Deploy Apache Kafka on Kubernetes

Apache Kafka is an open-source distributed event streaming platform that can be used to build real-time data pipelines and streaming applications. Kubernetes is an open-source platform that automates the deployment, scaling, and management of containerized applications. Combining Apache Kafka with Kubernetes allows for scalable and highly available deployment of Kafka clusters. In this article, we will go through the steps to deploy Apache Kafka on Kubernetes.

Prerequisites:

Before we start with the deployment process, ensure that you have the following prerequisites:

• A running Kubernetes cluster
• Helm installed on your local machine
• kubectl installed on your local machine

Table of Contents

1. Install Apache Kafka using Helm

2. Verify the Kafka Cluster Deployment

3. Scaling Kafka Cluster

4. Access Kafka Cluster

Install Apache Kafka using Helm:

Helm is a package manager for Kubernetes, and it can be used to install Kafka on Kubernetes. Follow the below steps to install Kafka using Helm:

• Add the Bitnami Helm Chart repository to your local machine using the following command:

helm repo add bitnami https://charts.bitnami.com/bitnami

• Install Kafka using the below command:

helm install kafka bitnami/kafka

Verify the Kafka Cluster Deployment:

To verify the Kafka cluster deployment, follow the below steps:

• List the pods in the Kafka namespace using the following command:

kubectl get pods -n kafka

• The output should display the Kafka broker and Zookeeper pods running in the Kafka namespace.

Scaling Kafka Cluster:

Kafka can be scaled up or down based on the workload. Follow the below steps to scale Kafka:

• Update the replicas value in the Kafka deployment using the following command:

kubectl scale deployment kafka --replicas=<number of replicas>

• For example, to scale Kafka to 3 replicas, use the below command:

kubectl scale deployment kafka --replicas=3

Access Kafka Cluster:

To access the Kafka cluster, follow the below steps:

• Forward the Kafka port to your local machine using the following command:

kubectl port-forward svc/kafka 9092:9092 -n kafka

• This command forwards the Kafka service port to the local port 9092. You can access Kafka using the local port 9092.

More Examples:

1. To upgrade the Kafka version, use the below command:

helm upgrade kafka bitnami/kafka

2. To delete the Kafka deployment, use the below command:

helm delete kafka

In this article, we went through the steps to deploy Apache Kafka on Kubernetes. We used Helm to install Kafka on Kubernetes and verified the deployment by listing the Kafka and Zookeeper pods. We also learned how to scale Kafka based on the workload and how to access Kafka from the local machine. With the deployment of Kafka on Kubernetes, we can build scalable and highly available Kafka clusters.

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That's it for this post. Keep practicing and have fun. Leave your comments if any.