All news with #google cloud tag

Using Private NAT for Overlapping Private IP Spaces

🔒 Google Cloud's Private NAT enables secure private-to-private translation to connect networks with overlapping or non-routable IPv4 ranges without running NAT appliances. As a managed Cloud NAT feature, it delivers high availability, automatic scalability, and centralized control for hybrid and multi‑VPC topologies. The post includes practical gcloud examples and Network Connectivity Center use cases to guide implementation.

Google Cloud designated as DORA critical ICT provider

🔒 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.

2025 Google Cloud Partner All-Stars: Recognizing AI Leaders

✨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.

Production-Ready AI with Google Cloud Learning Path

🚀 Google Cloud has launched the Production-Ready AI Learning Path, a free curriculum designed to guide developers from prototype to production. Drawing on an internal playbook, the series pairs Gemini models with production-grade tools like Vertex AI, Google Kubernetes Engine, and Cloud Run. Modules cover LLM app development, open model deployment, agent building, security, RAG, evaluation, and fine-tuning. New modules will be added weekly through mid-December.

European Digital Sovereignty Summit Shifts Priorities

🔒 European leaders, including Chancellor Friedrich Merz and President Emmanuel Macron, will attend a Berlin summit of digital ministers and IT experts expected to draw about 900 participants. The conference highlights concerns that US laws such as CLOUD Act and FISA 702 can compel US cloud providers to disclose data held in Europe, driving calls to reduce dependencies on non‑European vendors. Officials and industry leaders emphasise technological controls — notably strong encryption and customer-held keys — and the need for scalable European cloud alternatives while addressing regulatory and startup barriers.

Google Cloud: Cloud-Native HPC Innovations for SC25

🚀 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.

Protective ReRoute: Host-based Network Resilience for Cloud

🛡️ 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.

Waze modernizes session handling with Memorystore Cluster

🚀 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.

What CISOs Should Know About Securing MCP Servers Now

🔒 The Model Context Protocol (MCP) enables AI agents to connect to data sources, but early specifications lacked robust protections, leaving deployments exposed to prompt injection, token theft, and tool poisoning. Recent protocol updates — including OAuth, third‑party identity provider support, and an official MCP registry — plus vendor tooling from hyperscalers and startups have improved defenses. Still, authentication remains optional and gaps persist, so organizations should apply zero trust and least‑privilege controls, enforce strong secrets management and logging, and consider specialist MCP security solutions before production rollout.

How BigQuery Brought Vector Search to Analytics at Scale

🔍 In early 2024 Google introduced native vector search in BigQuery, embedding semantic search directly into the data warehouse to remove the need for separate vector databases. Users can create indexes with a simple CREATE VECTOR INDEX statement and run semantic queries via the VECTOR_SEARCH function or through Python integrations like LangChain. BigQuery provides serverless scaling, asynchronous index refreshes, model rebuilds with no downtime, partitioned indexes, and ScaNN-based TreeAH for improved price/performance, while retaining row- and column-level security and a pay-as-you-go pricing model.

Lightricks Scales Video Diffusion Training with JAX

🚀 Lightricks rewrote its training stack in JAX to scale high-performance video diffusion models on TPUs after hitting limits with PyTorch/XLA. The migration enabled reliable sharding, fixed FlashAttention and data-loading issues, and delivered linear scaling across small and large TPU pods. These improvements translated to ~40% more training steps per day, faster iteration, and doubled team productivity. Their stack leverages Flax, Optax, Orbax, and the MaxText blueprint for robust, testable, and efficient large-scale training.

GKE: Unified Platform for Agents, Scale, and Inference

🚀 Google details a broad set of GKE and Kubernetes enhancements announced at KubeCon to address agentic AI, large-scale training, and latency-sensitive inference. GKE introduces Agent Sandbox (gVisor-based) for isolated agent execution and a managed GKE Agent Sandbox with snapshots and optimized compute. The platform also delivers faster autoscaling through Autopilot compute classes, Buffers API, and container image streaming, while inference is accelerated by GKE Inference Gateway, Pod Snapshots, and Inference Quickstart.

Google Cloud Establishes New European Advisory Board

🇪🇺 Google Cloud has formed a new European Advisory Board to provide strategic counsel on regulatory, product, and market priorities and to help customers navigate complex European requirements. The board unites leaders from technology, finance, retail, and public service, chaired by Jim Snabe, and includes Stefan Heidenreich, Nigel Hinshelwood, Christophe Cuvillier and Tim Radford (joining Jan 2026). The group will meet periodically to guide Europe-first product development, policy engagement, and sustainability efforts, reinforcing Google Cloud’s commitment to regional expertise and customer-focused innovation.

Why Enterprises Still Struggle with Cloud Misconfigurations

🔒 Enterprises continue to struggle with cloud misconfigurations that expose sensitive data, according to recent industry reporting and a Qualys study. The report cites a 28% breach rate tied to cloud or SaaS services over the past year and high misconfiguration rates across AWS (45%), GCP (63%) and Azure (70%). Experts blame permissive provider defaults, shadow IT and rapid business-driven deployments, and recommend controls such as MFA everywhere, private networking, encryption, least-privilege and infrastructure-as-code.

Google Cloud previews Axion-based N4A general VMs Series

🚀 Google Cloud has introduced the Axion-based N4A VM series in preview, positioned as the most cost-effective N-series to date with up to 2× better price-performance and 80% better performance-per-watt versus comparable x86 VMs. Available on Compute Engine, GKE, Dataproc and Batch, N4A supports up to 64 vCPUs, 512 GB DDR5, 50 Gbps networking, Custom Machine Types and new Hyperdisk storage profiles (Balanced, Throughput, ML). Early customers report substantial cost and performance gains.

Google Cloud Announces Axion C4A Metal Bare-Metal Arm

🔧 Google Cloud is introducing C4A metal, a bare-metal instance class powered by its Arm-based Axion processors, entering preview soon. Designed for workloads that require direct hardware access and Arm-native compatibility, C4A metal delivers 96 vCPUs, 768 GB DDR5 memory, up to 100 Gbps networking, and support for Google Cloud Hyperdisk variants. C4A metal targets Android development, automotive simulation, CI/CD, security workloads, and custom hypervisors by eliminating nested virtualization overhead and preserving Arm instruction-set parity.

Buildertrend Migrates to Memorystore for Valkey at Scale

🚀 Buildertrend describes migrating from Memorystore for Redis to Google Cloud’s managed Memorystore for Valkey to gain native cross‑regional replication, improved networking via Private Service Connect, and performance advantages. The team exported cache data to Google Cloud Storage and seeded Valkey instances to minimize downtime, eliminated a proxy layer, and now uses Valkey for caching, session state, job queues, pub/sub idempotency, and authentication tokens.

Building Software Sustainably with AI and Efficiency

🌱 Google presents a Sustainable by Design approach to reduce the environmental footprint of AI and software. The post highlights projects like Green Light and Project Contrails, improvements in hardware efficiency such as Ironwood TPUs, and a fleet-wide Power Usage Effectiveness of 1.09. It introduces the 4Ms—Machine, Model, Mechanisation, Map—to guide infrastructure and development choices. The emphasis is on embedding efficiency across the software lifecycle to cut energy use, costs, and water consumption.

How Google Cloud Networking Supports AI Workloads at Scale

🔗 Networking is a critical enabler for AI on Google Cloud, connecting models, storage, and inference endpoints while preserving security and performance. The post outlines seven capabilities—from private API access and RDMA-backed GPU interconnects to hybrid Cross-Cloud links—that reduce latency, prevent data exfiltration, and simplify model serving. It also highlights options for exposing inference (managed services, GKE, load balancing) and previews AI-driven network operations using Gemini.

Automating FinOps Governance with Workload Manager

🔧 Workload Manager automates FinOps governance by codifying cost-control policies and enforcing them across Google Cloud environments. It supports both predefined checks (for example, bigquery-missing-labels) and custom rules written in Open Policy Agent (OPA) Rego, allowing organization-, folder-, or project-level scans. Scheduled evaluations can export results to BigQuery, trigger notifications (email, Slack, PagerDuty), and feed Looker Studio dashboards for reporting and trend analysis. New pricing reduces scan costs by up to 95% and includes a small free tier to accelerate adoption.