mirror of
https://github.com/XRPLF/rippled.git
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This branch had already made the same corrections independently, and in richer form, so the resolution keeps this branch's version nearly throughout: - 09-data-collection-reference.md: this branch already documents the state-accounting gauges as cumulative **microseconds** with an explanatory callout, and already names `jobq_job_count` with its `jobq` group. Kept. - telemetry-runbook.md: already carries `jobq_job_count` in both tables. Kept, along with this branch's larger additions. - OpenTelemetryPlan.md: kept this branch's rewritten section 9 blurb, which describes the inventory without hardcoding counts and so cannot drift. - consensus-health.json: kept this branch's rewrite. It deliberately removed the four TraceQL close-time detail panels and renamed the agreement panel; the incoming side would have resurrected them. Panel count unchanged at 26. - integration-test.sh: this branch's unprefixed native metric names were kept, but it still asserted `job_count`, so the `jobq_job_count` correction was carried over. That check would otherwise always fail.
207 lines
8.8 KiB
YAML
207 lines
8.8 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. Also tails xrpld log files
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# via filelog receiver and exports to Loki. Listens on ports
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# 4317 (gRPC) 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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# - loki: Grafana Loki log aggregation backend for centralized log
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# ingestion and log-trace correlation.
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# - grafana: dashboards on port 3000, pre-configured with Tempo,
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# Prometheus, and Loki datasources.
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#
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# Requires Docker Compose >= 2.24.0. The grafana service uses the long-form
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# `env_file` mapping (`path:` / `required:`), which older Compose cannot parse —
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# and it fails for the whole file, not just that service. The long form is
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# needed: `.env.alerting` is gitignored and absent in a fresh clone, and the
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# short form treats a missing env file as an error.
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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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# One-shot init for the collector's offset store. Docker creates a fresh
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# named volume owned by root, but the collector image runs as 10001:10001
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# and ships no writable directory, so the file_storage extension could not
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# create its database and the collector would fail to start. Chown the
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# volume once, then exit; the collector waits for this to complete.
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#
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# Reuses the Prometheus image purely because the stack already pulls it and
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# it has a shell — this adds no new image dependency. The entrypoint is
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# overridden since that image normally starts the Prometheus server.
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otelcol-storage-init:
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image: prom/prometheus:v3.13.2
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user: "0:0"
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entrypoint: ["sh", "-c"]
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command: ["mkdir -p /data/file_storage && chown -R 10001:10001 /data"]
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volumes:
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- otelcol-storage:/data
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networks:
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- xrpld-telemetry
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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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# Second --config layers filelog offset persistence on top of the shared
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# base config; the collector deep-merges them. Only this stack keeps its
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# logs across restarts, so only this stack needs it.
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command:
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[
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"--config=/etc/otel-collector-config.yaml",
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"--config=/etc/otel-collector-filestorage.yaml",
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]
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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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# Dev-only overlay: persist filelog read offsets across restarts
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- ./otel-collector-filestorage.yaml:/etc/otel-collector-filestorage.yaml:ro
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# Mount the xrpld log root for the filelog receiver. The telemetry
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# configs write to docker/telemetry/data/logs/<network>/debug.log, so
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# the default source is the repo-relative ./data/logs — user-owned and
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# needing no root, so `docker compose up` works with no setup. Override
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# XRPLD_LOG_DIR to point at another root (e.g. the integration test sets
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# it to its own workdir). Mounted read-only so the collector only tails.
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- ${XRPLD_LOG_DIR:-./data/logs}:/var/log/xrpld:ro
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# Persisted filelog read offsets, so a collector restart resumes
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# instead of re-reading every debug.log from the top.
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- otelcol-storage:/var/lib/otelcol
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depends_on:
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tempo:
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condition: service_started
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loki:
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condition: service_started
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otelcol-storage-init:
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condition: service_completed_successfully
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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 Loki for centralized log ingestion and log-trace
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# correlation. Loki 3.x supports native OTLP ingestion, so the OTel
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# Collector exports via otlphttp to Loki's /otlp endpoint.
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# Query logs via Grafana Explore -> Loki at http://localhost:3000.
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loki:
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image: grafana/loki:3.7.6
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ports:
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- "3100:3100"
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command: -config.file=/etc/loki/local-config.yaml
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volumes:
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- loki-data:/loki
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networks:
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- xrpld-telemetry
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prometheus:
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# Pinned to an exact patch release for reproducible, config-stable runs.
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image: prom/prometheus:v3.13.2
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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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- prometheus-data:/prometheus
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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:13.1.2
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# Alerting secrets/addresses (Slack webhook, alert email) come from this
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# gitignored file; Grafana expands the ${VARS} referenced in the alerting
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# provisioning YAML. Absent file = unset vars = receivers have no live
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# destination, which is fine for a local stack. See .env.alerting.example.
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env_file:
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- path: .env.alerting
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required: false
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environment:
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- GF_AUTH_ANONYMOUS_ENABLED=true # No login required for local dev
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- GF_AUTH_ANONYMOUS_ORG_ROLE=Admin # Full access without auth
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# Remote image rendering: point Grafana at the renderer container.
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# These belong on the grafana service (the server delegates renders);
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# the callback URL is how the renderer fetches the panel from grafana.
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- GF_RENDERING_SERVER_URL=http://renderer:8081/render
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- GF_RENDERING_CALLBACK_URL=http://grafana:3000/
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# Grafana 13 turns the renderAuthJWT feature toggle on by default, which
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# makes the renderer reject requests unless both sides share a token that
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# is not the "-" default. Must match AUTH_TOKEN on the renderer service.
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- GF_RENDERING_RENDERER_TOKEN=${GF_RENDERING_RENDERER_TOKEN:-xrpld-local-render}
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# SMTP for the critical-tier email receiver and the Slack webhook / email
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# address for the contact points all come from the env_file above, which
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# injects them straight into the container environment for Grafana to
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# expand. They are deliberately NOT duplicated here: a compose-level
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# `environment:` entry is interpolated from the host shell and would
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# override (and blank out) the env_file values.
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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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- loki
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- renderer
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networks:
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- xrpld-telemetry
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# Grafana image renderer: a sidecar that renders panels/dashboards to PNG
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# for image export and alerting. Grafana calls it at http://renderer:8081.
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renderer:
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# Pinned like every other image in this stack so a stack that worked
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# yesterday still works today. Upstream maintains only the newest release,
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# which is expected to serve all supported Grafana versions.
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image: grafana/grafana-image-renderer:v5.12.0
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environment:
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# Shared secret for the JWT-authenticated render requests Grafana 13
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# sends. Must match GF_RENDERING_RENDERER_TOKEN on the grafana service.
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- AUTH_TOKEN=${GF_RENDERING_RENDERER_TOKEN:-xrpld-local-render}
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ports:
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- "8081:8081" # Renderer HTTP endpoint (called by grafana)
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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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prometheus-data:
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loki-data:
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otelcol-storage:
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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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