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Chapter 1. Overview of AMQ Streams

AMQ Streams makes it easy to run Apache Kafka on OpenShift. Apache Kafka is a popular platform for streaming data delivery and processing. For more information about Apache Kafka, see the Apache Kafka website.

AMQ Streams is based on Apache Kafka 2.0.1 and consists of three main components:

Cluster Operator
Responsible for deploying and managing Apache Kafka clusters within OpenShift cluster.
Topic Operator
Responsible for managing Kafka topics within a Kafka cluster running within OpenShift cluster.
User Operator
Responsible for managing Kafka users within a Kafka cluster running within OpenShift cluster.

This guide describes how to install and use Red Hat AMQ Streams.

1.1. Kafka Key Features

  • Scalability and performance

    • Designed for horizontal scalability

  • Message ordering guarantee

    • At partition level

  • Message rewind/replay

    • "Long term" storage
    • Allows to reconstruct application state by replaying the messages
    • Combined with compacted topics allows to use Kafka as key-value store

1.2. Document Conventions

Replaceables

In this document, replaceable text is styled in monospace and italics.

For example, in the following code, you will want to replace my-namespace with the name of your namespace: 

sed -i 's/namespace: .*/namespace: my-namespace/' install/cluster-operator/*RoleBinding*.yaml