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 securitygcppreviewengineer ·

    Cloud NGFW integrates WildFire for advanced malware protection

    Google Cloud NGFW now integrates with the WildFire service to provide advanced protection against unknown malware and file-based threats using sandboxing and machine learning. This feature is intended for network security engineers managing workloads on GCP. It is available in the Cloud Firewall Enterprise tier and is currently in Preview.

    feature
  • Google Cloud release notes securitygcpdeprecationengineer ·

    Google SecOps SIEM deprecates legacy APIs

    Google Security Operations is deprecating its legacy SIEM APIs, including the Backstory API and Ingestion API, in favor of the modern Chronicle API. This change affects custom scripts, integrations, SOAR connectors, or ingestion feeds that rely on these legacy endpoints. The deprecation will fully take effect with the complete shutdown of legacy APIs for all existing instances on July 20, 2027.

    deprecation
  • Google Cloud release notes securitygcpdeprecationengineer ·

    Google SecOps deprecates legacy SIEM APIs

    Google Security Operations is deprecating its legacy SIEM APIs, including the Backstory and Ingestion APIs, in favor of the modern Chronicle API. This change impacts custom scripts, integrations, and ingestion feeds that use these legacy endpoints. Full deprecation is scheduled for July 20, 2027, with new instances no longer supporting legacy calls from October 26, 2026.

    deprecation
  • Google Cloud Blog blogaigcpgapreviewengineerhealthcaregcp-bigquerygcp-cloud-storagegcp-vertex-ai ·

    BigQuery Enhances Unstructured Data Analysis with New Search Capabilities

    BigQuery has launched new features to simplify the process of extracting insights from unstructured data like PDFs, audio, and images. This aims to reduce the complexity of building AI-powered search and RAG pipelines by managing embedding generation and offering enhanced search functions. These updates are particularly beneficial for enterprises managing large volumes of diverse data, such as in the healthcare sector, and are now generally available or in public preview.

    feature patch
  • Google Cloud release notes networkinggcppreviewengineer ·

    Cloud Load Balancing: Reserve BYOIP IPv6 Addresses

    Cloud Load Balancing now allows reserving specific or auto-allocated bring-your-own-IP (BYOIP) IPv6 addresses for regional external passthrough Network Load Balancers. This feature ensures IPv6 addresses persist independently of the load balancer's lifecycle and allows promoting ephemeral BYOIP addresses to reserved static ones. The capability is currently in Preview, impacting engineers and architects managing network infrastructure.

    feature
  • Google Cloud Blog bloginfragcpengineergcp-cloud-rungcp-cloud-sqlgcp-cloud-storagegcp-spannergcp-firestore ·

    Cloud Run makes highly available, multi-region services easier

    Cloud Run now offers enhanced capabilities for multi-region high availability, including readiness probes and service health aggregation. These features automate failover within seconds during regional disruptions, reducing downtime for critical applications. This update benefits developers and architects deploying resilient workloads, especially for public-facing or private network applications, and is available at no additional cost in all Cloud Run regions.

    feature
  • Google Cloud Blog bloginfragaengineerautomotive ·

    Google Cloud C4A-metal accelerates automotive cockpit development with Panasonic vSkipGen

    Google Cloud's new C4A-metal bare-metal instances, powered by Axion Arm-based architecture, are now validated with Panasonic Automotive's vSkipGen virtualization platform. This integration enables automotive manufacturers to develop and test cockpit software, including Android Automotive OS, in a cloud-native environment, reducing reliance on physical prototypes and accelerating time-to-market. The solution provides high-performance graphics offloading and supports hardware-independent development for distributed teams.

    feature announcement
  • 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 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 infragcpengineergcp-compute-engine ·

    Compute Engine: Boot disk operations no longer require iam.serviceAccounts.actAs

    Compute Engine has removed the iam.serviceAccounts.actAs permission requirement for several operations on an instance's boot disk when a service account is attached. This change simplifies instance management by reducing necessary permissions for common disk operations. It impacts engineers and architects managing Compute Engine instances with attached service accounts. These changes are now generally available.

    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

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.