PayPay Event-Driven Architecture: Kafka at Scale
Prerequisite: Familiarity with the concepts introduced in Part 1 — Microservices Gitops. Review it first if the terminology in this part is unfamiliar. Answer-first: Managing transaction surges during PayPay’s massive marketing campaigns requires event-driven architecture powered by Apache Kafka. Partition key tuning, Go consumer worker pools, and channel-based backpressure prevent message loss during peak traffic spikes. Answer-first: PayPay builds a decoupled microservices network by streaming transactions asynchronously via Apache Kafka. To ensure financial safety, consumers process events using idempotency keys tracked in distributed caches, preventing duplicate ledger entries or double-spend occurrences in the event of retries or network partition splits. ...