The Problem Space

Legacy logistics dashboards often rely on REST API polling (e.g., fetching truck locations every 10 seconds). With a fleet of 5,000+ vehicles, this generates millions of redundant HTTP requests, bottlenecks the database, and results in inaccurate, jumpy ETAs on the dispatch screen.

Our Engineering Approach

We replace request/response polling with a strictly push-based, event-stream architecture tailored for high-throughput IoT data.

Key Architectural Decisions:

1. Persistent WebSocket Gateways: We implement scalable Socket.io or native WebSocket servers behind a Redis Pub/Sub adapter to maintain persistent, bi-directional connections with thousands of truck IoT devices simultaneously.
2. Time-Series Database Ingestion: Standard relational databases (like PostgreSQL) lock up under extreme write loads. We route GPS telemetry directly into a Time-Series Database (like TimescaleDB or InfluxDB), allowing us to write thousands of coordinates per second without impacting read queries for the web dashboard.
3. WebGL Frontend Rendering: Rendering thousands of moving DOM elements crashes standard browsers. We refactor the React frontend to use WebGL-accelerated map rendering (like Mapbox GL JS), allowing smooth 60fps rendering of massive fleets.

Target Outcomes

• Sub-200ms Latency: Real-time visibility into fleet movements.
• Minimal Server Load: CPU utilization drops dramatically when transitioning from polling to event-driven WebSockets.
• Actionable Geofencing: Dispatchers can trigger instant alerts when vehicles enter or leave designated zones without data lag.