Files
rippled/docker/telemetry/docker-compose.yml
Pratik Mankawde e3188db2b3 Merge branch 'pratik/otel-phase8-log-correlation' into pratik/otel-phase9-metric-gap-fill
# Conflicts:
#	docker/telemetry/docker-compose.yml
#	docker/telemetry/otel-collector-config.yaml
#	docker/telemetry/xrpld-telemetry.cfg
2026-07-07 20:57:52 +01:00

154 lines
6.1 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. Also tails xrpld log files
# via filelog receiver and exports to Loki. 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).
# - loki: Grafana Loki log aggregation backend for centralized log
# ingestion and log-trace correlation (Phase 8).
# - grafana: dashboards on port 3000, pre-configured with Tempo,
# Prometheus, and Loki 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
- "4318:4318" # OTLP HTTP (traces + native OTel metrics)
- "8889:8889" # Prometheus metrics (spanmetrics + OTLP)
# StatsD UDP port removed — beast::insight now uses native OTLP.
# Uncomment if using server=statsd fallback:
# - "8125:8125/udp"
volumes:
# Mount collector pipeline config (receivers → processors → exporters)
- ./otel-collector-config.yaml:/etc/otel-collector-config.yaml:ro
# Mount the xrpld log root for the filelog receiver. The telemetry
# configs write to docker/telemetry/data/logs/<network>/debug.log, so
# the default source is the repo-relative ./data/logs — user-owned and
# needing no root, so `docker compose up` works with no setup. Override
# XRPLD_LOG_DIR to point at another root (e.g. the integration test sets
# it to its own workdir). Mounted read-only so the collector only tails.
- ${XRPLD_LOG_DIR:-./data/logs}:/var/log/xrpld:ro
depends_on:
- tempo
- loki
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
# Grafana Loki for centralized log ingestion and log-trace
# correlation. Loki 3.x supports native OTLP ingestion, so the OTel
# Collector exports via otlphttp to Loki's /otlp endpoint.
# Query logs via Grafana Explore -> Loki at http://localhost:3000.
loki:
image: grafana/loki:3.4.2
ports:
- "3100:3100"
command: -config.file=/etc/loki/local-config.yaml
volumes:
- loki-data:/loki
networks:
- xrpld-telemetry
prometheus:
# Pinned to the v2.53 LTS line for reproducible, config-stable runs.
image: prom/prometheus:v2.53.3
ports:
- "9090:9090"
volumes:
- ./prometheus.yml:/etc/prometheus/prometheus.yml:ro
- prometheus-data:/prometheus
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
# Alerting secrets/addresses (Slack webhook, alert email) come from this
# gitignored file; Grafana expands the ${VARS} referenced in the alerting
# provisioning YAML. Absent file = unset vars = receivers have no live
# destination, which is fine for a local stack. See .env.alerting.example.
env_file:
- path: .env.alerting
required: false
environment:
- GF_AUTH_ANONYMOUS_ENABLED=true # No login required for local dev
- GF_AUTH_ANONYMOUS_ORG_ROLE=Admin # Full access without auth
# Remote image rendering: point Grafana at the renderer container.
# These belong on the grafana service (the server delegates renders);
# the callback URL is how the renderer fetches the panel from grafana.
- GF_RENDERING_SERVER_URL=http://renderer:8081/render
- GF_RENDERING_CALLBACK_URL=http://grafana:3000/
# SMTP for the critical-tier email receiver and the Slack webhook / email
# address for the contact points all come from the env_file above, which
# injects them straight into the container environment for Grafana to
# expand. They are deliberately NOT duplicated here: a compose-level
# `environment:` entry is interpolated from the host shell and would
# override (and blank out) the env_file values.
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
- loki
- renderer
networks:
- xrpld-telemetry
# Grafana image renderer: a sidecar that renders panels/dashboards to PNG
# for image export and alerting. Grafana calls it at http://renderer:8081.
renderer:
image: grafana/grafana-image-renderer:latest
ports:
- "8081:8081" # Renderer HTTP endpoint (called by grafana)
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:
prometheus-data:
loki-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