Rename the 5 system-* dashboard files to bare domain names (uid ==
filename stem) and update all doc references. The system- prefix was
redundant now that titles no longer carry a recorder-pipeline suffix.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Make dashboard uids bare domain names (uid == filename stem) and update
doc references. Grafana links/bookmarks to the old uids will need
refreshing.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Grafana renders the dashboard-level description as plain text (not
markdown), so the h6 headings/italics showed as literal characters.
Convert to plain 'What this shows:' / 'Use it to:' labeled lines. Panel
descriptions (which DO render markdown) are unchanged.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Consensus Health, Ledger Operations, and Transaction Overview had no
top-level description, so Grafana showed no info button. Add a one-line
summary of what each dashboard shows and its data source.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
The integration-test.sh trace queries used resource.service.name="rippled",
but the OTel resource attribute is "xrpld" (TelemetryConfig.cpp, MetricsRegistry.cpp),
so every span check and the service-registration check returned no results.
Also restore .github/scripts/rename/README.md, which an overzealous
find-and-replace had corrupted into circular no-ops (e.g. rename "xrpld" to
"xrpld"). The file documents the rename process and must retain the source
names (rippled/ripple); restored to match develop.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Every dashboard already lives in the rippled/xrpld dashboard folder and
carries domain-specific tags (consensus, rpc, statsd, etc.), so the
leading "rippled" tag added no filtering value and only cluttered the
tag list.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
- 09-data-collection-reference: add $service_name, $deployment_environment,
$xrpl_network_type to the template-variable table; note they appear on all
dashboards and point to the runbook's Deployment Tiers section.
- TESTING.md: add a Prometheus check verifying the tier labels
(deployment_environment, xrpl_network_type, service_name) are present on
metric series.
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 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>
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>
