All news with #google cloud tag

🔁 Google Cloud has introduced Data Transfer Essentials, a no-cost service for EU and U.K. customers to move multicloud data between Google Cloud and other providers. Designed for in-parallel processing across multiple clouds, qualifying multicloud traffic is metered separately and billed at a zero charge while other traffic remains billed at existing Network Service Tier rates. Customers can opt in via a configuration guide to specify which traffic qualifies.

🚀 Google Cloud has released an official Rust SDK that provides idiomatic, supported access to more than 140 Google Cloud APIs. The SDK includes built-in authentication (ADC, OAuth2, API Keys, service accounts, and upcoming Workload Identity Federation), documentation, and code samples to streamline development. It targets high-performance backends, secure data processing, and real-time analytics, and the project is available on crates.io and GitHub for feedback and contributions.

🔒 Google Cloud and its partners announced a range of partner-built AI security solutions now available in the Google Cloud Marketplace. These integrations embed Gemini and Vertex AI into partner products — including CrowdStrike, Palo Alto Networks, Fortinet, and others — to protect models, data, applications, and agents. The collaborations emphasize automated detection, incident response, DLP, identity protection, and agent monitoring to reduce mean time to detect and respond, helping customers adopt AI securely.

🚀 Google Cloud announced Dataproc multi-tenant clusters to let many data scientists share a single cluster for interactive notebook workloads while preserving per-user authorization. The feature maps individual Google identities to service accounts, externalizes mappings to a YAML file, and supports updates on running clusters. Jupyter kernels launch via the Jupyter Kernel Gateway across worker nodes, with optional Vertex AI Workbench integration and the BigQuery JupyterLab Extension. Administrators retain IAM-based least-privilege control and cluster hardening isolates credentials and OS users.

🛡️ The Agentic SOC Workshop is a complimentary, half-day event series from Google Cloud designed to help security professionals apply agentic AI and cloud-native threat intelligence to real-world operations. Attendees will participate in hands-on labs, a Capture the Flag challenge, and peer networking to learn how Gemini and Google Cloud tools can reduce alert fatigue and automate routine workflows. Sessions start in Los Angeles on Sept. 17 and Chicago on Sept. 19, with additional dates in October.

🚗 Horizon is an open-source, cloud-native software factory developed by Google and Accenture to standardize platform development for Android Automotive OS (AAOS) and related embedded vehicle software. It promotes a virtual-first workflow using high-fidelity cloud devices, VHAL, virtio, and scalable Cuttlefish instances to enable elastic testing and rapid developer feedback. Innovations such as the Android Build File System (ABFS), containerized reproducible builds, and integrated code tooling have produced 10x–50x faster feedback in early deployments, reducing build times and supporting high-frequency, higher-quality releases.

🛠️ Gemini Cloud Assist Investigations is now in public preview to help troubleshoot Dataproc and Serverless for Apache Spark workloads by automatically analyzing driver and executor logs, Spark UI metrics, configurations, and cross-product telemetry. Accessible from the Google Cloud console and via API, it produces prioritized summaries and clear remediation steps. The tool is tailored to data engineers, data scientists, SREs, and managers to reduce investigation time and accelerate fixes.

🏭 Tata Steel implemented a unified manufacturing data foundation on Google Cloud, centralizing OT and IT sources into a Manufacturing Data Engine built on BigQuery. The multi-path ingestion architecture leverages partners such as Litmus and ClearBlade to collect real-time PLC telemetry, while SAP, APIs, and in-house sensors feed batch and staging pipelines. The design emphasizes secure upstaging, partitioned storage with archival to Cloud Storage, and enables predictive maintenance, environmental KPI reporting, and reduced human presence in hazardous areas.

🔔 Google Cloud has expanded its Compute Flexible Committed Use Discounts (Flex CUDs) to cover additional VM families and serverless offerings, delivering broader savings and greater deployment flexibility. The update adds enhanced discounts for memory‑optimized M1–M4 instances and HPC‑optimized H3 and H4D families, and extends coverage to Cloud Run request-based billing and Cloud Functions. A new spend-based billing model applies discounts directly to eligible usage rather than issuing credits, and introduces changes to the Billing UI, Cloud Billing export to BigQuery schema, and Cloud Commerce Consumer Procurement APIs. Customers can opt in immediately; those who do not will be auto-transitioned to the new model on January 21, 2026, while new Billing Accounts created on or after July 15, 2025 will default to the updated model.

🚀 Join the GKE Turns 10 Hackathon to build next‑generation microservices enhanced with agentic AI. Google provides sample applications (Bank of Anthos or Online Boutique), example agents on GitHub, documentation, quickstarts and a webinar to help teams get started. Submissions must run on GKE and use Google AI models such as Gemini, with agents interacting via APIs rather than altering core application code. Participants may also use the Agent Development Kit (ADK), Model Context Protocol (MCP) and Agent2Agent (A2A) to extend functionality.

🚀 Baseten reports major cost-performance gains for AI inference by combining Google Cloud A4 VMs powered by NVIDIA Blackwell GPUs with Google Cloud’s Dynamic Workload Scheduler. The company cites 225% better cost-performance for high-throughput inference and 25% improvement for latency-sensitive workloads. Baseten pairs cutting-edge hardware with an open, optimized software stack — including TensorRT-LLM, NVIDIA Dynamo, and vLLM — and multi-cloud resilience to deliver scalable, production-ready inference.

🚀 This Cloud Next 2025 talk explains how to build fault-tolerant, multi-region services using Cloud Run, highlighting autoscaling, decoupled control/data planes, and N+1 zonal redundancy. The post previews an upcoming Service Health feature that automates cross-region failover by relying on container readiness probes and minimum-instance settings. It also outlines deployment patterns (global external ALB with Serverless NEGs) and shows a live demo of automated traffic failover.

🔍 StreamSight is an AI-driven application developed by BMG in partnership with Google Cloud to improve transparency, speed, and accuracy in digital royalty forecasting and anomaly detection. The solution leverages BigQuery ML models (including ARIMA_PLUS and BOOSTED_TREE), uses Vertex AI and Python for training, and surfaces results in Looker Studio dashboards. It flags missing sales periods, rights mismatches, and sudden streaming spikes to reduce manual review and help accelerate fairer payouts. Currently a proof of concept, StreamSight is positioned for broader DSP integrations and richer data inputs to extend its capabilities.

🌐 Google Cloud introduces DNS64 and NAT64 for Cross‑Cloud Network to allow IPv6-only workloads to access IPv4-only services without dual‑stack. DNS64 synthesizes AAAA responses by embedding IPv4 addresses into the 64:ff9b::/96 prefix, and NAT64 translates traffic by extracting those addresses and initiating IPv4 connections on behalf of IPv6 clients. The blog post includes step‑by‑step gcloud commands to create VPCs, DNS64 policies, and a NAT64 gateway.

🛡️ Cloudflare says it blocked the largest recorded volumetric DDoS attack, peaking at 11.5 Tbps. The UDP flood, which Cloudflare attributes mainly to traffic originating from Google Cloud, lasted roughly 35 seconds and was part of a broader surge of hyper‑volumetric events. The mitigation highlights Cloudflare's automated scaling and defensive capabilities against short, extremely high‑bandwidth assaults.

🔒 Google Cloud has expanded its Intel TDX-based Confidential Computing portfolio, now offering Confidential GKE Nodes, Confidential Space, and Confidential GPUs alongside broader regional availability. Creating an Intel TDX Confidential VM is exposed directly in the GCE Create an instance flow under the Security tab, with no code changes required. The C3 machine series supports Intel TDX across additional regions and zones, and NVIDIA H100 GPUs on the A3 series enable confidential AI by combining Intel CPU protection with NVIDIA Confidential Computing on the GPU.

🔁 Google Cloud and an ecosystem of partners — including Confluent, Databricks, dbt, Fivetran, Informatica, and Snowflake — reaffirm support for the open table format Apache Iceberg to power modern lakehouse architectures. The post highlights Google innovations such as BigLake and a REST Catalog API that unify metadata and enable interoperability across engines like BigQuery, Databricks, and Snowflake. The collaboration aims to reduce data silos, enable time travel and pruning, and accelerate AI-ready analytics.

🚀 Eventarc Advanced is now generally available as a unified, serverless eventing platform that centralizes real-time filtering, transformation, management, and delivery for complex microservices environments. It extends Eventarc Standard with a Publish API and a central message bus built on Envoy, enabling per-message access control, multi-format payload handling (Avro, JSON, Protobuf), and built-in routing and observability. The platform is designed to simplify development with a single API while giving platform operators centralized governance, monitoring, and reliable delivery across hybrid and multi-cloud topologies.

🔒 David Stone and Marina Kaganovich from Google Cloud’s Office of the CISO warn that cyber-enabled fraud (CEF) is scaling rapidly and presents severe financial and reputational risk. The post cites FBI data — $13.7 billion in losses in 2024 — and highlights common tactics such as phishing, ransomware, account takeover, and business email compromise. It urges CISOs and boards to shift from siloed defenses to a proactive, enterprise-wide posture using frameworks like FS-ISAC’s Cyber Fraud Prevention Framework and Google Cloud detection and protection capabilities.

🔔 This Google Cloud roundup summarizes recent product milestones, GA launches, previews, and integrations across the data analytics, BI, and database portfolio. It highlights updates to BigQuery, Firestore, Cloud SQL, AlloyDB, and adjacent services aimed at easing ingestion, migration, and AI-driven operations. Notable items include MongoDB-compatible Firestore GA, PSC networking improvements for Database Migration Service, and a redesigned BigQuery data ingestion experience. The post also emphasizes resilience and DR enhancements such as immutable backups and Near Zero Downtime maintenance.