAfterKB = rssAfterKB;
-        report.durationUs = std::chrono::duration_cast<std::chrono::microseconds>(t1 - t0);
-
-        if (have_ru0 && have_ru1)
-        {
-            report.minfltDelta = ru1.ru_minflt - ru0.ru_minflt;
-            report.majfltDelta = ru1.ru_majflt - ru0.ru_majflt;
-        }
-
-        std::int64_t const deltaKB = (rssBeforeKB < 0 || rssAfterKB < 0)
-            ? 0
-            : (static_cast<std::int64_t>(rssAfterKB) - static_cast<std::int64_t>(rssBeforeKB));
-
-        JLOG(journal.debug()) << "malloc_trim tag=" << tagStr << " result=" << report.trimResult
-                              << " pad=" << TRIM_PAD << " bytes"
-                              << " rss_before=" << rssBeforeKB << "kB"
-                              << " rss_after=" << rssAfterKB << "kB"
-                              << " delta=" << deltaKB << "kB"
-                              << " duration_us=" << report.durationUs.count()
-                              << " minflt_delta=" << report.minfltDelta
-                              << " majflt_delta=" << report.majfltDelta;
-    }
-    else
-    {
-        report.trimResult = detail::mallocTrimWithPad(TRIM_PAD);
-    }
-
-#endif
-
-    return report;
-
-    // LCOV_EXCL_STOP
-}
-
-}  // namespace xrpl
--- a/src/libxrpl/beast/insight/OTelCollector.cpp
+++ b/src/libxrpl/beast/insight/OTelCollector.cpp
@@ -0,0 +1,879 @@
+/**
+ * @file OTelCollector.cpp
+ * @brief OpenTelemetry Metrics SDK implementation of beast::insight::Collector.
+ *
+ * Compiled only when XRPL_ENABLE_TELEMETRY is defined (via CMake
+ * telemetry=ON). Maps beast::insight instruments to OTel SDK instruments
+ * and exports them via OTLP/HTTP using a PeriodicMetricReader.
+ *
+ * When XRPL_ENABLE_TELEMETRY is not defined, OTelCollector::New() returns
+ * a NullCollector so the build succeeds without OTel dependencies.
+ *
+ * Data flow:
+ *
+ *   beast::insight callers
+ *       |
+ *       v
+ *   OTelCounterImpl / OTelGaugeImpl / OTelEventImpl / OTelMeterImpl
+ *       |                    |                |              |
+ *       v                    v                v              v
+ *   OTel Counter<uint64> ObservableGauge  Histogram<double>  Counter<uint64>
+ *       |                    |                |              |
+ *       +--------------------+----------------+--------------+
+ *       |
+ *       v
+ *   PeriodicMetricReader (1s interval)
+ *       |
+ *       v
+ *   OtlpHttpMetricExporter -> OTel Collector -> Prometheus
+ */
+
+#ifdef XRPL_ENABLE_TELEMETRY
+
+#include <xrpl/beast/insight/CounterImpl.h>
+#include <xrpl/beast/insight/EventImpl.h>
+#include <xrpl/beast/insight/GaugeImpl.h>
+#include <xrpl/beast/insight/Hook.h>
+#include <xrpl/beast/insight/HookImpl.h>
+#include <xrpl/beast/insight/MeterImpl.h>
+#include <xrpl/beast/insight/OTelCollector.h>
+#include <xrpl/beast/utility/Journal.h>
+
+#include <opentelemetry/exporters/otlp/otlp_http_metric_exporter_factory.h>
+#include <opentelemetry/exporters/otlp/otlp_http_metric_exporter_options.h>
+#include <opentelemetry/metrics/async_instruments.h>
+#include <opentelemetry/metrics/meter.h>
+#include <opentelemetry/metrics/meter_provider.h>
+#include <opentelemetry/metrics/observer_result.h>
+#include <opentelemetry/metrics/sync_instruments.h>
+#include <opentelemetry/sdk/metrics/export/periodic_exporting_metric_reader_factory.h>
+#include <opentelemetry/sdk/metrics/export/periodic_exporting_metric_reader_options.h>
+#include <opentelemetry/sdk/metrics/meter_provider.h>
+#include <opentelemetry/sdk/metrics/meter_provider_factory.h>
+#include <opentelemetry/sdk/metrics/view/instrument_selector_factory.h>
+#include <opentelemetry/sdk/metrics/view/meter_selector_factory.h>
+#include <opentelemetry/sdk/metrics/view/view_factory.h>
+#include <opentelemetry/sdk/resource/semantic_conventions.h>
+
+#include <atomic>
+#include <chrono>
+#include <cstdint>
+#include <memory>
+#include <mutex>
+#include <string>
+#include <vector>
+
+namespace beast {
+namespace insight {
+
+namespace detail {
+
+namespace metrics_api = opentelemetry::metrics;
+namespace metrics_sdk = opentelemetry::sdk::metrics;
+namespace otlp_http = opentelemetry::exporter::otlp;
+namespace resource = opentelemetry::sdk::resource;
+
+class OTelCollectorImp;
+
+//------------------------------------------------------------------------------
+
+/**
+ * @brief OTel-backed implementation of beast::insight::HookImpl.
+ *
+ * Stores a handler function that is invoked during each periodic
+ * metric collection cycle. This mirrors the StatsDHookImpl pattern
+ * where hooks are called at each 1-second timer tick, but here the
+ * invocation is triggered by the OTel PeriodicMetricReader's
+ * observable callback mechanism.
+ */
+class OTelHookImpl : public HookImpl
+{
+public:
+    /**
+     * @param handler  Callback invoked at each collection interval.
+     * @param impl     Owning collector (prevents premature destruction).
+     */
+    OTelHookImpl(HandlerType const& handler, std::shared_ptr<OTelCollectorImp> const& impl);
+
+    ~OTelHookImpl() override;
+
+    /**
+     * @brief Invoke the stored handler.
+     *
+     * Called by the collector during observable gauge callbacks to give
+     * metric producers a chance to update gauge values before export.
+     */
+    void
+    callHandler();
+
+private:
+    OTelHookImpl&
+    operator=(OTelHookImpl const&);
+
+    /** Owning collector. Prevents collector destruction while hook alive. */
+    std::shared_ptr<OTelCollectorImp> m_impl;
+
+    /** User-supplied handler called at each collection interval. */
+    HandlerType m_handler;
+};
+
+//------------------------------------------------------------------------------
+
+/**
+ * @brief OTel-backed implementation of beast::insight::CounterImpl.
+ *
+ * Wraps an OTel Counter<int64_t> instrument. Each increment() call
+ * is forwarded directly to the OTel counter's Add() method. The
+ * PeriodicMetricReader collects and exports the accumulated delta.
+ *
+ * Thread safety: OTel Counter::Add() is thread-safe by specification.
+ */
+class OTelCounterImpl : public CounterImpl
+{
+public:
+    /**
+     * @param name   Fully-qualified metric name (prefix.group.name).
+     * @param meter  OTel Meter used to create the counter instrument.
+     */
+    OTelCounterImpl(
+        std::string const& name,
+        opentelemetry::nostd::shared_ptr<metrics_api::Meter> const& meter);
+
+    ~OTelCounterImpl() override = default;
+
+    /**
+     * @brief Add amount to the counter.
+     * @param amount  Value to add (must be non-negative for OTel counters).
+     */
+    void
+    increment(value_type amount) override;
+
+private:
+    OTelCounterImpl&
+    operator=(OTelCounterImpl const&);
+
+    /** OTel synchronous counter instrument. */
+    opentelemetry::nostd::unique_ptr<metrics_api::Counter<uint64_t>> m_counter;
+};
+
+//------------------------------------------------------------------------------
+
+/**
+ * @brief OTel-backed implementation of beast::insight::EventImpl.
+ *
+ * Wraps an OTel Histogram<double> instrument. Each notify() call
+ * records the duration in milliseconds. Uses explicit bucket boundaries
+ * matching the SpanMetrics connector configuration:
+ *   [1, 5, 10, 25, 50, 100, 250, 500, 1000, 5000] ms
+ *
+ * Thread safety: OTel Histogram::Record() is thread-safe by specification.
+ */
+class OTelEventImpl : public EventImpl
+{
+public:
+    /**
+     * @param name   Fully-qualified metric name (prefix.group.name).
+     * @param meter  OTel Meter used to create the histogram instrument.
+     */
+    OTelEventImpl(
+        std::string const& name,
+        opentelemetry::nostd::shared_ptr<metrics_api::Meter> const& meter);
+
+    ~OTelEventImpl() override = default;
+
+    /**
+     * @brief Record a duration measurement.
+     * @param value  Duration in milliseconds.
+     */
+    void
+    notify(value_type const& value) override;
+
+private:
+    OTelEventImpl&
+    operator=(OTelEventImpl const&);
+
+    /** OTel histogram instrument for recording durations. */
+    opentelemetry::nostd::unique_ptr<metrics_api::Histogram<double>> m_histogram;
+};
+
+//------------------------------------------------------------------------------
+
+/**
+ * @brief OTel-backed implementation of beast::insight::GaugeImpl.
+ *
+ * Uses an atomic int64_t to store the current gauge value. The OTel SDK
+ * reads this value via an ObservableGauge async callback during each
+ * collection cycle. The set() and increment() methods update the
+ * atomic value without blocking the collection thread.
+ *
+ * Design note: OTel gauges are asynchronous (observable) instruments.
+ * The SDK calls a registered callback to read the value rather than
+ * accepting push-style updates. We bridge the beast::insight push-style
+ * API to OTel's pull-style API via the atomic variable.
+ *
+ * Thread safety: std::atomic operations are lock-free on all platforms.
+ */
+class OTelGaugeImpl : public GaugeImpl
+{
+public:
+    /**
+     * @param name       Fully-qualified metric name (prefix.group.name).
+     * @param meter      OTel Meter used to create the observable gauge.
+     * @param collector  Owning collector, used to invoke hooks before reads.
+     */
+    OTelGaugeImpl(
+        std::string const& name,
+        opentelemetry::nostd::shared_ptr<metrics_api::Meter> const& meter,
+        std::shared_ptr<OTelCollectorImp> const& collector);
+
+    ~OTelGaugeImpl() override;
+
+    /**
+     * @brief Set the gauge to an absolute value.
+     * @param value  New gauge value.
+     */
+    void
+    set(value_type value) override;
+
+    /**
+     * @brief Increment (or decrement) the gauge by a signed amount.
+     *
+     * Clamps the result to [0, UINT64_MAX] to match StatsDGaugeImpl
+     * behavior.
+     *
+     * @param amount  Signed amount to add to the current value.
+     */
+    void
+    increment(difference_type amount) override;
+
+    /**
+     * @brief Return the current gauge value for the OTel callback.
+     * @return The most recently set/incremented value.
+     */
+    int64_t
+    currentValue() const;
+
+private:
+    OTelGaugeImpl&
+    operator=(OTelGaugeImpl const&);
+
+    /** Current gauge value, updated atomically by set()/increment(). */
+    std::atomic<int64_t> m_value{0};
+
+    /** OTel observable gauge handle (prevents deregistration). */
+    opentelemetry::nostd::shared_ptr<metrics_api::ObservableInstrument> m_gauge;
+
+    /** Owning collector, used to invoke hooks before reading gauge values. */
+    std::shared_ptr<OTelCollectorImp> m_collector;
+};
+
+//------------------------------------------------------------------------------
+
+/**
+ * @brief OTel-backed implementation of beast::insight::MeterImpl.
+ *
+ * Wraps an OTel Counter<uint64_t> instrument. Semantically identical
+ * to Counter but uses unsigned values. The OTel SDK accumulates deltas
+ * and exports them via the PeriodicMetricReader.
+ *
+ * Note: In StatsD, Meter used the non-standard "|m" type which was
+ * silently dropped by the OTel StatsD receiver. With native OTel,
+ * Meter values are properly captured as counter deltas.
+ *
+ * Thread safety: OTel Counter::Add() is thread-safe by specification.
+ */
+class OTelMeterImpl : public MeterImpl
+{
+public:
+    /**
+     * @param name   Fully-qualified metric name (prefix.group.name).
+     * @param meter  OTel Meter used to create the counter instrument.
+     */
+    OTelMeterImpl(
+        std::string const& name,
+        opentelemetry::nostd::shared_ptr<metrics_api::Meter> const& meter);
+
+    ~OTelMeterImpl() override = default;
+
+    /**
+     * @brief Add amount to the meter.
+     * @param amount  Value to add (unsigned).
+     */
+    void
+    increment(value_type amount) override;
+
+private:
+    OTelMeterImpl&
+    operator=(OTelMeterImpl const&);
+
+    /** OTel synchronous counter instrument (unsigned). */
+    opentelemetry::nostd::unique_ptr<metrics_api::Counter<uint64_t>> m_counter;
+};
+
+//------------------------------------------------------------------------------
+
+/**
+ * @brief Main OTel Collector implementation.
+ *
+ * Creates an OTel MeterProvider with a PeriodicMetricReader that
+ * exports metrics via OTLP/HTTP at 1-second intervals. Implements
+ * all Collector::make_*() factory methods to create OTel-backed
+ * instrument wrappers.
+ *
+ * Class diagram:
+ *
+ *   +------------------+      +------------------+
+ *   | Collector (ABC)  |<-----| OTelCollector    |
+ *   +------------------+      | (public header)  |
+ *          ^                  +------------------+
+ *          |                          ^
+ *   +------------------+             |
+ *   | OTelCollectorImp |-------------+
+ *   +------------------+
+ *   | - m_journal      |
+ *   | - m_prefix       |
+ *   | - m_provider     |     +---------------------+
+ *   | - m_otelMeter    |---->| OTel MeterProvider   |
+ *   | - m_hooks[]      |     | + PeriodicReader     |
+ *   | - m_gauges[]     |     | + OtlpHttpExporter   |
+ *   +------------------+     +---------------------+
+ *
+ * Lifecycle:
+ *   1. Constructor creates MeterProvider + exporter pipeline.
+ *   2. make_*() methods create instruments registered with the provider.
+ *   3. PeriodicMetricReader collects every 1s, calling observable callbacks.
+ *   4. Observable callbacks invoke hooks, read gauge atomics.
+ *   5. Destructor shuts down MeterProvider (flushes pending exports).
+ *
+ * Caveats:
+ *   - Observable gauge callbacks run on the SDK's internal thread. Hook
+ *     handlers must be thread-safe.
+ *   - Metric names are formed as "prefix_name" with dots replaced by
+ *     underscores to match StatsD->Prometheus naming conventions.
+ *   - The OTel Prometheus exporter appends "_total" to counters. The
+ *     metric names we register do NOT include this suffix — Prometheus
+ *     adds it automatically.
+ *
+ * Example usage:
+ * @code
+ *   auto collector = OTelCollector::New(
+ *       "http://localhost:4318/v1/metrics", "rippled", journal);
+ *   auto counter = collector->make_counter("rpc.requests");
+ *   counter.increment(1);
+ *   // Metric "rippled_rpc_requests" exported via OTLP every 1s.
+ * @endcode
+ */
+class OTelCollectorImp : public OTelCollector, public std::enable_shared_from_this<OTelCollectorImp>
+{
+public:
+    /**
+     * @brief Construct the OTel collector and initialize the export pipeline.
+     *
+     * @param endpoint    OTLP/HTTP metrics endpoint URL.
+     * @param prefix      Prefix for all metric names.
+     * @param instanceId  Value for the service.instance.id resource attribute.
+     *                    When empty, the attribute is omitted.
+     * @param journal     Journal for logging.
+     */
+    OTelCollectorImp(
+        std::string const& endpoint,
+        std::string const& prefix,
+        std::string const& instanceId,
+        Journal journal);
+
+    /**
+     * @brief Shut down the MeterProvider, flushing any pending exports.
+     */
+    ~OTelCollectorImp() override;
+
+    /** @name Collector interface implementation */
+    /** @{ */
+    Hook
+    make_hook(HookImpl::HandlerType const& handler) override;
+
+    Counter
+    make_counter(std::string const& name) override;
+
+    Event
+    make_event(std::string const& name) override;
+
+    Gauge
+    make_gauge(std::string const& name) override;
+
+    Meter
+    make_meter(std::string const& name) override;
+    /** @} */
+
+    /** @name Hook management for observable callbacks */
+    /** @{ */
+
+    /**
+     * @brief Register a hook for periodic invocation.
+     * @param hook  Pointer to the hook to register.
+     */
+    void
+    addHook(OTelHookImpl* hook);
+
+    /**
+     * @brief Unregister a hook.
+     * @param hook  Pointer to the hook to unregister.
+     */
+    void
+    removeHook(OTelHookImpl* hook);
+
+    /**
+     * @brief Invoke all registered hooks.
+     *
+     * Called from observable gauge callbacks before reading gauge values,
+     * so that hook handlers have a chance to update metrics.
+     */
+    void
+    callHooks();
+    /** @} */
+
+    /** @name Gauge registration for observable callbacks */
+    /** @{ */
+
+    /**
+     * @brief Register a gauge for observable callback reading.
+     * @param gauge  Pointer to the gauge to register.
+     */
+    void
+    addGauge(OTelGaugeImpl* gauge);
+
+    /**
+     * @brief Unregister a gauge.
+     * @param gauge  Pointer to the gauge to unregister.
+     */
+    void
+    removeGauge(OTelGaugeImpl* gauge);
+    /** @} */
+
+    /**
+     * @brief Get the OTel Meter instance for creating instruments.
+     * @return Shared pointer to the OTel Meter.
+     */
+    opentelemetry::nostd::shared_ptr<metrics_api::Meter> const&
+    otelMeter() const;
+
+    /**
+     * @brief Format a metric name with the configured prefix.
+     *
+     * Replaces dots with underscores to match StatsD->Prometheus naming.
+     * Example: prefix="rippled", name="LedgerMaster.Validated_Ledger_Age"
+     *   -> "rippled_LedgerMaster_Validated_Ledger_Age"
+     *
+     * @param name  Raw metric name from beast::insight callers.
+     * @return Fully-qualified metric name.
+     */
+    std::string
+    formatName(std::string const& name) const;
+
+private:
+    /** Journal for log output. */
+    Journal m_journal;
+
+    /** Prefix for all metric names (e.g., "rippled"). */
+    std::string m_prefix;
+
+    /** OTel SDK MeterProvider owning the export pipeline. RAII lifecycle. */
+    std::shared_ptr<metrics_sdk::MeterProvider> m_provider;
+
+    /** OTel Meter used to create all instruments. */
+    opentelemetry::nostd::shared_ptr<metrics_api::Meter> m_otelMeter;
+
+    /** Mutex protecting hook and gauge registration lists. */
+    std::mutex m_mutex;
+
+    /** Registered hooks called during observable callbacks. */
+    std::vector<OTelHookImpl*> m_hooks;
+
+    /** Registered gauges read during observable callbacks. */
+    std::vector<OTelGaugeImpl*> m_gauges;
+
+    /**
+     * @brief Debounce timestamp for callHooks().
+     *
+     * Multiple gauge callbacks fire during the same collection cycle.
+     * This atomic tracks the last time hooks were invoked (ms since epoch).
+     * Hooks are called at most once per 500ms window to avoid redundant
+     * invocations while still ensuring fresh values each collection cycle.
+     */
+    std::atomic<int64_t> m_lastHookCallMs{0};
+};
+
+//==============================================================================
+// Implementation
+//==============================================================================
+
+//------------------------------------------------------------------------------
+// OTelHookImpl
+//------------------------------------------------------------------------------
+
+OTelHookImpl::OTelHookImpl(
+    HandlerType const& handler,
+    std::shared_ptr<OTelCollectorImp> const& impl)
+    : m_impl(impl), m_handler(handler)
+{
+    m_impl->addHook(this);
+}
+
+OTelHookImpl::~OTelHookImpl()
+{
+    m_impl->removeHook(this);
+}
+
+void
+OTelHookImpl::callHandler()
+{
+    m_handler();
+}
+
+//------------------------------------------------------------------------------
+// OTelCounterImpl
+//------------------------------------------------------------------------------
+
+OTelCounterImpl::OTelCounterImpl(
+    std::string const& name,
+    opentelemetry::nostd::shared_ptr<metrics_api::Meter> const& meter)
+    : m_counter(meter->CreateUInt64Counter(name))
+{
+}
+
+void
+OTelCounterImpl::increment(value_type amount)
+{
+    // OTel counters require non-negative values. beast::insight CounterImpl
+    // uses int64_t, so clamp negative values to 0 and cast to uint64_t.
+    if (amount > 0)
+        m_counter->Add(static_cast<uint64_t>(amount));
+}
+
+//------------------------------------------------------------------------------
+// OTelEventImpl
+//------------------------------------------------------------------------------
+
+OTelEventImpl::OTelEventImpl(
+    std::string const& name,
+    opentelemetry::nostd::shared_ptr<metrics_api::Meter> const& meter)
+    : m_histogram(meter->CreateDoubleHistogram(name, "Duration in ms", "ms"))
+{
+}
+
+void
+OTelEventImpl::notify(value_type const& value)
+{
+    m_histogram->Record(static_cast<double>(value.count()), opentelemetry::context::Context{});
+}
+
+//------------------------------------------------------------------------------
+// OTelGaugeImpl
+//------------------------------------------------------------------------------
+
+OTelGaugeImpl::OTelGaugeImpl(
+    std::string const& name,
+    opentelemetry::nostd::shared_ptr<metrics_api::Meter> const& meter,
+    std::shared_ptr<OTelCollectorImp> const& collector)
+    : m_gauge(meter->CreateInt64ObservableGauge(name)), m_collector(collector)
+{
+    m_collector->addGauge(this);
+
+    // Register the async callback that the SDK calls during collection.
+    // Before reading the gauge value, invoke all registered hooks so that
+    // hook handlers (e.g. NetworkOPs State_Accounting) have a chance to
+    // update gauge values. callHooks() uses a debounce timestamp so hooks
+    // run at most once per collection cycle even with many gauges.
+    m_gauge->AddCallback(
+        [](opentelemetry::metrics::ObserverResult result, void* state) {
+            auto* self = static_cast<OTelGaugeImpl*>(state);
+            self->m_collector->callHooks();
+            if (auto intResult = opentelemetry::nostd::get_if<opentelemetry::nostd::shared_ptr<
+                    opentelemetry::metrics::ObserverResultT<int64_t>>>(&result))
+            {
+                (*intResult)->Observe(self->currentValue());
+            }
+        },
+        this);
+}
+
+OTelGaugeImpl::~OTelGaugeImpl()
+{
+    m_collector->removeGauge(this);
+}
+
+void
+OTelGaugeImpl::set(value_type value)
+{
+    m_value.store(static_cast<int64_t>(value), std::memory_order_relaxed);
+}
+
+void
+OTelGaugeImpl::increment(difference_type amount)
+{
+    // Use compare-exchange loop to safely clamp to [0, MAX].
+    int64_t current = m_value.load(std::memory_order_relaxed);
+    int64_t desired;
+    do
+    {
+        desired = current + amount;
+        // Clamp to 0 on underflow.
+        if (desired < 0)
+            desired = 0;
+    } while (!m_value.compare_exchange_weak(current, desired, std::memory_order_relaxed));
+}
+
+int64_t
+OTelGaugeImpl::currentValue() const
+{
+    return m_value.load(std::memory_order_relaxed);
+}
+
+//------------------------------------------------------------------------------
+// OTelMeterImpl
+//------------------------------------------------------------------------------
+
+OTelMeterImpl::OTelMeterImpl(
+    std::string const& name,
+    opentelemetry::nostd::shared_ptr<metrics_api::Meter> const& meter)
+    : m_counter(meter->CreateUInt64Counter(name))
+{
+}
+
+void
+OTelMeterImpl::increment(value_type amount)
+{
+    m_counter->Add(amount);
+}
+
+//------------------------------------------------------------------------------
+// OTelCollectorImp
+//------------------------------------------------------------------------------
+
+OTelCollectorImp::OTelCollectorImp(
+    std::string const& endpoint,
+    std::string const& prefix,
+    std::string const& instanceId,
+    Journal journal)
+    : m_journal(journal), m_prefix(prefix)
+{
+    if (m_journal.info())
+        m_journal.info() << "OTelCollector starting: endpoint=" << endpoint
+                         << " prefix=" << m_prefix;
+
+    // Configure OTLP HTTP metric exporter.
+    otlp_http::OtlpHttpMetricExporterOptions exporterOpts;
+    exporterOpts.url = endpoint;
+
+    auto exporter = otlp_http::OtlpHttpMetricExporterFactory::Create(exporterOpts);
+
+    // Configure periodic metric reader (1-second export interval).
+    metrics_sdk::PeriodicExportingMetricReaderOptions readerOpts;
+    readerOpts.export_interval_millis = std::chrono::milliseconds(1000);
+    readerOpts.export_timeout_millis = std::chrono::milliseconds(500);
+
+    auto reader =
+        metrics_sdk::PeriodicExportingMetricReaderFactory::Create(std::move(exporter), readerOpts);
+
+    // Configure resource attributes matching the trace exporter.
+    // Include service.instance.id when provided so Prometheus
+    // exported_instance labels distinguish multi-node deployments.
+    resource::ResourceAttributes attrs;
+    attrs[resource::SemanticConventions::kServiceName] = "rippled";
+    if (!instanceId.empty())
+        attrs[resource::SemanticConventions::kServiceInstanceId] = instanceId;
+    auto resourceAttrs = resource::Resource::Create(attrs);
+
+    // Create MeterProvider with resource, then attach the metric reader.
+    m_provider = metrics_sdk::MeterProviderFactory::Create(
+        std::make_unique<metrics_sdk::ViewRegistry>(), resourceAttrs);
+    m_provider->AddMetricReader(std::move(reader));
+
+    // Configure histogram bucket boundaries for Event instruments.
+    // These match the SpanMetrics connector buckets for consistency.
+    auto histogramSelector = metrics_sdk::InstrumentSelectorFactory::Create(
+        metrics_sdk::InstrumentType::kHistogram, "*", "ms");
+    auto meterSelector = metrics_sdk::MeterSelectorFactory::Create("rippled_metrics", "", "");
+    auto histogramConfig = std::make_shared<metrics_sdk::HistogramAggregationConfig>();
+    histogramConfig->boundaries_ =
+        std::vector<double>{1.0, 5.0, 10.0, 25.0, 50.0, 100.0, 250.0, 500.0, 1000.0, 5000.0};
+    auto histogramView = metrics_sdk::ViewFactory::Create(
+        "default_histogram",
+        "Default histogram view with SpanMetrics-compatible buckets",
+        "ms",
+        metrics_sdk::AggregationType::kHistogram,
+        std::move(histogramConfig));
+
+    m_provider->AddView(
+        std::move(histogramSelector), std::move(meterSelector), std::move(histogramView));
+
+    // Create the OTel Meter for creating instruments.
+    m_otelMeter = m_provider->GetMeter("rippled_metrics", "1.0.0");
+
+    if (m_journal.info())
+        m_journal.info() << "OTelCollector started successfully";
+}
+
+OTelCollectorImp::~OTelCollectorImp()
+{
+    if (m_journal.info())
+        m_journal.info() << "OTelCollector shutting down";
+    if (m_provider)
+    {
+        // ForceFlush to export any pending metrics before shutdown.
+        m_provider->ForceFlush();
+        m_provider->Shutdown();
+    }
+    if (m_journal.info())
+        m_journal.info() << "OTelCollector stopped";
+}
+
+Hook
+OTelCollectorImp::make_hook(HookImpl::HandlerType const& handler)
+{
+    return Hook(std::make_shared<OTelHookImpl>(handler, shared_from_this()));
+}
+
+Counter
+OTelCollectorImp::make_counter(std::string const& name)
+{
+    return Counter(std::make_shared<OTelCounterImpl>(formatName(name), m_otelMeter));
+}
+
+Event
+OTelCollectorImp::make_event(std::string const& name)
+{
+    return Event(std::make_shared<OTelEventImpl>(formatName(name), m_otelMeter));
+}
+
+Gauge
+OTelCollectorImp::make_gauge(std::string const& name)
+{
+    return Gauge(
+        std::make_shared<OTelGaugeImpl>(formatName(name), m_otelMeter, shared_from_this()));
+}
+
+Meter
+OTelCollectorImp::make_meter(std::string const& name)
+{
+    return Meter(std::make_shared<OTelMeterImpl>(formatName(name), m_otelMeter));
+}
+
+void
+OTelCollectorImp::addHook(OTelHookImpl* hook)
+{
+    std::lock_guard lock(m_mutex);
+    m_hooks.push_back(hook);
+}
+
+void
+OTelCollectorImp::removeHook(OTelHookImpl* hook)
+{
+    std::lock_guard lock(m_mutex);
+    m_hooks.erase(std::remove(m_hooks.begin(), m_hooks.end(), hook), m_hooks.end());
+}
+
+void
+OTelCollectorImp::callHooks()
+{
+    // Debounce: hooks run at most once per 500ms. Multiple gauge callbacks
+    // fire during the same collection cycle — only the first one triggers
+    // hooks. Subsequent callbacks within the window read already-updated
+    // gauge values.
+    auto now = std::chrono::duration_cast<std::chrono::milliseconds>(
+                   std::chrono::steady_clock::now().time_since_epoch())
+                   .count();
+    auto last = m_lastHookCallMs.load(std::memory_order_relaxed);
+    if (now - last < 500)
+        return;
+    if (!m_lastHookCallMs.compare_exchange_strong(last, now, std::memory_order_relaxed))
+        return;  // Another thread won the race.
+
+    std::lock_guard lock(m_mutex);
+    for (auto* hook : m_hooks)
+        hook->callHandler();
+}
+
+void
+OTelCollectorImp::addGauge(OTelGaugeImpl* gauge)
+{
+    std::lock_guard lock(m_mutex);
+    m_gauges.push_back(gauge);
+}
+
+void
+OTelCollectorImp::removeGauge(OTelGaugeImpl* gauge)
+{
+    std::lock_guard lock(m_mutex);
+    m_gauges.erase(std::remove(m_gauges.begin(), m_gauges.end(), gauge), m_gauges.end());
+}
+
+opentelemetry::nostd::shared_ptr<metrics_api::Meter> const&
+OTelCollectorImp::otelMeter() const
+{
+    return m_otelMeter;
+}
+
+std::string
+OTelCollectorImp::formatName(std::string const& name) const
+{
+    // StatsD uses "prefix.group.name" format. The OTel StatsD receiver
+    // converts dots to underscores for Prometheus. We replicate this
+    // to preserve metric name compatibility.
+    //
+    // Example: prefix="rippled", name="LedgerMaster.Validated_Ledger_Age"
+    //   -> "rippled_LedgerMaster_Validated_Ledger_Age"
+    std::string result;
+    if (!m_prefix.empty())
+    {
+        result = m_prefix;
+        result += '_';
+    }
+    for (char c : name)
+    {
+        result += (c == '.') ? '_' : c;
+    }
+    return result;
+}
+
+}  // namespace detail
+
+//------------------------------------------------------------------------------
+
+std::shared_ptr<Collector>
+OTelCollector::New(
+    std::string const& endpoint,
+    std::string const& prefix,
+    std::string const& instanceId,
+    Journal journal)
+{
+    return std::make_shared<detail::OTelCollectorImp>(endpoint, prefix, instanceId, journal);
+}
+
+}  // namespace insight
+}  // namespace beast
+
+#else  // !XRPL_ENABLE_TELEMETRY
+
+// When telemetry is disabled at compile time, OTelCollector::New()
+// returns a NullCollector so callers do not need conditional logic.
+
+#include <xrpl/beast/insight/NullCollector.h>
+#include <xrpl/beast/insight/OTelCollector.h>
+
+namespace beast {
+namespace insight {
+
+std::shared_ptr<Collector>
+OTelCollector::New(
+    std::string const& /* endpoint */,
+    std::string const& /* prefix */,
+    std::string const& /* instanceId */,
+    Journal /* journal */)
+{
+    return NullCollector::New();
+}
+
+}  // namespace insight
+}  // namespace beast
+
+#endif  // XRPL_ENABLE_TELEMETRY
--- a/Show More
+++ b/Show More
Author	SHA1	Message	Date
Pratik Mankawde	767f423ec4	Phase 8: Log-trace correlation with Loki and filelog receiver Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>	2026-03-24 19:25:00 +00:00
Pratik Mankawde	3c6d7f1c48	Phase 7: Native OTel metrics migration Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>	2026-03-24 19:23:51 +00:00
Pratik Mankawde	73443096e5	Phase 6: StatsD metrics integration into telemetry pipeline Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>	2026-03-24 19:21:55 +00:00
Pratik Mankawde	94bef31c84	Phase 5b: Ledger, peer, and tx spans with expanded Grafana dashboards Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>	2026-03-24 19:19:28 +00:00
Pratik Mankawde	0fc3f6b5c2	Phase 5: Documentation, deployment configs, integration test infrastructure Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>	2026-03-24 19:18:33 +00:00
Pratik Mankawde	41e4f0a240	Phase 4: Consensus tracing - round lifecycle, proposals, validations, close time Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>	2026-03-24 19:18:12 +00:00
Pratik Mankawde	b4e5a60e7c	Phase 4: Consensus tracing - round lifecycle, proposals, validations, close time Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>	2026-03-24 19:17:59 +00:00
Pratik Mankawde	9d62d6d4cd	Phase 3: Transaction tracing - protobuf context propagation, PeerImp, NetworkOPs Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>	2026-03-24 19:17:37 +00:00
Pratik Mankawde	9b0ce6da08	Phase 2: RPC tracing - span macros, attributes, WebSocket, command spans Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>	2026-03-24 19:17:05 +00:00
Pratik Mankawde	833559c183	Phase 1b: Telemetry core infrastructure - CMake, Conan, SpanGuard, config Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>	2026-03-24 19:15:00 +00:00
Pratik Mankawde	26bc7e7321	Phase 1c: RPC integration - ServerHandler tracing, telemetry config wiring Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>	2026-03-24 19:14:41 +00:00
Pratik Mankawde	a726c62885	Phase 1b: Telemetry core infrastructure - CMake, Conan, SpanGuard, config Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>	2026-03-24 19:14:41 +00:00
Pratik Mankawde	6c39ad86ef	Phase 1b: Telemetry core infrastructure - CMake, Conan, SpanGuard, config Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>	2026-03-24 19:14:20 +00:00
Pratik Mankawde	180838d985	docs: correct OTel overhead estimates against SDK benchmarks Verified CPU, memory, and network overhead calculations against official OTel C++ SDK benchmarks (969 CI runs) and source code analysis. Key corrections: - Span creation: 200-500ns → 500-1000ns (SDK BM_SpanCreation median ~1000ns; original estimate matched API no-op, not SDK path) - Per-TX overhead: 2.4μs → 4.0μs (2.0% vs 1.2%; still within 1-3%) - Active span memory: ~200 bytes → ~500-800 bytes (Span wrapper + SpanData + std::map attribute storage) - Static memory: ~456KB → ~8.3MB (BatchSpanProcessor worker thread stack ~8MB was omitted) - Total memory ceiling: ~2.3MB → ~10MB - Memory success metric target: <5MB → <10MB - AddEvent: 50-80ns → 100-200ns Added Section 3.5.4 with links to all benchmark sources. Updated presentation.md with matching corrections. High-level conclusions unchanged (1-3% CPU, negligible consensus). Also includes: review fixes, cross-document consistency improvements, additional component tracing docs (PathFinding, TxQ, Validator, etc.), context size corrections (32 → 25 bytes). Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>	2026-03-24 19:11:12 +00:00
Pratik Mankawde	9ff66f03a6	Merge branch 'develop' into pratik/otel-phase1a-plan-docs	2026-03-24 16:33:15 +00:00
Pratik Mankawde	30d1c286c9	Merge remote-tracking branch 'origin/develop' into pratik/otel-phase1a-plan-docs	2026-03-24 16:26:14 +00:00
Pratik Mankawde	402933af78	moved presentation.md file Signed-off-by: Pratik Mankawde <3397372+pratikmankawde@users.noreply.github.com>	2026-03-24 16:26:03 +00:00
Pratik Mankawde	346927d673	Merge branch 'develop' into pratik/otel-phase1a-plan-docs	2026-03-20 16:55:10 +00:00
Pratik Mankawde	3cc13976dc	Remove effort estimates from implementation phases document Strip effort/risk columns from task tables and remove the §6.9 Effort Summary section with its pie chart and resource requirements table. Renumber §6.10 Quick Wins → §6.9. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>	2026-03-17 15:00:19 +00:00
Pratik Mankawde	fe6cd31762	Add Phase 4a implementation status to plan docs Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>	2026-03-12 22:08:13 +00:00
Pratik Mankawde	fd18cf9e01	Merge remote-tracking branch 'origin/develop' into pratik/otel-phase1a-plan-docs	2026-03-11 14:58:44 +00:00
Pratik Mankawde	d6bf13394e	Appendix: add 00-tracing-fundamentals.md and POC_taskList.md to document index Split document index into Plan Documents and Task Lists sections. These files were introduced in this branch but missing from the index. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>	2026-03-09 19:03:09 +00:00
Pratik Mankawde	34243e0cc2	Phase 1a: OpenTelemetry plan documentation Add comprehensive planning documentation for the OpenTelemetry distributed tracing integration: - Tracing fundamentals and concepts - Architecture analysis of rippled's tracing surface area - Design decisions and trade-offs - Implementation strategy and code samples - Configuration reference - Implementation phases roadmap - Observability backend comparison - POC task list and presentation materials Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>	2026-03-09 19:03:09 +00:00