Installation

On this page you will install the Stackable Operator for Apache Kafka and operators for its dependencies - ZooKeeper - as well as the commons, secret and listener operator which are required by all Stackable Operators.

Stackable Operators

There are 2 ways to install Stackable Operators:

  1. Using stackablectl

  2. Using Helm

stackablectl

The stackablectl command line tool is the recommended way to interact with operators and dependencies. Follow the installation steps for your platform if you choose to work with stackablectl.

After you have installed stackablectl, run the following command to install all operators necessary for Kafka:

stackablectl operator install \
  commons=0.0.0-dev \
  secret=0.0.0-dev \
  listener=0.0.0-dev \
  zookeeper=0.0.0-dev \
  kafka=0.0.0-dev

The tool will show

[INFO ] Installing commons operator in version 0.0.0-dev
[INFO ] Installing secret operator in version 0.0.0-dev
[INFO ] Installing listener operator in version 0.0.0-dev
[INFO ] Installing zookeeper operator in version 0.0.0-dev
[INFO ] Installing kafka operator in version 0.0.0-dev
Consult the Quickstart to learn more about how to use stackablectl.

Helm

You can also use Helm to install the operators. Add the Stackable Helm repository:

helm repo add stackable-dev https://repo.stackable.tech/repository/helm-dev/

Then install the Stackable Operators:

helm install --wait commons-operator stackable-dev/commons-operator --version 0.0.0-dev
helm install --wait secret-operator stackable-dev/secret-operator --version 0.0.0-dev
helm install --wait listener-operator stackable-dev/listener-operator --version 0.0.0-dev
helm install --wait zookeeper-operator stackable-dev/zookeeper-operator --version 0.0.0-dev
helm install --wait kafka-operator stackable-dev/kafka-operator --version 0.0.0-dev

Helm will deploy the operators in a Kubernetes Deployment and apply the CRDs for the Apache Kafka service (as well as the CRDs for the required operators). You are now ready to deploy Apache Kafka in Kubernetes.

What’s next

Set up a Kafka cluster and its dependencies.