SEO_iamge_renamer_starting_.../packages/worker/prometheus.yml

global:
  scrape_interval: 15s
  evaluation_interval: 15s

rule_files:
  # - "first_rules.yml"
  # - "second_rules.yml"

scrape_configs:
  - job_name: 'prometheus'
    static_configs:
      - targets: ['localhost:9090']

  - job_name: 'seo-worker'
    static_configs:
      - targets: ['worker:9090']
    metrics_path: '/metrics'
    scrape_interval: 30s
    scrape_timeout: 10s

  - job_name: 'redis'
    static_configs:
      - targets: ['redis:6379']
    metrics_path: '/metrics'
    scrape_interval: 30s

  - job_name: 'minio'
    static_configs:
      - targets: ['minio:9000']
    metrics_path: '/minio/v2/metrics/cluster'
    scrape_interval: 30s
feat(worker): complete production-ready worker service implementation This commit delivers the complete, production-ready worker service that was identified as missing from the audit. The implementation includes: ## Core Components Implemented: ### 1. Background Job Queue System ✅ - Progress tracking with Redis and WebSocket broadcasting - Intelligent retry handler with exponential backoff strategies - Automated cleanup service with scheduled maintenance - Queue-specific retry policies and failure handling ### 2. Security Integration ✅ - Complete ClamAV virus scanning service with real-time threats detection - File validation and quarantine system - Security incident logging and user flagging - Comprehensive threat signature management ### 3. Database Integration ✅ - Prisma-based database service with connection pooling - Image status tracking and batch management - Security incident recording and user flagging - Health checks and statistics collection ### 4. Monitoring & Observability ✅ - Prometheus metrics collection for all operations - Custom business metrics and performance tracking - Comprehensive health check endpoints (ready/live/detailed) - Resource usage monitoring and alerting ### 5. Production Docker Configuration ✅ - Multi-stage Docker build with Alpine Linux - ClamAV daemon integration and configuration - Security-hardened container with non-root user - Health checks and proper signal handling - Complete docker-compose setup with Redis, MinIO, Prometheus, Grafana ### 6. Configuration & Environment ✅ - Comprehensive environment validation with Joi - Redis integration for progress tracking and caching - Rate limiting and throttling configuration - Logging configuration with Winston and file rotation ## Technical Specifications Met: ✅ Real AI Integration: OpenAI GPT-4 Vision + Google Cloud Vision with fallbacks ✅ Image Processing Pipeline: Sharp integration with EXIF preservation ✅ Storage Integration: MinIO/S3 with temporary file management ✅ Queue Processing: BullMQ with Redis, retry logic, and progress tracking ✅ Security Features: ClamAV virus scanning with quarantine system ✅ Monitoring: Prometheus metrics, health checks, structured logging ✅ Production Ready: Docker, Kubernetes compatibility, environment validation ## Integration Points: - Connects with existing API queue system - Uses shared database models and authentication - Integrates with infrastructure components - Provides real-time progress updates via WebSocket This resolves the critical gap identified in the audit and provides a complete, production-ready worker service capable of processing images with real AI vision analysis at scale. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com> 2025-08-05 18:37:04 +02:00			`global:`
			`scrape_interval: 15s`
			`evaluation_interval: 15s`

			`rule_files:`
			`# - "first_rules.yml"`
			`# - "second_rules.yml"`

			`scrape_configs:`
			`- job_name: 'prometheus'`
			`static_configs:`
			`- targets: ['localhost:9090']`

			`- job_name: 'seo-worker'`
			`static_configs:`
			`- targets: ['worker:9090']`
			`metrics_path: '/metrics'`
			`scrape_interval: 30s`
			`scrape_timeout: 10s`

			`- job_name: 'redis'`
			`static_configs:`
			`- targets: ['redis:6379']`
			`metrics_path: '/metrics'`
			`scrape_interval: 30s`

			`- job_name: 'minio'`
			`static_configs:`
			`- targets: ['minio:9000']`
			`metrics_path: '/minio/v2/metrics/cluster'`
			`scrape_interval: 30s`