Files
rippled/docker/telemetry/docker-compose.yml
Pratik Mankawde f6105ece98 feat(telemetry): add Phase 5 documentation, deployment configs, and integration tests
Add the observability stack deployment infrastructure and integration
test framework for verifying end-to-end trace export.

- Add Grafana dashboards: RPC performance, transaction overview,
  consensus health (pre-provisioned via dashboards.yaml)
- Add Prometheus config for spanmetrics collection from OTel Collector
- Update OTel Collector config with spanmetrics connector and
  prometheus exporter for RED metrics
- Add docker-compose services: prometheus, dashboard provisioning
- Add integration-test.sh with Tempo API-based span verification
  (replaces previous Jaeger-based approach)
- Add TESTING.md with step-by-step deployment and verification guide
- Add telemetry-runbook.md for production operations reference
- Add xrpld-telemetry.cfg sample configuration
- Add toDisplayString() for ConsensusMode (human-readable span values)
- Update Phase 2/3 task lists with known issues sections
- Add Phase 5 integration test task list
- Add TraceContext protobuf fields for future relay propagation
- Wire telemetry lifecycle (setServiceInstanceId/start/stop) in
  Application.cpp

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-28 15:00:40 +01:00

95 lines
3.2 KiB
YAML

# Docker Compose stack for xrpld OpenTelemetry observability.
#
# Provides services for local development:
# - otel-collector: receives OTLP traces from xrpld, batches and
# forwards them to Tempo. Listens on ports 4317 (gRPC)
# and 4318 (HTTP).
# - tempo: Grafana Tempo tracing backend, queryable via Grafana Explore
# on port 3000. Recommended for production (S3/GCS storage, TraceQL).
# - grafana: dashboards on port 3000, pre-configured with Tempo
# and Prometheus datasources.
#
# Usage:
# docker compose -f docker/telemetry/docker-compose.yml up -d
#
# Configure xrpld to export traces by adding to xrpld.cfg:
# [telemetry]
# enabled=1
# endpoint=http://localhost:4318/v1/traces
services:
# OpenTelemetry Collector: receives spans from xrpld via OTLP protocol,
# batches them for efficiency, and forwards to Tempo for storage.
otel-collector:
image: otel/opentelemetry-collector-contrib:0.121.0
command: ["--config=/etc/otel-collector-config.yaml"]
ports:
- "4317:4317" # OTLP gRPC receiver
- "4318:4318" # OTLP HTTP receiver (xrpld sends traces here)
- "8889:8889" # Prometheus metrics (spanmetrics)
- "13133:13133" # Health check endpoint
volumes:
# Mount collector pipeline config (receivers → processors → exporters)
- ./otel-collector-config.yaml:/etc/otel-collector-config.yaml:ro
depends_on:
- tempo
networks:
- xrpld-telemetry
# Grafana Tempo: distributed tracing backend that stores and indexes
# spans. Queryable via TraceQL in Grafana Explore.
tempo:
image: grafana/tempo:2.7.2
command: ["-config.file=/etc/tempo.yaml"]
ports:
- "3200:3200" # Tempo HTTP API (health check, query)
volumes:
# Mount Tempo storage and ingestion config
- ./tempo.yaml:/etc/tempo.yaml:ro
# Persistent volume for trace data (WAL + blocks)
- tempo-data:/var/tempo
networks:
- xrpld-telemetry
prometheus:
image: prom/prometheus:latest
ports:
- "9090:9090"
volumes:
- ./prometheus.yml:/etc/prometheus/prometheus.yml:ro
depends_on:
- otel-collector
networks:
- xrpld-telemetry
# Grafana: visualization UI with Tempo pre-configured as a datasource.
# Anonymous admin access enabled for local development convenience.
grafana:
image: grafana/grafana:11.5.2
environment:
- GF_AUTH_ANONYMOUS_ENABLED=true # No login required for local dev
- GF_AUTH_ANONYMOUS_ORG_ROLE=Admin # Full access without auth
ports:
- "3000:3000" # Grafana web UI
volumes:
# Auto-provision Tempo datasource and search filters on startup
- ./grafana/provisioning:/etc/grafana/provisioning:ro
- ./grafana/dashboards:/var/lib/grafana/dashboards:ro
depends_on:
- tempo
- prometheus
networks:
- xrpld-telemetry
# Named volume for Tempo trace storage (WAL and compacted blocks).
# Data persists across container restarts. Remove with:
# docker compose -f docker/telemetry/docker-compose.yml down -v
volumes:
tempo-data:
# Isolated bridge network so services communicate by container name
# (e.g., the collector reaches Tempo at http://tempo:4317).
networks:
xrpld-telemetry:
driver: bridge