Kafka Streams Introduction

So this post will be an introductory one on Kafka Streams. It is not intended to be one on Apache Kafka itself. For that there are many interesting books/posts/documents available which cover this topic. That said there are still a few key concepts that we will need to introduce before we can start talking about Kafka Streams, such as Kafka overall architecture Topics Commit Log Consumer group After we have talked about these (and I will only be skimming the surface of these, you really would be better off reading about Kafka if this is brand new territory for you), I will then move on to talk about some of the basic building blocks of Kafka Streams Kafka overall architecture As shown in the diagram above, Kafka is a broker and is intended to run in a cluster (which might be a single broker, but that is obviously not what's recommended). It also makes use of Zookeeper for various state storage/metadata. Topics Kafka uses topics as a way of organizing what data is produced/read. Producers push data to topics, whilst consumers read data from topics.

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Kafka