mirror of
https://github.com/XRPLF/rippled.git
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761688383d
- Fix use-after-free: extract gauge callback to static function and call RemoveCallback in ~OTelGaugeImpl() before unregistering from collector - Use memory_order_acq_rel on callHooks() debounce CAS for proper happens-before relationship between hook invocations - Add explicit 2s timeout to ForceFlush() in destructor to prevent blocking indefinitely when OTLP endpoint is unreachable at shutdown - Add OTLP receiver to metrics pipeline so native OTel metrics from xrpld are actually received by the collector - Remove stale health check port from docker-compose (extension was removed from collector config) - Clarify fallback docs: StatsD path requires re-enabling receiver/port - Fix comments: Counter uses uint64_t not int64_t, gauge clamps to [0, INT64_MAX] not [0, UINT64_MAX] Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
97 lines
3.3 KiB
YAML
97 lines
3.3 KiB
YAML
# Docker Compose stack for xrpld OpenTelemetry observability.
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#
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# Provides services for local development:
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# - otel-collector: receives OTLP traces from xrpld, batches and
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# forwards them to Tempo. Listens on ports 4317 (gRPC)
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# and 4318 (HTTP).
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# - tempo: Grafana Tempo tracing backend, queryable via Grafana Explore
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# on port 3000. Recommended for production (S3/GCS storage, TraceQL).
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# - grafana: dashboards on port 3000, pre-configured with Tempo
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# and Prometheus datasources.
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#
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# Usage:
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# docker compose -f docker/telemetry/docker-compose.yml up -d
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#
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# Configure xrpld to export traces by adding to xrpld.cfg:
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# [telemetry]
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# enabled=1
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# endpoint=http://localhost:4318/v1/traces
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services:
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# OpenTelemetry Collector: receives spans from xrpld via OTLP protocol,
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# batches them for efficiency, and forwards to Tempo for storage.
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otel-collector:
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image: otel/opentelemetry-collector-contrib:0.121.0
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command: ["--config=/etc/otel-collector-config.yaml"]
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ports:
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- "4317:4317" # OTLP gRPC
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- "4318:4318" # OTLP HTTP (traces + native OTel metrics)
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- "8889:8889" # Prometheus metrics (spanmetrics + OTLP)
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# StatsD UDP port removed — beast::insight now uses native OTLP.
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# Uncomment if using server=statsd fallback:
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# - "8125:8125/udp"
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volumes:
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# Mount collector pipeline config (receivers → processors → exporters)
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- ./otel-collector-config.yaml:/etc/otel-collector-config.yaml:ro
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depends_on:
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- tempo
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networks:
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- xrpld-telemetry
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# Grafana Tempo: distributed tracing backend that stores and indexes
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# spans. Queryable via TraceQL in Grafana Explore.
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tempo:
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image: grafana/tempo:2.7.2
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command: ["-config.file=/etc/tempo.yaml"]
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ports:
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- "3200:3200" # Tempo HTTP API (health check, query)
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volumes:
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# Mount Tempo storage and ingestion config
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- ./tempo.yaml:/etc/tempo.yaml:ro
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# Persistent volume for trace data (WAL + blocks)
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- tempo-data:/var/tempo
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networks:
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- xrpld-telemetry
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prometheus:
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image: prom/prometheus:latest
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ports:
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- "9090:9090"
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volumes:
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- ./prometheus.yml:/etc/prometheus/prometheus.yml:ro
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depends_on:
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- otel-collector
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networks:
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- xrpld-telemetry
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# Grafana: visualization UI with Tempo pre-configured as a datasource.
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# Anonymous admin access enabled for local development convenience.
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grafana:
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image: grafana/grafana:11.5.2
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environment:
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- GF_AUTH_ANONYMOUS_ENABLED=true # No login required for local dev
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- GF_AUTH_ANONYMOUS_ORG_ROLE=Admin # Full access without auth
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ports:
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- "3000:3000" # Grafana web UI
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volumes:
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# Auto-provision Tempo datasource and search filters on startup
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- ./grafana/provisioning:/etc/grafana/provisioning:ro
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- ./grafana/dashboards:/var/lib/grafana/dashboards:ro
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depends_on:
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- tempo
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- prometheus
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networks:
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- xrpld-telemetry
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# Named volume for Tempo trace storage (WAL and compacted blocks).
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# Data persists across container restarts. Remove with:
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# docker compose -f docker/telemetry/docker-compose.yml down -v
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volumes:
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tempo-data:
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# Isolated bridge network so services communicate by container name
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# (e.g., the collector reaches Tempo at http://tempo:4317).
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networks:
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xrpld-telemetry:
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driver: bridge
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