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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 2.0.0 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
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