第 6 章 Deploying Streams for Apache Kafka using installation artifacts
Having prepared your environment for a deployment of Streams for Apache Kafka, you can deploy Streams for Apache Kafka to an OpenShift cluster. Use the installation files provided with the release artifacts.
Streams for Apache Kafka is based on Strimzi 0.40.x. You can deploy Streams for Apache Kafka 2.7 on OpenShift 4.12 to 4.16.
The steps to deploy Streams for Apache Kafka using the installation files are as follows:
- Deploy the Cluster Operator
Use the Cluster Operator to deploy the following:
Optionally, deploy the following Kafka components according to your requirements:
To run the commands in this guide, an OpenShift user must have the rights to manage role-based access control (RBAC) and CRDs.
6.1. Basic deployment path
You can set up a deployment where Streams for Apache Kafka manages a single Kafka cluster in the same namespace. You might use this configuration for development or testing. Or you can use Streams for Apache Kafka in a production environment to manage a number of Kafka clusters in different namespaces.
The first step for any deployment of Streams for Apache Kafka is to install the Cluster Operator using the install/cluster-operator files.
A single command applies all the installation files in the cluster-operator folder: oc apply -f ./install/cluster-operator.
The command sets up everything you need to be able to create and manage a Kafka deployment, including the following:
-
Cluster Operator (
Deployment,ConfigMap) -
Streams for Apache Kafka CRDs (
CustomResourceDefinition) -
RBAC resources (
ClusterRole,ClusterRoleBinding,RoleBinding) -
Service account (
ServiceAccount)
The basic deployment path is as follows:
- Download the release artifacts
- Create an OpenShift namespace in which to deploy the Cluster Operator
-
Update the
install/cluster-operatorfiles to use the namespace created for the Cluster Operator - Install the Cluster Operator to watch one, multiple, or all namespaces
-
Update the
- Create a Kafka cluster
After which, you can deploy other Kafka components and set up monitoring of your deployment.
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