Real-Time AI Data Platform.
Live data streaming with anomaly detection at sub-100ms latency
The operations team was monitoring critical business metrics through a dashboard that polled a REST API every 30 seconds. When something broke, they learned about it minutes later — sometimes through customer complaints. They needed real-time streams, anomaly detection that could tell a genuine outage from a normal traffic spike, and connections that stayed alive for thousands of concurrent operators across three time zones. Two previous vendors had quoted 'six months and a dedicated ops team' for this work.
We built a real-time pipeline using Django Channels for WebSocket connections — the authentication, permissions, and domain logic already lived in Django, so putting the real-time layer inside the same framework cut three weeks of glue code. The React frontend uses Socket.io for persistent bi-directional communication. A custom anomaly-detection model runs as a separate Celery worker, pulling from the same event stream without blocking message delivery. When the model flags something, alerts route to email and Slack within seconds — and include the last 60 seconds of context so the on-call engineer doesn't have to go hunting.
Outcomes that mattered.
Sustains 5,000+ concurrent WebSocket connections with sub-100ms message delivery
AI anomaly detection catches 92% of data irregularities before a human would review them
Incident response time fell from 15 minutes to under 30 seconds
Customer-reported outages dropped 78% in the first quarter post-launch
Technology decisions.
Django Channels over a standalone WebSocket server meant we kept one auth system, one permission model, one deployment. Redis is doing two jobs: the channel layer for message routing and the cache for frequently accessed data. The anomaly model runs in isolated Celery workers so a model hiccup can't back up the real-time queue. Horizontal scaling is per-service — we add Channels pods when connection count grows and Celery pods when event volume grows, and the two never compete for the same resources.
Let's build
something
together.
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