Internal Engineering Demonstration
Realtime Support Dashboard
Internal engineering demonstration. This is not a client deployment. All scenarios, figures and outcomes are illustrative and created to showcase NorthFlow Studio's technical approach.
Business challenge
- Support leads needed a live view of ticket state across agents.
- Polling caused stale data and unnecessary load.
- Presence ('who's online') was missing.
Objectives
- Update latency: Sub-200ms ticket status updates across all clients
- Concurrent users: Support 50 concurrent support agents without degradation
- Client polling: Zero client-side polling; all updates push-based
Architecture
[ DB change ]
│
▼
[ Realtime channel ] ──▶ [ Client store ]
│ │
└── optimistic UI ─────┘ (reconcile on confirm)
Server broadcasts; client reconciles.
subscribe.ts
channel.on('broadcast', { event: 'ticket' }, (e) => {
store.upsert(e.payload);
});Technology
ReactSupabase RealtimePostgreSQLTypeScript
Features
- Live ticket board with real-time status and assignee updates
- Agent presence indicators with heartbeat and graceful leave handling
- Optimistic UI updates with server reconciliation on broadcast confirm
- Conflict resolution: last-write-wins for status, explicit lock for assignments
Implementation
- 1Model tickets with status and assignee.
- 2Broadcast changes over a realtime channel.
- 3Apply optimistic updates, reconcile on confirm.
- 4Show agent presence from the channel.
Tradeoffs
Realtime vs polling
Realtime is snappier but needs reconnect handling; polling is simpler to reason about.
Conflict strategy
Last-write-wins for status; explicit lock for assignments.
Performance
- Channel fan-out rather than per-client DB queries.
- Backpressure on high-frequency updates.
Lessons learned
- Optimistic UI must reconcile or users lose trust.
- Presence needs a heartbeat and graceful leave.
Future roadmap
- Add offline queue and replay.
- Add role-scoped visibility.
Demo video placeholder
Screenshot / GitHub placeholder
FAQ
Is this a client system?+
No. It's a technical demonstration of a realtime pattern.
Where can I learn more?+
See our Realtime Systems architecture note.
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