Streaming

Previous Chapter: Part 1 — Microservices & GitOps Blueprint | Series Hub | Next Chapter: Part 3 — Data Infrastructure: From Aurora to TiDB Answer-first: PayPay guarantees zero event loss and strict ledger decoupling under promotional surges exceeding 1,250 TPS by combining the Transactional Outbox pattern with Debezium CDC and Apache Kafka. Consumer groups utilize the CooperativeStickyAssignor to prevent rebalance stop-the-world pauses, while a two-stage Redis distributed lock provides exactly-once processing semantics before persisting updates into the database. ...

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. ...