Working With Reactive Kafka Stream and Spring WebFlux

Spring 5 introduced reactive programming support via Spring WebFlux, enabling the development of scalable, efficient, and real-time data applications. This post explains how to integrate Reactive Kafka Streams with Spring WebFlux to create fully reactive pipelines using Spring Cloud Stream Reactive Kafka Binder. A stock analytics application example demonstrates the setup, including producer configuration, Kafka stream processing, and database integration using ClickHouse. Additionally, practical pitfalls and best practices for managing backpressure, serialization issues, and error recovery are discussed.