AlloyDB for PostgreSQL
Feature
You can now use the Database Insights remote MCP server to analyze AlloyDB’s performance and system metrics. This feature is in GA.
Feature
The AlloyDB remote MCP server—available through the global endpoint—is now generally available (GA) and includes support for the following:
- Read-only execute SQL.
- Tools to help you update your instance, export and import data, create a backup, and restore your cluster.
- Public IP.
- Private Service Connect endpoint automation.
For more information, see Use the AlloyDB remote MCP server.
Issue
ChatGPT users aren’t able to list or use the AlloyDB toolset provided by the AlloyDB remote MCP server.
Apigee hybrid
Announcement
v1.16.1
On April 20, 2026 we released an updated version of the Apigee hybrid software, v1.16.1.
- For information on upgrading, see Upgrading Apigee hybrid to version v1.16.1.
- For information on new installations, see The big picture.
Fixed
Fixed in this release
| Bug ID | Description |
|---|---|
| 469900037 | Apigee hybrid now supports LLMTokenQuota and PromptTokenLimit policies. |
| 502577947 | Enhanced the ParsePayload policy to support a broader set of Model Context Protocol (MCP) methods and implemented governance bypass for essential system-level methods. |
| 503029410 | Removed PII from ParsePayload policy outputs to improve security and privacy. |
Security
| Bug ID | Description |
|---|---|
| 485998102, 482978613 | Security fixes for apigee-runtime, apigee-mart-server, and apigee-synchronizer. This addresses the following vulnerabilities: |
| 471527485, 471173296, 471172082, 471171833 | Security fixes for apigee-synchronizer. This addresses the following vulnerabilities: |
| 454672970 | Security fix for apigee-runtime. This adds strict input validation to the IntegrationRegion parameter in the SetIntegrationRequest policy to prevent potential server-side request forgery (SSRF). |
| 493067053, 493061344, 492959383, 492957334, 492359443, 492358696, 492067139, 490280970, 489908390, 489907729, 489489437, 488070159, 485580973 | Security fixes for apigee-hybrid-cassandra. This addresses the following vulnerabilities: |
| 494902472, 493902764, 493747531, 493747186, 493066364, 492956556, 492812098, 492810982, 492737291, 492733739, 492067214, 491191150, 490628133, 490627481, 490279890, 490278396, 489905507, 489904404, 477290192 | Security fixes for apigee-kube-rbac-proxy. This addresses the following vulnerabilities: |
| 494874583, 493352686, 493350530, 493065065, 492958506, 492958221, 492810419, 492734198, 492360831, 491606491, 491602959, 490628958, 490628720, 490625335, 489487288, 477290192 | Security fixes for apigee-watcher. This addresses the following vulnerabilities: |
| 493904046, 493748763, 493353749, 492959837, 492959353, 492958532, 492734063, 492358967, 491163162, 489907974, 489494841, 477290192 | Security fixes for apigee-operators. This addresses the following vulnerabilities: |
| 493940049, 493935866, 492812693, 492811208, 490847438, 490285784, 443494822, 430609333, 428036268, 428035602 | Security fixes for apigee-fluent-bit. This addresses the following vulnerabilities: |
| 494873893, 492957899, 492811896, 492735230, 492734621, 492362013, 492358145, 492044636, 491192904, 491163716, 490628292, 490283689, 489908590, 489487798, 485998102, 482978613 | Security fixes for apigee-open-telemetry-collector. This addresses the following vulnerabilities: |
| 495206280, 492736206, 492358267, 491606961, 491603879, 490845184, 490842872, 490626346, 490625529, 490278258, 489155677 | Security fixes for apigee-udca. This addresses the following vulnerability: |
| 492959491, 492959470, 492959266, 492812323, 492736535, 492736355, 492736200, 492734720, 492549333, 492528258, 492528186, 492361814, 492360845, 492359742, 492359020, 492039084, 490625473, 489488025, 489120498 | Security fixes for apigee-prometheus-adapter. This addresses the following vulnerability: |
| 492959323, 492958717, 492813153, 492736850, 492736096, 492735265, 492360419, 492359937, 492359237, 492041473, 491604321, 491602140, 490847572, 490627493, 490282905, 489151338, 489127231 | Security fixes for apigee-redis. This addresses the following vulnerability: |
| 492736867, 492735320, 492550947, 492549407, 492360316, 492359543, 492358244, 491608063, 491603446, 491169265, 490282128, 490278007, 490276323, 489127588, 489124394 | Security fixes for apigee-asm-ingress. This addresses the following vulnerability: |
| 492956844, 492956300, 492812417, 492811007, 492810814, 492528300, 492361776, 492360457, 492360310, 492360053, 492358006, 492037890, 491606683, 489492294, 489152529 | Security fixes for apigee-asm-istiod. This addresses the following vulnerabilities: |
BigQuery
Change
Starting July 25, 2026, the BigQuery Data Transfer Service for Facebook Ads
connector will update the data type
mapping for the ActionValue field in the AdInsightsActions report from INT
to FLOAT.
Feature
The following features have been added to Python UDFs during Preview:
- Vectorized UDFs with Apache Arrow. You can now create vectorized Python
UDFs
using the Apache Arrow
RecordBatchinterface for improved performance. - Cloud Monitoring integration. Python UDFs now export metrics to Cloud Monitoring, including CPU utilization, memory utilization, and maximum concurrent requests per instance.
- Container request concurrency. A new option,
container_request_concurrency, is available for theCREATE FUNCTIONstatement. This option controls the maximum number of concurrent requests per Python UDF container instance. - New quotas. Python UDFs are now subject to new quotas on image storage bytes (10 GiB per project per region) and mutation rate (30 per minute per project per region).
- Cost visibility. Python UDF costs can be seen in the
external_service_costscolumn in theINFORMATION_SCHEMA.JOBSview and in theExternalServiceCostsfield in the Job API.
Feature
You can now migrate metadata from external data catalogs to BigLake tables for Apache Iceberg. This feature supports external data catalogs such as such as Apache Hive Metastore and Apache Iceberg REST Catalog. This feature is in Preview.
Feature
You can use the BigQuery MCP server to perform a range of data-related tasks with your AI applications including:
- Examining BigQuery resources.
- Generating accurate and efficient SQL queries.
- Securely executing queries.
- Interpreting query results.
This feature is Generally Available (GA).
Feature
You can now publish a BigQuery Conversational Analytics agent in Gemini Enterprise. This feature is in Preview.
Feature
You can now use the notebook gallery in the BigQuery web UI as your central hub for discovering and using prebuilt notebook templates. This feature is generally available (GA).
Bigtable
Feature
You can use the Database Insights remote MCP server to analyze Bigtable’s performance and system metrics. This feature is generally available (GA).
Feature
Bigtable continuous materialized views are generally available (GA). These views let you create precomputed tables that Bigtable automatically keeps in sync with your source data for low-latency queries and real-time insights.
Feature
Bigtable free trial instances are generally available (GA). These instances let you learn and explore Bigtable features for 90 days at no cost, providing a 1-node SSD cluster and up to 500 GB of storage. For more information, see Free trial instances overview.
Feature
The Bigtable remote MCP server is generally available (GA). The Bigtable remote MCP server lets you interact with Bigtable instances from LLMs, AI applications, and AI-enabled development platforms.
Cloud Billing
Feature
GKE workload recommenders now available in the FinOps hub
You can now view recommendations for right-sizing overprovisioned workloads and optimizing underprovisioned workloads for Google Kubernetes Engine (GKE) clusters directly in the FinOps hub.
For more information, see Optimize workload resource utilization.
Cloud Logging
Libraries
Go
{: track-name=’go’} #### v1.16.0 (2026-04-13)Cloud Run
Feature
Cloud Run ephemeral disk, which allows you to mount a volume that persists only for the duration of your service, job, or worker pool instance, is in Preview.
Cloud SQL for MySQL
Feature
You can use the Database Insights remote MCP server to analyze Cloud SQL for MySQL’s performance and system metrics. This feature is in GA.
Cloud SQL for PostgreSQL
Feature
You can use the Database Insights remote MCP server to analyze Cloud SQL for PostgreSQL’s performance and system metrics. This feature is in GA.
Cloud SQL for SQL Server
Feature
You can use the Database Insights remote MCP server to analyze Cloud SQL for SQL Server’s performance and system metrics. This feature is in GA.
Cloud Storage
Feature
Cloud Storage Model Context Protocol (MCP) server is generally available. You can connect to Cloud Storage from AI applications using the server. It lets AI applications and agents create buckets, retrieve object metadata, read and write object data, and list buckets and objects. For more information, see Use the Cloud Storage MCP server and Cloud Storage MCP reference.
Compute Engine
Feature
Generally available: You can use the Compute Engine remote Model Context Protocol (MCP) server to let AI agents and AI applications manage Compute Engine resources, such as Compute Engine instances, managed instance groups, disks, and snapshots. For more information, see Use the Compute Engine remote MCP server.
Firestore
Feature
The Firestore emulator now supports Enterprise edition. See Start emulator in specific edition.
Feature
Firestore Enterprise edition in Native mode and the Pipeline operations interface are now supported at the General Availability (GA) level.
Feature
Firestore Enterprise edition now supports Text search and Geospatial search.
These features are in Preview.
Feature
The Firestore remote MCP server is now supported at the General Availability (GA) level.
Feature
You can now use pipeline operations to perform joins with subqueries. To learn more, see Perform joins with subqueries.
Feature
Firestore Enterprise edition now supports the
update(...) and delete() pipeline operation stages.
Use these stages to Modify data with Pipeline operations.
This feature is in Preview.
Firestore with MongoDB compatibility
Feature
The maximum document size has been increased to 16 MiB. To learn more, see Behavior differences.
Feature
Support for text and geospatial search. You
can create text indexes, perform text and geospatial search queries using
the $text and $near operators, handle language settings, and calculate
relevance scores. To learn more, see Text search
and Geospatial search.
These features are available in Preview.
Feature
$lookup now supports let and pipeline.
Feature
Support for Change Streams. Change streams let applications access real-time changes (inserts, updates, and deletes) made to a collection or to an entire database.
This feature is available in Preview.
Feature
Support for the drop() command to delete entire collections.
This feature is available in Preview.
Gemini Enterprise
Feature
Gemini Enterprise: Request access to Google Cloud Marketplace agents
End users can request access to Google Cloud Marketplace agents from Agent Gallery. Admins can configure the visibility of these agents, view purchase requests, and manage access requests.
For more information, see:
Feature
Gemini Enterprise: Register ADK agents hosted on Vertex AI Agent Engine
You can register ADK agents hosted on Vertex AI Agent Engine with Gemini Enterprise. This includes agents running within Vertex AI Agent Engine in a different Google Cloud project. This feature is generally available (GA).
For more information, see:
Google Kubernetes Engine
Feature
Accelerator network profile is Generally Available (GA), simplifying your AI/ML node pool setup. Accelerator network profile automates networking configuration, including the creation of necessary VPCs and subnets, removing the need for complex, manual steps previously required for configuring GPU and TPU workloads. For details, see Configure automated networking for accelerator VMs.
Looker
Feature
Now available in preview, the Looker VS Code Extension brings LookML development to local desktop IDEs like Visual Studio Code, Claude Code, and Cursor. The extension supports syntax highlighting, autocomplete, real-time file synchronization with your Looker instance, and LookML validation. With the Looker MCP server, it enables AI-assisted development, allowing you to use natural language with agents like Gemini to generate and edit LookML code.
SAP on Google Cloud
Announcement
Google SecOps for SAP is in Preview
Google SecOps for SAP is in Preview. This service helps you secure your SAP applications by integrating business-critical telemetry into the Google Security Operations platform, providing unified visibility and AI-powered threat detection across your SAP landscape.
For more information, see Google SecOps for SAP overview.
Spanner
Feature
The Spanner remote MCP server is generally available (GA). The Spanner remote MCP server lets you interact with Spanner instances from LLMs, AI applications, and AI-enabled development platforms.
Feature
You can use the Database Insights remote MCP server to analyze Spanner’s performance and system metrics. This feature is generally available (GA).
Feature
You can now use Spanner Studio to visually create and manage a Spanner Graph schema. Visual modeling simplifies graph design by enabling you to map nodes and edges through an intuitive interface instead of creating manual DDL statements. This feature is available in Preview.
Source: Google Cloud Platform
