Red Hat SummitChapter 5. Downloading deployment files
To deploy Streams for Apache Kafka components using YAML files, download and extract the latest release archive (streams-2.9-ocp-install-examples.zip) from the Streams for Apache Kafka software downloads page.
The release archive contains sample YAML files for deploying Streams for Apache Kafka components to OpenShift using oc.
Begin by deploying the Cluster Operator from the install/cluster-operator directory to watch a single namespace, multiple namespaces, or all namespaces.
In the install folder, you can also deploy other Streams for Apache Kafka components, including:
-
Streams for Apache Kafka administrator roles (
strimzi-admin) -
Standalone Topic Operator (
topic-operator) -
Standalone User Operator (
user-operator) -
Streams for Apache Kafka Drain Cleaner (
drain-cleaner)
The examples folder provides examples of Streams for Apache Kafka custom resources to help you develop your own Kafka configurations.
Streams for Apache Kafka container images are available through the Red Hat Ecosystem Catalog, but we recommend using the provided YAML files for deployment.
5.1. Deploying the Streams for Apache Kafka Proxy
Streams for Apache Kafka Proxy is an Apache Kafka protocol-aware proxy designed to enhance Kafka-based systems. Through its filter mechanism it allows additional behavior to be introduced into a Kafka-based system without requiring changes to either your applications or the Kafka cluster itself.
For more information on connecting to and using the Streams for Apache Kafka Proxy, see the proxy guide in the Streams for Apache Kafka documentation.
This feature is a technology preview and not intended for a production environment. For more information see the release notes.
5.2. Deploying the Streams for Apache Kafka Console
After you have deployed a Kafka cluster that’s managed by Streams for Apache Kafka, you can deploy and connect the Streams for Apache Kafka Console to the cluster. The console facilitates the administration of Kafka clusters, providing real-time insights for monitoring, managing, and optimizing each cluster from its user interface.
For more information on connecting to and using the Streams for Apache Kafka Console, see the console guide in the Streams for Apache Kafka documentation.
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