GCP Release Notes: March 30, 2026

AlloyDB for PostgreSQL

Feature

AlloyDB now offers conversational analytics, which lets users query their operational data using natural language. This feature is powered by the Conversational Analytics API, which can help you translate complex human dialog into precise database queries to provide actionable insights. This feature is in Preview. For more information, see Conversational analytics for AlloyDB overview.

BigQuery

Feature

The following forecasting and anomaly detection functions and updates are generally available (GA):

• The AI.DETECT_ANOMALIES function supports providing a custom context window that determines how many of the most recent data points should be used by the model.

• The AI.FORECAST function supports specifying the latest timestamp value for forecasting.

• The AI.EVALUATE function supports the following:

  • You can provide a custom context window that determines how many of the most recent data points should be used by the model.

  • The function outputs the mean absolute scaled error for the time series.

Feature

You can now create BigQuery non-incremental materialized views over Spanner data to improve query performance by periodically caching results. This feature is generally available (GA).

Bigtable

Feature

You can view the details of Bigtable continuous materialized views in the Google Cloud console.

Cloud Billing

Feature

Scenario modeling for CUD recommendations is generally available

Scenario modeling for committed use discount (CUD) recommendations is now generally available (GA). You can simulate scenarios for both spend-based and resource-based CUDs, and customize recommendations to purchase a commitment that maximizes your savings.

For more information, see Simulate scenarios for CUDs savings.

Cloud Build

Feature

Cloud Build now supports uploading generic artifacts to generic repositories, and also downloading generic repositories as build dependencies. For more information, see genericArtifacts and Specify a generic artifact as a dependency.

Cloud CDN

Feature

For global external Application Load Balancers, you can configure Cloud CDN cache policies at various levels of a URL map, providing more granular control over caching. You can now apply specific caching logic based on hostnames, URL paths, HTTP headers, and query parameters. This feature is in Preview.

For more information, see Cache policies in URL maps.

Cloud Database Migration Service

Feature

Database Migration Service for homogeneous MySQL migrations now lets you migrate individual databases from your source. You can select the databases when you create a migration job for homogeneous MySQL migrations.

Cloud Logging

Change

For any new project that is created on or after March 30, 2026, if the project enables the Cloud Logging API, then Google Cloud Observability also enables the Telemetry API.

Cloud Monitoring

Change

For any new project that is created on or after March 30, 2026, if the project enables the Cloud Monitoring API, Telemetry API.

Cloud SQL for MySQL

Feature

Cloud SQL for MySQL now offers conversational analytics, which lets users query their operational data using natural language. This feature is powered by the Conversational Analytics API, which can help you translate complex human dialog into precise database queries to provide actionable insights. This feature is in Preview. For more information, see Conversational analytics for Cloud SQL for MySQL overview.

Cloud SQL for PostgreSQL

Feature

Cloud SQL for PostgreSQL now offers conversational analytics, which lets users query their operational data using natural language. This feature is powered by the Conversational Analytics API, which can help you translate complex human dialog into precise database queries to provide actionable insights. This feature is in Preview. For more information, see Conversational analytics for Cloud SQL for PostgreSQL overview.

Cloud Trace

Change

For any new project that is created on or after March 30, 2026, if the project enables the Cloud Trace API, then Google Cloud Observability also enables the Telemetry API.

Feature

You can use the Cloud Trace API MCP server to let agents and AI applications interact with your trace data. This feature is in Preview.

Dataplex

Feature

Automated cataloging of Looker (Google Cloud core) metadata as well as data lineage ingestion from BigQuery sources are now available in preview. For more information, see the Looker (Google Cloud core) documentation.

Gemini Enterprise

Feature

Gemini Enterprise: Include cross-domain documents feature for Google Drive (Preview)

When configuring a Google Drive data store, the Include cross-domain documents feature lets you search and index documents outside your organization. Enable this setting during app creation or on the Manage web app features page for existing apps.

This feature is in Public Preview. For more information, see Create an app and Manage web app features.

Guest Environment

Feature

Version 20260329.00 of the guest agent is now available for all supported operating systems. This version introduces the following features:

• A new local extension, guest telemetry, is introduced, which collects important telemetry data about Independent Software Vendors (ISVs) running on a compute instance. For more information about the telemetry the guest agent collects, see System telemetry collection.
• The enable_local_plugins configuration now defaults to true.
• A new configuration flag connection_type is introduced to the PluginConfig section of the guest agent configuration file. This option forces a specific connection type when the guest agent connects to the extensions it is managing. Supported connection types are UDS and TCP.

Fixed

Version 20260329.00 of the guest agent is now available for all supported operating systems. This version introduces the following fixes:

• The guest agent no longer terminates abruptly when an extension’s gRPC client is null. Instead, it logs an error.
• The credentials setup for HTTPS access to the metadata server was moved to prevent it from blocking the guest agent’s readiness signal. This mitigates an issue on machines without vTPM, where the guest agent can take an extra 10 seconds to signal that it’s ready.
• The core plugin now logs during the startup phase to provide a better signal on when it’s started.
• Locally bundled extensions are now direct child processes of the agent manager process. This helps resolve an issue where plugins remain as running processes but fail to start correctly.

Looker

Feature

Available in preview, you can publish the Conversational Analytics data agents that you create in Looker to Gemini Enterprise.

Feature

Available in preview for Looker (Google Cloud core), you can now track end-to-end data lineage from BigQuery to Looker content, including views, Explores, dashboards, and Looks, through the Looker and Dataplex lineage integration. This enables impact analysis to see how BigQuery changes affect downstream Looker (Google Cloud core) contents.

Feature

The Enhanced Content Cleanup preview feature is now available. When this feature is enabled for your instance, it lets admins and content owners access an enhanced content management experience in Looker. The Enhanced Content Cleanup preview feature provides the following capabilities:

• Lets admins and users access a new Unused content folder to quickly identify and manage the unused content on a Looker instance.
• Lets admins programmatically schedule content cleanups for individual content or in bulk, and send automatic notifications to content owners.
• Lets content owners opt out of automated scheduled cleanups for specific content.
• Lets admins and users move content to the trash.

This feature is disabled by default.

Announcement

Starting March 30, 2026, the following features will begin rolling out.

Feature

Available in preview, you can chat with Conversational Analytics data agents in user-defined dashboards and in LookML dashboards.

Change

The Looker mobile application now supports sending alert notifications as push notifications to users who have the Looker mobile application on their mobile device.

Feature

Now generally available, Looker has full support for connections with AlloyDB for PostgreSQL. When you create a connection in Looker, you can now select Google Cloud AlloyDB for PostgreSQL from the Dialect drop-down menu. This update doesn’t affect existing AlloyDB connections that were created using the PostgreSQL 9.5+ option in the Dialect menu.

Feature

The New Looker Explore and Merge Query Experience preview feature is now available.

When this feature is enabled for your instance, it lets individual users have the option to try the redesigned Looker Explore and Merge Query interfaces. The streamlined interfaces let Looker users find connections and gain insights from their data more quickly. For an AI-assisted experience, enable additional options on the Gemini in Looker page in the Platform section of the Admin panel.

This feature is disabled by default.

Learn more about the new Explore and Merge Query experience.

Feature

Available in preview, Looker (Google Cloud core) now integrates with Dataplex Universal Catalog, providing a unified discovery and management experience for your Looker metadata. This allows you to search for Looker assets like LookML models and dashboards directly within Dataplex, giving you a comprehensive view of your data landscape.

Feature

When connecting Looker to your database, you can specify additional Java Database Connectivity (JDBC) parameters that you want Looker to include when it communicates with your database driver. In order to keep your connection secure, Looker now has an allowlist for the additional JDBC parameters that are supported for each database dialect.

• If you try to create or update a connection that uses unsupported JDBC parameters, Looker will display an error message that shows the non-allowed parameters.
• If you have an existing connection that uses unsupported JDBC parameters, Looker will remove the parameters and then connect to your database.

For a list of the supported JDBC parameters for your dialect, see the “Supported JDBC parameters” section of the database configuration instructions page for your dialect.

Spanner

Feature

Spanner offers conversational analytics, which lets users query their operational data using natural language. This feature is powered by the Conversational Analytics API, which can help you translate complex human dialog into precise database queries to provide actionable insights. This feature is in Preview. For more information, see Conversational analytics for Spanner overview.

Virtual Private Cloud

Feature

Service producers can accept or reject connections from individual Private Service Connect endpoints. This feature is available in General Availability.

Source: Google Cloud Platform