- Replace Socket.IO with SSE for real-time server-to-client communication
- Add SSE service with client management and topic-based subscriptions
- Implement SSE authentication middleware and streaming endpoints
- Update all backend routes to emit SSE events instead of Socket.IO
- Create SSE context provider for frontend with EventSource API
- Update all frontend components to use SSE instead of Socket.IO
- Add comprehensive SSE tests for both backend and frontend
- Remove Socket.IO dependencies and legacy files
- Update documentation to reflect SSE architecture
Benefits:
- Simpler architecture using native browser EventSource API
- Lower bundle size (removed socket.io-client dependency)
- Better compatibility with reverse proxies and load balancers
- Reduced resource usage for Raspberry Pi deployment
- Standard HTTP-based real-time communication
🤖 Generated with [AI Assistant]
Co-Authored-By: AI Assistant <noreply@ai-assistant.com>
- Remove all mongoose dependencies from backend
- Convert Badge and PointTransaction models to CouchDB
- Fix gamificationService for CouchDB architecture
- Update Docker registry URLs to use HTTPS (port 443)
- Fix ingress configuration for HAProxy
- Successfully deploy multi-architecture images
- Application fully running on Kubernetes with CouchDB
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Co-Authored-By: AI Assistant <noreply@ai-assistant.com>
- Remove namespace: adopt-a-street from all metadata sections
- Update CouchDB NODENAME to use namespace-agnostic format
- Make all manifests deployable to any namespace
- Maintain service names and selectors for functionality
- All manifests validated with kubectl dry-run
Now manifests can be deployed to any namespace using:
kubectl apply -n <namespace> -f deploy/k8s/
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Co-Authored-By: AI Assistant <noreply@ai-assistant.com>
Add production-ready deployment configuration for Raspberry Pi cluster with comprehensive documentation and automation scripts.
Kubernetes Manifests (deploy/k8s/):
- namespace.yaml - Dedicated namespace for the application
- configmap.yaml - Environment configuration (MongoDB URI, ports, URLs)
- secrets.yaml.example - Template for sensitive credentials (JWT, Cloudinary, Stripe)
- mongodb-statefulset.yaml - MongoDB with persistent storage, placed on Pi 5 nodes (ARM64)
- backend-deployment.yaml - Backend with 2 replicas, prefers Pi 5 nodes, health checks
- frontend-deployment.yaml - Frontend with 2 replicas, can run on any node, nginx-based
- ingress.yaml - Traefik/NGINX ingress for API, Socket.IO, and frontend routing
Docker Configuration:
- backend/Dockerfile - Multi-stage build for ARM64/ARMv7 with health checks
- backend/.dockerignore - Excludes tests, coverage, node_modules from build
- frontend/Dockerfile - Multi-stage build with nginx, optimized for ARM
- frontend/.dockerignore - Excludes dev files from production build
- frontend/nginx.conf - Production nginx config with gzip, caching, React Router support
Resource Optimization for Pi Cluster:
- MongoDB: 512Mi-2Gi RAM, 250m-1000m CPU (Pi 5 only, ARM64 affinity)
- Backend: 256Mi-512Mi RAM, 100m-500m CPU (prefers Pi 5, ARM64)
- Frontend: 64Mi-128Mi RAM, 50m-200m CPU (any node, lightweight)
- Total: ~3.5GB RAM minimum, perfect for 2x Pi 5 (8GB) + 1x Pi 3B+ (1GB)
Automation Scripts (deploy/scripts/):
- build.sh - Build multi-arch images (ARM64/ARMv7) and push to registry
- deploy.sh - Deploy all Kubernetes resources with health checks and status reporting
- Both scripts include error handling, color output, and comprehensive logging
Documentation (deploy/README.md):
- Complete deployment guide with prerequisites
- Step-by-step instructions for building and deploying
- Verification commands and troubleshooting guide
- Scaling, updating, and rollback procedures
- Resource monitoring and cleanup instructions
- Security best practices and performance optimization tips
Health Endpoints:
- Backend: GET /api/health (status, uptime, MongoDB connection)
- Frontend: GET /health (nginx health check)
- Used by Kubernetes liveness and readiness probes
Key Features:
- Multi-architecture support (ARM64 for Pi 5, ARMv7 for Pi 3B+)
- NodeAffinity places heavy workloads (MongoDB, backend) on Pi 5 nodes
- Persistent storage for MongoDB (10Gi PVC)
- Horizontal pod autoscaling ready
- Zero-downtime deployments with rolling updates
- Comprehensive health monitoring
- Production-grade nginx with security headers
- Ingress routing for API, WebSocket, and static assets
Security:
- Secrets management with Kubernetes Secrets
- secrets.yaml excluded from Git (.gitignore)
- Minimal container images (alpine-based)
- Health checks prevent unhealthy pods from serving traffic
- Security headers in nginx (X-Frame-Options, X-Content-Type-Options, etc.)
Usage:
1. Build images: ./deploy/scripts/build.sh
2. Configure secrets: cp deploy/k8s/secrets.yaml.example deploy/k8s/secrets.yaml
3. Deploy: ./deploy/scripts/deploy.sh
4. Monitor: kubectl get all -n adopt-a-street
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
