docker-compose.yml

version: "3"

services:
  asynchronous_proxy:
    container_name: asynchronous_proxy
    image: shibui/ml-system-in-actions:asynchronous_pattern_asynchronous_proxy_0.0.1
    restart: always
    environment:
      - PLATFORM=docker_compose
      - QUEUE_NAME=tfs_queue
      - API_ADDRESS=imagenet_inception_v3
    ports:
      - "8000:8000"
    command: ./run.sh
    depends_on:
      - redis
      - imagenet_inception_v3
      - asynchronous_backend

  imagenet_inception_v3:
    container_name: imagenet_inception_v3
    image: shibui/ml-system-in-actions:asynchronous_pattern_imagenet_inception_v3_0.0.1
    restart: always
    environment:
      - PORT=8500
      - REST_API_PORT=8501
    ports:
      - "8500:8500"
      - "8501:8501"
    entrypoint: ["/usr/bin/tf_serving_entrypoint.sh"]

  asynchronous_backend:
    container_name: asynchronous_backend
    image: shibui/ml-system-in-actions:asynchronous_pattern_asynchronous_backend_0.0.1
    restart: always
    environment:
      - PLATFORM=docker_compose
      - QUEUE_NAME=tfs_queue
      - API_ADDRESS=imagenet_inception_v3
    entrypoint: ["python", "-m", "src.app.backend.prediction_batch"]
    depends_on:
      - redis

  redis:
    container_name: asynchronous_redis
    image: "redis:latest"
    ports:
      - "6379:6379"