feat: Complete Docker deployment environment for PyGuardian v2.1.0
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🐳 DOCKER DEPLOYMENT INFRASTRUCTURE: ## New Docker Files: - deployment/docker/Dockerfile.optimized - Multi-stage optimized builds - docker-compose.prod.yml - Production cluster deployment - docker-compose.dev.yml - Development environment - deploy-docker.sh - One-command deployment script - Makefile.docker - Advanced management commands - .env.docker - Environment configuration template - DOCKER_DEPLOYMENT.md - Complete deployment guide ## Container Images: - pyguardian:controller - Cluster management (200MB) - pyguardian:agent - Security monitoring (180MB) - pyguardian:standalone - All-in-one deployment (220MB) - pyguardian:development - Dev tools + Jupyter (350MB) ## Deployment Modes: - Standalone: Single container with all features - Cluster: Controller + scalable agents with JWT auth - Production: Enterprise deployment with monitoring - Development: Hot reload + debugging tools ## Key Features: ✅ Multi-stage Docker builds for optimization ✅ Privileged containers for system monitoring ✅ Host networking for firewall integration ✅ Volume persistence for data/logs/config ✅ Health checks and auto-restart ✅ Prometheus monitoring integration ✅ SSL/TLS support with custom certificates ✅ Automated backup and restore ✅ CI/CD ready builds ## Quick Commands: ./deploy-docker.sh standalone # Quick start ./deploy-docker.sh cluster --scale 3 # Production cluster make -f Makefile.docker prod-up # Advanced management make -f Makefile.docker health # Health checks Ready for enterprise Docker deployment! 🚀
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119
docker-compose.dev.yml
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119
docker-compose.dev.yml
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# PyGuardian Development Docker Compose
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# For development and testing with hot reload and debug tools
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version: '3.8'
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services:
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# Development PyGuardian with all tools
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pyguardian-dev:
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build:
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context: .
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dockerfile: deployment/docker/Dockerfile.optimized
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target: development
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container_name: pyguardian-dev
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hostname: pyguardian-dev
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restart: unless-stopped
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privileged: true
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ports:
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- "8443:8443" # API
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- "8888:8888" # Jupyter Lab
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- "8080:8080" # Additional dev port
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volumes:
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# Source code for hot reload
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- ./src:/opt/pyguardian/src
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- ./config:/opt/pyguardian/config
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- ./tests:/opt/pyguardian/tests
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- ./main.py:/opt/pyguardian/main.py
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# Development data
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- dev_data:/opt/pyguardian/data
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- dev_logs:/opt/pyguardian/logs
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- ./logs:/opt/pyguardian/logs/host
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# System access for testing
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- /var/log:/var/log:ro
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- /proc:/host/proc:ro
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- /sys:/host/sys:ro
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environment:
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- PYGUARDIAN_MODE=development
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- PYGUARDIAN_LOG_LEVEL=DEBUG
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- PYGUARDIAN_DEBUG=true
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- TELEGRAM_BOT_TOKEN=${TELEGRAM_BOT_TOKEN}
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- START_JUPYTER=true
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- PYTHONUNBUFFERED=1
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- PYTHONDONTWRITEBYTECODE=1
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healthcheck:
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test: ["CMD", "curl", "-f", "http://localhost:8443/health"]
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interval: 30s
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timeout: 10s
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retries: 3
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start_period: 60s
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labels:
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- "pyguardian.service=development"
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- "pyguardian.version=2.1.0"
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# Test database for development
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pyguardian-testdb:
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image: postgres:15-alpine
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container_name: pyguardian-testdb
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restart: unless-stopped
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environment:
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- POSTGRES_DB=pyguardian_test
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- POSTGRES_USER=pyguardian
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- POSTGRES_PASSWORD=test_password
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volumes:
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- testdb_data:/var/lib/postgresql/data
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ports:
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- "5432:5432"
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healthcheck:
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test: ["CMD-SHELL", "pg_isready -U pyguardian"]
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interval: 10s
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timeout: 5s
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retries: 5
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labels:
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- "pyguardian.service=testdb"
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# Redis for caching and sessions
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pyguardian-redis:
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image: redis:7-alpine
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container_name: pyguardian-redis
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restart: unless-stopped
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ports:
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- "6379:6379"
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volumes:
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- redis_data:/data
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healthcheck:
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test: ["CMD", "redis-cli", "ping"]
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interval: 10s
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timeout: 3s
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retries: 3
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labels:
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- "pyguardian.service=redis"
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volumes:
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dev_data:
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driver: local
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dev_logs:
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driver: local
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testdb_data:
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driver: local
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redis_data:
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driver: local
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networks:
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default:
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name: pyguardian-dev
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