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 829 GCP releases · Updated
- Google Cloud release notes infragcpengineer ·
Artifact Registry Connector repositories proxy upstream sources
Artifact Registry now offers Feature Connector repositories that act as proxies for upstream sources, without caching artifacts. This enhances auditability and supports environments with strict third-party policies against caching. The feature is detailed in the Connector repositories overview documentation.
feature - Google Cloud release notes aigcpga ·
Gemini Enterprise Agent Platform adds Claude Opus 5
Gemini Enterprise Agent Platform now supports Anthropic's Claude Opus 5, enhancing its capabilities with advanced large language model features. This integration allows developers to leverage a more powerful model within their agent applications. Claude Opus 5 is available for use immediately.
feature - Google Cloud release notes networkinggcpgaengineer ·
Cloud Service Mesh Envoy Compressor Filter GA
The Envoy Compressor Filter for Cloud Service Mesh is now Generally Available in the stable release channel. This feature enhances network performance by enabling compression for service mesh traffic. It is now available for all users operating in the stable release channel.
feature - Google Cloud release notes datainfragcpengineergcp-cloud-sql ·
Cloud SQL for PostgreSQL: Enhanced Disaster Recovery with Logical Replication
Cloud SQL for PostgreSQL now supports logical replication using failover slots, enabling advanced disaster recovery and replica failover operations for business continuity. This feature provides robust mechanisms to ensure data availability and resilience. It is available for users requiring enhanced DR capabilities for their PostgreSQL instances.
feature - Google Cloud release notes aigaengineer ·
Gemini Enterprise: Document and presentation creation in Canvas now GA
Gemini Enterprise's Canvas assistant, used for creating and editing AI-generated documents and presentations, is now generally available. This feature allows users to generate content directly from chats and export it to various formats. Administrators must enable the 'Enable canvas' toggle for users to access it.
feature - 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 release notes infragcpengineergcp-compute-engine ·
GCP Compute Engine MIG Instance Distribution Monitoring
GCP Compute Engine now offers a Cloud Monitoring dashboard for Managed Instance Groups (MIGs) to observe real-time VM distribution across zones and machine types. This enhanced visibility aids in monitoring capacity allocation and diagnosing runtime fallback behavior, especially for groups utilizing location and instance flexibility. The feature is available now for users managing MIGs.
feature - Google Cloud release notes governancegcpengineergcp-firestore ·
Manage Firestore Security Rules in Google Cloud Console
Google Cloud console now supports viewing, managing, and deploying Firestore Security Rules for Native mode. This feature allows users to create new rulesets and manage existing ones from the timeline. This enhancement is available for Firestore Standard and Enterprise editions.
feature - Google Cloud release notes aigcppreviewengineer ·
Cloud Location Finder integrates with Model Context Protocol in GCP Preview
Google Cloud's Cloud Location Finder now offers a built-in integration with the Model Context Protocol (MCP), currently available in Preview. This integration allows LLM-powered agents to securely access data through standard MCP tools like search and list cloud locations. This feature enables more robust and secure data retrieval for AI agents operating within the Google Cloud environment.
feature - Google Cloud release notes aigcpgaengineergcp-vertex-ai ·
Vertex AI Search: Lower configurable pricing thresholds
Users can now decrease storage size and queries per minute (QPM) subscription thresholds for Vertex AI Search's configurable pricing. This change, which takes effect at the start of the next billing cycle, offers more flexibility for cost management. The feature is now generally available and impacts users managing custom pricing for search applications.
feature - Google Cloud release notes networkinggcpgaengineer ·
Cloud Router: Named BGP route policies now GA
Cloud Router's support for named sets in BGP route policies has reached general availability. This enhancement allows for more flexible and manageable configuration of BGP route policies. The feature is now production-ready for all users.
feature - Google Cloud release notes gcppreviewengineer ·
AlloyDB for PostgreSQL: Transparent Query Forwarding in Preview
Transparent query forwarding is now available in Preview for AlloyDB for PostgreSQL clusters compatible with PostgreSQL 17 and 18. This feature allows the primary node to intercept read-only queries and forward them to read pool instances, ensuring read-your-writes consistency. This enhancement helps optimize resource utilization and isolate read queries for users running compatible PostgreSQL versions.
feature - 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.
feature patch - Google Cloud Blog blogaiinfragcpengineer ·
GCP Introduces llm-d for Efficient RL Job Interleaving on Accelerators
Google Cloud has introduced llm-d, a new project designed to improve the efficiency of reinforcement learning (RL) jobs for large language models. By enabling co-operative time-slicing, llm-d interleaves independent RL jobs onto shared hardware, significantly increasing accelerator utilization from approximately 40% to 70% without impacting model convergence. This solution addresses critical infrastructure bottlenecks in distributed RL, benefiting teams pushing the boundaries of AI research and development by reducing wasted compute and lowering total cost of ownership. The system is designed to optimize both synchronous and asynchronous RL workloads.
feature announcement - Google Cloud Blog blogaigcpengineerhealthcaregcp-vertex-ai ·
Voicify leverages Google Cloud's Gemini and Vertex AI for AI-enabled ordering
Voicify has enhanced its AI-powered voice ordering system by integrating Google Cloud's Gemini Flash and Vertex AI, addressing challenges like transactional precision, traffic spikes, and latency. This migration provides enterprise-grade reliability and security, particularly beneficial for their healthcare and restaurant clients. The solution improves efficiency, reduces onboarding time, and ensures consistent service during peak usage.
feature announcement - Google Cloud Blog blogaigcpengineergcp-bigquerygcp-spanner ·
Google Cloud's Agentic Data Cloud for Scalable AI
Google Cloud introduced its Agentic Data Cloud at Next 2026, aiming to bridge the gap between AI model capabilities and enterprise data context. This new approach unifies data, AI models, and operational databases, addressing infrastructure limitations that hinder AI scalability and operational efficiency. It leverages native engines like BigQuery and Spanner to provide agents with seamless, low-latency access to fragmented data sources, reducing manual effort and enabling trust through enriched context and real-time data access.
feature announcement - Google Cloud Blog blogdatagcpengineergcp-cloud-storagegcp-composer ·
Checkout.com Migrates to Managed Airflow on GCP for Reliability and Cost Savings
Checkout.com has migrated its self-managed Apache Airflow to Google Cloud's Managed Service for Apache Airflow (Gen 3). This move significantly reduced operational overhead, improved reliability, and cut costs by an estimated 30% through dynamic scaling. Data engineers now benefit from faster development cycles and simplified dependency management, with new capabilities like AI-powered troubleshooting using Gemini Cloud Assist. The migration affects data engineering teams previously managing self-hosted Airflow environments.
feature announcement - Google Cloud release notes securityazuregcpengineer ·
Google SecOps Marketplace Adds Features and Updates Integrations
Google SecOps Marketplace Version 14.0 introduces a new 'Get Blue Agent Analysis' action and updates several existing connectors. Version 5.0 of Azure Monitor updates integration documentation, while QRadar Version 69.0 enhances timestamp filtering. Jira Version 60.0 adds new filtering options, and Google Chronicle Version 90.0 improves detection handling. These updates benefit security operations teams and engineers managing integrations with these platforms.
feature patch - Google Cloud release notes infragcpengineer ·
Apigee hybrid: Configure runtime rollout strategy
Apigee hybrid now allows configuration of the runtime (message processor) ReplicaSet update rollout strategy. This provides control over update deployments, defaulting to 'rolling' which is suitable for most use cases. Engineers managing hybrid deployments can now specify strategies like 'scale-down-first' or 'none' for finer-grained control.
feature - Google Cloud release notes securityinfragcpsecurity-advisoryengineer ·
Container Optimized OS Updates Address Security Vulnerabilities and Bugs
Several updates have been released for Container Optimized OS (COS) addressing multiple security vulnerabilities across glib, Python, wget, and the Linux kernel. These updates also include fixes for a bug in the XFS file system and upgraded versions of Docker and containerd. The changes are available for various COS versions and are relevant to users running containerized workloads on Google Cloud.
security patch
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.
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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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