Event Sourcing Using Apache Kafka | Confluent

This post introduces event sourcing as a pattern that can be implemented using Apache Kafka. It outlines three strategies for storing events in Kafka (single topic, topic-per-entity-type, topic-per-entity) and discusses the trade-offs. It details how Kafka Streams and its state stores can be used to efficiently manage and query the current state of entities derived from event streams. The post also covers interactive queries for cross-node state access, changelog topics and standby replicas for fault tolerance, and the use of Kafka's transactional capabilities for exactly-once processing guarantees.