Spring for Apache Kafka Deep Dive – Part 4: Continuous Delivery of Event Streaming Pipelines | Confluent

What this post added

This post details how Spring Cloud Data Flow can be used to build and continuously deploy event streaming pipelines using Apache Kafka. It covers common streaming topology patterns like named destinations, parallel pipelines, partitioned streams, and function composition. The post also demonstrates how to handle multiple input/output destinations and provides an example of a Kafka Streams application for processing user click events.