Apigee X
Announcement
On February 6th, 2026, we released an updated version of Apigee.
Security
| Bug ID | Description |
|---|---|
| 477294854, 477297075, 477297324, 470988850, 471662549 | Security fix for Apigee infrastructure. This addresses the following vulnerabilities: |
Capacity Planner
Feature
Preview: Capacity Planner supports the following:
- Usage data for the egress bandwidth of Cloud Storage buckets, which can help you monitor when to request more bandwidth.
- Usage data for GPUs attached to Spot VMs, which can help you optimize your resource usage and plan for future capacity and quota needs.
For more information, see View usage and forecast data.
Cloud Asset Inventory
Feature
The following resource types are publicly available through the ExportAssets, ListAssets, BatchGetAssetsHistory, QueryAssets, Feed, SearchAllResources, and SearchAllIamPolicies APIs.
- Bigtable
bigtableadmin.googleapis.com/LogicalView
Cloud Monitoring
Feature
You can use the Cloud Monitoring API MCP server to let agents and AI applications interact with your time series data. This feature is in Preview.
Feature
You can now ingest OTLP metrics into Cloud Monitoring by using an OpenTelemetry Collector, an OTLP exporter, and the Telemetry API. For more information, see OTLP metric ingestion overview. The Telemetry API for metric ingestion is in Preview.
Cloud Run
Feature
Expanded coverage for compute flexible committed use discounts (CUDs) is available to all Cloud Billing accounts. Your Cloud Billing accounts have been automatically migrated to the new spend-based CUD model and you no longer need to opt-in to benefit from the expanded coverage. For the full list of eligible SKUs across Compute Engine, GKE, and Cloud Run, see SKU Groups – Compute Flexible CUD Eligible SKUs.
To learn more about compute flexible CUDs for Cloud Run and how they apply to your usage, see the compute flexible CUDs documentation.
Compute Engine
Change
Expanded coverage for compute flexible committed use discounts (CUDs) is available to all Cloud Billing accounts. All Cloud Billing accounts have been automatically migrated to the new spend-based CUD model and you no longer need to opt in to benefit from the expanded coverage. For the full list of eligible SKUs across Compute Engine, GKE, and Cloud Run, see SKU Groups – Compute Flexible CUD Eligible SKUs.
To learn more about compute flexible CUDs and how they apply to your usage, see the compute flexible CUDs documentation.
Dataproc
Feature
Dataproc on Compute Engine: Sharing snapshot diagnostic data: Setting the --tarball-access=GOOGLE_DATAPROC_DIAGNOSE flag with the gcloud dataproc clusters diagnose command shares all of the output Cloud Storage bucket contents with Google Cloud support if uniform bucket-level access is enabled on the output Cloud Storage bucket. If object-level access control is enabled on the output Cloud Storage bucket, only the generated diagnostic tar file is shared.
Announcement
New Serverless for Apache Spark runtime versions:
- 1.2.69
- 2.2.69
- 2.3.22
- 3.0.5
Feature
Serverless for Apache Spark: Added support for removing conscrypt
from Serverless for Apache Spark 2.3+ runtimes using the
dataproc.artifacts.remove
property .
Developer Connect
Feature
You can now connect to Secure Source Manager using Developer Connect.
Gemini Enterprise
Security
Gemini Enterprise: Security update
CVE-ID: CVE-2026-1727
Vulnerability: Mitigation for Potential Cloud Storage Namespace Hijacking (“Bucket Squatting”)
Description: We have addressed a security vulnerability (CVE-2026-1727) in Gemini Enterprise related to the management of Cloud Storage bucket names. The issue, commonly known as “bucket squatting,” can arise if an attacker pre-emptively registers a bucket name that Gemini Enterprise services might be configured to use.
Potential impact: Exploitation of this vulnerability can let an attacker intercept, access, or manipulate data intended for a legitimate Gemini Enterprise-related Cloud Storage bucket.
Status: This vulnerability has been remediated in Gemini Enterprise. We have enhanced our systems to ensure the integrity and proper ownership of Cloud Storage resources used by the platform, which prevents this potential issue.
Action required: No action is required from users. The necessary fixes and safeguards have been automatically deployed to Gemini Enterprise.
Feature
Gemini Enterprise: Data connector for Linear (Public preview)
You can connect Linear data stores to Gemini Enterprise. For more information, see Connect Linear.
Support for Linear data sources is in Public preview.
Feature
Gemini Enterprise: Welcome emails
After a user signs in to Gemini Enterprise for the first time, the user receives a welcome email with tips on how to get the most out of Gemini Enterprise. Gemini Enterprise admins can turn this feature on or off from the admin settings.
For more information, see Manage web app features.
Looker
Deprecated
The DataRobot action is now deprecated. This action is no longer available in the Looker Action Hub.
NetApp Volumes
Feature
Google Cloud NetApp Volumes supports the all-squash feature for NFS exports.
This option lets you enhance security by mapping all client user IDs to a single
anonymous user ID (UID=65534). For more information, see User ID squashing.
Secure Source Manager
Feature
You can now connect to Secure Source Manager using Developer Connect.
Source: Google Cloud Platform
