GCP Release Notes: September 10, 2025

Application Integration

Changed

Connected app requires installation for OAuth 2.0 authentication in Salesforce trigger

To configure a Salesforce trigger that uses OAuth 2.0 authentication, you must install the relevant connected app in your Salesforce account.

For more information, see Install the OAuth connected app.

BigQuery

Feature

You can load files from Cloud Storage in BigQuery data preparations. This feature is in Preview.

Cloud Run

Feature

You can deploy and configure a multi-region service from a single gcloud CLI command or by using a YAML or Terraform file (GA).

Feature

Cloud Run Threat Detection is available in General Availability.

Cloud Service Mesh

Announcement

1.26.4-asm.1 in-cluster Cloud Service Mesh already includes the fixes for these CVEs.

Announcement

1.25.4-asm.0 is now available for in-cluster Cloud Service Mesh.

You can now download 1.25.4-asm.0 for in-cluster Cloud Service Mesh. It includes the features of Istio 1.25.4 subject to the list of supported features. Cloud Service Mesh version 1.25.4-asm.0 uses envoy v1.33.8-dev.

For details on upgrading Cloud Service Mesh, see Upgrade Cloud Service Mesh.

Announcement

1.24.6-asm.12 is now available for in-cluster Cloud Service Mesh.

You can now download 1.24.6-asm.12 for in-cluster Cloud Service Mesh. It includes the features of Istio 1.24.6 subject to the list of supported features. Cloud Service Mesh version 1.24.6-asm.12 uses envoy v1.33.8-dev.

For details on upgrading Cloud Service Mesh, see Upgrade Cloud Service Mesh.

Fixed

These patches address the following CVEs:

CVE	Proxy	Control Plane	CNI	Distroless
CVE-2025-32990	Yes	Yes	Yes	–
CVE-2025-32988	Yes	Yes	Yes	–
CVE-2025-40909	Yes	Yes	Yes	–
CVE-2025-32989	Yes	Yes	Yes	–
CVE-2025-47268	Yes	Yes	Yes	–
CVE-2025-5702	Yes	Yes	Yes	–
CVE-2025-6395	Yes	Yes	Yes	–
CVE-2025-48964	Yes	Yes	Yes	–

Compute Engine

Feature

Generally available: The accelerator-optimized A4X machine type, the first GPU VM to run on Arm, is available on Compute Engine. The A4X machine series has the NVIDIA GB200 Grace Blackwell Superchips attached and runs on the NVIDIA GB200 NVL72 platform. Use this machine type to run your large artificial intelligence (AI) models, machine learning (ML), and high performance computing (HPC) workloads. The A4X machine type is currently available in the us-central1-a zone.

Gemini Code Assist

Feature

Deploy apps to Cloud Run in Gemini Code Assist agent mode (Preview)

Leverage the power of Gemini CLI extensions in VS Code Gemini Code Assist agent mode with the /deploy custom slash command. The /deploy command lets you deploy your existing web application to Cloud Run directly from agent mode. /deploy takes care of what used to be a multi-step process of building, containerizing, pushing, and configuring, and then returns a public URL for your live application.

To get started using the /deploy command, create a web application in your workspace, install the Cloud Run MCP server, turn on agent mode, and then type /deploy. Your app is deployed in minutes and accessible through a public URL. For more information, see Use commands.

Generative AI on Vertex AI

Feature

Vertex AI Agent Engine

Agent Engine now supports the following features:

• Agent Engine Code Execution, now in Preview, lets your agent run code in an isolated sandbox environment. For more information, see Code Execution.

• You can now develop, deploy, and use agents that support the Agent-to-Agent (A2A) protocol on Agent Engine. For more information, see Develop an Agent2Agent agent.

• Agent Engine now supports bidirectional streaming. For more information, see Bidirectional streaming.

• The Agent Engine page in the Cloud Console UI now has a new Memory Bank tab for displaying and managing memories.

Breaking

Vertex AI Agent Engine

In version v1.112.0 of the Vertex AI SDK for Python, the agent_engines module has been refactored to a client-based design. For information about updating your existing code to the new design, see the Migration guide.

Looker

Announcement

Looker 25.16 is expected to include the following changes, features, and fixes:

• Expected Looker (original) deployment start: Monday, September 15, 2025

• Expected Looker (original) final deployment and download available: Thursday, September 25, 2025

• Expected Looker (Google Cloud core) deployment start: Monday, September 15, 2025

• Expected Looker (Google Cloud core) final deployment: Monday, September 29, 2025

Breaking

Looker no longer supports connections to Firebolt.

Feature

Suggest queries now respect the concurrency limit in the connection configuration.

Feature

The Spanner JDBC Driver has been updated to version 2.32.1. This driver is used for connections to Google Spanner.

Feature

The Looker-Excel Connector is now generally available. When your Looker admin enables the Looker-Excel Connector on the BI Connections admin page, Looker Explores display the Open in Excel option in the Explore gear menu. This option downloads the Explore results to a Windows PC in a format that Microsoft Excel recognizes.

Fixed

Looker 25.16 contains the following accessibility improvements:

• Improved keyboard navigation for embed folders.

• Added ARIA labels to filter drop-down menu items.

• Added ARIA labels to schedule options.

• Added focus rings to navigation links.

• Improved VoiceOver support for filter navigation.

• Added the ability for users to close modals by using the Esc key. Users will be prevented from closing modals this way if there are unsaved changes in the modal.

Fixed

When you upload a p12 file to a database connection, Looker now checks that it is a valid file before completing the upload.

Fixed

An issue has been fixed where adding multiple filters to the same field could cause filter conditions to overwrite each other. This feature now performs as expected.

Fixed

An issue has been fixed where changing the size of a visualization could cause the visualization to flicker. This feature now performs as expected.

Fixed

An issue has been fixed where users could enter color codes that were longer than six characters when they were updating custom color collections. This feature now performs as expected.

Fixed

An issue has been fixed where Explore drill links would not open correctly if cookieless embed was enabled. This feature now performs as expected.

Fixed

An issue has been fixed where generating a view inside a folder could fail if the folder’s name contained special characters. This feature now performs as expected.

Fixed

An issue has been fixed where generating an embed URL from a LookML dashboard could fail with the following error: 'models' param cannot be converted to an array of String. This feature now performs as expected.

Fixed

An issue has been fixed where loading JavaScript files for custom visualizations could take more than one second. This feature now performs as expected.

Fixed

An issue has been fixed where non-admin users were unable to select a project when they added a connection. This feature now performs as expected.

Fixed

An issue has been fixed where scheduled deliveries could fail with the following error message: Async delivery failed due to errors Internal server error. [Google Cloud Storage] undefined. This feature now performs as expected.

Fixed

An issue has been fixed where subtotal rows could fail to appear in downloaded result sets. This feature now performs as expected.

Fixed

An issue has been fixed where the OAuth client secret could not be updated in the Connections page. This feature now performs as expected.

Fixed

An issue has been fixed where total references and row total references in table calculations could return the following error if there was no data: Field either does not exist in the current query or is a measure. This feature now performs as expected.

Fixed

An issue has been fixed where updating a Spanner connection could fail to save changes. This feature now performs as expected.

Fixed

An issue has been fixed where users with only the embed_browse_spaces permission could be incorrectly classified as Standard users instead of Viewer users. This feature now performs as expected.

Fixed

An issue has been fixed where using the matches_filter function in custom filters could return an error. This feature now performs as expected.

Fixed

An issue has been fixed where visualizations could render twice when they were first loaded on an Explore or a dashboard. This feature now performs as expected.

Fixed

The Athena JDBC driver version has been downgraded from 2.2.1 to 2.1.5 to fix an issue with result set streaming. This feature now performs as expected. The Athena JDBC driver is used for connections to Amazon Athena.

Fixed

Dashboards that are not configured to run on load no longer show past query results when you revisit the dashboard in the same browser session. You must click the Load button to run the queries again.

Fixed

An issue has been fixed where the Collapse subtotal toggle on table visualizations was unresponsive. This feature now performs as expected.

Fixed

An issue has been fixed where updating a customer-hosted instance could fail with the following error message: Data import is in progress and some features will not be available. This feature now performs as expected.

Fixed

An issue has been fixed where SQL Runner could fail to return new results after running a second query. This feature now performs as expected.

Feature

A new Labs feature, Favoriting LookML Dashboards, enables LookML dashboards to be marked as favorites causing the LookML dashboards to appear on the Looker Favorites tab.

Feature

The Full Screen Visualizations Labs feature is now generally available. You can turn it on and off on the Admin – General page.

Fixed

An issue has been fixed where updating the Host URL in the Admin – Settings page could fail to be saved. This feature now performs as expected.

Fixed

An issue has been fixed where visualization templates could be edited by API users without the need for the explore permission.

Feature

Looker (Google Cloud core) 90-day trial instances are now available.

Feature

The Full Screen Visualizations feature is now generally available. You can turn it on and off on the Admin – General page.

Oracle Database@Google Cloud

Feature

For Autonomous Database Service, Oracle Database@Google Cloud supports region northamerica-northeast1 (Montréal, Québec, Canada, North America).

For a full list of supported locations, see Regional availability

Resource Manager

Feature

Designate project environments with tags: You can now use tags to visually distinguish projects based on their environment—such as production, staging, or development—directly within the Google Cloud console. This new visual indicator helps prevent errors and improves awareness when you’re working in sensitive environments. For information, see Designate project environments with tags.

Secure Source Manager

Announcement

Secure Source Manager is compliant with the Health Insurance Portability and Accountability Act (HIPAA), and is also FedRAMP High compliant.

Security Command Center

Feature

Cloud Run Threat Detection is available in General Availability.

Vertex AI

Feature

Vertex AI Agent Engine

Agent Engine now supports the following features:

• Agent Engine Code Execution, now in Preview, lets your agent run code in an isolated sandbox environment. For more information, see Code Execution.

• You can now develop, deploy, and use agents that support the Agent-to-Agent (A2A) protocol on Agent Engine. For more information, see Develop an Agent2Agent agent.

• Agent Engine now supports bidirectional streaming. For more information, see Bidirectional streaming.

• The Agent Engine page in the Cloud Console UI now has a new Memory Bank tab for displaying and managing memories.

Breaking

Vertex AI Agent Engine

In version v1.112.0 of the Vertex AI SDK for Python, the agent_engines module has been refactored to a client-based design. For information about updating your existing code to the new design, see the Migration guide.

Source: Google Cloud Platform