GCP Release Notes: February 18, 2026

App Engine flexible environment .NET

Feature

Support for .NET 10 runtime is in General Availability.

Bigtable

Announcement

New best practices are available for securing generative AI agents using Model Context Protocol (MCP) with Google Cloud databases. This guide covers key security measures like least privilege, native database controls, and secure agent design to help you build safer AI applications. For more information, see Best practices for securing agent interactions with Model Context Protocol.

Feature

You can migrate a machine learning feature management workload from Vertex AI Feature Store (Legacy) to a Bigtable instance. For more information, see Migrate from Vertex AI Feature Store (Legacy) to Bigtable.

Cloud Run

Feature

Support for .NET 10 runtime is in General Availability.

Cloud Run functions

Feature

Support for .NET 10 runtime is in General Availability.

Cloud SQL for MySQL

Deprecated

Control of MCP use with organization policies is deprecated. After March 17, 2026, organization policies that use the gcp.managed.allowedMCPServices constraint won’t work, and you can control MCP use with IAM deny policies. For more information about controlling MCP use, see Control MCP use with IAM.

Change

After March 17, 2026, when you enable the Cloud SQL Admin API (sqladmin.googleapis.com), the Cloud SQL remote MCP server is enabled automatically.

The Cloud SQL remote MCP server is in Preview.

Cloud SQL for PostgreSQL

Deprecated

Control of MCP use with organization policies is deprecated. After March 17, 2026, organization policies that use the gcp.managed.allowedMCPServices constraint won’t work, and you can control MCP use with IAM deny policies. For more information about controlling MCP use, see Control MCP use with IAM.

Change

After March 17, 2026, when you enable the Cloud SQL Admin API (sqladmin.googleapis.com)`, the Cloud SQL remote MCP server is enabled automatically.

The Cloud SQL remote MCP server is in Preview.

Cloud SQL for SQL Server

Deprecated

Control of MCP use with organization policies is deprecated. After March 17, 2026, organization policies that use the gcp.managed.allowedMCPServices constraint won’t work, and you can control MCP use with IAM deny policies. For more information about controlling MCP use, see Control MCP use with IAM.

Change

After March 17, 2026, when you enable the Cloud SQL Admin API (sqladmin.googleapis.com), the Cloud SQL remote MCP server is enabled automatically.

The Cloud SQL remote MCP server is in Preview.

Compute Engine

Feature

Generally available: You can use Hyperdisk Exapools for large-scale workloads, such as AI and machine learning, that require between 500 TiB and 5 EiB of block storage and more than 100 GiB/s of concurrent performance in a single zone. With Hyperdisk Exapools, you purchase storage and performance in bulk and share those resources across as many as 500,000 disks in a single project.

To use Hyperdisk Exapools with your projects, contact your account team to get access.

To learn more about Hyperdisk Exapools, see Hyperdisk Exapools overview.

Google Cloud Armor

Change

Cloud Armor preconfigured WAF rules support for inspection up to the first 64 kB (either 8 kB, 16 kB, 32 kB, 48 kB, or 64 kB) of the request body content is Generally Available.

Google Kubernetes Engine

Security

Multiple security vulnerabilities have been identified in the OpenSSL library. The most significant finding is CVE-2025-15467, a critical vulnerability that might allow for remote code execution (RCE) or denial of service (DoS) attacks via network-based vectors. For more information, see the GCP-2026-006 security bulletin.

Network Intelligence Center

Feature

Cloud Network Insights is available in Preview.

Cloud Network Insights monitors your network and web application performance across multicloud and hybrid networks and provides visualization tools to help identify and diagnose network issues.

Contact your Technical Account Manager to request access.

SAP on Google Cloud

Announcement

New SAP HANA certifications for OLAP and OLTP workloads

For use with SAP HANA, SAP has certified the following:

• You can use the m3-ultramem-128, m4-hypermem-64, x4-480-6t-metal, x4-480-8t-metal, and x4-960-12t-metal machine types to run OLAP workloads in scale-out configurations with up to 8 nodes.
• You can use the x4-480-8t-metal and x4-960-12t-metal machine types to run OLTP workloads in scale-out configurations with up to 4 nodes.

For more information, see Certified Compute Engine machine types for SAP HANA.

Source: Google Cloud Platform