Realtime Analytics Dashboard
A dashboard for monitoring and analyzing business KPIs in real time. Real-time data streaming over WebSocket and interactive charts support data-driven decision-making.
Project Overview
A real-time business analytics dashboard for startups and small to mid-sized businesses. Without complex BI tools, teams can track and analyze key metrics such as revenue, user behavior, and server performance in real time.
Key Features
Real-Time Data Streaming
Data is pushed from the server to the client in real time over a WebSocket connection. When data changes, charts update instantly with smooth animations.
@app.websocket("/ws/metrics/{dashboard_id}")
async def metrics_stream(websocket: WebSocket, dashboard_id: str):
await websocket.accept()
async for metric in metric_stream(dashboard_id):
await websocket.send_json(metric.dict())
Custom Widget System
Dashboard layouts can be freely arranged with drag and drop. A wide range of widget types is supported, including line charts, bar charts, pie charts, KPI cards, and tables, and each widget's data source and visualization options can be fine-tuned.
Alert System
Once thresholds are set, you get instant alerts via Slack, email, or web push whenever a KPI moves outside a given range. Alert rules support AND/OR combinations, so even complex conditions can be configured.
Tech Stack
- Frontend: React 19, TypeScript, D3.js, react-grid-layout
- Backend: Python, FastAPI, WebSocket
- Database: PostgreSQL, TimescaleDB (time-series data)
- Message Queue: Redis Pub/Sub
- Deployment: AWS ECS, CloudFront
Results
- Achieved data update latency of under 50ms
- Supports 500+ concurrent users
- Dashboard load time within 1.2 seconds