ended6월 13일· 1 sources

How Uber and Grab Process 1.25M GPS Updates Per Second

Uber와 Grab이 초당 125만 GPS 업데이트를 처리하는 방법

Why it matters

Processing millions of real-time GPS updates requires a fundamental shift from traditional HTTP REST architectures. By adopting persistent connections (MQTT or gRPC), lightweight serialization (Protobuf), and intelligent filtering (Kalman Filter), ride-hailing platforms can reduce network overhead by 67% while maintaining sub-200ms latency—directly impacting battery life and user experience at global scale.

1
Sources
+0
24h
Growth
4d
Active
gRPC StreamingMQTTKalman FilterGPS trackingReal-time Architecture

Sources

Related Issues