Real-Time Analytics Engine

Create a real-time analytics dashboard that ingests streaming data via WebSockets, computes running aggregations, and updates visualizations live. The AI detects noteworthy events in the stream and generates instant commentary on emerging patterns.

0 likes0 forks0 comments

analyticswebsocketstreamingreal-time

Objectives

Set up WebSocket-based data ingestion with simulated or real event streams
Compute running aggregations (counts, averages, percentiles) with sliding windows
Update dashboard charts in real time without page refresh
Use AI to detect and narrate noteworthy events as they occur
Support configurable time windows (1min, 5min, 1hr) for aggregation views

Hints

Use a circular buffer for efficient sliding window aggregations
Throttle chart updates to 1-2 fps for smooth rendering under high throughput
Batch events before sending to the AI to avoid excessive API calls

Resources

Comments (0)

to leave a comment.

No comments yet. Be the first to comment!