# Full Production Docker Environment with Podman and SQLite services: redis: image: redis:7-alpine container_name: ml-prod-redis user: "999:999" expose: - "6379" volumes: - ${PROD_DATA_DIR:-./data/prod}/redis:/data restart: unless-stopped command: redis-server --appendonly yes healthcheck: test: [ "CMD", "redis-cli", "ping" ] interval: 30s timeout: 10s retries: 3 api-server: build: context: . dockerfile: ./build/docker/secure-prod.Dockerfile container_name: ml-prod-api expose: - "9101" - "2222" volumes: - ${PROD_DATA_DIR:-./data/prod}/experiments:/app/data/experiments - ${PROD_DATA_DIR:-./data/prod}/active:/data/active - ${PROD_DATA_DIR:-./data/prod}/logs:/logs - ./configs/api/multi-user.yaml:/app/configs/api/prod.yaml depends_on: redis: condition: service_healthy restart: unless-stopped environment: - LOG_LEVEL=info healthcheck: test: [ "CMD", "curl", "-f", "http://localhost:9101/health" ] interval: 30s timeout: 10s retries: 3 start_period: 40s command: ["/bin/sh", "-c", "mkdir -p /data/active/datasets /data/active/snapshots && exec /usr/local/bin/api-server -config /app/configs/api/prod.yaml"] labels: - "traefik.enable=true" - "traefik.docker.network=${TRAEFIK_NETWORK:-traefik}" - "traefik.http.services.fetchml.loadbalancer.server.port=9101" - "traefik.http.routers.fetchml.rule=Host(`${FETCHML_DOMAIN}`) && (PathPrefix(`/api`) || PathPrefix(`/ws`) || Path(`/health`))" - "traefik.http.routers.fetchml.entrypoints=${TRAEFIK_ENTRYPOINT:-websecure}" - "traefik.http.routers.fetchml.tls=true" networks: - default - traefik worker: build: context: . dockerfile: ./build/docker/simple.Dockerfile container_name: ml-prod-worker volumes: - ${PROD_DATA_DIR:-./data/prod}/experiments:/app/data/experiments - ${PROD_DATA_DIR:-./data/prod}/active:/data/active - ${PROD_DATA_DIR:-./data/prod}/logs:/logs - ./configs/workers/docker-prod.yaml:/app/configs/worker.yaml depends_on: redis: condition: service_healthy api-server: condition: service_healthy restart: unless-stopped environment: - LOG_LEVEL=info - AWS_ACCESS_KEY_ID=${AWS_ACCESS_KEY_ID} - AWS_SECRET_ACCESS_KEY=${AWS_SECRET_ACCESS_KEY} - AWS_SESSION_TOKEN=${AWS_SESSION_TOKEN} - AWS_REGION=${AWS_REGION} privileged: true command: ["/usr/local/bin/worker", "-config", "/app/configs/worker.yaml"] volumes: {} networks: default: name: ml-prod-network traefik: external: true name: ${TRAEFIK_NETWORK:-traefik}