Docker-Compose

Docker Compose isn’t just for development. With the right patterns, it’s a legitimate production deployment tool for small-to-medium workloads. Here’s how to do it without the footguns. Base Structure 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 # docker-compose.yml version: "3.8" services: app: image: myapp:${VERSION:-latest} restart: unless-stopped environment: - NODE_ENV=production deploy: resources: limits: cpus: '2' memory: 1G healthcheck: test: ["CMD", "curl", "-f", "http://localhost:3000/health"] interval: 30s timeout: 10s retries: 3 start_period: 40s Key elements: ...

Docker Compose is often dismissed as “just for development,” but with the right patterns it handles production workloads well. Here are patterns that have survived contact with real systems. Service Dependencies Done Right The basic depends_on only waits for the container to start, not for the service to be ready: 1 2 3 4 5 6 7 # This doesn't guarantee postgres is accepting connections services: app: depends_on: - db db: image: postgres:15 Use health checks for real dependency management: ...

Docker Compose turns “works on my machine” into “works everywhere.” Here’s how to structure it for real development workflows. Basic Structure 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 # docker-compose.yml services: app: build: . ports: - "3000:3000" volumes: - .:/app environment: - NODE_ENV=development db: image: postgres:15 environment: POSTGRES_PASSWORD: devpass Start everything: ...

Docker Compose tutorials show you docker compose up. Production requires health checks, resource limits, proper logging, restart policies, and deployment strategies. Here’s how to bridge that gap. Base Configuration 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 # docker-compose.yml version: "3.8" services: app: image: myapp:${VERSION:-latest} build: context: . dockerfile: Dockerfile restart: unless-stopped environment: - NODE_ENV=production env_file: - .env ports: - "3000:3000" This is a starting point. Let’s make it production-ready. ...

Docker Compose bridges the gap between single-container development and full orchestration. These patterns will help you build maintainable, production-ready configurations. Project Structure m ├ ├ ├ ├ ├ ├ └ y ─ ─ ─ ─ ─ ─ ─ p ─ ─ ─ ─ ─ ─ ─ r o d d d d . . s ├ │ ├ │ └ j o o o o e e e ─ ─ ─ e c c c c n n r ─ ─ ─ c k k k k v v v t e e e e . i a └ w └ n ├ └ / r r r r e c p ─ o ─ g ─ ─ - - - - x e p ─ r ─ i ─ ─ c c c c a s k n o o o o m D e D x D n m m m m p o r / o g p p p p l c c c i o o o o e k k k n s s s s e e e x e e e e r r r . . . . . f f f c y o p t i i i o m v r e l l l n l e o s e e e f r d t r . . i y y d m m e l l . y m l # # # # # # B D P T E T a e r e n e s v o s v m e d t i p u r l c v c c o a o e t o n t n r i n m e f r o f e i i n i n ( g d g t c u e u o r s v r v m a e a a m t ( r t r i i a r i i t o u i o a t n t d n b e o e l d - s e ) l s o a d e d ) Base Configuration 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 # docker-compose.yml version: "3.8" services: app: build: context: ./services/app dockerfile: Dockerfile environment: - DATABASE_URL=${DATABASE_URL} - REDIS_URL=${REDIS_URL} depends_on: db: condition: service_healthy redis: condition: service_started networks: - backend restart: unless-stopped db: image: postgres:15-alpine environment: POSTGRES_DB: ${DB_NAME} POSTGRES_USER: ${DB_USER} POSTGRES_PASSWORD: ${DB_PASSWORD} volumes: - postgres_data:/var/lib/postgresql/data healthcheck: test: ["CMD-SHELL", "pg_isready -U ${DB_USER}"] interval: 10s timeout: 5s retries: 5 networks: - backend redis: image: redis:7-alpine volumes: - redis_data:/data networks: - backend networks: backend: driver: bridge volumes: postgres_data: redis_data: Development Overrides 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 # docker-compose.override.yml (auto-loaded with docker-compose up) version: "3.8" services: app: build: target: development volumes: - ./src:/app/src:cached - /app/node_modules ports: - "3000:3000" - "9229:9229" # Debugger environment: - DEBUG=true - LOG_LEVEL=debug command: npm run dev db: ports: - "5432:5432" redis: ports: - "6379:6379" Production Configuration 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 # docker-compose.prod.yml version: "3.8" services: app: build: target: production deploy: replicas: 3 resources: limits: cpus: '1' memory: 512M reservations: cpus: '0.5' memory: 256M restart_policy: condition: on-failure delay: 5s max_attempts: 3 environment: - NODE_ENV=production - LOG_LEVEL=info logging: driver: json-file options: max-size: "10m" max-file: "3" nginx: image: nginx:alpine ports: - "80:80" - "443:443" volumes: - ./services/nginx/nginx.conf:/etc/nginx/nginx.conf:ro - ./certs:/etc/nginx/certs:ro depends_on: - app networks: - backend - frontend networks: frontend: driver: bridge Run with: ...