Challenge
A logistics company needed real-time visibility into their fleet of 5,000+ vehicles. Their existing system updated vehicle positions every 30 seconds, which was insufficient for efficient dispatching. The new system needed to handle 50,000+ GPS updates per second while providing sub-second latency dashboards to 500+ concurrent dispatchers.
Solution
We built a high-performance real-time system that processes GPS data stream from vehicle telematics, stores it efficiently, and delivers updates to dispatchers in real-time through WebSocket connections.
Architecture
- Ingestion - Custom WebSocket servers handling 50K+ connections
- Stream Processing - Apache Kafka for message queuing
- Real-time Database - TimescaleDB for efficient time-series storage
- Dashboard Servers - WebSocket servers pushing updates to clients
- Orchestration - Kubernetes for scalable deployment
Results
- <100ms latency - From GPS event to dashboard update
- 50K+ updates/sec - Sustained throughput
- 500+ concurrent users - With consistent performance
- 40% reduction in delivery delays through better routing
Key Technologies
Node.js, WebSocket, Apache Kafka, TimescaleDB, Kubernetes, Docker, TypeScript, Redis
5K+ Vehicles
50K+ Updates/sec
<100ms Latency