flex-ai/docker-compose.yml at main · slarson62/flex-ai · GitHub

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version: '3.8'

services:

  db:
    restart: always
    image: postgres:11
    container_name: postgres_db
    expose:
      - ${PG_PORT}
    ports:
      - "${PG_PORT}:5432"
    networks:
      - backend
    environment:
      - POSTGRES_USER=${PG_USER}
      - POSTGRES_PASSWORD=${PG_PASSWORD}
      - POSTGRES_DATABASE=${PG_DATABASE}
    volumes:
      - db_data:/var/lib/postgresql/data/

  tracking_server:
    restart: always
    build: ./mlflow
    image: gorcenski/mlflow-scratch
    container_name: mlflow_server
    depends_on:
      - db
    ports:
      - "${MLFLOW_PORT}:5050"
    networks:
      - backend
    command: >
      mlflow server
      --backend-store-uri postgresql://${PG_USER}:${PG_PASSWORD}@db:5432/${PG_DATABASE}
      --host 0.0.0.0
      --port 5050
      --default-artifact-root file:///opt/artifacts/
    volumes:
      - ./artifacts:/opt/artifacts

  jupyter:
    image: cschranz/gpu-jupyter:v1.5_cuda-11.6_ubuntu-20.04
    container_name: notebooks
    restart: always
    deploy:
      resources:
        reservations:
          devices:
            - driver: nvidia
              count: all
              capabilities: [gpu]
    volumes:
      - "./data:/home/jovyan/data"
      - "./notebooks:/home/jovyan/notebooks"
      - "./project:/home/jovyan/project"
      - "./requirements.txt:/home/jovyan/requirements.txt"
      - "./.env:/home/jovyan/.env"
      - ".jupyter:/home/jovyan/.jupyter"
    ports:
      - "127.0.0.1:8848:8888"
    environment:
      - MLFLOW_S3_ENDPOINT_URL=${MLFLOW_S3_ENDPOINT_URL}
      - MLFLOW_TRACKING_URI=${MLFLOW_TRACKING_URI}
      - NB_UID=${NB_UID:-1000}
      - GRANT_SUDO=yes
    user: root
    networks:
      - backend
    depends_on:
      - tracking_server

volumes:
  db_data:

networks:
  backend:
    driver: bridge