GCP Release Notes: November 17, 2025

GCP Release Notes: November 17, 2025

Apigee Analytics

Announcement

On November 17, 2025 we released an updated version of Apigee Analytics.

Feature

Support for aggregate data in Error Code Analysis, Cache Performance, and Target Performance charts

Announcing support for viewing aggregate data in the Error Code Analysis, Cache Performance, and Target Performance Analytics dashboards.

For information on the Analytics dashboards, see Use the Analytics dashboards.

Apigee UI

Announcement

On November 17, 2025 we released an updated version of Apigee Analytics.

Feature

Support for aggregate data in Error Code Analysis, Cache Performance, and Target Performance charts

Announcing support for viewing aggregate data in the Error Code Analysis, Cache Performance, and Target Performance Analytics dashboards.

For information on the Analytics dashboards, see Use the Analytics dashboards.

Apigee X

Announcement

On November 17, 2025, we released an updated version of Apigee (1-16-0-apigee-5).

Feature

Secure and validate documents using WS-Security with X.509 certificates

You can now secure and validate SOAP documents using WS-Security with X.509 certificates using crypto object methods. See Secure SOAP documents using WS-Security with X.509 certificates and Validate SOAP documents using WS-Security with X.509 certificates.

Fixed

Bug ID Description
N/A Updates to security, infrastructure, and libraries.

Security

Bug ID Description
454672970 Added strict input validation to the SetIntegrationRequest policy

BigQuery

Feature

In the query execution graph, you can now use the query text heatmap to identify which query text contributes to stages that consume more slot time, and to see query plan details for those stages. This feature is in Preview.

Feature

You can use folders to organize and control access to single file code assets, such as notebooks, saved queries, data canvases, and data preparation files. This feature is in Preview.

Feature

You can now share SQL stored procedures in BigQuery sharing listings and enable role-based authorization for stored procedures. These features are in preview.

Cloud NGFW

Feature

You can create a Remote Direct Memory Access (RDMA) over converged ethernet (RoCE) Virtual Private Cloud (VPC) network and configure firewall rules that apply to the network. For more information, see Cloud NGFW for RoCE VPC networks. This feature is available in General Availability.

Cloud Run

Feature

Cloud Run and Cloud Run functions source deployments support pyproject.toml file for managing dependencies. If you use a pyproject.toml file, source deployments use one of the following to find and install dependencies:

  • pip
  • uv
  • poetry

For more information, see Deploy Python applications with a pyproject.toml file (Preview).

Cloud SQL for MySQL

Feature

Cloud SQL now offers a free trial instance for both existing and new Google Cloud customers. A free trial instance lets you test advanced Cloud SQL capabilities and features for up to 30 days without any financial commitment.

For information about a free trial instance, and its inclusions and conditions, see Free trial instance overview.

Dataplex

Feature

Previously, data profile scan results were published only to the Google Cloud console. You can now publish the results of a data profile scan as Dataplex Universal Catalog metadata. The latest results are saved to the entry that represents the source table. You can view the results in the Google Cloud console.

If you want to enable catalog publishing for an existing data profile scan, you must edit the scan and re-enable the publishing option.

For more information, see Use data profiling.

This feature is generally available (GA).

Datastream

Feature

Datastream now supports partitioning and clustering for BigQuery destinations. For more information, see the documentation.

Generative AI on Vertex AI

Feature

Veo video generation

Veo 3.1 is Generally Available, and introduces the following models:

For more information, see the following:

Google Cloud Contact Center as a Service

Announcement

Advanced reporting dashboards version 3.41

We’ve released version 3.41 of the advanced reporting dashboards.

Fixed

We addressed the following issues in this release:

  • Fixed an issue where the Chat Agent Metrics (Historical) explore and the Agent Metrics (Historical) explore returned different data for chats handled. This resulted in inconsistent chat handling metrics in dashboards.
  • Fixed an issue where ambiguous metrics names appeared in the Call Queue Metrics (Historical) explore.
  • Fixed an issue where the average active concurrency metric appeared as a total instead of a percentage.
  • Fixed an issue where the CSAT values on the CSAT and Agent Performance dashboards were not consistent with each other.
  • Changed the Caller ANI table heading to Consumer phone number in all of the tables it appeared in.
  • Fixed an issue where Call ID on the Calls Transfer dashboard was not correctly formatted.
  • Fixed an issue where the column headings in the Agent Productivity table of the Agent Performance dashboard were ordered incorrectly.
  • Fixed an issue on the Dispositions – Chat dashboard where the Disposition Codes filter wasn’t working correctly.
  • Fixed an issue on the Dispositions – Chat dashboard where the Disposition Code filter was unable to find existing disposition codes.
  • Fixed an issue on the Dispositions – Chat dashboard where the Direction filter didn’t display the available values.
  • Fixed an issue on the Dispositions – Chat dashboard where the Agent Name filter wasn’t working correctly.
  • Fixed an issue on the Dispositions – Chat dashboard where the Disposition Distribution tile displayed the disposition codes in the wrong order.
  • Fixed an issue on the Dispositions – Calls dashboard where the Disposition Code filter didn’t find existing disposition lists.
  • Fixed an issue on the Dispositions – Calls dashboard where agents didn’t appear in the Dispositions by Agent table when filtering by Agent ID.
  • Fixed an issue where dismissed chat time was being included with current chat time metrics on the Agent Monitoring dashboard.

Feature

Campaigns dashboard

We’ve added a new Campaigns dashboard that displays real-time and historical performance metrics for call campaigns, including call outcomes, campaign volumes, and agent metrics. Managers can use this information to monitor call campaigns and make data-driven decisions to improve campaign performance. For more information, see Campaigns dashboard.

Feature

All Interactions dashboards: updates to tables

On the All Interactions – Calls dashboard, we did the following:

  • Renamed the All Call Interactions (Historical) table to Call Metrics Detail.
  • Updated the formatting of the column headings in the Virtual Agent Interactions table.

On the All Interactions – Chats dashboard, we renamed the All Chat Interactions (Historical) table to Chat Metric Detail.

For more information, see All interactions dashboards.

Feature

Real-time dashboard optimization

We’ve optimized real-time dashboards to provide faster loading and refresh times.

Google Kubernetes Engine

Feature

NVIDIA recommends that Kubernetes clusters enable Coherent Driver-Based Memory Management (CDMM) to resolve memory over-reporting. CDMM is enabled by default on A4X nodes running the R580 GPU driver in GKE clusters with the following versions:

  • 1.33 or later: 1.33.4-gke.1036000 or later
  • 1.32: 1.32.8-gke.1108000 or later

CDMM allows GPU memory to be managed through the driver instead of the operating system (OS), avoiding OS onlining of GPU memory, and exposing the GPU memory as a Non-Uniform Memory Access (NUMA) node to the OS.

For more information about CDMM, see Hardware and Software Support. To create GKE clusters with A4X, see the following documents:

Looker

Feature

The new content certification feature, when enabled, lets trusted users certify Looker dashboards, Looks, and self-service Explores to indicate that the content has gone through a manual review and is certified as reliable and trustworthy. This lets other users identify reliable content and confidently use that data for decision-making.

Memorystore for Valkey

Feature

The /node/server/healthy metric is Generally Available.

Migrate to Virtual Machines

Feature

You can now use Hyperdisk Storage Pools with migrating VMs if you need large-scale storage. Hyperdisk Storage Pools help you manage large-scale storage and can optimize costs and performance.

Security Command Center

Feature

The following AI Protection features are available:

  • AI Security dashboard: The dashboard has an updated AI Inventory section, which includes an overview of AI agents.
  • Assets page: You can filter for AI resources, including AI agents that are deployed to Vertex AI Agent Engine.

AI Protection is available in Preview to the Security Command Center Enterprise tier.

Feature

Agent Engine Threat Detection, a built-in service of Security Command Center, is available in Preview to the Security Command Center Enterprise and Premium tiers. This service helps you detect and investigate potential attacks on AI agents that are deployed to Vertex AI Agent Engine Runtime.

Service Extensions

Feature

For authorization extensions, in addition to the ext_proc Envoy gRPC API, the ext_authz gRPC API is also supported. This capability allows seamless integration with the broader authorization ecosystem. This feature is in Preview.

Source: Google Cloud Platform

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