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Chapter 1. Overview of AMQ Streams
AMQ Streams is based on Apache Kafka, a popular platform for streaming data delivery and processing. AMQ Streams makes it easy to run Apache Kafka on OpenShift.
AMQ Streams provides three operators:
- Cluster Operator
- Responsible for deploying and managing Apache Kafka clusters within an OpenShift cluster.
- Topic Operator
- Responsible for managing Kafka topics within a Kafka cluster running within an OpenShift cluster.
- User Operator
- Responsible for managing Kafka users within a Kafka cluster running within an OpenShift cluster.
Note
The Cluster Operator can deploy the Topic Operator and User Operator (as part of an Entity Operator configuration) at the same time as a Kafka cluster.
Operators within the AMQ Streams architecture
1.1. Kafka Key Features
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- Designed for horizontal scalability
- Message ordering guarantee at the partition level
Message rewind/replay
- "Long term" storage allows the reconstruction of an application state by replaying the messages
- Combines with compacted topics to use Kafka as a key-value store
Additional resources
- For more information about Apache Kafka, see the Apache Kafka website.
1.2. Document Conventions
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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
sed -i 's/namespace: .*/namespace: my-namespace/' install/cluster-operator/*RoleBinding*.yaml
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