GCP Release Note: July 11, 2025

Agent Assist

Changed

Google Cloud provides quotas for using Agent Assist APIs. Each feature uses specific APIs, which have their own quotas.

Backup and DR

Announcement

We’re excited to announce the launch of Editable Backup Plans, a new feature designed to give you more flexibility and control over your data protection strategy. You can now modify your existing backup plans directly, eliminating the need to create new plans and reassign them when your requirements change. This makes it easier than ever to adapt to evolving business needs, optimize for cost, and correct configuration errors on the fly.

What’s new:

• Directly Edit Key Settings: You can now change the description, schedule, backup window, and retention periods of your existing backup plans. You can also add or remove backup rules as needed.

• Automatic Updates: Once a plan is edited, the changes are automatically applied to all resources protected by that plan for all future backups. There’s no need to manually detach and reattach the plan.

• Backward Compatibility: This new capability is available for all backup plans, including those created before this update.

Important Note: While most settings in a backup plan are now editable, the assigned backup vault cannot be changed. To store backups in a different vault, a new backup plan must be created.

Cloud Asset Inventory

Feature

The following resource types are now publicly available through the ExportAssets, ListAssets, BatchGetAssetsHistory, QueryAssets, and Feed APIs.

• Parameter Manager
  • parametermanager.googleapis.com/Parameter
  • parametermanager.googleapis.com/ParameterVersion

Google Kubernetes Engine

Changed

(2025-R29) Version updates

• The following versions are now available in the Extended channel:
  • 1.28.15-gke.2461000
  • 1.29.15-gke.1614000
  • 1.30.12-gke.1320000
  • 1.31.9-gke.1287000
  • 1.32.4-gke.1767000
  • 1.33.2-gke.1043000
    

    Changed

    (2025-R29) Version updates

    • The following versions are now available:
      • 1.30.12-gke.1340000
      • 1.31.10-gke.1034000
      • 1.32.6-gke.1025000
      • 1.33.2-gke.1240000
    • The following node versions are now available:
      • 1.28.15-gke.2461000
      • 1.29.15-gke.1614000
      • 1.30.12-gke.1340000
      • 1.31.10-gke.1034000
      • 1.32.6-gke.1025000
      • 1.33.2-gke.1240000
        

        Changed

        (2025-R29) Version updates

        • The following versions are now available in the Rapid channel:
          • 1.30.12-gke.1340000
          • 1.31.10-gke.1034000
          • 1.32.6-gke.1025000
          • 1.33.2-gke.1240000
            

            Changed

            (2025-R29) Version updates

            • The following versions are now available in the Regular channel:
              • 1.30.12-gke.1320000
              • 1.31.9-gke.1287000
              • 1.32.4-gke.1767000
              • 1.33.2-gke.1043000
                

                Changed

                (2025-R29) Version updates

                • The following versions are now available in the Stable channel:
                  • 1.30.12-gke.1246000
                  • 1.31.9-gke.1176000
                  • 1.32.4-gke.1603000
                    

                    Changed

                    (2025-R29) Version updates

                    GKE cluster versions have been updated.

                    New versions available for upgrades and new clusters.

                    The following Kubernetes versions are now available for new clusters and for
                    opt-in control plane upgrades and node upgrades for existing clusters. For more
                    information on versioning and upgrades, see GKE versioning and support
                    and Upgrades.

                    Rapid channel

                    • The following versions are now available in the Rapid channel:
                      • 1.30.12-gke.1340000
                      • 1.31.10-gke.1034000
                      • 1.32.6-gke.1025000
                      • 1.33.2-gke.1240000

                    Regular channel

                    • The following versions are now available in the Regular channel:
                      • 1.30.12-gke.1320000
                      • 1.31.9-gke.1287000
                      • 1.32.4-gke.1767000
                      • 1.33.2-gke.1043000

                    Stable channel

                    • The following versions are now available in the Stable channel:
                      • 1.30.12-gke.1246000
                      • 1.31.9-gke.1176000
                      • 1.32.4-gke.1603000

                    Extended channel

                    • The following versions are now available in the Extended channel:
                      • 1.28.15-gke.2461000
                      • 1.29.15-gke.1614000
                      • 1.30.12-gke.1320000
                      • 1.31.9-gke.1287000
                      • 1.32.4-gke.1767000
                      • 1.33.2-gke.1043000

                    No channel

                    • The following versions are now available:
                      • 1.30.12-gke.1340000
                      • 1.31.10-gke.1034000
                      • 1.32.6-gke.1025000
                      • 1.33.2-gke.1240000
                    • The following node versions are now available:
                      • 1.28.15-gke.2461000
                      • 1.29.15-gke.1614000
                      • 1.30.12-gke.1340000
                      • 1.31.10-gke.1034000
                      • 1.32.6-gke.1025000
                      • 1.33.2-gke.1240000

                    Security Command Center

                    Feature

                    Notebook Security Scanner is a built-in package vulnerability detection service of Security Command Center. This feature is available in Preview to the Security Command Center Premium or Enterprise tier.

                    You can enable and use Notebook Security Scanner to detect vulnerabilities in Python packages that are used in Colab Enterprise notebooks (files with the ipynb filename extension) and resolve those package vulnerability findings.

                    Vertex AI

                    Feature

                    To reduce the cost of running your inference jobs, you can now use flex-start VMs, which are powered by Dynamic Workload Scheduler. Flex-start VMs offer significant discounts and are well-suited for
                    short-duration workloads. This feature is available in Preview.

                    For more information, see Use DWS flex-start VMs with inference.

Source: Google Cloud Platform