News
Generative AI MCP Official BlogAnnouncing Model Context Protocol (MCP) support for Google services - Google is announcing official MCP support for Google and Google Cloud services for AI agents.
API Apigee MCP Official BlogAnnouncing MCP support in Apigee: Turn existing APIs into secure and governed agentic tools - Apigee now supports MCP and allows enterprises to turn their APIs into MCP servers.
Data Analytics Gemini Official BlogAlphaEvolve on Google Cloud: AI for agentic discovery and optimization - Today, we're bringing AlphaEvolve, our Gemini-powered coding agent for designing advanced algorithms, in private preview on Google Cloud.
Google Unified Security Official Blog PartnersExpanding the Vision: Welcoming Palo Alto Networks to Google Unified Security Recommended - We are excited to announce Palo Alto Networks as the latest addition to the Google Unified Security Recommended program, joining previously announced partners CrowdStike, Fortinet and Wiz.
Gemini Official Blog Vertex AIGemini Live API Now GA on Vertex AI - Google Cloud customers can now deploy mission-critical, low-latency voice and video agents with the stability, performance, and governance required for your most demanding workflows.
Infrastructure Official Blog PartnersNutanix NC2 is now officially supported on Google Cloud - Nutanix NC2 is generally available on Google Cloud. Seamlessly migrate and modernize your specialized workloads, leverage Google Cloud's AI and data services, and simplify procurement.
DevOps Official Blog TerraformStreamline the design and deployment of application infrastructure with Application Design Center, now GA - Application Design Center provides an AI-powered, canvas-style approach to designing and modifying Terraform application templates, and is now GA.
Official Blog Partners QuadrantGoogle named a Leader in the 2025 IDC MarketScape for Worldwide Hyperscaler Marketplaces - Google is a Leader in the 2025 IDC MarketScape for Worldwide Hyperscaler Marketplaces. Learn about our commitment to the AI agent economy and enterprise-ready solutions.
Articles, Tutorials
Infrastructure, Networking, Security, Kubernetes
Google Kubernetes EngineIntroducing two-step control plane minor upgrades with rollback safety - Google Kubernetes Engine (GKE) 1.33 introduces a new two-step control plane minor upgrade process with rollback safety, addressing the stress of Kubernetes upgrades. This enhancement allows users to first upgrade control plane binaries and validate them during a "rollback-safe stage" before fully enabling new API features.
Agents AI Official BlogAI agents are here. Is your infrastructure ready? - IDC claims that the gap between the theoretical performance of an AI stack and its actual performance is driving a TCO crisis for infrastructure.
DevOps SecurityWhen Google Cloud Suspended My Project for Crypto Mining I Wasn’t Doing - False positives, automated enforcement, and why vulnerable code is everyone’s problem.
CISO Official BlogCloud CISO Perspectives: Our 2026 Cybersecurity Forecast report - Francis deSouza shares our Cybersecurity Forecast report for the coming year, with additional insights from our Office of the CISO colleagues.
Certificate ManagerSelf-Managed TLS Certificates on Google Cloud - This article details how organizations can securely manage their own TLS certificates on Google Cloud, addressing scenarios where automated provisioning isn't sufficient due to compliance or internal policies.
Official Blog Threat IntelligenceMultiple Threat Actors Exploit React2Shell (CVE-2025-55182) - Widespread exploitation of the React2Shell vulnerability (CVE-2025-55182) by multiple threat actors, including China and cyber criminals.
ADK GKE Autopilot Google Kubernetes Engine LLMADK Agents on GKE with Self-Hosted LLMs & vLLM - This tutorial demo deploying Llama-3.1–8B-Instruct model on Google Kubernetes Engine (GKE) using vLLM and integrating an ADK Agent.
Infrastructure Network Connectivity Center NetworkingNCC Transitivity - Google Cloud's Network Connectivity Center (NCC) enhances network management by introducing transitivity, overcoming the limitations of non-transitive VPC peering. This crucial feature enables seamless connections from on-premise environments to managed services like Cloud SQL via Private Service Access and allows Private Service Connect endpoints to be shared across diverse networks. NCC acts as a central routing exchange, simplifying complex topologies and eliminating the need for cumbersome workarounds.
Network Connectivity CenterDeep Dive into Network Connectivity Center in GCP(NCC) - This article provides a deep dive into Google Cloud's Network Connectivity Center (NCC), presenting it as a unified management model that significantly simplifies complex network topologies such as Hub and Spoke. It highlights how NCC offers a superior alternative to traditional VPC Peering by providing transitivity, linear scaling, and centralized management.
NetworkingNCC: Mastering Route Propagation - This article details how Google Cloud's Network Connectivity Center (NCC) manages route propagation across various network topologies.
App Development, Serverless, Databases, DevOps
Gemini Generative AIIntelligent UI testing with Gemini: Redefining mobile app quality assurance with GenAI - Traditional mobile app UI testing often suffers from inefficiency and a tendency to miss critical issues due to manual processes. This article introduces an intelligent software testing toolkit, leveraging Google Gemini Large Language Models, to address these challenges.
Official Blog Public Sector WorkspaceBoost your agency's efficiency: Take Google Workspace for a test drive - Experience secure, efficient AI with the Google Workspace Test Drive. Get a 30-day no-cost pilot with Gemini, guided setup, and reporting.
AlloyDB DevOps WorkflowsAutomate cross-regional backups of AlloyDB with Cloud Workflows - This article demonstrates how to automate scheduled, cross-regional backups for Google Cloud's AlloyDB, addressing the limitation of its default in-region backups. The solution leverages Cloud Scheduler to trigger Cloud Workflows, which orchestrates calls to the AlloyDB on-demand backup API for cross-region data replication and includes logic for retaining backups for a specified duration. This method provides a robust disaster recovery strategy by ensuring data redundancy across different geographic regions.
Cloud SQLPostgres 18 on Cloud SQL Enterprise Plus better Together - Postgres 18 is now generally available on Cloud SQL, delivering significant performance and manageability upgrades, particularly for I/O operations and Autovacuum. This release introduces new tuning flags for features like Asynchronous I/O and smarter Autovacuum, giving developers and DBAs more control over database behavior.
AIPick up exactly where you left off with Session Management in Gemini CLI - Gemini CLI new automatic Session Management (v0.20.0+) saves your conversation history, tool outputs, and reasoning, providing project-specific context. Resume easily using the Interactive Session Browser (`/resume`) or command-line flags (`--resume`). This feature ensures you never lose your work state, capturing prompts, tool execution details, and usage stats. Customize history with cleanup policies in `settings.json`.
DevOps Official Blog SREIs your DR plan just wishful thinking? Prove your resilience with chaos engineering - Controlled chaos engineering experiments that simulate real-world disasters quantitatively measure the impact of failures on system performance.
Apigee PaywallDifference Between PopulateCache, LookupCache, and InvalidateCache in Apigee X - This article clarifies the differences between three essential Apigee X cache policies: LookupCache, PopulateCache, and InvalidateCache. It explains that LookupCache checks for existing cached data, PopulateCache stores new backend responses, and InvalidateCache removes outdated entries. Together, these policies enable developers to optimize API performance, reduce backend load, and ensure data freshness within Apigee X proxies.
AI DevOps Official BlogFrom adoption to impact: Putting the DORA AI Capabilities Model to work - AI magnifies the strengths of high-performing organizations and the dysfunctions of struggling ones. Check out the DORA AI Capabilities Model report to help navigate this new reality.
AlloyDBBeyond the For-Loop: Generating Database-Driven Embeddings at Scale with AlloyDB - Google Cloud's AlloyDB introduces an "Auto vector embeddings" feature, streamlining the process of generating and managing database-driven embeddings at scale. This built-in capability allows users to create and maintain vector embeddings with a single SQL command, eliminating the need for complex external scripts and manual updates. It offers a robust, reliable, and low-latency solution that significantly outperforms traditional row-by-row embedding generation methods.
Cloud Firestore Cloud Run Docker Firebase PaywallDeploy your app on Google Cloud Run with Firebase, Firestore and Docker - This guide walks through the full process of deploying an app on Google Cloud Run using Firebase with a Firestore backend.
AIDon't Trust, Verify: Building End-to-End Confidential Applications on Google Cloud - Google Cloud enables end-to-end confidential applications, protecting sensitive data 'in-use' with hardware isolation. The solution combines Confidential Space (TEE/attestation), Oak Functions (private sandbox), and Oak Session (attested end-to-end encryption for scale). This framework anchors user trust in open-source components, proving confidentiality for sensitive workloads like proprietary GenAI models, even when running behind untrusted load balancers.
AlloyDBAlloyDB and the Reunification of Data: An Architectural Perspective on HTAP - When operational and analytical worlds unite, insight becomes instant.
Big Data, Analytics, ML&AI
Agents Data Analytics Official Blog StreamingRecognizing real-time data innovations for the agentic era - Learn about recent innovations to Data Cloud’s data integration and streaming capabilities resulting in recognition in Gartner and Forrester reports.
AI Cloud Healthcare Official BlogIntegrating MedGemma into clinical workflows just got easier! - MedGemma's toolkit now features native DICOMweb integration and an agentic FHIR navigation demo to help developers simplify the process of integrating it into clinical workflows.
BigQuery dbtSCD2 in BigQuery + dbt: Historical Versioning, Hashing Strategies and DOF Full-Load Processing - A deep dive into scalable SCD2 pipelines using hash-based change detection and DOF processing in BigQuery + dbt.
BigQueryOptimizing BigQuery Cost for the Solana Community Dataset: A Petabyte-Scale Project - An engineering team successfully optimized the petabyte-scale Solana Community Dataset on Google Cloud's BigQuery, which previously incurred high costs from full-history scans.
AI TPUTPU Mythbusting: vendor lock-in - This article debunks common myths surrounding Google's Tensor Processing Units (TPUs) and vendor lock-in. It clarifies that while TPUs are currently exclusive to Google Cloud, migrating workloads to GPUs on other platforms is a feasible option.
Machine LearningSolving Public Health’s Data Fragmentation: Architecting an ML-Powered Master Person Index (MPI) on Google Cloud - Public health agencies face significant challenges due to fragmented patient data across various siloed systems, compromising patient safety and operational efficiency. This article details the architecture for an ML-powered Master Person Index (MPI) on Google Cloud, designed to create a "Golden Record" for individuals by accurately linking disparate data. Leveraging Google Cloud's BigQuery and Vertex AI, this solution provides a robust pipeline for entity resolution, ensuring a consistent and traceable identity across an organization.
Data ScienceThe Counterfeit Latent Space: Why AI Needs a Physics Engine - This article highlights that current AI models are experiencing a "Model Collapse" and "spatial hallucinations" because they prioritize semantic recognition from a faked "visible web" over physical authenticity. To address this "Geospatial Grounding Gap," it proposes a "Forensic Trinity" architecture. This solution leverages Google Maps Platform for geospatial truth, BigQuery ML for supply chain physics, and Vertex AI for vector topology to verify assets based on immutable physical properties.
Gemini Official Blog Vertex AIA developer's guide to Gemini Live API in Vertex AI - Learn how to use Gemini Live API in Vertex AI to enable real-time, emotionally aware, and multimodal conversations in your applications.
Gemini Looker MCP Official BlogHow to connect Looker to Gemini Enterprise in minutes, with MCP Toolbox and ADK - Learn how to create an Agent Development Kit (ADK) agent connected to Looker via the MCP Toolbox for Databases and expose it within Gemini Enterprise.
AIBuilding agents with the ADK and the new Interactions API - The new Gemini Interactions API enables stateful, multi-turn AI agent workflows, providing a single interface for raw models and the Gemini Deep Research Agent. It can be integrated with existing ADK systems as a superior inference engine with simplified state management, or used as a transparent remote A2A agent via InteractionsApiTransport, allowing seamless expansion of multi-agent systems with minimal refactoring.
Data Analytics Official BlogHow Virgin Media O2 uses data contracts to enable trusted data and scalable AI products - Learn how Virgin Media O2 uses data contracts to ensure that every dataset they publish is reliable, documented, and ready for consumption.
Agents Data Analytics GCP Experience Official Blog PartnersHow we built a multi-agent system for superior business forecasting - Using distinct data and prediction agents from App Orchid and Google Cloud, the team was able to create a unified business forecasting agent.
Gemini Vertex AIIntegrating Agents on Custom Platforms with Gemini Enterprise - This article details how to integrate Google Cloud's Gemini Enterprise (GE) agents directly into custom platforms, overcoming the limitations of its native user interface. By leveraging GE's core APIs for listing agents, initiating sessions, and exchanging messages, organizations can embed governed AI agents seamlessly into their business applications. This approach promotes company-wide agent adoption by bringing the agents to the users' workflow and enabling session continuity across different interfaces.
Gemini Vertex AIFrom DIY RAG Stack to Managed Agents: Migrating to Vertex AI Vector Search and ADK - Over the last months, I have been on a journey that probably looks familiar to a lot of people building agentic systems in production.
ADKHow to Register and Use ADK Agents with Gemini Enterprise - This article provides a comprehensive guide on integrating custom agents built with Google's Agent Development Kit (ADK) into Gemini Enterprise. It details how to register these agents for a centralized user interface, offering improved scalability and governance compared to custom UI solutions.
Generative AI MCPTutorial : Getting Started with Google MCP Services - Google Cloud has introduced fully-managed Model Context Protocol (MCP) services, offering standardized, secure, and scalable endpoints for AI agents to interact with core Google and Google Cloud services like BigQuery and Google Maps. The article provides a comprehensive guide on enabling these services, configuring access, and integrating them with tools like Gemini CLI and the Agent Development Kit.
Various
AI PaywallWhy I Paid Google $299 And Got $700+ Back (This Makes No Sense 🤯) - Google just launched a subscription that pays YOU more than you pay them. Here’s why every developer needs to know about this.
Slides, Videos, Audio
Agents Official BlogAgent Factory Recap: Building with Gemini 3, AI Studio, Antigravity, and Nano Banana - Recap the Agent Factory podcast episode dissecting Google's AI releases: Gemini 3, Antigravity IDE, and Nano Banana Pro. Learn about AI-native coding, agent development, and DeepMind's evolutionary path for Gemini.
Security Podcast - #255 Separating Hype from Hazard: The Truth About Autonomous AI Hacking.
Releases
AlloyDB - Feature: AlloyDB now supports the C4 machine series, which are powered by 6th generation Intel Xeon Granite Rapids processors. These instances offer massive machine sizes, with up to 288 vCPU and 2232 GiB RAM, that let you run extremely demanding workloads. For more information, see Choose an AlloyDB machine type. This feature is generally available (GA). Feature: You can now use Gemini to fix query errors in the AlloyDB Studio query editor. This feature is available in Preview.
Apigee API Hub - Feature: Model Context Protocol (MCP) support in API hub API hub now supports the Model Context Protocol (MCP) as a first-class API style. This enables you to ingest, register, and manage MCP APIs and their associated tools. Key capabilities include: MCP API registration: Register MCP APIs manually or via API hub APIs to create a single registry for your agentic services. MCP tools: Attach MCP specification files to your APIs. API hub parses these files to automatically extract and display the MCP tools in the UI. For more information, see API resources overview, Register MCP APIs, and Manage MCP tools. Note: Rollouts of this feature will begin today, and may take five or more business days to be completed across all Google Cloud zones. You may not be able to view or use this feature until the rollout is complete. Change: Actions tab changes The Actions tab previously located in the API hub > Settings page is now removed, accounting for the following UI changes: You can now find and configure add-on services like Specification Linter and Semantic Search under the new unified Add-on Management page, alongside other API hub add-ons. The deprovisioning function is now moved to a dedicated top-level tab called Deprovision. Feature: New add-on management page in API hub A new Add-on Management page is now available in API hub. This page serves as a centralized location to enable, configure, and manage all your add-on services. For more information, see Manage add-ons.
Cloud Architecture Center - Feature: (New guide) Generate podcasts from audio files: A high-level architecture for an application that uses AI to generate podcasts based on audio input. Feature: (New guide) Private connectivity for RAG-capable generative AI applications: Provides a reference architecture that you can use to help secure the network infrastructure for applications with retrieval-augmented generation (RAG). Feature: (New guide) Generate content for personalized marketing campaigns: A high-level generative AI architecture to produce content for personalized marketing campaigns. Feature: (New guide) Single-agent AI system using ADK and Cloud Run: Shows you how to build a single-agent AI system by using ADK and Cloud Run with Gemini and MCP. Feature: (New guide) Administer interactive learning: Design a single-agent AI system that assesses a user's knowledge on a specific topic and generates a personalized learning experience. Feature: (New guide) Automate data science workflows: Design a multi-agent AI system that automates complex data analytics and machine learning tasks.
BigQuery - Feature: You can now use the BigQuery remote MCP server to enable LLM agents to perform a range of data-related tasks. This feature is in Preview.
Bigtable - Feature: In the Google Cloud console, you can import data into Bigtable using the Dataflow job builder, a web interface for building and running Dataflow pipelines. This integration provides a pre-populated template to import data from Pub/Sub to Bigtable. You can also create a custom job to import data from other sources. For more information, see Import and export data.
Cloud Build - Change: In build config files, the mavenArtifacts field now supports the deployFolder field. You can use the deployFolder field to upload all Maven files in a folder to a specific Artifact Registry repository. For more information, see Upload all Maven files in a folder to an Artifact Registry repository.
Capacity Planner - Change: The Google Cloud console has been changed as follows: An Overview page for Capacity Planner has been added. You can use the Overview page to view data that summarizes the overall resource usage for a project, folder, or organization, including potential action items and the regional distribution of your resources. The data for the region distribution of your resources has been relocated: the doughnut charts have been replaced with a bar chart on the Overview page for Capacity Planner. For more information, see View usage and forecast data.
Chronicle Security Operations - Feature: Create new reference lists. You can still create new reference lists. This feature nullifies certain content in the release note from August 19, 2025, which specified that from October 2025, you would no longer be able to create new reference lists. Note: Because the reference list functionality is being phased out of the Google SecOps platform (see "Reference lists" in Feature deprecations ), we recommend that you use data tables to provide expanded functionality, instead of reference lists. Feature: N OF and OR syntax updates You can now use the N OF syntax and the or operator to write flexible and conditional logic within the condition section of your query. These features let you combine multiple conditions, reducing the overall complexity of your query syntax. For more information, see Use or in the condition section and Use N OF syntax with event variables.
Chronicle SOAR - Announcement: Release 6.3.70 is being rolled out to the first phase of regions as listed here. This release contains internal and customer bug fixes. Announcement: Release 6.3.69 is now available for all regions.
Cloud Composer - Feature: Database retention policy is now available in environments with Airflow 3, starting with composer-3-airflow-3.1.0-build.5. Fixed: Fixed an issue where the Copy button on the DAG details page in the Airflow UI was copying incorrect content. Change: New Airflow builds are available in Cloud Composer 3: composer-3-airflow-3.1.0-build.6 composer-3-airflow-2.10.5-build.23 (default) composer-3-airflow-2.9.3-build.43. Announcement: The dates for maintenance exclusions were changed from the dates announced earlier. All Cloud Composer environment's GKE clusters are now set up with maintenance exclusions from December 4, 2025 to January 2, 2026. For more information, see Maintenance exclusions. Fixed: Fixed an issue where composer.googleapis.com/environment/executor/open_slots and composer.googleapis.com/environment/executor/running_tasks were not available in environments with Airflow 3. Feature: Database retention policy is now available in environments with Airflow 3, starting with composer-3-airflow-3.1.0-build.5. This change is gradually rolled out in several releases and is available in the following regions in this release: europe-north1, us-west2, us-east1, europe-west3, asia-east2. Change: (Cloud Composer 3) The name format for network attachments created by Cloud Composer was modified to enhance uniqueness. This change applies only to newly created network attachments. Feature: (Cloud Composer 2) Cloud Composer's high availability infrastructure was enhanced to provide greater resilience against zonal outages. This feature was announced previously and has finished gradually rolling out to all regions supported by Cloud Composer. Change: (Airflow 3.1.0 and 2.10.5) The apache-airflow-providers-google package was upgraded to version 19.0.0 in Cloud Composer 2 images and Cloud Composer 3 builds. For more information about changes, see the apache-airflow-providers-google changelog from version 18.0.0 to version 19.0.0. Change: (Airflow 3.1.0 and 2.10.5) The apache-airflow-providers-cncf-kubernetes package was upgraded to version 10.9.0. For changes in other packages, see the preinstalled packages changelog.
Compute Engine - Feature: The memory-optimized X4 machine series offers additional bare metal machine types with 6 TB, 8 TB, and 12 TB of memory. For more information, see X4 machine series. Issue: Workloads on A4 VMs might experience interruptions due to a firmware issue for NVIDIA B200 GPUs. To help prevent the issue, we recommend resetting the GPUs on A4 VMs at least once every 60 days. For more information, see the known issue. Feature: Generally available: The general purpose C4 machine series now supports the following machine types on Intel's Xeon 6 processor (Granite Rapids): c4-standard-288-lssd-metal c4-highmem-288-lssd-metal To learn more, see the C4 machine series. For more information, see Machine types that automatically attach Local SSD disks and Bare metal instances on Compute Engine. Feature: Preview: VM Extension Manager lets you manage Compute Engine guest agent extensions on your virtual machines (VMs). You can use VM Extension Manager to install and manage extensions, such as Ops Agent and Agent for SAP, on your Compute Engine VMs at scale, without connecting to each VM. Use VM Extension Manager to create policies that install extensions on your VMs. You can install extensions based on a specific criteria, such as VM labels, for both existing and new VMs that match the criteria. VM Extension Manager automates the lifecycle of extensions across your entire fleet of VMs and monitors their health status while they are running. For more information, see the following: About VM Extension Manager Install VM extensions by creating extension policies Manage VM extensions by using extension policies
Contact Center AI Platform - Announcement: Mobile SDK version 2.15.1 patch The Mobile SDK version 2.15.1 patch adds the following updates to the Android SDK: Android 16 compatibility: Mobile SDK 2.15.1 is compatible with Android 16. Edge-to-edge screen support: Mobile SDK 2.15.1 supports edge-to-edge. No predictive back system animations: Mobile SDK 2.15.1 doesn't support predictive back system animations. We expect to support this Android 16 capability in a future release.
Dataform - Feature: Dataform offers enhanced IAM permissions, providing more granular control over resource creation and scheduling. Administrators can also enable private workspaces to restrict access to the workspace creator. These features are in preview.
Dataplex - Feature: Natural language search in Dataplex Universal Catalog is generally available ( GA ). Natural language search extends keyword search to support natural language queries. It lets you find resources using everyday language, eliminating the need for complex syntax.
Gemini - Issue: Known issue for the model selection feature in VS Code Gemini Code Assist The VS Code Gemini Code Assist model selection feature incorrectly appears for users of the free tier of Gemini Code Assist for individuals. The feature shouldn't appear for such users and does not function for them.
Cloud Logging - Change: The default setting for the time-range selector for the Logs Explorer is now five minutes. The previous default was one hour. Feature: You can now install and manage the Ops Agent on virtual machines in a specified zone by using VM Extension Manager extension policies. You can use extension policies to keep the installed version of the agent current, keep a specified version of the agent installed, and other tasks. For more information, see Install and manage the Ops Agent by using VM Extension Manager policies.
Migration Center - Announcement: The discovery client 6.3.10 is available with a bug fix. Fixed: Fixed a bug in the MCDC guest collection script.
Cloud Monitoring - Feature: You can now add a widget to a dashboard that lets you manage the settings for a variable. To learn more, see the following documents: Google Cloud console: Add widget to manage the value of a variable API: Dashboard with a FilterControl widget Feature: The Google Cloud CLI ( gcloud ) commands to manage Cloud Monitoring alerting policies are now generally available. For more information, see gcloud monitoring policies. Feature: You can now install and manage the Ops Agent on virtual machines in a specified zone by using VM Extension Manager extension policies. You can use extension policies to keep the installed version of the agent current, keep a specified version of the agent installed, and other tasks. For more information, see Install and manage the Ops Agent by using VM Extension Manager policies.
Cloud Interconnect - Feature: Partner Cross-Cloud Interconnect for Amazon Web Services (AWS) is available in Preview. Partner Cross-Cloud Interconnect for AWS provides an on-demand and reliable method for establishing cross-cloud transport, without having to manually set up networking components. This connectivity is represented as region-to-region transport with an SLA-protected, coordinated underlay built with AWS that can be set up on-demand, and sized up and down based on your needs. For more information, see Partner Cross-Cloud Interconnect for AWS overview. For available locations see Choose a paired location.
Cloud VPN - Feature: Cloud VPN provides predefined dashboards in the Google Cloud console for a quick, single-view insight into system health and tunnel performance. These dashboards display key metrics that enable you to monitor project-wide health and conduct tunnel-specific diagnosis without manual configuration. This feature is Generally Available. For more information, see View Monitoring dashboards
Network Intelligence Center - Feature: Connectivity Tests analyzes configurations that use geolocation objects in firewall policy rules.
Security Command Center - Feature: AI Protection is generally available ( GA ) in the Security Command Center Enterprise tier and is available as a Preview in the Security Command Center Premium tier.
Service Extensions - Feature: You can use Service Extensions to implement dynamic forwarding, which helps you map tenants to endpoints programmatically, without having to update your URL maps. This feature is in Preview.
Cloud Spanner - Feature: Spanner Data Boost now includes a new quota, Data Boost concurrent requests in milli-operations per second per region, which applies more fine-grained control over how multiple concurrent requests for your project share Data boost resources. Instead of counting 1 request against 1 unit of quota under the existing concurrency quota regime, Data Boost now splits a request at a granularity of 1/1000, allowing for a greater number of concurrent requests to make progress. For more information, see Quotas and limits. Feature: Spanner now supports the following new columns in the SPANNER_SYS oldest active queries table: CLIENT_IP_ADDRESS API_CLIENT_HEADER USER_AGENT_HEADER SERVER_REGION PRIORITY TRANSACTION_TYPE You can also view these columns in the Spanner query insights page on the Google Cloud console. For more information, see Monitor active queries.
Cloud SQL SQL Server - Feature: Cloud SQL for SQL Server integration with Microsoft Entra ID ( Preview ) provides centralized identity and access management (IAM) for your databases using your existing Microsoft Entra ID tenant.
Cloud Text-to-Speech - Feature: Chirp 3: HD voices now support speech synthesis in Preview for the Punjabi ( pa-IN ) language. For more information, see Chirp 3: Language Availability. Feature: The latest Gemini-2.5 TTS Flash ( gemini-2.5-flash-tts ) and Pro ( gemini-2.5-pro-tts ) are now available in global, us, eu, and northamerica-northeast1 regions. For more information on how to take advantage of the extended regional availability, see the Gemini TTS documentation page.
VPC Service Controls - Feature: Preview stage support for the following integration: Firebase App Hosting