GCP Release Notes: April 02, 2026

AlloyDB for PostgreSQL

Change

You can now enable Advanced Query Insights on primary clusters which have secondary clusters configured. Advanced Query Insights is not supported on secondary clusters. If you perform a switchover, you must re-enable Advanced Query Insights on the new primary cluster.

BigQuery

Feature

You can now use the CREATE CONNECTION, ALTER CONNECTION SET OPTIONS, and DROP CONNECTION data definition language (DDL) statements to manage Cloud resource connections with GoogleSQL. Additionally, you can now use the connection user type and PROJECT resource type with GRANT and REVOKE data control language (DCL) statements to manage connection and project access. These features are generally available (GA).

Feature

The BigQuery Migration Service supports SQL translations from Snowflake SQL to GoogleSQL. This feature is now generally available (GA).

With this change, the translation service supports a wider variety of Snowflake SQL and has improved support for several data types. Among other changes, the translation service maps Snowflake INTEGER and zero-scale NUMERIC types up to precision 38 to INT64 type in GoogleSQL for improved performance by default.

Feature

You can set the column granularity when you create a search index, which stores additional column information in your search index to further optimize your search query performance. This feature is generally available (GA).

Cloud Logging

Feature

The filter capabilities for log views have been extended to include support for disjunctive clauses, negation statements, and labels. To learn more, see Filters for log views.

Cloud Monitoring

Feature

Application Monitoring has added support for the following resources:

• Vertex AI Workbench
• GKE Gateway
• GKE Ingress
• Layer 7 cross-regional Application Load Balancers

Additionally, dashboards for Kubernetes workloads display L4 and L7 traffic metrics, when both are available. For more information, see Application Monitoring supported infrastructure.

Cloud SQL for SQL Server

Feature

Cloud SQL for SQL server read pools are now generally available and provide operational simplicity and scaling for your read workloads.

Read pools provide a single endpoint in front of up to seven read pool nodes and automatically load balance traffic.

You can scale your read pool in several ways:

• Scale in or out: scale load balancing capacity horizontally by modifying the number of read pool nodes in the read pool. Each read pool supports between 1 and 7 read pool nodes.

• Scale up or down: scale load balancing capacity vertically by modifying the machine type associated with a read pool node. Once defined, configuration is uniformly applied across each read pool node in the read pool.

For more information, see About read pools.

Cloud Service Mesh

Announcement

Managed Cloud Service Mesh using the TRAFFIC_DIRECTOR implementation now supports a limited implementation of the EnvoyFilter API. To learn about the supported fields, extensions, and how to use EnvoyFilter for features like local rate limiting see Data plane extensibility with EnvoyFilter.

To troubleshoot any issue while configuring, see Resolving data plane extensibility issues.

Cloud Storage

Feature

You can configure which encryption types are allowed or prohibited for creating new objects in a bucket. For more information, see Enforce or restrict the encryption types for a bucket.

Compute Engine

Feature

Preview: To control the use of the deprecated container startup agent, an option for deploying containers on Compute Engine instances, you can enforce the constraints/compute.managed.disableVmsWithContainerStartupAgent organization policy constraint. This constraint prevents the creation of Compute Engine instances that use the container startup agent and the gce-container-declaration metadata.

You can also enforce this organization policy in dry-run mode to identify projects that use the deprecated metadata, without blocking resource creation.

For more information, see Prevent the creation of VMs that use the container metadata and Migrate containers deployed on VMs during VM creation.

Dataform

Feature

The Dataform folders and repositories feature is now generally available (GA). This feature lets you organize code assets like notebooks and saved queries into a hierarchical structure with IAM policy inheritance. This release also introduces deleteTree API methods for deleting folders and team folders.

Dataproc

Announcement

New Dataproc on Compute Engine subminor image versions:

• 2.3.28-debian12, 2.3.28-ml-ubuntu22, 2.3.28-rocky9, 2.3.28-ubuntu22, 2.3.28-ubuntu22-arm

Fixed

• Upgraded Dataproc Metastore Proxy to v0.0.79 to fix CVEs.
• Fixed CVEs CVE-2026-24308 and CVE-2026-24281.

Change

• Dataproc on Compute Engine: Upgraded Apache Zookeeper to version 3.9.5 in image version 2.3.

Gemini Enterprise

Feature

NotebookLM Enterprise: Autocomplete for email addresses and group names when sharing notebooks

When sharing notebooks with users and groups, autocomplete is available to help users quickly select the correct email addresses and group names.

If your organization uses the Google Identity Provider, no action is required. If your organization uses Third-party identity and Microsoft Entra ID, a Gemini Enterprise administrator must provision a System for Cross-domain Identity Management (SCIM) tenant for Workforce Identity Federation to enable autocomplete. For more information about identity setup, see Set up NotebookLM Enterprise.

This feature is generally available (GA). For more information, see Share a notebook.

Generative AI on Vertex AI

Feature

Veo 3.1 Lite

Veo 3.1 Lite is available in public preview. This release is our most cost-efficient Veo on Vertex AI model.

For more information, see 3.1 Lite Generate

Google Cloud Contact Center as a Service

Announcement

Mobile SDK version 2.15.2 patch

This patch updates the following for the Android SDK:

• Updates minSdkVersion to 25.

• Upgrades the following dependencies:

  • Twilio Conversations to 6.2.1

  • Twilio Voice to 6.10.2

Google SecOps

Feature

Chrome Enterprise Premium Integration general availability

The Chrome Enterprise Premium integration is now GA. This release includes the following new features and updates:

• New Chrome Enterprise Connector which configures recommended data export settings and sends data through Google Cloud to Google Security Operations. Chrome Enterprise Premium customers can export data with additional security context provided by Google Safe Browsing.

• Updates to the CHROME_MANAGEMENT parser documentation in Collect Chrome Enterprise data and Chrome Enterprise Premium Threats.

• Curated Detections for Chrome Enterprise Premium.

• Curated Dashboards for Chrome Enterprise Premium.

• Response actions to block and remove malicious extensions or to delete blocked extensions from the extension policy ExtensionInstallBlocklist.

Source: Google Cloud Platform