What is the Purpose of Running Kafka on Kubernetes?

One of the biggest questions for a containerized data-processing system is “What is the purpose of running Kafka on Kubernetes?” First, let’s look at the best practices to run Kafka on Kubernetes, the benefits of Kafka in Kubernetes, how to configure it, and how to set up authentication.

Configuring Kafka on Kubernetes

Kubernetes offers networking options that make it easy to deploy Kafka for distributed applications. These options are node ports, routes, and the advertised listener’s option. Kafka requires that consumers and producers communicate directly with each other, which can be easily achieved with the help of Kubernetes’s broker configuration. Here are some tips you need to know for configuring Kafka for Kubernetes.

Select a location for your cluster: The ideal location is in a Kubernetes cluster. However, the exact location of the pods should be carefully selected to minimize network traffic. If you run into problems during deployment, a manual check is helpful to ensure that everything is functioning correctly. Also, consider whether your cluster will need more than it currently runs.

Use PersistentVolume for persistent data storage: A PersistentVolume is the cluster administrator’s view of a shared volume. It must be associated with a PersistentVolumeClaim, representing the application developer’s view of shared storage.

Use Kafka service: A headless service for Kubernetes, to manage pod endpoints. The latter will also control how pods handle requests based on their broker leader.

Benefits

Several major companies have moved to use Kubernetes, an open-source platform that runs clusters of master and worker nodes. It allows teams to manage, scale, and automate containerized workloads. Kubernetes is designed for high availability and allows teams to have a common set of APIs and services running in containers. Its benefits include built-in automation, high availability, and rolling updates. It also offers role-based access control to prevent unauthorized access to containerized data.

One of the greatest benefits of running Kafka on Kubernetes is its ability to scale easily without manual intervention. For example, if you’ve got a lot of data coming in and out of your cluster, you can use StatefulSets to automatically restart your cluster’s Kafka broker if it becomes too slow. In addition, Kubernetes’ StatefulSets maintain pod identity and provide automated rolling upgrades with zero downtime. Additionally, Kafka on Kubernetes hides the complexity of network configuration and lets Kafka communicate internally with its service name instead of a pod ID.

If you’re running Kafka on Kubernetes, it’s best to deploy it across the cluster as it will automatically configure communication between the various components. It prevents users from wasting time playing with network policies or matching ports. Moreover, with Kafka on Kubernetes, you can externalize your cluster to create a single load balancer for all brokers.

Authentication

Running Kafka on Kubernetes requires creating external services for each broker pod. The default Helm chart installation creates three broker pods. The only way to access them outside the cluster is to create an external service.

When running Kafka on Kubernetes, you should enable persistent storage for data. All brokers are stored on the same node by default, but you can increase this number by configuring different availability zones. Authentication is required when running Kafka on Kubernetes. The broker must replicate its data every time it starts, which means you must configure persistent storage.

Client applications must be able to authenticate to a particular broker to connect to it. It is achieved by setting up an external listener or LoadBalancer service that routes to the brokering pod. Authentication is also possible with Kafka connections. The default Kafka authorization plugin is AclAuthorizer. AclAuthorizer uses Access Control Lists to define which users are allowed access to different resources. To authenticate a Kafka connection, specify the group name and topic you want to access.

By default, Kafka cluster messages are unencrypted. To protect against man-in-the-middle attacks, you should configure Kafka clusters to use SSL/SSL authentication for messages. By securing these messages through an access control list, you will avoid a security breach. It will also prevent data pollution. The Kafka agent will send encrypted data to a trusted server.