Challenge
Realtime analytics products need to ingest, normalize, process, and present fast-changing data without overloading the interface or backend.
Realtime Data System
Realtime Market Scanner Dashboard
A realtime scanner interface with configurable filters, live updates, system health, and internal research workflow controls.
Project narrative
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Solution
The scanner uses event-driven data processing, WebSocket updates, queue-backed jobs, and focused interface states that help teams monitor changing data conditions.
Core modules
Realtime data ingestion
Scanner rules
Live dashboard panels
Job health monitoring
Data freshness indicators
Internal alert routing
Architecture highlights
WebSocket communication layer
Redis-backed realtime state
Worker queues for computation
Observability screens for technical support
Stack
Technology used
Django ChannelsRedisCeleryWebSocketsDockerCloud
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