Real-time-Anomaly-Detection-on-Edge-via-Quantized-DL/docker-compose.yml at main · manan-monani/Real-time-Anomaly-Detection-on-Edge-via-Quantized-DL · GitHub

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version: "3.8"

services:
  # Anomaly Detection API
  anomaly-api:
    build:
      context: .
      dockerfile: Dockerfile
    container_name: anomaly-detector-api
    ports:
      - "8000:8000"
    environment:
      - MODEL_PATH=/app/exports/model.onnx
      - BACKEND=onnx
      - DEVICE=cpu
      - THRESHOLD=0.1
      - API_HOST=0.0.0.0
      - API_PORT=8000
    volumes:
      - ./exports:/app/exports:ro
      - ./data:/app/data:ro
      - ./logs:/app/logs
    restart: unless-stopped
    networks:
      - monitoring
    deploy:
      resources:
        limits:
          cpus: "2"
          memory: 4G
        reservations:
          cpus: "1"
          memory: 2G

  # Prometheus for metrics
  prometheus:
    image: prom/prometheus:latest
    container_name: prometheus
    ports:
      - "9090:9090"
    volumes:
      - ./config/prometheus.yml:/etc/prometheus/prometheus.yml:ro
      - prometheus_data:/prometheus
    command:
      - "--config.file=/etc/prometheus/prometheus.yml"
      - "--storage.tsdb.path=/prometheus"
      - "--storage.tsdb.retention.time=30d"
    restart: unless-stopped
    networks:
      - monitoring

  # Grafana for visualization
  grafana:
    image: grafana/grafana:latest
    container_name: grafana
    ports:
      - "3000:3000"
    environment:
      - GF_SECURITY_ADMIN_PASSWORD=admin
      - GF_SECURITY_ADMIN_USER=admin
      - GF_INSTALL_PLUGINS=grafana-clock-panel
    volumes:
      - grafana_data:/var/lib/grafana
      - ./grafana:/etc/grafana/provisioning
    restart: unless-stopped
    networks:
      - monitoring
    depends_on:
      - prometheus

networks:
  monitoring:
    driver: bridge

volumes:
  prometheus_data:
  grafana_data: