docs(telemetry): add Phase 2-5 task lists and appendix update

Introduces task list documents for Phases 2 through 5, with Tempo
references (replacing Jaeger) and Task 2.8 dashboard parity spec.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
This commit is contained in:
Pratik Mankawde
2026-04-20 15:02:11 +01:00
parent 736579e473
commit a9ee819ea1
6 changed files with 940 additions and 4 deletions

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### Task Lists
| Document | Description |
| ------------------------------------ | --------------------------------------------------- |
| [POC_taskList.md](./POC_taskList.md) | Proof-of-concept telemetry integration |
| [presentation.md](./presentation.md) | Presentation slides for OpenTelemetry plan overview |
| 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 |
| [presentation.md](./presentation.md) | Presentation slides for OpenTelemetry plan overview |
---

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# 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
---
## Task 2.8: RPC Span Attribute Enrichment — Node Health Context
> **Source**: [External Dashboard Parity](../docs/superpowers/specs/2026-03-30-external-dashboard-parity-design.md) — adds node-level health context inspired by the community [xrpl-validator-dashboard](https://github.com/realgrapedrop/xrpl-validator-dashboard).
>
> **Downstream**: Phase 7 (MetricsRegistry uses these attributes for alerting context), Phase 10 (validation checks for these attributes).
**Objective**: Add node-level health state to every `rpc.command.*` span so operators can correlate RPC behavior with node state in Tempo.
**What to do**:
- Edit `src/xrpld/rpc/detail/RPCHandler.cpp`:
- In the `rpc.command.*` span creation block (after existing `setAttribute` calls for `xrpl.rpc.command`, `xrpl.rpc.version`, etc.):
- Add `xrpl.node.amendment_blocked` (bool) — from `context.app.getOPs().isAmendmentBlocked()`
- Add `xrpl.node.server_state` (string) — from `context.app.getOPs().strOperatingMode()`
**New span attributes**:
| Attribute | Type | Source | Example |
| ----------------------------- | ------ | ------------------------------------------- | -------- |
| `xrpl.node.amendment_blocked` | bool | `context.app.getOPs().isAmendmentBlocked()` | `true` |
| `xrpl.node.server_state` | string | `context.app.getOPs().strOperatingMode()` | `"full"` |
**Rationale**: When a node is amendment-blocked or in a degraded state, every RPC response is suspect. Tagging spans with this state enables Tempo TraceQL queries like:
```
{name=~"rpc.command.*"} | xrpl.node.amendment_blocked = true
```
This surfaces all RPCs served during a blocked period — critical for post-incident analysis.
**Key modified files**:
- `src/xrpld/rpc/detail/RPCHandler.cpp`
**Exit Criteria**:
- [ ] `rpc.command.server_info` spans carry `xrpl.node.amendment_blocked` and `xrpl.node.server_state` attributes
- [ ] No measurable latency impact (attribute values are cached atomics, not computed per-call)
- [ ] Attributes appear in Tempo trace detail view
---
## 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 |
| 2.8 | RPC span attribute enrichment (node health) | 0 | 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. Task 2.8 depends on 2.5 (existing span creation must be in place).

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# 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 Tempo
- 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

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# 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 `include/xrpl/consensus/Consensus.h` drives phase transitions — check if instrumentation goes there or in the Adaptor
**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.
**Exit Criteria** (from [06-implementation-phases.md §6.11.4](./06-implementation-phases.md)):
- [ ] Complete consensus round traces
- [ ] Phase transitions visible
- [ ] Proposals and validations traced
- [ ] No impact on consensus timing

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@@ -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) | Tempo 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/tempo, 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, Tempo, Grafana, Prometheus)
2. Build rippled with `telemetry=ON`
3. Run in standalone mode with telemetry enabled
4. Generate RPC traffic and verify traces in Tempo
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 Tempo 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

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@@ -331,3 +331,5 @@ words:
- traceql
- Gantt
- gantt
- pratik
- dedup