feat: Implement production deployment infrastructure with Blue-Green strategy
Add comprehensive deployment automation and operational tooling:
## GitHub Actions Deployment Workflow
- `.github/workflows/deploy-production.yml`: Full CI/CD pipeline
- Pre-deployment validation (version format, breaking changes)
- Multi-stage Docker builds with caching
- Security scanning (Trivy for vulnerabilities)
- Automated staging deployment on main branch push
- Blue-Green production deployment on version tags (v*.*.*)
- Health checks and smoke tests
- Automatic rollback on failure
- 5-minute post-deployment monitoring
- GitHub release creation
## Docker Production Infrastructure
- `docker/Dockerfile.frontend`: Multi-stage build with nginx
- Production optimizations (remove source maps, compression)
- Health check endpoint
- Non-root user for security
- Static asset caching
- `docker/Dockerfile.backend`: Production Python backend
- System dependencies (ffmpeg, libsndfile)
- Gunicorn with Uvicorn workers
- Health check endpoint
- Non-root user for security
- `docker/nginx.conf`: High-performance nginx configuration
- Gzip compression for all assets
- Security headers (X-Frame-Options, CSP, etc.)
- Performance optimizations (sendfile, tcp_nopush)
- `docker/nginx-default.conf`: Application routing
- API proxy with WebSocket support
- Static asset caching (1 year for immutable assets)
- SPA routing for React app
- Content Security Policy
## Docker Compose Configurations
- `docker-compose.staging.yml`: Staging environment
- Frontend, Backend, PostgreSQL, Redis, Celery
- Debug logging enabled
- Separate network isolation
- `docker-compose.production.yml`: Production with Blue-Green support
- Resource limits (CPU, memory)
- Health checks for all services
- Optimized PostgreSQL configuration
- Redis persistence with AOF
- Multiple Celery workers with task limits
- Nginx reverse proxy
- Proper volume management
- Production logging (JSON format, rotation)
## Environment Configuration
- `.env.staging.example`: Staging environment template
- Database, Redis, JWT configuration
- API URLs and CORS settings
- Feature flags
- `.env.production.example`: Production template
- Security-focused defaults
- Blue-Green deployment variables
- Monitoring integrations (Sentry, analytics)
- Email, AWS/S3 configuration
- Performance tuning settings
## Health Check System
- `backend/app/api/endpoints/health.py`: Comprehensive health endpoints
- `/health`: Simple load balancer check
- `/health/ready`: Readiness with dependency validation
- `/health/live`: Kubernetes liveness probe
- `/health/detailed`: Full system metrics (CPU, memory, disk)
- `/health/startup`: Startup probe with migration checks
- `/metrics`: Prometheus-compatible metrics
- `public/health.html`: Frontend health check page
- Updated `backend/app/main.py`: Include health router
## Documentation
- `DEPLOYMENT.md`: Complete deployment guide (200+ lines)
- Prerequisites and infrastructure requirements
- Initial server setup instructions
- SSL certificate configuration
- Automatic and manual deployment procedures
- Blue-Green deployment strategy
- Environment configuration
- Health check documentation
- Monitoring and troubleshooting
- Rollback procedures
- Backup and recovery
- Scaling guidelines
- Security checklist
- `RUNBOOK.md`: Operations manual (300+ lines)
- Emergency procedures (site down, DB failure, high load)
- Daily health check scripts
- Deployment procedures
- Incident response playbook (P0-P3 severity levels)
- Weekly and monthly maintenance tasks
- Performance optimization guides
- Monitoring setup
- Contact and escalation paths
## Deployment Scripts
- `scripts/health-check.sh`: Automated health verification
- Frontend, backend, readiness checks
- Detailed metrics option
- Multi-environment support
- `scripts/deploy.sh`: Semi-automated deployment
- Pre-deployment validation
- Automatic backup creation
- Blue-Green deployment for production
- Health check verification
- Rollback on failure
## Infrastructure Improvements
- Updated `backend/pyproject.toml`:
- Added gunicorn for production server
- Added psutil for system monitoring
- `.dockerignore`: Optimize Docker build context
## Deployment Features
### Blue-Green Deployment Strategy
- Zero-downtime deployments
- Instant rollback capability
- Health check validation before traffic switch
- Automatic cleanup of old environment
### Security
- Non-root containers
- Security headers (CSP, X-Frame-Options, HSTS)
- Vulnerability scanning in CI/CD
- Environment variable validation
- SSL/TLS enforcement
### Performance
- Multi-stage Docker builds
- Layer caching for faster builds
- Gzip compression
- Static asset caching
- Database connection pooling
- Redis caching layer
### Reliability
- Health checks at multiple levels
- Automatic restart on failure
- Resource limits to prevent resource exhaustion
- Database backups before deployment
- Comprehensive logging
### Monitoring
- Prometheus metrics endpoint
- System resource monitoring (CPU, memory, disk)
- Database pool statistics
- Cache hit rates
- Container health status
## Usage
**Deploy to Staging:**
```bash
git push origin main # Auto-deploys via GitHub Actions
```
**Deploy to Production:**
```bash
git tag -a v1.0.1 -m "Release v1.0.1"
git push origin v1.0.1 # Auto-deploys via GitHub Actions
```
**Manual Deployment:**
```bash
./scripts/deploy.sh production v1.0.1
```
**Health Check:**
```bash
./scripts/health-check.sh production --detailed
```
This infrastructure provides enterprise-grade deployment automation with:
✅ Zero-downtime deployments
✅ Automatic rollback on failure
✅ Comprehensive health monitoring
✅ Security best practices
✅ Performance optimization
✅ Complete operational documentation
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
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