What’s new with Google Cloud

Inside Google CloudWhat’s new with Google CloudNovember 7, 2025Google Cloud Content & Editorial Try Gemini 2.5Our most intelligent model is now available on Vertex AITry now Want to know the latest from Google Cloud? Find it here in one handy location. Check back regularly for our newest updates, announcements, resources, events, learning opportunities, and more. Tip: Not sure where to find what you’re looking for on the Google Cloud blog? Start here: Google Cloud blog 101: Full list of topics, links, and resources.Nov 3 - Nov 7 Announcing the Data Engineering AgentData teams can now automate complex SQL pipeline tasks with the new Data Engineering Agent for BigQuery, available in Preview. This agent simplifies development, maintenance, and troubleshooting, allowing engineers to focus on strategic initiatives. It supports natural language pipeline creation, intelligent modification, and seamless migration from legacy tools.Transform your data engineering workflows today! From Threat Model to TTX: Bringing a New Design Partner to the TableGain an overview of threat modeling, how threat models can be performed rapidly, and why threat model scenarios make excellent tabletop scenarios - especially for products that are still in development.To get more information about threat modeling or tabletop exercises, check out The Defender’s Advantage or reach out to a Mandiant cybersecurity expert for specialized assistance. Application Monitoring now includes a Topology.Application Monitoring now includes a graphical representation of runtime dependencies (i.e Topology) for your App Hub defined application. This now allows you to quickly understand your app architecture, spot anomalous runtime interactions and resolve issues flagged from alerts quicker. Runtime dependencies are extracted from the OpenTelemetry traces you send to Cloud Trace from your App Hub registered workload.Follow the outline here to register your app and unlock the benefits of Application Monitoring and its newly launched Topology Supercharge AI Agents: Apply Enterprise Governance to GenAI Workflows with ApigeeAs Generative AI agents move to production, you need control over cost, reliability, and security. A powerful new pattern introduces Apigee as the unified AI Agent Gateway for Large Language Model (LLM) calls. Route agent traffic through Apigee to gain immediate enterprise-grade governance, including dynamic circuit breaking, token consumption quotas, and sensitive data masking. A new Apigee wrapper for the Agent Development Kit (ADK) simplifies implementation. Turn your agents into manageable, secure AI products.Read the full article and explore the new pattern. Oct 20 - Oct 24 Dataframe visualization in Colab Enterprise. Use visualization cells to create custom, stylized visualizations of your DataFrames: no coding required! Choose your fields, chart type, aggregation, and color scheme, then see a visualization of your data without leaving your notebook. Check out the tutorial and get started with data visualization today. Oct 13 - Oct 17 Build Serverless AI in the Cloud Run HackathonReady to go from idea to global scale in minutes? The Cloud Run Hackathon is here! Build serverless AI apps with AI Studio, orchestrate intelligent agents, or harness the power of GPUs. Compete for a share of $50,000+ in prizes! Submissions are open from Oct 6, 2025 to Nov 10, 2025. Learn more and register: run.devpost.com Oct 6 - Oct 10 Multi-agent AI systems help you optimize complex and dynamic processes by segmenting them into discrete tasks that multiple specialized AI agents collaboratively execute. To get started with building secure and reliable multi-agent AI systems, see this reference architecture guide: Design a multi-agent AI system in Google cloud. The example architecture in this guide showcases a couple of agent patterns: sequential, and loop. For a comprehensive review of all the possible agent design patterns and for help with choosing patterns that are appropriate for your use cases, see this design guide: Choose a design pattern for your agentic AI system. Sept 29 - Oct 3 Announcing Koog Supports for Agent2Agent protocol (A2A)The future of interconnected AI is here. We're thrilled to announce that Koog now supports A2A, a protocol that lets agents talk directly, securely, and seamlessly across companies and clouds. For Kotlin developers, this unlocks a new era of powerful, enterprise-grade AI. Build sophisticated agents that automatically discover and collaborate with other services, all while calling on Google Cloud's state-of-the-art models like Gemini directly from your workflows. Stop building bridges and start creating truly intelligent, interconnected systems today. Learn more about building with Koog, A2A, and Google Cloud. Sept 15 - 19 Your AI is Now a Local Expert: Grounding with Google Maps is GAWe are excited to announce the General Availability (GA) of Grounding with Google Maps in Vertex AI. This feature lets developers build generative AI applications that are connected to real-world, up-to-date information from Google Maps, using its data on over 250 million places worldwide.To learn more and get started, visit our documentation and check out our demo. Production-ready YOLO model training serving workflow on Vertex AIThis guide walks you through a complete, automated workflow for training a custom YOLO model on Vertex AI. You'll learn how to use a custom training job, package the model in a custom prediction container, and register it in the Vertex AI Model Registry, making it ready for easy deployment. Best of all, this approach is designed to work directly with existing Vertex AI managed datasets for object detection, meaning you can reuse the same data you're already using for AutoML models.Checkout details on developer forums Sept 8 - 12 Scaling Inference To Billions of Users And AI Agents: Discover the architecture required to serve AI models at a planetary scale. This article details how Google Cloud’s ecosystem—from the GKE Inference Gateway for smart load balancing to the power of custom TPUs and open-source engines like vLLM—provides a production-ready path. Move beyond the hype and learn how to build for the next wave of AI. Explore the technical deep-dive. We're celebrating the one-year anniversary of bringing Confidential Computing with Intel TDX to Google Cloud. We've been shipping new capabilities to help you protect your most sensitive data while it's in use. Now Generally Available: Confidential GKE Nodes with Intel TDX: Secure entire Kubernetes clusters, node pools, and workloads. Confidential Space with Intel TDX: Build secure data clean rooms for collaboration on sensitive information. Confidential GPUs: Protect cutting-edge AI workloads with Confidential NVIDIA H100s GPUs on GCE and GKE.We've also expanded Intel TDX to more regions! Read the blog Aug 25 - 29 Applied AI for Modern Manufacturers: New original growth series, hosted by Jake Hall, The Manufacturing Millennial, that dives into leading trends, best practices, and what companies are doing right now with AI in manufacturing. Hear from industry thought leaders - Rick Bullotta, Jonathan Wise, Walker Reynolds and Berardino Baratta - and Google Cloud experts - Praveen Rao, Eric Lam, Dave Nguyen Ph.D., Geoffrey Hirschheim, and Jim Anderson. Watch Modules 1 and  2 now, where we delve into the AI Innovation and trends and AI Costs and ROI in the Era of Digital Manufacturing. Next module kicks off Tuesday, Sep 2. Join now Firestore with MongoDB compatibility is now generally available (GA): Developers can now build cost-effective, scalable, and highly reliable apps on Firestore's serverless database using a familiar MongoDB-compatible API. With the general availability of Firestore with MongoDB compatibility, the 600,000 active developers within the Firestore community can now use existing MongoDB application code, drivers, and tools, as well as the open-source MongoDB ecosystem, with Firestore's serverless service. Firestore offers benefits like multi-region replication, virtually unlimited scalability, up to 99.999% SLA, single-digit millisecond read performance, integrated Google Cloud governance, and pay-as-you-go pricing. Register now for the webinar on September 9th for a deep dive into Firestore with MongoDB compatibility. Aug 18 - 22 Earth Engine in BigQuery is now Generally Available, bringing advanced geospatial analytics directly to your BigQuery workflows. Unlock insights with satellite data! Aug 11 - Aug 15 New HPC VM and Slurm-gcp Images: A new HPC VM Image (under the project cloud-hpc-image-public) is now available, featuring a Rocky Linux 8-based image, IntelMPI v2021.16, and RDMA drivers. In partnership with SchedMD, new Slurm images (Slurm 25.05) have also been released. These are based on the latest HPC VM Image and are available for Ubuntu 22.04/24.04 Accelerator Images (ARM/AMD64) and Debian 12. These releases allow for the deployment of Slurm-ready clusters on GCP, providing the advantages of an HPC-optimized and performance-tested foundation. Read more. Scaling our Gemini Embedding model in Vertex AI. Following increased popularity from its General Availability launch in May, we've recently increased quota and input size limits for customers of Vertex AI's most powerful text embedding model, gemini-embedding-001. Customers can now send up to 250 input texts per request (generating 250 embeddings) instead of only a single piece of text, bringing improved throughput and decreased round-trip network latency to large-scale embedding applications. We've increased quota limits for this model by 10x for most users, allowing hassle-free scaling of embedding applications to millions of tokens per minute and beyond.Get started with Gemini Embeddings today! Aug 4 - Aug 8 GKE Node Memory Swap in private preview: You can now configure swap space on your GKE Standard nodes to provide a crucial buffer against Out-of-M