Some blog posts ago, we experimented with Kafka Messaging and Kafka Streams. Although we used Spring Boot applications in order to demonstrate some examples, we deliberately did not make use of Spring Kafka. Reason for doing so, was to get acquainted with Apache Kafka first without any abstraction layers in between. Now that we have done so, it is of course time to take a look at Spring Kafka!
In this post, we will take a look at joins in Kafka Streams. Main goal is to get a better understanding of joins by means of some examples. The examples are taken from the Kafka Streams documentation but we will write some Java Spring Boot applications in order to verify practically what is written in the documentation.
In this post, we will take a look at Kafka Streams. We will give a short introduction, but the main part of the blog will be about writing some simple Java applications. This way, we are going to get more familiar with Kafka Streams from a practical point of view.
In this post, we will take a closer look at Apache Kafka Messaging. We will show how you can easily start a Kafka cluster and how messages can be sent and received by means of CLI and from a Java application. At the end, we will explore how partitions work from a practical point of view.