Kafka & Flink in Ride-Hailing: Event Streaming at Scale
Prerequisite: Familiarity with the concepts introduced in Part 2 — Geospatial Indexing. Review our high-throughput distributed systems case studies in Alipay Double 11 Extreme TPS Architecture to understand extreme scale queuing theory. Answer-first: Apache Kafka and Flink form the distributed event-streaming backbone of ride-hailing architectures, processing millions of telemetry pings per second with sub-50ms latency. Deterministic partition keying by driver ID preserves strict chronological trajectory ordering, while Flink sliding windows aggregate real-time supply-demand metrics to compute dynamic surge pricing and monitor fleet health. ...