Algorithm/docker-compose.prod.yml at main · KindMap/Algorithm · GitHub

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version: "3.8"

services:
  redis:
    image: redis:7-alpine
    container_name: kindmap-redis
    restart: unless-stopped
    networks:
      - kindmap-network
    expose:
      - "6379"
    volumes:
      - redis-data:/data
    command: >
      redis-server
      --appendonly yes
      --maxmemory 512mb
      --maxmemory-policy allkeys-lru
      --notify-keyspace-events ""
      --client-output-buffer-limit pubsub 32mb 8mb 60
    healthcheck:
      test: ["CMD", "redis-cli", "ping"]
      interval: 10s
      timeout: 3s
      retries: 5
      start_period: 5s

  fastapi:
    image: ${REPOSITORY_URI}:fastapi-${IMAGE_TAG}
    # replicas 사용 시 container_name은 사용할 수 없습니다. (주석 유지)
    restart: unless-stopped
    env_file:
      - /home/ec2-user/.env
    environment:
      ALLOWED_ORIGINS: "http://localhost:3000,http://localhost:5173,http://127.0.0.1:3000,http://35.92.117.143,http://inha-capstone-03-frontend.s3-website-us-west-2.amazonaws.com,https://kindmap-for-you.cloud"
      REDIS_PUBSUB_ENABLED: "true"
      REDIS_PUBSUB_CHANNEL: "kindmap_events"
      WHISPER_MODEL_DIR: "/root/.cache/huggingface"
      # C++ 엔진 활성화
      USE_CPP_ENGINE: "false"
    expose:
      - "8001"
    networks:
      - kindmap-network
    depends_on:
      redis:
        condition: service_healthy

    # [Modified] 1 Container - 1 Worker 전략 적용
    # C++ 엔진은 GIL을 우회하므로 컨테이너당 단일 워커로 충분하며,
    # 3개의 레플리카를 통해 처리량을 3배로 늘립니다.
    command: >
      gunicorn app.main:app
      --workers 1
      --worker-class uvicorn.workers.UvicornWorker
      --bind 0.0.0.0:8001
      --timeout 300
      --keep-alive 120
      --worker-connections 1000

    # volumes:
    #   - /home/ec2-user/model_cache:/root/.cache/huggingface

    deploy:
      # [Modified] 레플리카 3개로 확장
      replicas: 3
      resources:
        limits:
          # 3개의 컨테이너가 호스트 CPU를 효율적으로 나눠 쓰도록 제한 (1.0 ~ 1.5 권장)
          cpus: "1.5"
          # [Modified] C++ 최적화 반영: 메모리 사용량이 줄었으므로 1G로 하향 조정하여
          # 3개 컨테이너(총 3GB)가 T3.medium 등에서 안전하게 실행되도록 함
          memory: 1G
        reservations:
          cpus: "0.25"
          memory: 512M

    healthcheck:
      test:
        [
          "CMD",
          "python",
          "-c",
          "import urllib.request; urllib.request.urlopen('http://localhost:8001/health').read()",
        ]
      interval: 30s
      timeout: 10s
      retries: 3
      start_period: 60s

  nginx:
    image: ${REPOSITORY_URI}:nginx-${IMAGE_TAG}
    container_name: kindmap-nginx
    restart: unless-stopped
    ports:
      - "80:80"
      - "443:443"
    depends_on:
      - fastapi
    networks:
      - kindmap-network
    volumes:
      - /etc/letsencrypt:/etc/letsencrypt
    healthcheck:
      test:
        [
          "CMD",
          "wget",
          "--quiet",
          "--tries=1",
          "--spider",
          "http://localhost/health",
        ]
      interval: 30s
      timeout: 3s
      retries: 3
      start_period: 10s

networks:
  kindmap-network:
    driver: bridge

volumes:
  redis-data:
    driver: local