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 securitygcpdeprecationengineergcp-compute-engine ·

    Compute Engine deprecates customer-supplied encryption keys

    Google Compute Engine is deprecating the use of customer-supplied encryption keys (CSEKs) for disks, snapshots, images, and machine images. This change will be effective on July 20, 2027, impacting users who rely on CSEKs for encryption. Alternatives and further details are available in the official documentation.

    deprecation
  • Google Cloud release notes datainfragcpgcp-cloud-storage ·

    Cloud Storage Lifecycle Management Adds Size Conditions

    Cloud Storage now supports size conditions for object lifecycle management, allowing users to specify minimum and maximum size thresholds for lifecycle actions. This enhancement enables more granular control over object storage costs and data management policies. The feature is available for all Cloud Storage users.

    feature
  • Google Cloud release notes governancegcpdeprecationengineergcp-gke ·

    GKE deprecates vulkan-tools on Ubuntu nodes

    Google Kubernetes Engine is deprecating the pre-installation of vulkan-tools on Ubuntu node images starting with GKE version 1.37. This change aims to improve security by reducing the attack surface on host nodes. Users running Vulkan diagnostic tools directly on GKE Ubuntu hosts will need to manually install this package, but containerized GPU/Vulkan workloads are unaffected.

    deprecation
  • Google Cloud release notes infragcpdeprecationengineer ·

    Managed Service for Apache Airflow Updates and Deprecations

    Google Cloud's Managed Service for Apache Airflow has begun rolling out a new release, introducing Airflow 3.1.8 for Gen 3 and updated provider packages. This release fixes a UI issue for tasks in non-terminal states and deprecates several older versions, impacting users who need to stay on supported Airflow and Composer builds. The rollout is ongoing, with features potentially not yet available in all regions.

    deprecation feature patch announcement
  • 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 release notes networkinggcppreview ·

    GCP VPC: Preview for reserved static IPv6 addresses from BYOIP

    Google Cloud Virtual Private Cloud (VPC) is now in preview for reserving static external IPv6 addresses sourced from Bring Your Own IP addresses (BYOIP) sub-prefixes. This allows assignment to forwarding rules for external passthrough Network Load Balancers and external protocol forwarding, and enables promoting ephemeral BYOIP addresses to static. The feature is available for users with BYOIP configurations.

    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 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 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

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.