GCP Releases
Google Cloud releases and Terraform Google provider. New features, breaking changes, security advisories and deprecations - each summarised in plain English and updated continuously.
Tracking 819 GCP releases · Updated
- Google Cloud Blog blogaigcpgaengineerhealthcaremediaenergygcp-bigquerygcp-gkegcp-cloud-sqlgcp-cloud-storagegcp-dataflow ·
Google Cloud AI Infrastructure and Orchestration Updates - July 2026
Google Cloud is enhancing its AI infrastructure and orchestration capabilities with several new product updates and features, including GA availability for Managed Lustre, C4N VMs, and GKE Dataplane V2 scaling. These updates aim to support the growing demands of AI and agentic workloads, offering improved performance, scalability, and security for developers and enterprises. The announcements include new security tools, practitioner guides, and research reports, all designed to help users leverage Google Cloud's AI capabilities more effectively and efficiently. This monthly update covers a range of AI-related services and tools designed for rapid innovation and cost optimization.
feature patch announcement - Google Cloud Blog blogaisecuritygovernancepreviewarchitectgovernmentgcp-cloud-rungcp-cloud-functions ·
Google Cloud CISO Perspectives: AI Threat Defense for Boards
This article discusses the evolving role of AI threat defense, emphasizing its importance for boardroom security governance and business agility. It highlights how organizations can transition from manual, reactive security to an automated, AI-native capability. The piece is targeted at board members, CISOs, and business leaders needing to understand AI security strategies and governance frameworks. It introduces Google's AI Threat Defense (AITD) concept and outlines five key areas for inquiry regarding AI security.
announcement - Google Cloud release notes aigcpgapreviewengineergcp-bigquerygcp-looker ·
Cortex Framework v7 GA with modular architecture, Dataform, and AI features
Google Cloud Cortex Framework version 7 is now generally available, introducing a modular deployment, simplified data orchestration with Dataform, and AI-ready data products. This release enhances capabilities for building and deploying data assets and pipelines for advanced analytics and agentic use cases. Key improvements include agentic data product builder skills, Knowledge Catalog integration, expanded SAP data product support, and new solution samples. The update also brings enhanced observability and telemetry, with an opt-out option for the latter.
feature patch announcement - Google Cloud release notes aigcppreviewengineer ·
Bigtable integrates with LMCache for LLM KV caching
Google Cloud Bigtable can now serve as a remote storage backend for LMCache. This allows multiple AI serving instances to share and reuse precomputed attention tensors for LLM key-value caches, reducing compute overhead and improving time-to-first-token for repeated prompts. The feature is currently in Preview and intended for users running AI serving workloads.
feature - Google Cloud Blog blogaiinfragcpengineergcp-gkegcp-compute-engine ·
GKE Optimizations Reduce AI Agent Compute Costs Up To 75%
Google Kubernetes Engine (GKE) offers new optimizations to significantly reduce the cost of running AI agent workloads by improving compute density. By leveraging GKE Agent Sandbox and Pod snapshots, engineers can pack more agents onto existing nodes and release resources from idle agents, enabling up to 3.5x greater density and cost reductions of up to 75% per agent. This is particularly beneficial for platform engineering teams scaling agentic applications, with advanced options for balancing cost savings against performance requirements.
feature patch - Google Cloud Blog blogaisecuritygcpengineerfinanceretaileducationgovernmentenergyautomotive ·
GCP Security Blog: Trends in Open Source Software Supply Chain Compromise
Google Threat Intelligence Group (GTIG) is tracking an increase in threat actors targeting open source software repositories for supply chain compromises, with significant campaigns observed in 2025 and early 2026. These attacks leverage compromised code repositories, dependencies, and developer tools, offering attackers efficiency and scale. The blog post provides mitigation and hardening recommendations based on GTIG's observations, highlighting the impact across various industries and countries, with a particular focus on how AI is likely to accelerate these threats.
announcement - Google Cloud release notes aigcppreviewengineergcp-looker ·
Looker previews verified queries for AI data agent
Looker is now available in preview with verified queries, which are predefined pairs of natural language questions and their corresponding Looker Explore queries. This feature teaches your data agent how to handle complex business requests accurately, reducing guesswork. A Looker admin must enable the Verified Queries and Conversational Analytics settings to use this functionality.
feature - Google Cloud Blog blogaiawsazuregcpdatabrickssnowflakepreviewengineergcp-bigquerygcp-cloud-storagegcp-spanner ·
Google Cloud Announces Borderless Lakehouse for Cross-Cloud Data Access
Google Cloud is enhancing its "borderless Lakehouse" architecture, built on Apache Iceberg, to enable AI agents and Gemini Enterprise to query data across AWS, Databricks, and Snowflake without moving it. This initiative introduces catalog federation and zero-copy integrations, offering zero-copy cross-cloud analytics, bidirectional interoperability, and unified governance to developers and architects. The new capabilities, including Cross-Cloud Interconnects and intelligent caching, aim to reduce data transfer costs and latency for in-place AI and ML workloads, with preview availability for key federation features.
feature - Google Cloud Blog blogaigcpengineer ·
Automate agent development lifecycle with Gemini Enterprise Agent Platform
Google Cloud's Gemini Enterprise Agent Platform introduces Agents CLI skills to streamline the development lifecycle of AI agents, moving them from prototype to production. This new toolset allows developers to manage agent creation, deployment, and evaluation within a single coding agent environment, reducing context switching and friction. The platform is demonstrated through the creation of an "Industry Watch" agent designed to analyze semiconductor stock disclosures and news, enabling more robust and reliable AI applications. This approach aims to solve the common problem of AI projects stalling in the prototype phase.
feature announcement - Google Cloud Blog blogaigcpgaengineerhealthcare ·
Gemini Enterprise Agent Platform enhances agent capabilities and security
Google Cloud has expanded Gemini Enterprise Agent Platform with new features for agent runtime, memory, security, and observability. These updates aim to help businesses build, secure, and scale AI agents more effectively by enabling longer-running tasks, structured context retention, enhanced identity management, and centralized governance. The enhancements are now generally available to all users, offering improved automation and security for enterprise AI deployments.
feature - Google Cloud release notes aiga ·
Gemini Enterprise adds Microsoft Teams federated connector
Gemini Enterprise has achieved general availability for its Microsoft Teams federated connector. This integration allows users to query Teams data, including channels, chats, and messages, and perform supported actions directly within Gemini Enterprise. The connector is now available for all Gemini Enterprise users.
feature - Google Cloud Blog blogaiawsgcpgapreviewengineermediagcp-bigquerygcp-cloud-sqlgcp-spannergcp-looker ·
Google Cloud Conversational Analytics expands across data ecosystem
Google Cloud's Conversational Analytics, which leverages generative AI for data interaction, is now generally available for BigQuery and Looker, with preview availability for AlloyDB, Cloud SQL, and Spanner. This expansion allows querying data across multi-cloud and database workloads with enhanced enterprise security, governance, and integration capabilities. It aims to provide proactive insights and flexible developer integration for data practitioners and business teams.
feature patch announcement - Google Cloud Blog blogaigcppreviewengineergovernmentgcp-cloud-run ·
Google Cloud adds AI cost controls: anomaly detection and spend caps
Google Cloud is introducing two new native features in the Billing console to help manage generative AI costs: early anomaly detection on AI services and spend caps on Budgets. These tools allow users to proactively identify unusual AI spending trends and enforce financial limits, mitigating the risk of unexpected cost spikes. The features are currently in Public Preview, with early anomaly detection supporting services like Gemini API and Cloud Run, and Spend Caps applying to specific projects and services.
feature announcement - Google Cloud Blog blogaigcpengineerretailgcp-bigquery ·
Google Cloud Workforce Identity Federation streamlines AI access
Best Buy has adopted Google Cloud's Workforce Identity Federation to allow developers to access cloud resources using their existing Microsoft Entra ID credentials. This move significantly reduces security risks and administrative overhead associated with managing service account keys, enabling more scalable AI and analytics workloads. The solution is now available to all organizations, including those with online billing accounts, and simplifies integration with identity providers like Ping Identity.
feature announcement - Google Cloud release notes aigcpengineer ·
Backup and DR integrates with AI assistants via Model Context Protocol
Backup and DR Service now supports the Model Context Protocol (MCP) for AI assistant integration, allowing natural language prompts to automate backup tasks. This feature benefits engineers and architects managing backup environments by simplifying operations with tools like Gemini CLI, ChatGPT, and Claude. Comprehensive documentation is available, detailing MCP server usage and reference specifications.
feature - Google Cloud release notes aisecuritygcppreviewarchitect ·
Security Command Center adds AI Protection for Premium tier
Google Cloud Security Command Center Premium now offers AI Protection at the project level. This enhancement provides access to an AI security dashboard, AI threat detection, and AI vulnerability findings. It is available for Security Command Center Premium tier users and is configured at the project level.
feature - Google Cloud release notes aigaengineer ·
Gemini Enterprise: Transparent thinking GA
Gemini Enterprise's transparent thinking feature is now generally available. This feature shows the assistant's real-time reasoning and tool usage before providing an answer, improving perceived latency and user understanding. It is available now to all Gemini Enterprise users.
feature - Google Cloud Blog blogaisecuritygcpengineergovernment ·
Google Cloud Cyber Snapshot Report: Building Enterprise Resilience
Google Cloud's latest Defender's Advantage report emphasizes shifting from prevention to resilience, anticipating and containing breaches rather than solely focusing on blocking them. It highlights that human and systemic failures, alongside exploits and voice phishing, remain common entry points for attacks. The report advises hardening architectures, securing extended digital footprints, and fostering human readiness through immersive learning to manage crises effectively. This latest issue addresses the growing threat of AI-assisted exploit development.
announcement - Google Cloud release notes aigcppreviewengineermedia ·
Agent Registry: Standalone Skill Governance in Preview
Google Cloud's Agent Registry now offers standalone skill governance in preview, enabling secure, enterprise-grade management of AI agent skills. This feature allows for skill registration, versioning, publisher verification, and access policy enforcement. It's beneficial for organizations building complex AI agents that require robust control over their constituent skills and is available to engineers and architects working with AI agent development on Google Cloud.
feature - Google Cloud Blog blogaiawsazuregcpgapreviewengineerfinanceretailmediagovernmentgcp-bigquerygcp-cloud-rungcp-gkegcp-cloud-storagegcp-vertex-ai ·
Google Cloud AI and AI Agent Updates: June Recap
Google Cloud has released several updates focusing on building, scaling, and securing AI, including a new Open Knowledge Format for LLMs and expanded agentic development capabilities. These advancements aim to help organizations run smarter, more secure applications and improve product discovery. The updates are now available, with new models and tools accessible to various customer segments.
feature announcement
About GCP release tracking on ReleaseBytes
Google Cloud publishes release notes per product — BigQuery, GKE, Cloud Run, Cloud SQL, Vertex AI and dozens more — which makes platform-wide awareness hard. ReleaseBytes aggregates the official GCP release notes and the Terraform Google provider changelog into a single feed, with a plain-English summary of each update and tags for breaking changes, deprecations and security fixes.
Frequently asked questions
How often are GCP release notes updated on ReleaseBytes? ›
Continuously. ReleaseBytes monitors the official GCP release channels around the clock and publishes a plain-English summary of each announcement shortly after it lands.
What kinds of GCP changes does ReleaseBytes track? ›
New features, enhancements, bug fixes, security advisories, breaking changes, deprecations and end-of-life announcements. Every item is tagged by type so you can filter to just the changes that need action.
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Where does the GCP release data come from? ›
From the official sources: Google Cloud releases and Terraform Google provider. Every item links back to the original vendor announcement.