Spring for Apache Kafka Deep Dive – Part 3: Apache Kafka and Spring Cloud Data Flow | Confluent

What this post added

This post introduces Spring Cloud Data Flow as a toolkit for designing, developing, and continuously delivering data pipelines, focusing on event streaming applications. It explains how Spring Cloud Data Flow orchestrates the deployment of these pipelines, often leveraging Apache Kafka as the underlying messaging middleware. The post details the Spring Cloud Data Flow ecosystem, including its dashboard, shell, DSL, and APIs, and how it integrates with Spring Cloud Skipper for application lifecycle management. It also covers developing event streaming applications using Spring Cloud Stream, outlining source, processor, and sink application types, and demonstrates creating a simple pipeline using the Stream DSL with an http source, a transform processor, and a log sink, all communicating via Kafka topics.