Google Cloud Release Notes
Mar 28, 2025
Dataproc Serverless for Spark: All Dataproc serverless for spark runtimes now support hadoop native libraries by default.
Fixed an issue that caused cluster creation to fail because kubelet restarted before required static pods are running.
In version 1.32.1-gke.1729000 and later, you can customize specific kubelet and Linux kernel parameters like sysctls and huge pages by using the nodeSystemConfig field in your GKE compute classes. Additionally, you can now specify default values for fields that are omitted in individual rules in a compute class by using the priorityDefaults field. For details, see About custom compute classes.
You can now see what files are used by IntelliJ Gemini Code Assist chat and can customize the context as needed.
You can now see what files are used by IntelliJ Gemini Code Assist chat and can customize the context as needed.
Updated the cluster upgrade operation to keep only the three latest kubeadm backups of etcd and configuration information for a node. Previously, kubeadm kept node backups for every attempted upgrade.
Google Distributed Cloud (software only) for VMware 1.29.1200-gke.99 is now available for download. To upgrade, see Upgrade a cluster or a node pool. Google Distributed Cloud 1.29.1200-gke.99 runs on Kubernetes v1.29.13-gke.500. This is the final patch for the 1.29 minor release.
If you are using a third-party storage vendor, check the GDC Ready storage partners document to make sure the storage vendor has already passed the qualification for this release.
After a release, it takes approximately 7 to 14 days for the version to become available for use with GKE On-Prem API clients: the Google Cloud console, the gcloud CLI, and Terraform.
The ability to disable the Invoker IAM check for Cloud Run services is now at general availability (GA).
Local codebase awareness is now available for IntelliJ Gemini Code Assist. You can now include files from your local IDE project in the prompt context by typing @ in the chat prompt box.