All news with #google cloud tag

🔧 BigQuery Studio unveils a simplified, organized console interface designed to help data analysts, engineers, and scientists work more efficiently. The update introduces an expanded Explorer view for easier resource discovery, a context-aware Reference panel that surfaces table schemas and lets you insert query snippets, and a decluttered layout including a dedicated Job history tab. These changes reduce context switching and tab proliferation so users can focus on analysis.

🔎 Moloco’s AI-native retail media platform, integrated with Vertex AI Vector Search on Google Cloud, delivers semantic, real-time ad retrieval and personalized recommendations. The joint architecture uses TPUs and GPUs for model training and scoring while vector search runs efficiently on CPUs, enabling outcomes-based bidding at scale. Internal benchmarks report ~10x capacity, up to ~25% lower p95 latency, and a ~4% revenue uplift. The managed service reduces operational overhead and accelerates time-to-value for retailers.

🎬 This guide introduces Veo 3.1, Google Cloud's improved generative video model available in preview on Vertex AI, and explains how to move beyond "prompt and pray" toward deliberate creative control. It highlights core capabilities—high-fidelity 720p/1080p output, variable clip lengths, synchronized dialogue and sound effects, and stronger image-to-video fidelity. The article presents a five-part prompting formula and detailed techniques for cinematography, soundstage direction, negative prompting, and timestamped scenes. It also describes advanced multi-step workflows that combine Gemini 2.5 Flash Image to produce consistent characters and controlled transitions, and notes SynthID watermarking and certain current limitations.

🤝 At the end of October in Washington, D.C., Google Cloud and NVIDIA will lead a week of events highlighting advances in AI, high-performance computing, and secure mission deployments. NVIDIA GTC DC (Oct. 27–29) features keynotes, demos, and hands-on sessions showcasing next-generation models and infrastructure. The Google Public Sector Summit (Oct. 29) convenes government leaders to explore practical uses of technologies like Gemini for Government and discuss secure, scalable AI adoption for mission impact.

🤖 LiveX AI outlines a Google Cloud blueprint to scale conversational customer experiences across chat, voice, and avatar interfaces. The post details how Cloud Run hosts elastic front-end microservices while GKE provides GPU-backed AI inference, and how AgentFlow orchestrates conversational state, knowledge retrieval, and human escalation. Reported customer outcomes include a >90% self-service rate for Wyze and a 3× conversion uplift for Pictory. The design emphasizes cost efficiency, sub-second latency, multilingual support, and secure integrations with platforms such as Stripe, Zendesk, and Salesforce.

🚀 Google Cloud announced enhancements to NetApp Volumes, adding unified iSCSI block and file storage to support SAN migrations and NetApp FlexCache for high-performance local caching in hybrid environments. The service integrates with Gemini Enterprise as a data store for retrieval-augmented generation, and includes large-capacity volumes, SnapMirror replication, and auto-tiering to optimize performance and costs.

🚀 Google Cloud announces the general availability of open-source IBM Spectrum Symphony HostFactory connectors for Google Compute Engine and GKE. The connectors enable organizations to extend on‑premises Symphony clusters into Google Cloud or deploy fully cloud-native clusters with automatic provisioning and decommissioning to match workload demand. Partner-built by Accenture and validated by Aneo, the connectors support enterprise features such as Spot and on‑demand VMs, GPUs, Local SSD, Confidential VMs, Pub/Sub event-driven management, Kubernetes CRDs, and integration with managed instance group (MIG) APIs for large-scale HPC operations.

🤖 Google Cloud Marketplace offers a vetted path for organizations to deploy, buy, or build AI agents that integrate with Gemini Enterprise, simplifying procurement and deployment. Listings are pre-validated for A2A integration and allow consolidated billing, while administrators can enforce governance using IAM and Private Marketplace controls. For partners, the Marketplace provides global reach, co-selling, and flexible monetization (subscription, usage-based, private offers, outcome-based) plus automated provisioning via Pub/Sub and the Cloud Commerce Partner Procurement API.

🧠 Google Cloud is introducing two Cloud Storage features—auto annotate and object contexts—that apply pretrained AI to generate metadata and attach custom key-value tags to stored objects. Auto annotate (experimental) produces image annotations such as object detection, labels, and objectionable-content signals tied to an object's lifecycle. Object contexts (preview) let teams add, manage, and query contextual tags with IAM controls and Storage Insights integration. Together they enable scalable discovery, curation, and governance of previously unanalyzed unstructured “dark data.”

🔒 BigQuery data clean room query templates are now available in preview, enabling clean room owners to publish fixed, reusable TVF-based queries that accept table or field inputs and return only aggregated rows. Templates reduce data exfiltration risk, simplify onboarding for non-SQL users, and enforce consistent analytical and privacy controls via aggregation thresholds and approval workflows. They support single-direction and multi-party collaboration while keeping query logic hidden from subscribers.

⚙️ This post introduces the fundamentals of chaos engineering and explains why deliberately injecting controlled failures helps teams build more resilient cloud-native systems. It covers core principles — such as defining a steady-state hypothesis, limiting blast radius, replicating realistic failure modes, and automating experiments — and translates them into practical steps for experiment design, fault injection, probing, and rollback. The article recommends using Chaos Toolkit and points to Google Cloud–specific recipes to help engineers begin safely and iteratively.

🔒 Google Cloud has launched a Network Security Learning Path culminating in the Designing Network Security in Google Cloud skill badge to help organizations secure dynamic cloud networks. The program covers design, build, and management of secure VPCs, GKE lockdown, NGFW rules, Cloud VPN/Interconnect, and Cloud Armor for WAF and DDoS protection. Learners validate skills through a hands-on break-fix challenge lab simulating incidents like firewall policy breaches and data exfiltration.

🤖 Google Cloud published the Startup technical guide: AI agents, a practical, operations-driven roadmap to design, build, and operate agentic systems for startups. The guide outlines three paths — build with the open-source Agent Development Kit (ADK), design no-code agents in Agentspace, or adopt managed and partner agents via Vertex AI and the Agent Garden marketplace. It details four development steps (identity, prime directive, tools, lifecycle), highlights operational rigor (AgentOps), and promotes interoperability through standards such as MCP and A2A, all aimed at safe production deployment.

🔐 Google Cloud Key Management Service (Cloud KMS) now offers preview support for post-quantum Key Encapsulation Mechanisms (KEMs), enabling customers to begin migrating to quantum-resistant key exchange. Cloud KMS supports ML-KEM-768, ML-KEM-1024, and the hybrid X-Wing (X25519+ML-KEM-768) option. The preview aims to mitigate "Harvest Now, Decrypt Later" risks and provide HPKE-compatible integrations via Tink and BoringCrypto. Developers are advised to adopt hybrid deployments and plan for larger key and ciphertext sizes that affect bandwidth and storage.

🤖 At the AI Builders Forum, Google Cloud highlighted 150 startups using its generative AI stack—Vertex AI, Gemini, GKE, and Cloud Storage—to build agentic systems, healthcare models, developer tools, and media pipelines. The post catalogs companies across sectors (healthcare, finance, retail, security, creative) and describes technical integrations such as fine-tuning with Gemini, inference on GKE, and scalable analytics with BigQuery. It encourages startups to join Google for Startups Cloud and references a new Startup Technical Guide: AI Agents for building and scaling agentic applications.

🔐 Zeroday Cloud is a new hacking competition focused on open-source cloud and AI tools, offering a $4.5 million bug bounty pool. Hosted by Wiz Research with Google Cloud, AWS, and Microsoft, it takes place December 10–11 at Black Hat Europe in London. The contest features six categories covering AI, Kubernetes, containers, web servers, databases, and DevOps, with bounties ranging from $10,000 to $300,000. Participants must deliver complete compromises and register via HackerOne.

💡 Google Cloud presents practical strategies to lower Compute Engine and block storage costs during migration and modernization. The article recommends adopting latest-generation VMs and specialized instance families, right-sizing or using custom machine types, and tuning storage with Hyperdisk and storage pools to align capacity and performance. It also emphasizes financial levers—committed use discounts, Spot VMs, autoscaling, and recommender-driven actions—to reduce spend while preserving performance.

🔐 Google Cloud’s Vertex AI now supports secure self-deployment of proprietary third-party models directly into customer VPCs via the Model Garden. Customers can discover, license, and deploy closed-source and restricted-license models from partners such as AI21 Labs, Mistral AI, Qodo and others, with one-click provisioning and managed inference. Deployments adhere to VPC-SC controls, selectable regions, autoscaling, and pay-as-you-go billing. This central catalog brings Google, open, and partner models together for enterprise-grade control and compliance.

🎨Google Cloud announced General Availability and feature updates for its generative media models on Vertex AI, including Gemini 2.5 Flash Image, Veo 3, Imagen 4, and Gemini 2.5 TTS. The release emphasizes production readiness and enterprise security while adding multi‑aspect ratio image generation, batch image processing, vertical 9:16 video formats with precise duration controls, and studio‑quality multi‑speaker text‑to‑speech across 70+ languages. These enhancements target teams seeking faster, controlled, and scalable cross‑format media workflows for sight, sound, and motion.

🚀 Google Cloud is hosting a regional event series across EMEA to help developers and tech practitioners learn to build and scale AI agents. The program combines immersive, hands-on labs and expert-led workshops covering technologies such as Cloud Run, Vertex AI, Gemini, and the Agent Development Kit (ADK). Participants receive step-by-step guidance and practical exercises designed to accelerate agent deployments and operational readiness within organizations.