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f68cf0d009
[telemetry] endpoint carried one OTLP signal while its name implied it covered every signal. That asymmetry is what let the metrics URL be guessed later by rewriting this one's path suffix, so anything not ending /v1/traces silently posted metrics to the traces path. Renames the key to traces_endpoint and Setup::exporterEndpoint to tracesEndpoint. The default value is unchanged and the URL is still used verbatim, with no path derived from it. The startup log line and the compose-file example name the new key, the latter being where an operator copies it from. No metrics_endpoint is added here: this branch has no metrics pipeline, so the key would parse into a member nothing reads.
81 lines
2.8 KiB
YAML
81 lines
2.8 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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# datasource.
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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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# traces_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:0.158.0
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command: ["--config=/etc/otel-collector-config.yaml"]
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ports:
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- "4317:4317" # OTLP gRPC receiver
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- "4318:4318" # OTLP HTTP receiver (xrpld sends traces here)
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- "13133:13133" # Health check endpoint
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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:2.9.4
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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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# 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:13.1.2
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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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depends_on:
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- tempo
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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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