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# Production Docker Compose for paper.fun
# Based on Docker Expert best practices
# Run with: docker compose -f docker-compose.prod.yml up -d
services:
# ===================
# DATABASES
# ===================
postgres:
image: postgres:16-alpine
container_name: paper-trading-db
restart: unless-stopped
environment:
POSTGRES_PASSWORD: ${POSTGRES_PASSWORD}
POSTGRES_DB: paper_trading
POSTGRES_USER: postgres
volumes:
- postgres_data:/var/lib/postgresql/data
healthcheck:
test: ["CMD-SHELL", "pg_isready -U postgres"]
interval: 10s
timeout: 5s
retries: 5
networks:
- backend
deploy:
resources:
limits:
cpus: '0.5'
memory: 512M
reservations:
cpus: '0.25'
memory: 256M
redis:
image: redis:7-alpine
container_name: paper-trading-redis
restart: unless-stopped
volumes:
- redis_data:/data
healthcheck:
test: ["CMD", "redis-cli", "ping"]
interval: 10s
timeout: 5s
retries: 5
networks:
- backend
deploy:
resources:
limits:
cpus: '0.25'
memory: 256M
reservations:
cpus: '0.1'
memory: 128M
# ===================
# API SERVER
# ===================
api:
build:
context: .
dockerfile: ./apps/api/Dockerfile
container_name: paper-fun-api
restart: unless-stopped
ports:
- "3000:3000"
environment:
- NODE_ENV=production
- PORT=3000
- DATABASE_URL=postgresql://postgres:${POSTGRES_PASSWORD}@postgres:5432/paper_trading
- REDIS_URL=redis:6379
- JWT_SECRET=${JWT_SECRET}
- PYTH_NETWORK_URL=${PYTH_NETWORK_URL}
- RATE_LIMIT_MAX=${RATE_LIMIT_MAX}
- RATE_LIMIT_WINDOW_MS=${RATE_LIMIT_WINDOW_MS}
- CORS_ORIGIN=${CORS_ORIGIN}
depends_on:
postgres:
condition: service_healthy
redis:
condition: service_healthy
networks:
- frontend
- backend
deploy:
resources:
limits:
cpus: '0.5'
memory: 512M
reservations:
cpus: '0.25'
memory: 256M
# ===================
# WEBSOCKET SERVER
# ===================
websocket:
build:
context: .
dockerfile: ./apps/ws/Dockerfile
container_name: paper-fun-ws
restart: unless-stopped
ports:
- "3001:3001"
environment:
- NODE_ENV=production
- WS_PORT=3001
- DATABASE_URL=postgresql://postgres:${POSTGRES_PASSWORD}@postgres:5432/paper_trading
- REDIS_URL=redis:6379
- JWT_SECRET=${JWT_SECRET}
depends_on:
postgres:
condition: service_healthy
redis:
condition: service_healthy
networks:
- frontend
- backend
deploy:
resources:
limits:
cpus: '0.5'
memory: 512M
reservations:
cpus: '0.25'
memory: 256M
# ===================
# FRONTEND
# ===================
frontend:
build:
context: .
dockerfile: ./apps/web/Dockerfile
args:
- NEXT_PUBLIC_API_URL=${NEXT_PUBLIC_API_URL}
- NEXT_PUBLIC_WS_URL=${NEXT_PUBLIC_WS_URL}
container_name: paper-fun-frontend
restart: unless-stopped
ports:
- "3002:3000"
environment:
- NODE_ENV=production
networks:
- frontend
deploy:
resources:
limits:
cpus: '0.5'
memory: 512M
reservations:
cpus: '0.25'
memory: 256M
# ===================
# WORKERS
# ===================
price-worker:
build:
context: .
dockerfile: ./workers/price-ingestion/Dockerfile
container_name: paper-fun-price-worker
restart: unless-stopped
environment:
- NODE_ENV=production
- DATABASE_URL=postgresql://postgres:${POSTGRES_PASSWORD}@postgres:5432/paper_trading
- REDIS_URL=redis:6379
- PYTH_NETWORK_URL=${PYTH_NETWORK_URL}
depends_on:
postgres:
condition: service_healthy
redis:
condition: service_healthy
networks:
- backend
deploy:
resources:
limits:
cpus: '0.25'
memory: 256M
reservations:
cpus: '0.1'
memory: 128M
candle-worker:
build:
context: .
dockerfile: ./workers/candle-aggregation/Dockerfile
container_name: paper-fun-candle-worker
restart: unless-stopped
environment:
- NODE_ENV=production
- DATABASE_URL=postgresql://postgres:${POSTGRES_PASSWORD}@postgres:5432/paper_trading
- REDIS_URL=redis:6379
depends_on:
postgres:
condition: service_healthy
redis:
condition: service_healthy
networks:
- backend
deploy:
resources:
limits:
cpus: '0.25'
memory: 256M
reservations:
cpus: '0.1'
memory: 128M
networks:
# Frontend network - exposed to internet
frontend:
driver: bridge
# Backend network - internal only (databases, workers)
backend:
driver: bridge
internal: true
volumes:
postgres_data:
driver: local
redis_data:
driver: local