GCP Release Notes: December 29, 2025

GCP Release Notes: December 29, 2025

Apigee X

Announcement

On December 29th, 2025, we released an updated version of Apigee.

Feature

The Apigee Extension Processor provisioning API is available

Apigee Extension Processor customers can now use the Extension Processor provisioning API to create traffic extensions. For more information, see Get started with the Apigee Extension Processor

Google Kubernetes Engine

Announcement

Kubernetes 1.35 is now available in the Rapid channel

Kubernetes 1.35 is now available in the Rapid channel. For more information about the content of Kubernetes 1.35, read the Kubernetes 1.35 Release Notes and Kubernetes 1.35 Release Blog.

Deprecated

Deprecated in 1.35

  • The PreferClose value for a Kubernetes Service’s trafficDistribution field is now deprecated in favor of the more explicit PreferSameZone.

Removed in 1.35

  • Kubernetes has deprecated cgroup v1 support.
  • GKE is removing cgroup v1 support in 1.35. If you have specifically configured your node pools to use cgroup v1 then upgrades will be blocked until you configure cgroup v2. To migrate to cgroup v2, see Migrate to cgroup v2.

Change

Other changes in 1.35

  • Windows containerd 2.1: GKE Windows nodes will use containerd 2.1 in 1.35, upgraded from containerd 1.7 in GKE 1.34. Clusters containing Windows nodes will have auto-upgrades to 1.35 delayed until 1.34 EOL due to possible compatibility issues introduced in containerd 2.0. Check if you’re using deprecated containerd features removed in 2.0 and migrate off of them, see Migrate nodes to containerd 2. After all deprecated features are removed, manually upgrade your cluster to 1.35.

Feature

New features in 1.35

  • In-place Pod Resize: In-place Pod Resize is now GA. This feature allows Pod CPU and memory requests and limits to be modified in-place without Pod or container restart.
  • Writable cgroups: GKE Writable cgroups for containers is now GA. This feature allows workloads to manage resources for child processes using the Linux cgroups API, improving reliability for applications like Ray.

Source: Google Cloud Platform

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