Apache Kafka - K8s

Channel Revision Published Runs on
latest/stable 5 09 Mar 2022
Ubuntu 20.04
latest/edge 27 25 Apr 2023
Ubuntu 22.04 Ubuntu 20.04
latest/edge 13 21 Oct 2022
Ubuntu 22.04 Ubuntu 20.04
3/stable 56 27 Feb 2024
Ubuntu 22.04
3/candidate 56 27 Feb 2024
Ubuntu 22.04
3/beta 56 27 Feb 2024
Ubuntu 22.04
3/edge 74 Yesterday
Ubuntu 22.04
juju deploy kafka-k8s --channel 3/edge
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Platform:

Charmed Kafka K8s tutorial

The Charmed Kafka Operator delivers automated operations management from Day 0 to Day 2 on the Apache Kafka event streaming platform. It is an open source, end-to-end, production-ready data platform on top of Juju. As a first step this tutorial shows you how to get Charmed Kafka K8s up and running, but the tutorial does not stop there. As currently Kafka requires a paired ZooKeeper deployment in production, this operator makes use of the ZooKeeper Operator for various essential functions. Through this tutorial you will learn a variety of operations, everything from adding replicas to advanced operations such as enabling Transcript Layer Security (TLS).

In this tutorial we will walk through how to:

  • Set up an environment using Multipass with MicroK8s and Juju.
  • Deploy Kafka using a couple of commands.
  • Get the admin credentials directly.
  • Add high availability with replication.
  • Change the admin password.
  • Automatically create Kafka users via Juju relations.
  • Enable secure connection with TLS.

While this tutorial intends to guide and teach you as you deploy Charmed Kafka, it will be most beneficial if you already have a familiarity with:

  • Basic terminal commands.
  • Kafka concepts such as replication and users.

Minimum requirements

Before we start, make sure your machine meets the following requirements:

  • Ubuntu 20.04 (Focal) or later.
  • 8 GB of RAM.
  • 2 CPU threads.
  • At least 20 GB of available storage.
  • Access to the internet for downloading the required snaps and charms.

Step-by-step guide

Here’s an overview of the steps required with links to our separate tutorials that deal with each individual step:


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