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 832 GCP releases · Updated
- Google Cloud release notes aigcpgaengineer ·
Gemini Enterprise adds BYOID for mobile apps, rebrands NotebookLM
Gemini Enterprise is now generally available with Bring Your Own Identity (BYOID) support for mobile applications, allowing integration with third-party identity providers. Additionally, NotebookLM Enterprise has been renamed to Gemini Notebook Enterprise, though its functionality and APIs remain unchanged. These updates primarily affect organizations using Gemini Enterprise for mobile app development and those familiar with NotebookLM.
feature patch - Google Cloud release notes securitygcpsecurity-advisoryengineer ·
Container Optimized OS Updates Address Security and Memory Errors
This update to Container Optimized OS includes several security fixes for CVEs in systemd and the Linux kernel, alongside a feature that enhances memory error handling for CUDA workloads on ARM64. It also contains patches for Docker and GPU drivers. Users running CUDA on ARM64 may see improved stability, and all users benefit from the security remediations.
security feature patch - Google Cloud release notes securitygcpgaarchitect ·
Cloud KMS adds post-quantum cryptography signing algorithms
Google Cloud Key Management Service (KMS) has added support for several post-quantum cryptography (PQC) signing algorithms, making them generally available. This enhancement aims to bolster security against future quantum computing threats, impacting users concerned with long-term cryptographic resilience. The new algorithms include various PQ_SIGN_HASH_SLH_DSA_SHA2_128S_SHA256 and ML_DSA variants, detailed in the provided documentation.
feature - Google Cloud Blog blogaiinfragcpengineergovernmentgcp-gkegcp-cloud-storage ·
GKE Blueprint for Enterprise AI Workload Security
Google Kubernetes Engine (GKE) now offers a blueprint to secure enterprise AI workloads by integrating controls across multiple Google Cloud services and GKE features. This blueprint addresses infrastructure, model, and application security layers, aiming to protect proprietary models and comply with regulations without hindering developer velocity. It is available for platform engineering teams and CISOs managing AI deployments on GKE.
announcement feature - Google Cloud Blog blogaigcpengineer ·
Accelerate Foundation Model Upgrades with Agentic Workflows
Google Cloud's Applied ML team developed an agentic workflow to upgrade foundation models in hours, drastically reducing the months-long manual process typically required. This approach, outlined in a blog post, leverages Gemini Enterprise Agent Platform and Google Antigravity to offer flexibility and adaptability over rigid automation. Engineering teams managing AI model updates can apply these lessons to improve their own migration pipelines, impacting developers and architects working with AI models.
announcement feature - Google Cloud release notes securitygcppreview ·
Secret Manager adds Feature Parameter templates in Preview
Google Cloud Secret Manager now offers Feature Parameter templates in Preview. This capability allows users to create standardized configuration blueprints and securely inject environment-specific variables during deployment. The feature is currently available in preview, with more details in the parameter templates overview.
feature - Google Cloud Blog blogaisecuritygcpengineergovernmentgcp-gke ·
Google Cloud AI Threat Defense Combats AI-Driven Cyberattacks
Google Cloud introduces AI Threat Defense, a unified platform leveraging Gemini, Wiz, CodeMender, and Mandiant to counter AI-powered cyberattacks. This new framework aims to provide defenders with a speed and context advantage over attackers who are increasingly using AI for zero-day exploits and rapid multi-agent attacks. The platform assists organizations in preparing, scanning, prioritizing, remediating, and monitoring threats across their software development lifecycle. It's designed for security engineers and architects managing cloud environments.
feature announcement - Google Cloud Blog blogaigcpengineermedia ·
Google's AI agents collaborate to create short films
Google experimented with teams of AI agents collaborating to produce short films, uncovering insights into inter-agent teamwork in creative domains. Agents with distinct roles like Idea Person, Technical Lead, and Editor worked within Scion, an open-source orchestration testbed. This hackathon demonstrated how AI agents can manage complex, multi-step projects with verification gates, producing over 25 films using models like Gemini and Veo.
announcement feature - Google Cloud release notes datagcpengineer ·
AlloyDB for PostgreSQL: Backup Plan and On-Demand Backup Enhancements
AlloyDB for PostgreSQL now allows users to change the backup plan for existing clusters and take on-demand backups with custom retention. These features offer greater flexibility and control over data protection strategies for AlloyDB users. The changes are available for all AlloyDB for PostgreSQL clusters, with documentation provided for both functionalities.
feature - Google Cloud release notes datagcpgaengineer ·
Oracle Database@Google Cloud adds Autonomous AI Database cloning
Oracle Database@Google Cloud now supports cloning for Autonomous AI Databases, allowing users to create full, metadata, and refreshable clones via Google Cloud CLI and API. This enhancement improves database management flexibility for users of this integrated offering. The feature is now Generally Available.
feature - Google Cloud release notes securitygcppreviewengineer ·
Google SecOps SIEM adds advanced dashboard filtering (public preview)
Google SecOps SIEM is rolling out advanced filtering capabilities for dashboards. This feature allows security analysts to dynamically inject values, regular expressions, or boolean logic into YARA-L queries using query variables, enhancing dashboard flexibility. The capability is currently in public preview and requires understanding of YARA-L query syntax.
feature - Google Cloud release notes datagcppreviewengineergcp-bigquery ·
BigQuery Adds Support for Data Governance Tags
BigQuery now supports data governance tags for enforcing column-level security and data masking. These tags, a type of Resource Manager tag, can be attached to sensitive columns and used in BigQuery data policies to manage conditional access. This new capability is currently in preview and aims to enhance data security for organizations.
feature - Google Cloud release notes securitygcppreviewengineer ·
Google SecOps adds advanced dashboard filtering in preview
Google SecOps is introducing advanced filtering capabilities for dashboards, currently in preview. This feature allows security analysts to dynamically inject values and complex logic into YARA-L queries using tokens, improving query flexibility and runtime analysis. It enables multi-select options and customizable wrappers, providing enhanced control over dashboard data exploration for security teams.
feature - Google Cloud release notes infragcppreviewengineergcp-compute-engine ·
Compute Engine C4N machine series preview
Google Cloud is previewing the network-optimized C4N machine series for Compute Engine. This new series features machine types with significant attached Titanium SSD storage, suitable for data-intensive workloads. Requesting preview access is required to use these machine types with Local SSD disks.
feature - Google Cloud release notes aigaengineer ·
Gemini Enterprise Agent Platform: Feature Memory Bank GA
Gemini Enterprise Agent Platform's Feature Memory Bank now offers generally available memory profiles. These profiles enable agents to access structured, LLM-populated data with static schemas, providing low-latency access to evolving information without costly search operations during a session. This feature is now available for all users.
feature - Google Cloud release notes aipreview ·
Gemini Enterprise adds Jira Data Center action filtering
Gemini Enterprise now supports action-filtering for Jira Data Center federated data stores, allowing specification of accessible Jira projects. This enhancement aims to control data access during search queries and action execution, preventing out-of-scope data operations. The feature is currently in Public Preview and applies to users configuring Jira Data Center data stores.
feature - Google Cloud release notes aigcpengineer ·
Agent Platform Workbench Image Releases
New Agent Platform Workbench image releases are available, including version 20260622-2130-rc0 based on Debian 12 and M143 based on Debian 11. The Debian 12 release fixes an issue where a duplicate Python kernel appeared in the launcher, while both releases incorporate updated upstream dependencies. These updates are for users of the Agent Platform Workbench.
feature - Google Cloud release notes datainfragcpgcp-dataproc ·
Agent Platform Workbench updates package dependencies and fixes kernel issue
Agent Platform Workbench has released an update (20260624-1604-rc0) that includes the latest packages from upstream dependencies. This release fixes an issue where notebook kernels could become unavailable if the Dataproc plugin failed to load. The update is now available for Workbench instances running Debian 12 and is intended for engineers and architects working with Dataproc.
feature - Google Cloud release notes aigcppreviewengineer ·
Agent Platform Workbench image release 20260628-2130-rc0
A new Agent Platform Workbench image release, version 20260628-2130-rc0, is now available. This release updates upstream dependencies and includes TensorFlow and PyTorch packages in the default kernel. The update is relevant for users managing and utilizing the Agent Platform Workbench.
feature - Google Cloud release notes aigcpengineer ·
Agent Platform Workbench Image Releases
Two image releases for Agent Platform Workbench are now available: 20260712-2130-rc0 for Debian 12 and M144 for Debian 11. The Debian 12 release includes updated upstream packages and fixes for cupy installation, while the Debian 11 release also updates packages and resolves a JupyterLab reachability issue on GPU instances.
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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.
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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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