All news with #google cloud tag

🚀 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.

🔔 This month Google Cloud expanded its AI stack across models, tooling, and security. Highlights include Gemini 2.5 Flash with native image generation and SynthID watermarking on Vertex AI, new Veo video models, the Gemini CLI, and a global Anthropic Claude endpoint. Google also published 101 gen‑AI blueprints, developer guidance for choosing tools, and security advances for agents and AI workloads.

☁️ Google Public Sector has been awarded a $48 million DLA Enterprise Platform contract to migrate the Defense Logistics Agency to a DoD‑accredited commercial cloud. The multi‑phased program will move key infrastructure and data to a modern, AI‑ready Google Cloud foundation and enable BigQuery, Looker, and Vertex AI analytics. Emphasizing secure‑by‑design infrastructure and Mandiant threat intelligence, the effort aims to reduce costs, improve resiliency, and accelerate AI‑driven logistics and transportation management.

🔒 EuroDaT, a state-owned data trustee, built safeAML with major German banks to enable controlled, pseudonymous transaction matching while preserving GDPR compliance. The cloud-native service runs on Google Cloud and Google Kubernetes Engine, using infrastructure-as-code, isolated VPCs and auditable processing so EuroDaT never accesses personal-data content. By letting banks request targeted supplementary information, safeAML accelerates suspicious-activity checks, reduces false positives and lays groundwork for wider use in ESG and health data sharing.

🔐 EuroDaT describes how its safeAML platform, built on Google Cloud and Google Kubernetes Engine, enables controlled, pseudonymous exchange of sensitive transaction data between banks. Acting as a neutral data trustee, EuroDaT never accesses personal content while automating secure, auditable workflows that replace error-prone phone calls. Pilots with German banks show faster, more accurate suspicion assessments and lower false positives.

📦 This post describes how Skopeo, a daemonless CLI for container images, can streamline image management with Artifact Registry and Google Cloud CI/CD. It outlines setup steps and five practical workflows—inspect manifests, registry-to-registry copying, listing tags, promoting images, and automated verification. The article also covers security integrations with tools like Cosign and Binary Authorization, and recommends Skopeo for faster, daemonless automation in Cloud Build and related environments.

🚀 Firestore with MongoDB compatibility is now generally available on Google Cloud. This launch lets developers run existing MongoDB drivers, code, and tools against a MongoDB-compatible API implemented on Firestore's serverless database, combining MongoDB ecosystem compatibility with Firestore’s multi-region replication, strong consistency, and pay-as-you-go pricing. New capabilities include over 200 API and query features (including $lookup and unique indexes), Firestore Studio enhancements, and Eventarc triggers for change data capture. Enterprise functions such as Point-in-Time Recovery, database cloning, and managed export/import support production and compliance workflows.

⚙️ This guide from Google Cloud authors Eric Hanley and Brittany Rockwell explains how to tune vLLM deployments for xPU inference, covering accelerator selection, memory sizing, configuration, and benchmarking. It shows how to gather workload parameters, estimate HBM/VRAM needs (example: gemma-3-27b-it ≈57 GB), and run vLLM’s auto_tune to find optimal gpu_memory_utilization and throughput. The post compares GPU and TPU options and includes practical troubleshooting tips, cost analyses, and resources to reproduce benchmarks and HBM calculations.

🌍 BigQuery now integrates Earth Engine, enabling analysts to run raster analytics and join satellite-derived imagery with vector data using familiar SQL workflows. Initial capabilities include the ST_RegionStats() geography function plus a curated set of ~20 Earth Engine raster datasets for land cover, weather and climate analysis. With general availability, Google Cloud adds EU regional deployment, an Image Details tab for enhanced metadata visibility, usage and quota controls, and a preview map visualization in BigQuery Studio to render GEOGRAPHY query results on Google Maps for interactive exploration and stakeholder-ready outputs.

💬 The Conversational Analytics API lets developers embed natural‑language data queries and chat‑driven analysis directly into custom applications, internal tools, and workflows. It combines Google's AI, Looker’s semantic layer, and BigQuery context engineering to deliver data, chart, and text answers with trusted access controls. Features include agentic orchestration, a Python Code Interpreter, RAG‑assisted context engineering, and both stateful and stateless conversation modes. Enterprise controls such as RBAC, row‑ and column‑level access, and query limits are built in.

🔔 Google Cloud published a consolidated roundup of product releases and previews from early July through Aug 22, 2025, covering GA launches, public previews, and platform enhancements. Highlights include Earth Engine in BigQuery (GA), Vertex AI embedding scaling, new GKE features for NUMA alignment and swap, expanded NodeConfig controls, and Cloud Run with GPUs. Customers should review the linked documentation, request preview access via account teams where needed, and plan upgrades or migrations accordingly.