gyfora commented on code in PR #775: URL: https://github.com/apache/flink-web/pull/775#discussion_r1975145899
########## docs/content/posts/2025-03-03-release-kubernetes-operator-1.11.0.md: ########## @@ -0,0 +1,90 @@ +--- +title: "Apache Flink Kubernetes Operator 1.11.0 Release Announcement" +date: "2025-03-03T18:00:00.000Z" +authors: +- gyfora: + name: "Gyula Fora" +aliases: +- /news/2025/03/03/release-kubernetes-operator-1.11.0.html +--- + +The Apache Flink community is excited to announce the release of Flink Kubernetes Operator 1.11.0! +The version brings a number of important fixes and improvements to both core and autoscaler modules. + +We encourage you to [download the release](https://flink.apache.org/downloads.html) and share your experience with the +community through the Flink [mailing lists](https://flink.apache.org/community.html#mailing-lists) or +[JIRA](https://issues.apache.org/jira/browse/flink)! We're looking forward to your feedback! + +## Highlights + +### Flink 2.0 Preview Support + +The Flink Kubernetes Operator and Autoscaler 1.11.0 brings support for Flink 2.0 preview version. +This should help users to try out and verify the latest features in Flink planned for the 2.0 release. + +```yaml +apiVersion: flink.apache.org/v1beta1 +kind: FlinkDeployment +metadata: + name: basic-example +spec: + image: flink:2.0 + flinkVersion: v2_0 +... +``` + +Make sure to update the operator CRD to be able to deploy Flink 2.0 pipelines. + +***The support for Flink 2.0 in the operator and autoscaler is also in a preview state +and will be finalized after the official Flink 2.0.0 release*** + +### Flink Operator Core + +#### More flexible Flink version based configs + +Default configs can now be defined for multiple versions at the same time using the following syntax: +```properties +# Set config for Flink 1.18 and larger +kubernetes.operator.default-configuration.flink-version.v1_18+.key: value +``` + +#### Extended lifecycle states + +Two new lifecycle states (`DELETING` and `DELETED`) have been added to ensure that the operator correctly tracks the entire +lifecycle of applications. + +This is especially useful when implementing a custom resource listener. + +#### Bug fixes for batch applications + +The version contains a number of important fixes for managing batch applications to avoid some annoying errors. + +### Autoscaler improvements + +The autoscaler module received a number of important tweaks, improvements and bugfixes. + +Most notably: + - More robust scale down logic to reduce fluctuations [FLINK-36535](https://issues.apache.org/jira/browse/FLINK-36535) + - `autoscalerResetNonce` in Kubernetes JobSpec allows easy reset of the autoscaler state and parallelism overrides + - Publish metrics during stabilization period to reduce metric gaps Review Comment: very good point, let me add that -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: issues-unsubscr...@flink.apache.org For queries about this service, please contact Infrastructure at: us...@infra.apache.org
