Enterprise-grade GitHub Apps implementation with multi-region deployment, AI/ML integration, chaos engineering, and comprehensive observability
- GitHub App Integration: Secure webhook handling for repository events, pull requests, and issues
- AI/ML Integration: Advanced code analysis, automated review suggestions, and intelligent recommendations
- Multi-Region Deployment: Active-active architecture with automatic failover and geo-distributed endpoints
- Real-time Processing: Event-driven architecture with Redis-backed queue management
- High Availability: 99.99% uptime SLA with blue-green deployments and canary releases
- Security: End-to-end encryption, OAuth 2.0, webhook signature verification, and compliance with SOC 2
- Observability: Comprehensive monitoring with Prometheus, Grafana, Jaeger tracing, and structured logging
- Scalability: Horizontal scaling with Kubernetes, auto-scaling based on metrics, and efficient resource utilization
- Chaos Engineering: Automated fault injection and resilience testing
- Runtime: Node.js 20+ with TypeScript
- Framework: Express.js with custom middleware
- Database: PostgreSQL 15+ with connection pooling
- Cache: Redis 7+ for session management and queue processing
- Monitoring: Prometheus + Grafana + Jaeger
- Container: Docker with multi-stage builds
- Orchestration: Kubernetes with Helm charts
βββββββββββββββββββ
β GitHub API β
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β Webhooks β
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β
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β Express Server β
β - Auth Middlewareβ
β - Rate Limiting β
β - Validation β
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β
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β Business Logic Layer β
β - Event Processing β
β - AI/ML Integration β
β - Workflow Automation β
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β
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β Redis ββββββ€PostgreSQLβ
βββββββββββ ββββββββββββ
- Node.js: v20.x or higher
- Docker: v24.x or higher
- Docker Compose: v2.20.x or higher
- PostgreSQL: v15.x or higher (for production)
- Redis: v7.x or higher (for production)
- GitHub App: Registered app with appropriate permissions
git clone https://github.com/BrianAtTopicality/github-apps-enterprise.git
cd github-apps-enterprisenpm installcp .env.example .env
# Edit .env with your GitHub App credentials and configuration# Start all services (app, PostgreSQL, Redis, Prometheus, Grafana, Jaeger)
docker-compose up -d
# Or run locally
npm run dev- Application: http://localhost:3000/health
- Grafana: http://localhost:3001 (admin/admin)
- Prometheus: http://localhost:9090
- Jaeger: http://localhost:16686
- PgAdmin: http://localhost:5050 (admin@admin.com/admin)
See .env.example for all configuration options:
# GitHub App Configuration
GITHUB_APP_ID=your_app_id
GITHUB_PRIVATE_KEY=your_private_key
GITHUB_WEBHOOK_SECRET=your_webhook_secret
GITHUB_CLIENT_ID=your_client_id
GITHUB_CLIENT_SECRET=your_client_secret
# Server Configuration
PORT=3000
NODE_ENV=development
# Database Configuration
DATABASE_URL=postgresql://user:password@localhost:5432/github_apps
# Redis Configuration
REDIS_URL=redis://localhost:6379# Development
npm run dev # Start development server with hot reload
npm run build # Build TypeScript to JavaScript
npm run start # Start production server
# Testing
npm test # Run test suite
npm run test:watch # Run tests in watch mode
npm run test:cov # Generate coverage report
# Code Quality
npm run lint # Run ESLint
npm run lint:fix # Fix linting issues
npm run format # Format code with Prettier
# Type Checking
npm run type-check # Run TypeScript compiler checks.
βββ .github/
β βββ workflows/ # CI/CD workflows
βββ src/
β βββ index.ts # Application entry point
β βββ middleware/ # Express middleware
β βββ routes/ # API routes
β βββ services/ # Business logic
β βββ models/ # Data models
β βββ utils/ # Utility functions
βββ tests/ # Test files
βββ k8s/ # Kubernetes manifests
βββ docker-compose.yml # Local development stack
βββ Dockerfile # Production container image
βββ tsconfig.json # TypeScript configuration
βββ package.json # Project dependencies
# Build production image
docker build -t ghcr.io/brianattopicality/github-apps-enterprise:latest .
# Run container
docker run -p 3000:3000 --env-file .env ghcr.io/brianattopicality/github-apps-enterprise:latest# Deploy to Kubernetes
kubectl apply -f k8s/
# Check deployment status
kubectl rollout status deployment/github-apps -n production
# View logs
kubectl logs -f deployment/github-apps -n productionAutomated deployments are configured via GitHub Actions:
- CI Pipeline: Runs on every push/PR (lint, test, build, security scan)
- CD Pipeline: Deploys on tag creation (
v*.*.*) or manual workflow dispatch
- Application Metrics: Request rate, latency, error rate
- System Metrics: CPU, memory, disk I/O
- Business Metrics: Webhook processing time, GitHub API rate limits
- Grafana: Pre-configured dashboards for application and infrastructure monitoring
- Jaeger: Distributed tracing for request flow analysis
- Prometheus: Time-series metrics storage and alerting
- High error rate (>5% of requests)
- Elevated response time (p95 >500ms)
- GitHub API rate limit approaching threshold
- Database connection pool exhaustion
- Memory usage >80%
- β Webhook signature verification
- β OAuth 2.0 authentication
- β Secret management via environment variables
- β Regular dependency updates and security scanning
- β Rate limiting and DDoS protection
- β Input validation and sanitization
- β HTTPS/TLS enforcement
- β Principle of least privilege for GitHub App permissions
Automated security scans run on every PR:
- Trivy: Container vulnerability scanning
- npm audit: Dependency vulnerability checking
- CodeQL: Static application security testing (SAST)
Contributions are welcome! Please follow these steps:
- Fork the repository
- Create a feature branch (
git checkout -b feature/amazing-feature) - Commit your changes (
git commit -m 'Add amazing feature') - Push to the branch (
git push origin feature/amazing-feature) - Open a Pull Request
- Write tests for new features
- Follow TypeScript best practices
- Maintain code coverage >80%
- Update documentation as needed
- Follow conventional commit messages
MIT License - see LICENSE for details
- Issues: GitHub Issues
- Discussions: GitHub Discussions
- Email: support@topicality.com
- Core GitHub App integration
- Multi-region deployment
- Comprehensive monitoring
- CI/CD pipeline
- Advanced AI/ML features
- GraphQL API
- Plugin system
- Enhanced analytics dashboard
- Multi-cloud support (AWS, Azure, GCP)
Built with β€οΈ by Topicality