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 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 - 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.
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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.
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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From the official sources: Google Cloud releases and Terraform Google provider. Every item links back to the original vendor announcement.