Add Docker implementation with monitoring stackDocker implementation#99
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L0rdDarkk wants to merge 3 commits into0x4m4:masterfrom
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Add Docker implementation with monitoring stackDocker implementation#99L0rdDarkk wants to merge 3 commits into0x4m4:masterfrom
L0rdDarkk wants to merge 3 commits into0x4m4:masterfrom
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…patibility This release implements comprehensive improvements from PRs #94, #99, and #87, transforming HexStrike AI into a production-ready platform with full Docker support, monitoring infrastructure, and enhanced MCP compatibility. 🐳 Docker & Container Infrastructure (PRs #94, #99) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ✅ Complete Docker stack with 6 services - HexStrike AI Server (main application on Kali Linux) - Redis (distributed caching) - PostgreSQL (scan results persistence) - Prometheus (metrics collection) - Grafana (visualization dashboards) - Traefik (reverse proxy with SSL/TLS) ✅ Production-ready Dockerfile - Multi-stage build on kalilinux/kali-rolling - 150+ security tools pre-installed - Optimized layer caching - Health checks included ✅ Complete orchestration with docker-compose.yml - Custom bridge networking (172.25.0.0/16) - Persistent volumes for all data - Auto-restart policies - Inter-service dependencies 📊 Monitoring & Metrics Infrastructure ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ✅ Prometheus metrics integration (monitoring/metrics.py) - Command execution metrics (total, duration, errors by tool) - Cache performance (hits, misses, size, entries) - Process pool stats (active, pool size, queue) - System resources (CPU, memory, disk) - Vulnerability tracking by severity - HTTP API request metrics - AI decision tracking - Error recovery statistics ✅ Grafana dashboards - Pre-configured datasources - Real-time visualization - 30-day metric retention ✅ PostgreSQL persistence (init-db.sql) - Scan results table - Vulnerabilities table with CVE tracking - Telemetry table - Command cache table - Attack chains table - Bug bounty targets table - Optimized indexes and views 📡 Enhanced MCP Compatibility (PR #87) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ✅ STDIO transport fallback - Automatic TTY vs non-TTY detection - asyncio.run(mcp.run_stdio()) for Codex compatibility - HTTP transport for interactive environments - Zero configuration required ✅ Broader MCP host support - Claude Desktop (HTTP transport) - Claude Codex (STDIO transport) - CI/CD pipelines (non-TTY) - Headless environments ✅ Protocol improvements - All logging to stderr (preserves stdout) - Clean protocol frame handling - Backward compatible 🏗️ Project Structure & Organization ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ✅ Modular directory structure created core/ - Core engine components agents/ - AI agents and workflows api/ - Flask API routes tools/ - Tool implementations config/ - Configuration models/ - Data models monitoring/ - Metrics and monitoring traefik/ - Reverse proxy config ✅ New configuration files - .dockerignore (optimized build context) - .env.example (environment template) - init-db.sql (database schema) - monitoring/prometheus.yml (scrape config) - monitoring/grafana/datasources/ (auto-config) - traefik/traefik.yml (proxy config) 📝 Documentation Updates ━━━━━━━━━━━━━━━━━━━━━━━ ✅ README.md updated - Version 6.0 → 6.1 - Docker badge added - "What's New in v6.1" section - Docker quick start guide - Updated architecture description ✅ New documentation files - DOCKER_DEPLOYMENT.md (comprehensive deployment guide) - CHANGELOG.md (detailed version history) ✅ Deployment documentation includes - Quick start instructions - Configuration guide - Monitoring setup - Troubleshooting guide - Security considerations - Backup/restore procedures 🔧 Dependencies & Requirements ━━━━━━━━━━━━━━━━━━━━━━━━━━━ ✅ requirements.txt updated - prometheus-client>=0.19.0 (metrics) - redis>=5.0.0 (caching) - psycopg2-binary>=2.9.0 (database) - Version header 6.0 → 6.1 ✅ Python dependencies - Added asyncio support for STDIO - Maintained backward compatibility 🎯 Key Benefits ━━━━━━━━━━━━━━ ✅ One-command deployment: docker-compose up -d ✅ Production monitoring out of the box ✅ Persistent scan results and metrics ✅ Enhanced reliability with health checks ✅ Broader MCP compatibility (Codex ready) ✅ Real-time performance visibility ✅ Scalable infrastructure ✅ Comprehensive documentation 🔄 Migration & Compatibility ━━━━━━━━━━━━━━━━━━━━━━━━━━ ✅ Fully backward compatible with v6.0 ✅ Existing installations work unchanged ✅ Docker deployment optional ✅ No breaking changes 📈 Technical Metrics ━━━━━━━━━━━━━━━━━ - Files created: 15+ - Lines of documentation: 1000+ - Docker services: 6 - Persistent volumes: 14 - Prometheus metrics: 20+ - Database tables: 6 - Pre-configured dashboards: Multiple Based on pull requests: - PR #99 by @L0rdDarkk (Docker + monitoring) - PR #94 by @alfonsoalongi (Docker + MCP hardening) - PR #87 by @alfonsoalongi (STDIO support) Future enhancements planned from PR #96: - Modular architecture refactoring (97% code reduction) - Tool cleanup (151→64 essential tools) - 22 Flask blueprints - 921 automated tests
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Making more simple to work with docker , while youy run server and client in the same machine