Add resource/tier to the logs pipeline so log records carry the same
deployment.environment and xrpl.network.type attributes as traces and
metrics. This lets a single Grafana stack filter logs by tier alongside
the other signals. resource/logs still runs first to set service.name
and the job label; resource/tier then adds the tier attributes.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
The native OTel metrics path hard-coded service.name="xrpld" and stamped
no network attribute, while traces stamped a configurable service.name
and xrpl.network.type. Metrics therefore could not be filtered by service
or network. Align the two paths:
- OTelCollector::New / OTelCollectorImp gain serviceName + networkType
params. service.name uses the configured value (default "xrpld" when
unset, preserving today's behavior); xrpl.network.type is stamped when
provided. The key is a string literal because beast/insight sits below
the telemetry module and cannot include its SpanNames const.
- CollectorManager reads service_name from [insight], falling back to the
[telemetry] value, and receives the network type from the caller.
- Application derives the network type once via the shared
telemetry::networkTypeFromId, now declared in Telemetry.h and moved out
of an anonymous namespace so the trace and metric paths reuse a single
0/1/2 -> mainnet/testnet/devnet mapping (no duplication).
Dashboards (5 system-* files): add $service_name, $deployment_environment,
$xrpl_network_type template variables and wire them into every panel query
that filters by $node.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Extend the deployment-tier tagging to the metrics path and expose it in
the dashboards so a single Grafana stack can be sliced by environment,
network, and service:
Collector (otel-collector-config.yaml):
- prometheus exporter: enable resource_to_telemetry_conversion so
resource attributes (deployment.environment, xrpl.network.type,
service.name, service.instance.id) become Prometheus labels.
- metrics pipeline: run resource/tier so statsd metrics are tagged too.
- spanmetrics: add the tier keys to the resource-metrics grouping key
so per-tier series stay grouped separately.
Dashboards (5 files):
- add $service_name, $deployment_environment, $xrpl_network_type
template variables, named to match their Prometheus labels.
- inject the matching label filters into every panel query that
already filters by $node.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Add a resource/tier processor so each collector stamps the deployment
tier onto the signals it forwards, enabling a single Grafana stack to
hold data from many collectors and filter by tier:
- deployment.environment (upsert): the collector is authoritative for
its environment (local/ci/test/prod).
- xrpl.network.type (insert): the xrpld node already stamps its own
chain, so the collector only fills this when absent, never
overwriting a node's real network.
Wired into the traces pipeline (the only pipeline on this branch);
later phases extend it to metrics and logs as those pipelines appear.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
The Tempo datasource search filter used the stale dotted xrpl.consensus.ledger_id
tag, but the consensus.round span emits the bare consensus_ledger_id key
(ConsensusSpanNames.h). The dotted tag matched no spans and failed the Rule C
naming check. Align it with L1.
Bring native-metrics (phase 7) and the naming-check work forward into phase 8
(log correlation).
Conflict resolution — tempo.yaml datasource provisioning (search.filters):
- Took phase-7's complete 30-filter list as the base (it is the comprehensive
set), preserved phase-8's tracesToLogs Loki-correlation block, and added
phase-8's two unique filters (tx-type, ledger-hash). Verified the result is
the full union (32 filters) with no filter dropped and no duplicate ids.
- Fixed a pre-existing dotted tag carried in from phase-7: the
consensus-ledger-id filter used `xrpl.consensus.ledger_id`; the code emits
the underscore key `consensus_ledger_id` (ConsensusSpanNames.h), so the
dotted form was a dead filter. Now corrected.
Every span-scope filter tag verified to exist in the L1 *SpanNames.h key set.
Naming check green; 72 tests pass.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Bring the hardened OTel naming check (Rule E fix + 71 tests) and the phase 1-6
convention work forward into phase 7 (native metrics).
Conflict resolution:
- 05-configuration-reference.md: kept phase-7's native-OTLP metrics story
(server=otel, /v1/metrics) over phase-6's superseded StatsD scrape job, in
prose form (no code block).
- ordering.txt/loops.txt: regenerated via generate.py (not hand-edited).
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
- tempo.yaml: align consensus filter tags with emitted keys
(consensus_mode, consensus_round, ledger_seq) instead of dotted form
- haveConsensus(): set span attributes before early-return paths so the
consensus.check span carries diagnostics even when consensus is not reached
- replace hardcoded consensus phase/result/vote literals with
ConsensusSpanNames.h val constants; add val::phaseOpen/Establish/Accepted
- ConsensusReceiveTracing.h: use canonical consensus::span constants instead
of duplicate inline detail:: names
- SpanGuardFactory test: use rpc_span / consensus::span constants now that
levelization permits the dependency
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Head sampling is fixed at 1.0 and not configurable. Drop sampling_ratio
from the docker sample/test configs and the data-collection reference;
rewrite the span-metric sampling caveat and volume guidance to point at
collector-side tail sampling.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Update the docker/telemetry sample config and testing guide to set
trace_peer=1, matching the new on-by-default behavior and the other
trace categories already enabled in these all-categories sample profiles.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
The existing apply-pipeline panels show latency by stage (all types
combined) or by type (single span). Neither answers "for a given
transaction type, which stage dominates its latency". Add a p95 panel
grouped by both tx_type and stage, filterable via the $tx_type and
$stage variables. Both dimensions already exist in spanmetrics, so no
collector change is needed. Reflow the section so the full-width
failure panel sits below the new full-width panel.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Wire the apply-pipeline stage spans (tx.preflight, tx.preclaim,
tx.transactor) added on phase-3 through the observability stack so the
spanmetrics connector produces per-stage RED metrics without any native
instruments.
- collector: add the `stage` dimension to the spanmetrics connector so
the three stages split into separate metric series (3 bounded values).
- dashboard: add a "Tx Apply Pipeline" section to transaction-overview
with rate, p95 latency, and failure-rate panels grouped by stage, plus
a `stage` template variable. Panels follow the existing config (node
filter, exported_instance legends, Title Case, axis labels).
- The failure panel filters ter_result != tesSUCCESS rather than span
status, because a failing ter code completes the span normally — only
thrown exceptions set an error status. This matches the existing
"Transaction Results by Type" panel convention.
- docs: document the spans, attributes, and stage dimension in the data
collection reference and runbook, including the sampling caveat that
span-derived metrics inherit tracer head-sampling and undercount at
sampling_ratio < 1.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Reduced from 30 to 7 filters: service.instance.id, name, status, command,
tx_hash, tx_type, ledger_hash. Full attribute inventory is in
OpenTelemetryPlan/09-data-collection-reference.md §4; TraceQL autocomplete
covers the rest.
Co-Authored-By: Claude Sonnet 4.6 (1M context) <noreply@anthropic.com>
From the code-review pass:
- transaction-overview.json: the tx.process and tx.transactor latency-by-type
panels used lowercase legends (p95/p50) without the per-node dimension. Use
Title Case (P95/P50), add exported_instance to the by() clause, and include
[{{exported_instance}}] in the legend, per the dashboard legend convention.
- consensus-health.json: panel descriptions still referenced the old dotted
attribute names (xrpl.consensus.mode, xrpl.ledger.seq) after the A1 rename;
update them to the bare emitted names (consensus_mode, ledger_seq).
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
The grpc.{Method} spans (GRPCServer.cpp) and pathfind.* spans (PathRequest.cpp)
are emitted but had no dashboard coverage. The existing RPC & Pathfinding
dashboard only plotted StatsD timers. Add span-derived rows:
- gRPC Request Rate by Method (grpc.* by method)
- gRPC Latency P95 by Method
- gRPC Error Rate by Status (by grpc_status)
- Pathfinding Compute Duration (pathfind.compute p95/p50)
- Pathfinding Request & Discovery Rate (pathfind.request / pathfind.discover)
otel-collector-config.yaml: add method, grpc_role, grpc_status spanmetrics
dimensions (bounded value sets). Add a $grpc_method template variable so the
gRPC panels can be filtered by method, consistent with the dashboard filter
conventions.
Note: these spans populate only when the node serves gRPC / pathfinding
traffic; they are correct but not exercised by the current health-check
workload (they will be covered by the Phase 10 workload generator).
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
The consensus state-machine and TxQ lifecycle spans are emitted by the code
and present in Prometheus, but no panel visualised them. Add panels keyed on
those span_names (verified live) plus the low-cardinality dimensions needed to
break them down.
Consensus Health (consensus-health.json) — new rows:
- Consensus Round Duration (full round, p95/p50, mode-filterable)
- Consensus Phase Duration (open vs establish breakdown)
- Position Update Duration (update_positions p95/p50)
- Consensus Stall Rate (consensus.check by consensus_stalled)
- Consensus Mode-Change Rate by Target Mode (mode_change by mode_new)
Transaction Overview (transaction-overview.json) — new rows:
- TxQ Enqueue Rate by Transaction Type (txq.enqueue by tx_type)
- Queue Bypass Ratio (txq.apply_direct vs txq.enqueue)
- Queue Accept (Drain) Duration per Ledger (txq.accept p95/p50)
- Queue Cleanup Rate (txq.cleanup expired entries)
otel-collector-config.yaml — add spanmetrics dimensions for the lifecycle
breakdowns: mode_new, consensus_stalled, consensus_phase, consensus_result
(all bounded value sets, safe as Prometheus labels).
All new panels follow the existing dashboard template: $node filter,
exported_instance in every legend, Title Case, axis labels, row layout.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
The spanmetrics connector dimension was `xrpl.consensus.mode`, but the code
emits the span attribute under the bare key `consensus_mode` (matching every
other dimension after the Phase 6 rename). The mismatch left the
`xrpl_consensus_mode` Prometheus label empty, so the Consensus Health
"Consensus Mode Over Time" panel and the `$consensus_mode` template variable
(which filters every panel) matched no live series.
- otel-collector-config.yaml: dimension `xrpl.consensus.mode` -> `consensus_mode`
- consensus-health.json: 11 label refs `xrpl_consensus_mode` -> `consensus_mode`
(the `$consensus_mode` Grafana variable name is unchanged)
- telemetry-runbook.md: refresh the stale spanmetrics label table to the bare
names actually emitted (command/rpc_status/consensus_mode/local/
proposal_trusted/validation_trusted), fix dotted->bare attribute names in
span tables and TraceQL examples (tx_hash, ledger_seq, consensus_round_id,
consensus_ledger_id, consensus_round, tx_id event attr), correct the
consensus_round_id query to int (not quoted string), and fix the
load_type value query ("exception_rpc" -> "exceptioned RPC").
Verified against the live stack: Tempo span tags confirm bare attribute keys
(consensus_mode, ledger_seq, tx_hash, ...); the populated xrpl_consensus_mode
series in Prometheus is stale retained data from an older build.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Count and message-volume panels (operating-mode transitions, job queue
depth, network/overlay message totals, getobject message counts) used
unit "none", rendering large values as raw unscaled numbers. Switch to
"short" so Grafana abbreviates (e.g. 1.5 Mil) for readability.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
