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 Blog bloggovernancegcppreviewengineergovernmentgcp-cloud-sql ·
AlloyDB adds IAM group authentication for enterprise-scale access and AI agents
AlloyDB for PostgreSQL now supports IAM group authentication in preview, simplifying enterprise-scale database access control and enhancing security for AI agents. This feature allows administrators to manage database permissions via Google Groups, reducing the complexity of provisioning and auditing individual user accounts, and providing a unified security model with Cloud SQL. The capability is aimed at engineers and architects managing large-scale database deployments and increasingly complex AI agent interactions.
feature announcement - 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 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 Blog bloggcppreviewanalystgcp-looker ·
Looker Agentic Workflows Automate Monitoring and Root Cause Analysis
Google Cloud's Looker is introducing Agentic Workflows, a new preview capability that automates data metric monitoring and root-cause analysis using intelligent agents. This feature transforms natural language requests into automated monitoring routines, providing diagnostic summaries via Slack or email to help analysts quickly understand metric changes. Available now in preview for Looker version 26.08 and later, it allows business users to create and manage workflows with administrator oversight.
feature announcement - 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 blogsecuritygcpgapreviewengineergovernment ·
Cloud KMS adds quantum-safe digital signatures and post-quantum key encapsulation
Google Cloud Key Management Service (Cloud KMS) now offers general availability for quantum-safe digital signatures (ML-DSA, SLH-DSA) and post-quantum key encapsulation (ML-KEM) to protect data integrity against future quantum computers. This update addresses the challenge of signing large data payloads efficiently and supports compliance with evolving regulatory mandates. The new capabilities are available now for all Cloud KMS users.
feature 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 Blog blogdataawsazuregcpgapreviewengineerfinanceenergyautomotivegcp-bigquery ·
SAP Business Data Cloud Connect for BigQuery Now Generally Available
SAP and Google Cloud announced the general availability of SAP Business Data Cloud Connect for BigQuery, enabling zero-copy data access between SAP Business Data Cloud and BigQuery. This integration reduces data silos and accelerates analytics and AI by making current, semantically rich data available across both environments. The solution allows organizations to ground AI agents in operational reality and is now available for general use.
feature announcement - 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 Blog bloggcpengineergovernment ·
NOAA Selects Google Cloud for Supercomputing Infrastructure
NOAA has chosen Google Cloud as its primary provider for the Weather and Climate Operational Supercomputing System (WCOSS), marking a significant shift to a cloud-first infrastructure. This collaboration aims to enhance weather and climate modeling by leveraging Google Cloud's High-Performance Computing (HPC) capabilities, specifically H4D VMs, to improve the speed, scale, and reliability of weather predictions. This move enables NOAA meteorologists and researchers to adapt future modeling innovations more effectively and positions the United States to lead in global weather modeling.
announcement 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 - Google Cloud Blog blogaigcpdeprecationengineerretailgcp-bigquerygcp-looker ·
Open Knowledge Format v0.2 enhances agentic trust and provenance
The Open Knowledge Format (OKF) has been updated to version 0.2, introducing new frontmatter fields to address concerns about agent-generated content trustworthiness. These additions enable consumers to assess provenance, trust, freshness, lifecycle, and attestation of knowledge assets. This release is particularly relevant for systems where agents continuously generate and consume knowledge, allowing for explicit signals to build accountability. The updates are optional and do not change the core format, maintaining compatibility with v0.1.
feature announcement - Google Cloud Blog blogsecuritygovernment ·
Google Threat Intelligence adopts unified threat actor naming system
Google Threat Intelligence Group (GTIG) is implementing a new, unified naming system for tracking threat actors, moving from historically separate schemas used by Mandiant and TAG. This cryptonym-based approach uses two-word combinations, with the second word categorizing actors by motivation or activity, aiming to provide defenders with better context and intuition for faster response. The system is being rolled out incrementally, with previous names remaining indexed and searchable on the GTI platform.
announcement - Google Cloud Blog bloginfragcpgaengineergcp-cloud-storage ·
Checkout.com Migrates to Managed Airflow on Google Cloud
Checkout.com successfully migrated its self-managed Apache Airflow to Google Cloud's Managed Service for Apache Airflow (Gen 3), significantly reducing operational overhead and improving scalability. This move addressed challenges like complex dependency management, slow DAG sync times, and manual scaling by leveraging the managed service's features. The migration resulted in enhanced reliability through DAG isolation, cost savings estimated at 30%, and faster developer workflows, including AI-powered troubleshooting with Gemini Cloud Assist.
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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.
How can I get alerts for new GCP releases? ›
Set up a free email or Slack alert filtered to GCP, subscribe to the weekly digest, or follow the RSS feed. Teams can also install the ReleaseBytes GitHub App or connect via MCP.
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.