Fabric8 Kubernetes Client 6.9 is now available!

On behalf of the Fabric8 team and everyone who has contributed, I'm happy to announce that the Fabric8 Kubernetes Client 6.9.0 has been released and is now available from Maven Central 🎉.

Thanks to all of you who have contributed with issue reports, pull requests, feedback, and spreading the word with blogs, videos, comments, and so on. We really appreciate your help, keep it up!

What's new?

Without further ado, let's have a look at the most significant updates:

• Kubernetes model types updated to v1.28
• OpenShift model types updated to v4.13
• 🐛 Many other bug fixes and minor improvements

You can find the full changelog for this version in our GitHub release page.

Kubernetes model types updated to v1.28

The Java types for the Kubernetes API have been updated to the latest v1.28 Kubernetes version. This will allow users to interact easily with newer Kubernetes APIs and objects by using our provided DSL builders.

OpenShift model types updated to v4.13

The Java types for the OpenShift API have been updated to the latest v4.13 OpenShift version. This will allow users to interact easily with newer OpenShift APIs and objects by using our provided DSL builders.

Using this release

If your project is based on Maven, you just need to add the Fabric8 Kubernetes Client to your Maven dependencies:

<dependency>
  <groupId>io.fabric8</groupId>
  <artifactId>kubernetes-client</artifactId>
  <version>6.9.0</version>
</dependency>

If your project is based on Gradle, you just need to add the Fabric8 Kubernetes Client to your Gradle dependencies:

dependencies {
  api "io.fabric8:kubernetes-client:6.9.0"
}

Once your project is ready, you can create a new instance of the client to perform operations. In the following code snippet, I show you how to instantiate the client and retrieve a list of Pods:

try (KubernetesClient client = new KubernetesClientBuilder().build()) {
  client.pods().list().getItems().forEach(p -> System.out.println(p.getMetadata().getName()));
}

How can you help?

If you're interested in helping out and are a first-time contributor, check out the "good first issue" tag in the issue repository. We've tagged extremely easy issues so that you can get started contributing to Open Source.

We're also excited to read articles and posts mentioning our project and sharing the user experience. Giving a star to the project, and spreading the word in general, helps us reach more users and broaden the feedback. Feedback is the only way to improve.

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