Kafka Streams in Action, Second Edition

appendix D Understanding Kafka Streams architecture

In this book, you’ve learned that Kafka Streams is a directed, acyclic graph of processing nodes called a topology. You’ve seen how to add processing nodes to a topology for processing events in a Kafka Topic. But we still need to discuss how Kafka Streams get events into a topology, how the processing occurs, and how processed events are written back to a Kafka topic. We’ll take a deeper look into these questions in this appendix.

D.1 High-level view

Figure D.1 shows a high-level view of what we’re going to discuss.

Figure D.1 Componetized view of a Kafka Streams application. There ...