Docker Compose
Run Laminar's observability stack locally using Docker Compose for development and testing.
Overview
The Docker Compose setup provides the observability infrastructure for Laminar:
- GrepTimeDB - Time-series database for logs and metrics
- Vector - Log and metrics pipeline
- Grafana - Dashboards and visualization
- NGINX - Reverse proxy
Laminar itself runs natively via cargo run and connects to this observability stack.
Prerequisites
- Docker Desktop or Docker Engine 20.10+
- Docker Compose v2.0+
- 2GB RAM available for observability stack
Quick Start
cd setup
docker compose up -ddocker-compose.yml
services:
# GrepTimeDB - Time-series database for logs and metrics
greptimedb:
image: greptime/greptimedb:v1.0.0-beta.4
container_name: laminar-greptimedb-local
command: >
standalone start
--http-addr 0.0.0.0:4000
--rpc-addr 0.0.0.0:4001
--mysql-addr 0.0.0.0:4002
--postgres-addr 0.0.0.0:4003
ports:
- "${GREPTIMEDB_HTTP_PORT:-4000}:4000" # HTTP API + Prometheus remote write
- "${GREPTIMEDB_GRPC_PORT:-4001}:4001" # gRPC
- "${GREPTIMEDB_MYSQL_PORT:-4002}:4002" # MySQL protocol
- "${GREPTIMEDB_PG_PORT:-4003}:4003" # PostgreSQL protocol
volumes:
- greptimedb_data:/tmp/greptimedb
healthcheck:
test: ["CMD", "curl", "-f", "http://localhost:4000/health"]
interval: 10s
timeout: 5s
retries: 5
restart: unless-stopped
networks:
- laminar-local
# Database initialization
greptimedb-init:
image: curlimages/curl:8.11.1
depends_on:
greptimedb:
condition: service_healthy
entrypoint: ["/bin/sh", "-c"]
command:
- |
echo "Creating databases with TTL..."
curl -s "http://greptimedb:4000/v1/sql" -d "sql=CREATE DATABASE IF NOT EXISTS laminar_logs WITH (ttl = '1h')"
curl -s "http://greptimedb:4000/v1/sql" -d "sql=CREATE DATABASE IF NOT EXISTS laminar_metrics WITH (ttl = '1h')"
echo "Setup completed successfully"
networks:
- laminar-local
# Vector - Log and metrics pipeline
vector:
image: timberio/vector:0.42.0-alpine
container_name: laminar-vector-local
command: ["--config", "/etc/vector/vector.toml"]
volumes:
- ./vector.toml:/etc/vector/vector.toml:ro
- /tmp/laminar:/tmp/laminar:ro
extra_hosts:
- "host.docker.internal:host-gateway"
depends_on:
greptimedb:
condition: service_healthy
greptimedb-init:
condition: service_completed_successfully
restart: unless-stopped
networks:
- laminar-local
# Grafana - Observability dashboards
grafana:
image: grafana/grafana:12.4.0-react19
container_name: laminar-grafana-local
ports:
- "${GRAFANA_PORT:-3001}:3000"
environment:
- GF_SERVER_DOMAIN=localhost
- GF_SERVER_ROOT_URL=%(protocol)s://%(domain)s/grafana
- GF_SERVER_SERVE_FROM_SUB_PATH=true
- GF_SECURITY_ADMIN_USER=${GRAFANA_ADMIN_USER:-laminar}
- GF_SECURITY_ADMIN_PASSWORD=${GRAFANA_ADMIN_PASSWORD:-laminar}
- GF_AUTH_ANONYMOUS_ENABLED=false
volumes:
- ./grafana/provisioning:/etc/grafana/provisioning:ro
- ./grafana/dashboards:/var/lib/grafana/dashboards:ro
- grafana_data:/var/lib/grafana
depends_on:
greptimedb:
condition: service_healthy
restart: unless-stopped
networks:
- laminar-local
# NGINX - Reverse proxy
nginx:
image: nginx:1.27-alpine
container_name: laminar-nginx-local
ports:
- "${NGINX_PORT:-80}:80"
volumes:
- ./nginx.conf:/etc/nginx/nginx.conf:ro
extra_hosts:
- "host.docker.internal:host-gateway"
depends_on:
- grafana
restart: unless-stopped
networks:
- laminar-local
networks:
laminar-local:
name: laminar-local
volumes:
greptimedb_data:
grafana_data:Commands
# Start all services
docker compose up -d
# View logs
docker compose logs -f
# View logs for specific service
docker compose logs -f greptimedb
# Stop services
docker compose down
# Stop and remove volumes
docker compose down -v
# Restart a service
docker compose restart vectorServices
GrepTimeDB
Time-series database for storing logs and metrics.
| Port | Protocol | Purpose |
|---|---|---|
| 4000 | HTTP | REST API, Prometheus remote write |
| 4001 | gRPC | gRPC API |
| 4002 | MySQL | MySQL protocol (for queries) |
| 4003 | PostgreSQL | PostgreSQL protocol |
Vector
Collects logs and metrics from Laminar and forwards to GrepTimeDB.
Configuration in vector.toml:
- Reads logs from
/tmp/laminar - Scrapes metrics from Laminar's metrics endpoint
- Writes to GrepTimeDB
Grafana
Dashboards for monitoring Laminar.
| Setting | Default |
|---|---|
| URL | http://localhost/grafana |
| Username | laminar |
| Password | laminar |
| Port | 3001 (direct), 80 (via nginx) |
NGINX
Reverse proxy that routes:
/grafana→ Grafana/api→ Laminar API (on host)
Environment Variables
Create a .env file to customize ports:
# GrepTimeDB ports
GREPTIMEDB_HTTP_PORT=4000
GREPTIMEDB_GRPC_PORT=4001
GREPTIMEDB_MYSQL_PORT=4002
GREPTIMEDB_PG_PORT=4003
# Grafana
GRAFANA_PORT=3001
GRAFANA_ADMIN_USER=laminar
GRAFANA_ADMIN_PASSWORD=laminar
# NGINX
NGINX_PORT=80Running Laminar
After starting the observability stack, run Laminar separately:
# From laminar root directory
cargo runLaminar will automatically send logs and metrics to the observability stack via Vector.
Adding External Services
With Kafka
Create docker-compose.override.yml:
services:
zookeeper:
image: confluentinc/cp-zookeeper:7.5.0
environment:
ZOOKEEPER_CLIENT_PORT: 2181
networks:
- laminar-local
kafka:
image: confluentinc/cp-kafka:7.5.0
ports:
- "9092:9092"
environment:
KAFKA_BROKER_ID: 1
KAFKA_ZOOKEEPER_CONNECT: zookeeper:2181
KAFKA_ADVERTISED_LISTENERS: PLAINTEXT://kafka:29092,PLAINTEXT_HOST://localhost:9092
KAFKA_LISTENER_SECURITY_PROTOCOL_MAP: PLAINTEXT:PLAINTEXT,PLAINTEXT_HOST:PLAINTEXT
KAFKA_INTER_BROKER_LISTENER_NAME: PLAINTEXT
KAFKA_OFFSETS_TOPIC_REPLICATION_FACTOR: 1
depends_on:
- zookeeper
networks:
- laminar-localWith MinIO (S3-compatible)
services:
minio:
image: minio/minio
ports:
- "9000:9000"
- "9001:9001"
environment:
MINIO_ROOT_USER: minioadmin
MINIO_ROOT_PASSWORD: minioadmin
command: server /data --console-address ":9001"
volumes:
- minio_data:/data
networks:
- laminar-local
volumes:
minio_data:Troubleshooting
Services not starting
# Check service health
docker compose ps
# View detailed logs
docker compose logs --tail=100 greptimedb
# Check resource usage
docker statsGrepTimeDB not healthy
# Check GrepTimeDB logs
docker compose logs greptimedb
# Test health endpoint
curl http://localhost:4000/healthVector not collecting logs
# Check Vector logs
docker compose logs vector
# Verify log directory exists
ls -la /tmp/laminarPort conflicts
# Check what's using a port
lsof -i :4000
# Use different ports via .env file
echo "GREPTIMEDB_HTTP_PORT=4100" >> .env
docker compose up -dNext Steps
- KIND - Test Kubernetes deployments locally
- Helm Installation - Production setup