GCP Release Notes: March 03, 2026

AlloyDB for PostgreSQL

Feature

The following AlloyDB AI features are now generally available (GA):

• Auto vector embeddings provide a scalable, automated solution for managing the lifecycle of vector embeddings for large-scale datasets, eliminating the need for manual reindexing or custom scripts. This feature keeps embeddings in sync with transactional data and now supports incremental refresh in manual mode, ensuring that embeddings are only generated for new or updated rows. Additionally, you can perform incremental table refreshes or migration up to 100x faster than traditional row-by-row processing using bulk mode, improving efficiency for semantic search and Retrieval Augmented Generation (RAG).

• AI functions integrate LLMs like Gemini to bring ‘world knowledge’ to your AlloyDB data and incorporate advanced semantic search and ranking capabilities directly into your SQL workflows. This feature includes out-of-the-box functions for filtering (ai.if), semantic ranking (ai.rank), generation (ai.generate), and forecasting (ai.forecast).

• Experience higher performance in AlloyDB AI by utilizing array-based AI functions. You can perform batch processing of natural language prompts directly within your SQL queries, significantly improving efficiency for large-scale AI operations. For more information, see Perform intelligent SQL queries using AI functions.

App Engine flexible environment Ruby

Feature

Support for Ruby 4.0 runtime is in Preview.

App Engine standard environment Ruby

Feature

Support for Ruby 4.0 runtime is in Preview.

Cloud Build

Fixed

The authorization vulnerability CVE-2026-3136 was fixed.

Cloud Run

Feature

Support for Ruby 4.0 runtime is in Preview.

Cloud Run functions

Feature

Support for Ruby 4.0 runtime is in Preview.

Document AI

Feature

Custom classifier model pretrained-classifier-v1.5-2025-08-05 is available as General Availability (GA).

For more information about available models, see the custom classifier page.

Gemini Enterprise

Feature

Gemini Enterprise: Use Veo 3.1 for video generation

Use Veo 3.1 to generate videos in the Gemini Enterprise web app. Veo 3.1 is replacing Veo 3.0 for video generation. For more information, see Generate a video.

To use this feature, a Gemini Enterprise administrator must turn on Enable video generation setting. For more information about feature controls, see Manage features on the web app.

Feature

Gemini Enterprise: Export assistant responses to Google Docs and Google Sheets

You can export chat responses from the assistant to Google Docs. You can also export tabular and CSV data from a response to Google Sheets.

For more information, see Export to Google Docs and Google Sheets.

Generative AI on Vertex AI

Deprecated

Video generation preview endpoints deprecation

The following table describes video generation endpoints that are deprecated and their replacements. We recommend updating your model endpoints before April 2, 2026, to avoid service disruption.

Discontinued endpoints	Recommended endpoint migration
veo-3.0-generate-preview	veo-3.0-generate-001
veo-3.0-fast-generate-preview	veo-3.0-fast-generate-preview
veo-2.0-generate-preview	veo-2.0-generate-001
veo-2.0-generate-exp	veo-2.0-generate-001
veo-001-preview-0815	veo-2.0-generate-001
veo-001-preview	veo-2.0-generate-001
veo-3.1-generate-preview	veo-3.1-generate-001
veo-3.1-fast-generate-preview	veo-3.1-fast-generate-001

Feature

Gemini 3.1 Flash-Lite

Gemini 3.1 Flash-Lite (gemini-3.1-flash-lite-preview) is available in public preview. This release is our most cost-efficient Gemini model and is optimized for low latency use cases for high-volume, cost-sensitive LLM traffic.

For more information, see Gemini 3.1 Flash-Lite.

Google Cloud Managed Service for Apache Kafka

Feature

You can now use the Managed Service for Apache Kafka remote MCP server to enable LLM agents to create and manage your Kafka clusters and Kafka Connect clusters, as well as create and manage related resources such as topics, consumer groups, connectors, and ACLs.

This feature is in Preview.

Google Distributed Cloud (software only) for VMware

Announcement

Google Distributed Cloud (software only) for VMware 1.33.500-gke.63 is now available for download. To upgrade, see Upgrade clusters. Google Distributed Cloud 1.33.500-gke.63 runs on Kubernetes v1.33.5-gke.2200.

If you are using a third-party storage vendor, check the Google Distributed Cloud-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.

Announcement

Google Distributed Cloud (software only) for VMware V2 (Advanced Clusters) versions 1.31 and earlier were missing a configuration step in the node startup script that defined the Docker default bridge IP range. As a result, Docker defaulted to using the 172.17.0.0/16 (and in some cases 172.16.0.0/16) address range.

If this default range overlaps with customer network infrastructure, connectivity failures during cluster creation or operation can occur.

This issue has been resolved. The Docker default bridge IP for cluster nodes in advanced clusters is now explicitly set to 169.254.123.1/24.

Google Distributed Cloud (software only) for bare metal

Announcement

In Google Distributed Cloud (software only) for bare metal versions 1.33.0 and later, bmctl operations can fail to stream logs from pods to the local workspace, causing empty or incomplete logs in bmctl-workspace/{CLUSTER NAME}/log directory.

This issue occurred because a recent Kubernetes library upgrade introduced a required context parameter for pod log streaming. The bmctl tool was incorrectly passing a context with a 10-second timeout, causing the log streamer to terminate prematurely for pods with long lifecycles, such as Ansible runner jobs.

This issue is resolved in the following versions:

• 1.33.500 and later
• 1.34.100 and later
• 1.35.0 and later

If you use an affected version and require the logs for a failed or ongoing operation, check logs using kubectl. If the cluster is accessible, you can manually retrieve logs directly from the relevant pods using the kubectl logs command.

It is recommended to upgrade to a fixed version to ensure that all bmctl operation logs are correctly captured in your local workspace for troubleshooting and auditing purposes

Announcement

Google Distributed Cloud (software only) for bare metal 1.33.500-gke.63 is now available for download. To upgrade, see Upgrade clusters. Google Distributed Cloud for bare metal 1.33.500-gke.63 runs on Kubernetes v1.33.5-gke.2200.

After a release, it takes approximately 7 to 14 days for the version to become available for installations or upgrades with the GKE On-Prem API clients: the Google Cloud console, the gcloud CLI, and Terraform.

If you use a third-party storage vendor, check the Google Distributed Cloud-ready storage partners document to make sure the storage vendor has already passed the qualification for this release of Google Distributed Cloud for bare metal.

Guest Environment

Feature

Version 20260228.00 of the guest agent is now available for Debian 11, AlmaLinux 8, CentOS Stream 8, Oracle Linux 8, Red Hat Enterprise Linux 8, and Rock Linux 8. To review the features and fixes included in version 20260228.00 of the guest agent, see the March 2, 2026 release notes.

Source: Google Cloud Platform