✅ Server-Sent Events (SSE) for real-time stream updates
✅ Subscription filtering (by stream ID, user, or all events)
✅ Automatic client management and cleanup
✅ Broadcasting system with targeted delivery
✅ Connection statistics endpoint
✅ Complete documentation with examples
✅ HTML test client
Chose SSE because:
- Unidirectional (server → client) fits DeFi streaming use case
- Simpler implementation, automatic reconnection
- Lower overhead for broadcasting updates
- Better HTTP/2 compatibility
- Easier to debug and monitor
backend/
├── src/
│ ├── services/
│ │ └── sse.service.ts # Core SSE service
│ ├── controllers/
│ │ └── sse.controller.ts # SSE endpoint handler
│ └── routes/
│ └── events.routes.ts # /events routes
├── docs/
│ └── SSE_IMPLEMENTATION.md # Full documentation
└── test-sse-client.html # Test client
src/app.ts- Added events routessrc/controllers/stream.controller.ts- Integrated SSE broadcasting
GET /events/subscribe?streams=1&streams=2
GET /events/subscribe?users=GABC...
GET /events/subscribe?all=true
GET /events/stats
stream.created- New stream createdstream.topped_up- Stream received fundsstream.withdrawn- Funds withdrawnstream.cancelled- Stream cancelledstream.completed- Stream completed
- Start the backend:
cd backend
npm run dev- Open test client:
open test-sse-client.html
# or
python3 -m http.server 8000
# then visit http://localhost:8000/test-sse-client.html- Test with curl:
curl -N http://localhost:3001/events/subscribe?all=true- Trigger an event:
curl -X POST http://localhost:3001/streams \
-H "Content-Type: application/json" \
-d '{
"sender": "GABC...",
"recipient": "GDEF...",
"tokenAddress": "CUSDC...",
"ratePerSecond": "1000000",
"depositedAmount": "86400000000",
"startTime": 1708560000
}'- Add JWT authentication to
/events/subscribe - Implement per-IP connection limits
- Use reverse proxy (nginx/CloudFlare) for DDoS protection
- Add Redis pub/sub for multi-instance deployments
- Monitor connection count and set alerts
- Implement connection pooling limits
- Track active connections
- Monitor events/second
- Alert on reconnection spikes
Expected capacity (single instance):
- 10,000 connections: ~100MB memory
- 1,000 events/sec: Minimal CPU impact
- Connection overhead: ~10KB per client
- Integrate with actual blockchain indexer
- Add authentication middleware
- Implement Redis for horizontal scaling
- Add Prometheus metrics
- Create frontend React hook
- Add E2E tests
Full documentation: backend/docs/SSE_IMPLEMENTATION.md
Includes:
- Client implementation examples (JS, React)
- Reconnection strategies
- Load & security considerations
- Horizontal scaling guide
- Monitoring recommendations