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 securitygcpengineer ·

    Google SecOps SOAR Release 6.3.94

    Google SecOps SOAR has released version 6.3.94, currently rolling out to initial regions. This update focuses on internal and customer bug fixes. Affected users should check the provided region list for availability.

    announcement
  • Google Cloud release notes securitygcpengineer ·

    Google SecOps SOAR 6.3.93 Release

    Google SecOps SOAR has released version 6.3.93, which is now available in all regions. This update brings improvements and fixes to the security orchestration, automation, and response platform. All users of Google SecOps SOAR can access this new version.

    announcement
  • Google Cloud release notes aigcppreviewengineer ·

    Document AI: Custom Extractor with Gemini 3.5 Flash LLM in Preview

    Google Cloud's Document AI now offers a custom extractor model, 'pretrained-foundation-model-v3.5-2026-05-26', powered by the Gemini 3.5 Flash LLM, available in Preview. This enhancement brings advanced ML processing capabilities to the US and EU regions. It is particularly relevant for engineers and architects working with document processing and AI workloads on Google Cloud.

    feature
  • Google Cloud release notes gcpengineergcp-looker ·

    Looker Now Supports Java OpenJDK 21

    Looker version 26.8 now officially supports Java OpenJDK 21, with Looker-hosted instances already upgraded. Customer-hosted instances must upgrade to this version and ensure specific Java settings are included if running directly via the java -jar command. This update enhances compatibility and performance for Looker deployments.

    feature
  • Google Cloud release notes governancegcpgaengineergcp-bigquery ·

    BigQuery Data Lineage Ingestion Control GA

    Data lineage ingestion control for BigQuery, Managed Service for Apache Spark, and Managed Service for Apache Airflow is now generally available. This feature allows control at the organization, folder, or project level, enhancing data governance for these services. Engineers and architects managing data pipelines on GCP can now leverage this GA capability for better oversight.

    feature
  • Google Cloud Blog blogaiengineer ·

    11 Principles for Token-Efficient AI Coding Assistants

    This guide presents eleven principles for optimizing token consumption with AI coding assistants like Gemini, aiming to reduce latency, improve accuracy, and control costs. By adopting structured habits and efficient prompting strategies, developers can maintain a faster, more precise feedback loop. These practices are relevant for all software engineers and architects using AI-powered development tools.

    announcement
  • Google Cloud release notes infragcpengineergcp-gke ·

    GKE Cluster Toolkit v1.97.0 Integrates Health Checks

    Cluster Toolkit v1.97.0 introduces integrated cluster health checks, support for static node counts from blueprints, and stricter validation for GKE node auto-provisioning accelerators. These updates enhance operational visibility and control for GKE users managing cluster configurations and resource allocation. The release is now available, with further details on GitHub.

    feature
  • Google Cloud release notes infragcppreview ·

    Batch Feature Instance flexibility available in preview

    Google Cloud Batch now offers Instance Flexibility in preview, allowing jobs to run on a range of specified machine types. This feature aims to improve job obtainability by increasing the probability of resource availability, potentially by leveraging Spot VMs. Developers can explore this enhancement by referring to the documentation on improving resource obtainability for jobs.

    feature
  • Google Cloud Blog blogaigcppreviewengineerretailgovernmentgcp-bigquerygcp-cloud-rungcp-pubsub ·

    Build AI Agents on GCP with Gemini Enterprise Agent Platform Demos

    Google has released 13 hands-on demos for its Gemini Enterprise Agent Platform, showcasing how to build, scale, govern, and optimize AI agents. These demos utilize the code-first ADK and offer practical patterns for enterprise development, from basic agent creation to complex, long-running, and multi-agent pipelines. Developers can leverage these examples to integrate with services like BigQuery and Cloud Run, with features for security, governance, and optimization built-in.

    feature announcement
  • Google Cloud Blog blogdatagcppreviewengineergcp-bigquery ·

    BigQuery introduces IAM data governance tags for column-level security

    BigQuery has released a preview of IAM data governance tags, a new method for column-level access control that improves upon existing policy tags. These tags offer global scope, automatic disaster recovery replication, hierarchical classification up to five levels deep, and decoupled governance for more flexibility. This feature is available to all BigQuery customers and is particularly beneficial for those managing complex data ecosystems and seeking to enhance their data protection strategies.

    feature announcement
  • Google Cloud release notes infrapreviewgcp-gke ·

    GKE Adds Reservation Affinity, N4D Machines, and VPA CPU Boost

    Google Kubernetes Engine now supports reservation affinity to prevent fallback to on-demand capacity and adds the N4D machine series for node pool auto-creation and Autopilot clusters. A new Vertical Pod Autoscaler feature offers CPU startup boost for improved latency and cost efficiency, currently in preview. These updates aim to enhance resource management and performance for GKE users, with the Filestore API enablement change scheduled for 2026.

    feature patch
  • 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 Blog blogaigcpengineerfinanceretailgovernmentautomotive ·

    Google recognized as leader in Conversational AI by Gartner

    Google has been named a leader in the Gartner Magic Quadrant for Conversational AI Platforms for the second consecutive year, receiving top marks for vision and execution. This recognition highlights Google's advancements in AI research and enterprise infrastructure, particularly with Gemini Enterprise for Customer Experience. The platform enables organizations to build sophisticated AI agents that can reason, act, and integrate across enterprise systems for improved customer interactions. The announcement emphasizes the capabilities of CX Agent Studio and its foundation on Google Cloud's AI stack, designed for production-ready AI deployments.

    announcement
  • Google Cloud release notes infragcppreviewengineer ·

    Apigee X Maintenance Updates and Version Rollout

    Apigee X instances on specific older versions (below 1-17-0-apigee-10) configured for maintenance windows will be updated starting July 16th, 2026. This update aims to ensure all instances receive the latest maintenance, though specific DNS or Java library configurations may prevent updates. Affected users will receive a notification with the exact upgrade date within two business days.

    announcement
  • 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

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.