gunicorn Documentation

docker run -d --name gunicorn -p 8003:8003 --restart always benoitc/gunicorn:latest

# Docker Compose for Celery Replacement Example
#
# Notice: Only ONE service needed!
# Compare with typical Celery deployment which requires:
# - web (gunicorn/uvicorn)
# - celery_worker
# - celery_beat (for scheduled tasks)
# - redis or rabbitmq
#
# With dirty arbiters, everything runs in a single container.

services:
  app:
    build:
      context: ../..  # Gunicorn repo root
      dockerfile: examples/celery_alternative/Dockerfile
    ports:
      - "8003:8000"
    environment:
      - GUNICORN_WORKERS=4
      - DIRTY_WORKERS=9
      - DIRTY_TIMEOUT=300
      - LOG_LEVEL=info
    healthcheck:
      test: ["CMD", "curl", "-f", "http://localhost:8000/health"]
      interval: 30s
      timeout: 10s
      retries: 3
      start_period: 10s
    # Resource limits (optional)
    deploy:
      resources:
        limits:
          memory: 1G
        reservations:
          memory: 256M

  # Test runner service
  tests:
    build:
      context: ../..
      dockerfile: examples/celery_alternative/Dockerfile
    depends_on:
      app:
        condition: service_healthy
    environment:
      - APP_URL=http://app:8000
    command: ["python", "-m", "pytest", "tests/", "-v", "--tb=short"]
    profiles:
      - test

# For comparison, here's what a Celery deployment would look like:
#
# services:
#   web:
#     build: .
#     command: gunicorn app:app -b 0.0.0.0:8000
#     ports:
#       - "8000:8000"
#     depends_on:
#       - redis
#
#   celery_worker:
#     build: .
#     command: celery -A tasks worker -l info
#     depends_on:
#       - redis
#
#   celery_beat:
#     build: .
#     command: celery -A tasks beat -l info
#     depends_on:
#       - redis
#
#   redis:
#     image: redis:alpine
#     ports:
#       - "6379:6379"