VideoEditorAPI/docker-compose.performance.yml at main · jdportugal/VideoEditorAPI · GitHub

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version: '3.8'

services:
  video-editor-api-performance:
    build:
      context: .
      dockerfile: Dockerfile.performance
    ports:
      - "8080:8080"
    environment:
      - FLASK_ENV=production
      - PYTHONPATH=/app
      - PORT=8080
      - PERFORMANCE_MODE=HIGH
      - MAX_MEMORY_USAGE=90
      - USE_ALL_CORES=true
      # Performance optimizations - use actual CPU count
      - OMP_NUM_THREADS=4
      - MKL_NUM_THREADS=4
      - VECLIB_MAXIMUM_THREADS=4
      - NUMEXPR_NUM_THREADS=4
      - PYTORCH_CUDA_ALLOC_CONF=max_split_size_mb:1024
    volumes:
      - ./temp:/app/temp
      - ./uploads:/app/uploads
      - ./jobs:/app/jobs
      - ./static:/app/static
    restart: unless-stopped
    deploy:
      resources:
        limits:
          # Use maximum available resources
          cpus: '0'  # No CPU limit
          memory: '0'  # No memory limit
    healthcheck:
      test: ["CMD", "curl", "-f", "http://localhost:8080/health"]
      interval: 30s
      timeout: 20s
      retries: 3
      start_period: 60s
    # Enable host networking for maximum performance (optional)
    # network_mode: host

volumes:
  temp_data:
  uploads_data:
  jobs_data:
  static_data: