All news with #google cloud tag

🔔 Google Cloud announced general availability of BigLake metastore support for the Iceberg REST Catalog, offering a serverless, standards-based runtime metastore that enables interoperability across Iceberg-compatible engines (Spark, Trino) and BigQuery. The service provides credential vending, integrated governance via Dataplex Universal Catalog for lineage and data quality, and a UX console for creating and managing Iceberg catalogs. By removing the need to run custom metastore deployments, BigLake metastore aims to reduce operational overhead while preserving enterprise scale and security.

🔒 Google Cloud EMEA has been designated a critical ICT third-party provider under the EU DORA. The designation acknowledges the systemic importance of financial entities using Google Cloud services and establishes a direct oversight channel with a Lead Overseer from the ESAs. Google Cloud commits to transparency, customer support for compliance, and collaboration to strengthen digital operational resilience across Europe. They provide resources like a Register of Information Guide and an ICT Risk Management Customer Guide to support customers' compliance journeys.

📡 Google announced Dhivaru, a new Trans-Indian Ocean subsea cable linking the Maldives, Christmas Island, and Oman, and will build two new connectivity hubs in the Maldives and Christmas Island. The investment builds on the Australia Connect initiative and aims to improve reach, reliability, and resilience across the Indian Ocean, supporting AI services such as Vertex AI. The hubs will provide cable switching, content caching, and colocation to reduce latency, improve availability, and support local ecosystems.

✨The 2025 Google Cloud Partner All‑stars honor individual partners advancing innovation and delivering measurable customer outcomes. This year introduces a new AI Innovation category that recognizes strategic leaders guiding enterprise-wide AI adoption and applying agentic AI to transform core processes and create new revenue streams. Recipients also demonstrate excellence across delivery, marketing, sales, and solutions engineering, reflecting technical rigor and long-term customer focus.

🚀 Waze centralized its real-time session state into a new Session Server backed by Memorystore for Redis Cluster, enabling shared, low-latency access across microservices and removing tight coupling to the monolithic RT service. The team executed a dual-write migration from Memcached to ensure data parity and achieve a zero-downtime cutover. The resulting system sustains over 1 million MGET/s with stable sub-millisecond latency and leverages partial updates to reduce network and write costs.

🛡️ Protective ReRoute (PRR) shifts rapid failure recovery from the network core to endpoints, enabling hosts to detect packet loss or high latency and re-steer traffic onto alternate pre-existing paths. Implemented in Linux (4.20+) and supported in Google Cloud via hypervisor and guest modes, PRR alters packet headers (IPv6 flow-label or overlay outer headers) to request multipath forwarding. In production for five years, it prevents up to 84% of slow-convergence outages and typically restores service in a single-digit multiple of RTT.

🚀 Google Cloud previewed its HPC and AI innovations for SC25, emphasizing a shift to cloud-native HPC that lets researchers and engineers provision purpose-built clusters in minutes. Key highlights include H4D and A4X VMs with low-latency Cloud RDMA, plus the Dynamic Workload Scheduler with Flex Start to enable flexible, cost-effective access to high-demand compute. The Cluster Toolkit and Google Managed Lustre simplify cluster deployment and high-throughput storage, while the latest TPUs and AI tools accelerate scientific workflows. Attendees are invited to booth #3724 for demos, talks, and community events.

🔍 Zeotap and Google Cloud describe a SQL-first approach to building scalable lookalike audiences entirely within BigQuery. They convert low-cardinality categorical features into one-hot and multi-hot vectors, use Jaccard similarity reframed via dot-product and Manhattan norms, and index vectors with BigQuery’s VECTOR_SEARCH. By combining pre-filtering on discriminative features and batching queries, the workflow reduces compute, latency, and cost while avoiding a separate vector database.

🔒 Fortinet has been named the inaugural Google Unified Security Recommended partner for network protection, recognizing FortiSASE and FortiGate NGFW running natively on Google Cloud. The collaboration delivers a cloud-native SASE that unifies networking and security with global PoPs on Google’s private backbone, centralized policy and telemetry via FortiManager, and AI-enhanced threat protection from FortiGuard Labs. Customers can deploy through Google Cloud Marketplace and expect lower TCO through a consolidated architecture and simplified operations.

💬 Google Cloud has made Looker Conversational Analytics generally available, bringing natural-language data queries to all Looker users. Built on the Looker semantic layer and powered by Gemini and Google’s agentic frameworks, the feature provides instant, explainable answers and supports multi-turn exploration across up to five connected Explores. Analysts can build and share agents, use LookML for fine tuning, and rely on a governed foundation that surfaces “How was this calculated?” explanations. Admins can enable the capability now to accelerate data discovery and improve self-service across teams.

🔒 Fortinet has been named the inaugural Google Unified Security Recommended partner for network protection, integrating FortiSASE and the FortiGate NGFW to run natively on Google Cloud. The integration delivers unified policy and shared telemetry with Google Security Operations, combining FortiGuard Labs and Google threat intelligence for AI-driven detection and response. Customers gain consolidated management, improved performance via Google’s backbone, and simplified procurement through the Google Cloud Marketplace.

🤖 This post outlines a concise four-step framework for startups to design and deploy multi-agent systems, illustrated through a Sales Intelligence Agent example. It recommends choosing between pre-built, partner, or custom agents and describes using Google's Agent Development Kit (ADK) for code-first control. The guide covers hybrid architectures, tool-based state isolation, secure data access, and a three-step deployment blueprint to run agents on Vertex AI Agent Engine and Cloud Run.

🔒 Google Cloud is launching the Google Unified Security Recommended program to validate deep integrations between its security portfolio and third-party vendors. Inaugural partners CrowdStrike, Fortinet, and Wiz bring endpoint, network, and multicloud CNAPP capabilities into Google Security Operations. Partners commit to cross-product technical integration, a collaborative support model, and investment in AI initiatives such as the model context protocol (MCP). Qualified solutions will be available via Google Cloud Marketplace for simplified procurement and consolidated billing.

🤝 Google Cloud and Hugging Face are deepening their partnership to speed developer workflows and strengthen enterprise model deployments. A new gateway will cache Hugging Face models and datasets on Google Cloud so downloads take minutes, not hours, across Vertex AI and Google Kubernetes Engine. The collaboration adds native TPU support for open models and integrates Google Cloud’s threat intelligence and Mandiant scanning for models served through Vertex AI.

🤝 Google Cloud is increasing local AI compute in India with its AI Hypercomputer powered by Trillium TPUs, enabling training and serving of advanced Gemini models with data residency and sovereignty controls. New local offerings include batch support for Gemini 2.5 Flash, a preview of Document AI, and real‑time grounding using Google Maps for location‑aware responses. Google is also supporting Indic Arena at IIT Madras with cloud credits to benchmark Indian multilingual models and to help grow the local AI ecosystem.

🚀 Zeotap migrated its Customer Data Platform from ScyllaDB to Bigtable to address scaling challenges, operational overhead, and highly spiky workloads. The cloud-native stack—using Dataflow, a home-grown streaming engine, Memorystore as a cache, Bigtable as the hot store, and BigQuery for analytics—delivers predictable low-latency reads and writes at scale. The transition yielded a 46% reduction in TCO and a ~20% drop in operational tasks while enabling sub-second SLAs and faster ML deployment.

🚀 Google Cloud announces general availability of the N4D machine series built on 5th Gen AMD EPYC 'Turin' processors and Google's Titanium infrastructure. N4D targets cost-optimized, general-purpose workloads — web and app servers, data analytics, and containerized microservices — with up to 96 vCPUs, 768 GB DDR5, 50 Gbps networking, and Hyperdisk storage. Google cites up to 3.5x web-serving throughput versus N2D and material price-performance gains for general compute and Java workloads.

🚀 Google Cloud describes a full-stack solution for running high-scale Reinforcement Learning (RL) with LLMs, combining custom TPU hardware, NVIDIA GPUs, and optimized software libraries. The approach addresses RL's hybrid demands—reducing sampler latency, easing memory contention across actor/critic/reward models, and accelerating weight copying—by co-designing hardware, storage (Managed Lustre, Cloud Storage), and orchestration on GKE. The blog emphasizes open-source contributions (vLLM, llm-d, MaxText, Tunix) and integrations with Ray and NeMo RL recipes to improve portability and developer productivity. It also highlights mega-scale orchestration and multi-cluster strategies to run production RL jobs at tens of thousands of nodes.

🔒 Google Public Sector announced it has achieved CMMC Level 2 certification, validated by a certified third-party assessment organization (C3PAO). The certification confirms that its internal systems used to process and store Controlled Unclassified Information (CUI) meet DoD cybersecurity expectations. While the certification covers Google’s internal systems and does not extend to customer environments, Google highlights support for the Defense Industrial Base through FedRAMP-authorized cloud services and published compliance resources, including a Google Workspace CMMC Implementation Guide, to help partners accelerate their own CMMC journeys.

🔒 Ericsson has implemented a global data governance framework using Dataplex Universal Catalog on Google Cloud to ensure data integrity, discoverability, and compliance across its Managed Services operation. The program standardized a business glossary, automated quality checks with incident-driven alerts, and visualized column-level lineage to support analytics, AI, and automation at scale. It balances defensive compliance with offensive innovation and embeds stewardship through Ericsson’s Data Operating Model.