askUOS/docs/docker-compose.prod.example.yml at main · virtUOS/askUOS · GitHub

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# networks:
#   default:
#     name: botnet

services:
  app_streamlit:
    image: ghcr.io/virtuos/askuos # Provide the version you want to deploy
    command: >
      bash -c "
        streamlit run ./ui/start.py --server.port 8501
      "
    env_file:
      - .env.prod

    depends_on:
      - redis

    restart: always

    volumes:
      - logs:/app/logs
      - ./config.toml:/app/ui/.streamlit/config.toml
      - ./backend_config.yaml:/app/src/backend_config.yaml
      - ./ui_config.yml:/app/ui/ui_config.yml


  app_worker:
    image: ghcr.io/virtuos/askuos # Provide the version you want to deploy

    command: >
      bash -c "
        uvicorn src.api.main:app --host 0.0.0.0 --port 8000
      "

    deploy:
      replicas: 3 # Depends on expected traffic and resources available.

    env_file:
      - .env.prod

    depends_on:
      - redis

    restart: always

    volumes:
      - logs:/app/logs
      - ./backend_config.yaml:/app/src/backend_config.yaml


  redis:
    container_name: ask_uos_redis
    image: redis:latest
    volumes:
      - redis-data:/data
    ports:
      - "6379"
    restart: always
    command: >
      --maxmemory 6144mb
      --maxmemory-policy allkeys-lru
      --maxmemory-samples 5
    # Adjust maxmemory based on your server RAM:
    # 4GB server   -> 4096mb
    # 8GB server   -> 6144mb
    # 16GB+ server -> 8192mb or more

  crawl4ai:
    image: unclecode/crawl4ai:0.8.0
    container_name: ask_uos_crawl4ai
    ports:
      - "11235"
    restart: always

  # Optional: Caddy reverse proxy (uncomment and configure if needed)
  caddy:
    image: docker.io/library/caddy:2.8.4-alpine
    container_name: caddy
    restart: always
    volumes:
      - ./Caddyfile:/etc/caddy/Caddyfile
      - ./datenschutz.html:/var/www/html/datenschutz.html
      - ./impressum.html:/var/www/html/impressum.html
      - caddy_data:/data
      - caddy_config:/config
    ports:
      - "80:80"
      - "443:443"
    depends_on:
      - app

  # Optional: Monitoring services (Need to be configured separately)
  # You need to create promtail-config.yml and config_loki.yml
  # These services are optional and have nothing to do with the chatbot's main functionality
  node_exporter:
    image: docker.io/prom/node-exporter:v1.8.2
    container_name: node_exporter
    restart: always
    volumes:
      - /etc/localtime:/etc/localtime:ro
      - /etc/timezone:/etc/timezone:ro
      - /proc:/host/proc:ro
      - /sys:/host/sys:ro
      - /:/rootfs:ro
    command:
      - '--path.procfs=/host/proc'
      - '--path.sysfs=/host/sys'
      - '--path.rootfs=/rootfs'
      - '--collector.filesystem.ignored-mount-points="^(/rootfs|/host|)/(sys|proc|dev|host|etc)($$|/)"'
      - '--collector.filesystem.ignored-fs-types="^(sys|proc|auto|cgroup|devpts|ns|au|fuse\.lxc|mqueue)(fs|)$$"'

  promtail:
    image: grafana/promtail:3.2.1
    container_name: promtail
    volumes:
      - ./promtail-config.yml:/etc/promtail/config.yaml
      - logs:/app/logs
      - /var/lib/docker/containers:/var/lib/docker/containers:ro
      - /var/run/docker.sock:/var/run/docker.sock:ro
    command: -config.file=/etc/promtail/config.yaml
    restart: always
    networks:
      - default

  loki:
    image: grafana/loki:latest
    ports:
      - "3100"
    command: -config.file=/etc/loki/local-config.yaml
    restart: always
    volumes:
      - ./config_loki.yml:/etc/loki/local-config.yaml
    networks:
      - default

  cadvisor:
    image: gcr.io/cadvisor/cadvisor:latest
    container_name: cadvisor
    restart: always
    ports:
      - "8080"
    volumes:
      - /:/rootfs:ro
      - /var/run:/var/run:rw
      - /sys:/sys:ro
      - /var/lib/docker/:/var/lib/docker:ro
    depends_on:
      - redis

volumes:
  caddy_data:
  caddy_config:
  logs:
  redis-data: