mlflow-docker-minio/docker-compose.yml

version: '3.2'
services:
  caddy:
    image: caddy:2-alpine
    container_name: caddy
    volumes:
      - ./Caddyfile:/etc/caddy/Caddyfile
      - /caddy/data:/data
      - /caddy/config:/config
    ports:
      - 80:80
      - 443:443
      - 9000:9000
      - 9001:9001
    restart: unless-stopped
  s3:
    restart: always
    image: minio/minio:latest
    container_name: aws-s3
    ports:
      - 9000
      - 9001
    environment:
      - MINIO_ROOT_USER=${AWS_ACCESS_KEY_ID}
      - MINIO_ROOT_PASSWORD=${AWS_SECRET_ACCESS_KEY}
    command:
      server /date --console-address ":9001"
    volumes:
      - ./s3:/date
    networks:
      - default
      - proxy-net
  db:
      restart: always
      image: mysql/mysql-server:5.7.28
      container_name: mlflow_db
      expose:
          - "3306"
      environment:
          - MYSQL_DATABASE=${MYSQL_DATABASE}
          - MYSQL_USER=${MYSQL_USER}
          - MYSQL_PASSWORD=${MYSQL_PASSWORD}
          - MYSQL_ROOT_PASSWORD=${MYSQL_ROOT_PASSWORD}
      volumes:
          - ./dbdata:/var/lib/mysql
      networks:
          - default
  mlflow:
      restart: always
      container_name: tracker_mlflow
      image: tracker_ml
      build:
          context: ./mlflow
          dockerfile: Dockerfile
      ports:
          - "5000:5000"
      environment:
          - AWS_ACCESS_KEY_ID=${AWS_ACCESS_KEY_ID}
          - AWS_SECRET_ACCESS_KEY=${AWS_SECRET_ACCESS_KEY}
          - AWS_DEFAULT_REGION=${AWS_REGION}
          - MLFLOW_S3_ENDPOINT_URL=http://s3:9000
      entrypoint: mlflow server --backend-store-uri mysql+pymysql://${MYSQL_USER}:${MYSQL_PASSWORD}@db:3306/${MYSQL_DATABASE} --default-artifact-root s3://${AWS_BUCKET_NAME}/ -h 0.0.0.0
      networks:
          - proxy-net
          - default

networks:
  default:
  proxy-net: