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Timmy-time-dashboard/docker-compose.logging.yml

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# ── Timmy Time — ELK Log Aggregation Overlay ────────────────────────────────
#
# Adds Elasticsearch + Logstash + Kibana alongside the production stack.
# Use as an overlay on top of the prod compose:
#
# docker compose \
# -f docker-compose.prod.yml \
# -f docker-compose.logging.yml \
# up -d
#
# ── How it works ────────────────────────────────────────────────────────────
#
# 1. Every container's Docker logging driver is set to GELF, which sends
# structured log events (JSON with container metadata) over UDP.
#
# 2. Logstash listens on :12201/udp, parses the GELF messages, extracts
# log levels, parses JSON payloads from FastAPI/uvicorn, and adds
# project metadata.
#
# 3. Logstash ships the enriched events to Elasticsearch, indexed by day
# (timmy-logs-YYYY.MM.dd) with a 30-day ILM retention policy.
#
# 4. Kibana provides the web UI on :5601 for searching, filtering,
# and building dashboards over the indexed logs.
#
# ── Access ──────────────────────────────────────────────────────────────────
# Kibana: http://localhost:5601
# Elasticsearch: http://localhost:9200 (API only, not exposed by default)
#
# ── Resource notes ──────────────────────────────────────────────────────────
# Elasticsearch: ~512 MB heap (ES_JAVA_OPTS below). Increase for
# high-throughput deployments.
# Logstash: ~256 MB heap. Lightweight for GELF → ES pipeline.
# Kibana: ~300 MB RAM. Stateless — safe to restart anytime.
#
# Total overhead: ~1.1 GB RAM on top of the base production stack.
services:
# ── Elasticsearch — log storage and search engine ─────────────────────────
elasticsearch:
image: docker.elastic.co/elasticsearch/elasticsearch:8.17.0
container_name: timmy-elasticsearch
volumes:
- es-data:/usr/share/elasticsearch/data
- ./deploy/elk/elasticsearch.yml:/usr/share/elasticsearch/config/elasticsearch.yml:ro
environment:
ES_JAVA_OPTS: "-Xms512m -Xmx512m"
networks:
- swarm-net
restart: unless-stopped
healthcheck:
test: ["CMD-SHELL", "curl -sf http://localhost:9200/_cluster/health | grep -q '\"status\":\"green\\|yellow\"'"]
interval: 30s
timeout: 10s
retries: 5
start_period: 60s
# ── Logstash — log pipeline (GELF in → Elasticsearch out) ────────────────
logstash:
image: docker.elastic.co/logstash/logstash:8.17.0
container_name: timmy-logstash
volumes:
- ./deploy/elk/logstash.conf:/usr/share/logstash/pipeline/logstash.conf:ro
environment:
LS_JAVA_OPTS: "-Xms256m -Xmx256m"
ports:
- "12201:12201/udp" # GELF input from Docker logging driver
networks:
- swarm-net
depends_on:
elasticsearch:
condition: service_healthy
restart: unless-stopped
# ── Kibana — log visualisation UI ─────────────────────────────────────────
kibana:
image: docker.elastic.co/kibana/kibana:8.17.0
container_name: timmy-kibana
volumes:
- ./deploy/elk/kibana.yml:/usr/share/kibana/config/kibana.yml:ro
ports:
- "5601:5601"
networks:
- swarm-net
depends_on:
elasticsearch:
condition: service_healthy
restart: unless-stopped
# ── Override existing services to use GELF logging driver ─────────────────
# These extend the services defined in docker-compose.prod.yml.
# Docker merges the logging config into the existing service definition.
dashboard:
logging:
driver: gelf
options:
gelf-address: "udp://localhost:12201"
tag: "dashboard"
depends_on:
logstash:
condition: service_started
timmy:
logging:
driver: gelf
options:
gelf-address: "udp://localhost:12201"
tag: "timmy-agent"
depends_on:
logstash:
condition: service_started
ollama:
logging:
driver: gelf
options:
gelf-address: "udp://localhost:12201"
tag: "ollama"
depends_on:
logstash:
condition: service_started
# ── Persistent volume for Elasticsearch indices ────────────────────────────
volumes:
es-data: