Real-time sensor data and GPS tracking via WebSocket streaming
Screenshots
Industrial environments require real-time visibility into sensor data and asset locations. I engineered a telemetry platform that delivers live data streams from field devices to a web dashboard with sub-second latency.
The architecture uses persistent WebSocket connections managed by a Python/FastAPI backend, with a message broker handling fan-out to multiple connected clients. GPS data and industrial sensor readings are ingested, validated, and streamed live.
Data persistence uses PostgreSQL with time-series optimized queries, enabling both real-time monitoring and historical analytics. The frontend dashboard built with React updates in real time without page refreshes.
Deployed on Linux servers with Docker, the system handles multiple concurrent device connections and has been running in production without downtime.