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https://github.com/banzaicloud/koperator
Oh no! Yet another Apache Kafka operator for Kubernetes
https://github.com/banzaicloud/koperator
cruisecontrol kafka kafka-operator kubernetes
Last synced: 3 months ago
JSON representation
Oh no! Yet another Apache Kafka operator for Kubernetes
- Host: GitHub
- URL: https://github.com/banzaicloud/koperator
- Owner: banzaicloud
- License: apache-2.0
- Created: 2018-05-27T12:02:35.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2024-04-25T12:39:55.000Z (7 months ago)
- Last Synced: 2024-05-22T13:33:59.224Z (6 months ago)
- Topics: cruisecontrol, kafka, kafka-operator, kubernetes
- Language: Go
- Homepage:
- Size: 36.2 MB
- Stars: 771
- Watchers: 30
- Forks: 189
- Open Issues: 68
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
- Codeowners: .github/CODEOWNERS
- Security: SECURITY.md
- Roadmap: docs/roadmap.md
Awesome Lists containing this project
README
---
[](https://goreportcard.com/report/github.com/banzaicloud/koperator)
# Koperator
Koperator is an open-source operator that automates the provisioning, management, and autoscaling of Apache Kafka clusters on Kubernetes.
Unlike other solutions that rely on StatefulSets, Koperator has been built with a unique architecture that provides greater flexibility and functionality for managing Apache Kafka. This architecture allows for fine-grained configuration and management of individual brokers.
Some of the main features of Koperator are:
- the provisioning of secure and production-ready Kafka clusters
- fine-grained broker-by-broker configuration support
- advanced and highly configurable external access
- graceful Kafka cluster scaling and rebalancing
- detailed Prometheus metrics
- encrypted communication using SSL
- automatic reaction and self-healing based on alerts using [Cruise Control](https://github.com/linkedin/cruise-control)
- graceful rolling upgrades
- advanced topic and user management via Kubernetes Custom Resources
- Cruise Control task management via Kubernetes Custom Resources
## Architecture
Kafka is a stateful application, and the Kafka Broker is a server that can create and form a cluster with other Brokers. Each Broker has its own unique configuration, the most important of which is the unique broker ID.
Most Kubernetes operators that manage Kafka rely on [`StatefulSets`](https://kubernetes.io/docs/concepts/workloads/controllers/statefulset/) to create a Kafka Cluster.
While StatefulSets provide unique Broker IDs generated during Pod startup, networking between brokers with headless services, and unique Persistent Volumes for Brokers, they have a few restrictions. For example, Broker configurations cannot be modified independently, and a specific Broker cannot be removed from the cluster - a StatefulSet always removes the most recently created Broker. Furthermore, multiple, different Persistent Volumes cannot be used for each Broker.
*Koperator takes a different approach by using simple `Pods`, `ConfigMaps`, and `PersistentVolumeClaims` instead of `StatefulSets`. These resources allow us to build an Operator that is better suited to manage Apache Kafka.*
With Koperator, you can modify the configuration of unique Brokers, remove specific Brokers from clusters, and use multiple Persistent Volumes for each Broker.
If you want to learn more about our design motivations and the scenarios that drove us to create Koperator, please continue reading on our documentation page [here](https://banzaicloud.github.io/koperator-docs/docs/scenarios/).
## Quick start
This quick start guide will walk you through the process of deploying Koperator on an existing Kubernetes cluster and provisioning a Kafka cluster using its custom resources.
### Prerequisites
To complete this guide, you will need a Kubernetes cluster (with a suggested minimum of 6 vCPUs and 8 GB RAM). You can run the cluster locally using Kind or Minikube.
> The quick start will help you set up a functioning Kafka cluster on Kubernetes. However, it does not include guidance on the installation of Prometheus and cert-manager, which are necessary for some of the more advanced functionality.
#### Install ZooKeeper
The version of Kafka that is installed by the operator requires Apache ZooKeeper. You'll need to deploy a ZooKeeper cluster if you don’t already have one.
1. Install ZooKeeper using [Pravega’s Zookeeper Operator](https://github.com/pravega/zookeeper-operator).
```
helm install zookeeper-operator --repo https://charts.pravega.io zookeeper-operator --namespace=zookeeper --create-namespace
```
2. Create a ZooKeeper cluster.
```
kubectl create -f - < kubectl get pods -n zookeeper
NAME READY STATUS RESTARTS AGE
zookeeper-server-0 1/1 Running 0 27m
zookeeper-operator-54444dbd9d-2tccj 1/1 Running 0 28m
```
### Install Koperator
You can deploy Koperator using a Helm chart. Complete the following steps.
1. Install the Koperator `CustomResourceDefinition` resources (adjust the version number to the Koperator release you want to install). This is performed in a separate step to allow you to uninstall and reinstall Koperator without deleting your already installed custom resources.
```
kubectl create --validate=false -f https://github.com/banzaicloud/koperator/releases/download/v0.25.1/kafka-operator.crds.yaml
```
2. Install Koperator into the `kafka` namespace:
```
helm install kafka-operator --repo https://kubernetes-charts.banzaicloud.com kafka-operator --namespace=kafka --create-namespace
```
3. Create the Kafka cluster using the `KafkaCluster` custom resource. The quick start uses a minimal custom resource, but there are other examples in the same directory.
```
kubectl create -n kafka -f https://raw.githubusercontent.com/banzaicloud/koperator/master/config/samples/simplekafkacluster.yaml
```
4. Verify that the Kafka cluster has been created.
```
> kubectl get pods -n kafka
kafka-0-nvx8c 1/1 Running 0 16m
kafka-1-swps9 1/1 Running 0 15m
kafka-2-lppzr 1/1 Running 0 15m
kafka-cruisecontrol-fb659b84b-7cwpn 1/1 Running 0 15m
kafka-operator-operator-8bb75c7fb-7w4lh 2/2 Running 0 17m
```
### Test Kafka cluster
To test the Kafka cluster let's create a topic and send some messages.
1. You can use the `KafkaTopic` CR to create a topic called `my-topic`:
```
kubectl create -n kafka -f - <
## License
Copyright (c) 2023 [Cisco Systems, Inc.](https://www.cisco.com) and/or its affiliates
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
[http://www.apache.org/licenses/LICENSE-2.0](http://www.apache.org/licenses/LICENSE-2.0)
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
## Trademarks
Apache Kafka, Kafka, and the Kafka logo are either registered trademarks or trademarks of The Apache Software Foundation in the United States and other countries.