All news with #google cloud tag

🚀 Google is recognized as a Leader in the 2025 IDC MarketScape for Worldwide Hyperscaler Marketplaces. The assessment highlights Google Cloud Marketplace for its integrated portfolio of SaaS, AI agents, foundational models, datasets, and services validated for enterprise readiness. The platform emphasizes AI innovation with a dedicated AI agent category, deep integration with Vertex AI and deployment via Gemini Enterprise. It also offers partner validation, enterprise governance tools, AI-driven discovery, flexible private offer buying, and global transaction support.

🤝 Google Cloud announced Palo Alto Networks has joined the Google Unified Security Recommended program, bringing validated integrations across endpoint, network, and access security to deepen interoperability and choice for customers. The integration ingests telemetry from Cortex XDR, VM‑Series NGFWs and Prisma Access into Google Security Operations to drive AI-powered analytics, threat hunting and faster investigation and response. Customers can execute automated playbook actions and procure qualified solutions via the Google Cloud Marketplace for streamlined deployment.

🔒 VMO2, with Google Cloud, implemented data contracts as machine-readable agreements to guarantee dataset quality, schema, semantics, and SLOs for individual assets like BigQuery tables and Cloud Storage buckets. Defined in YAML and managed via GitLab, contracts are validated and operationalized by Dataplex Universal Catalog, which provisions Data Quality Scan jobs and profiling. The platform uses Cloud Composer, Pub/Sub, and BigQuery to orchestrate scans, surface results, and provide dashboards for real-time observability.

🚀 Nutanix Cloud Clusters (NC2) is now generally available on Google Cloud, enabling organizations to run their Nutanix hybrid cloud directly on Google Compute Engine bare metal without refactoring workloads. NC2 supports the Z3 and C4 machine families with high-density NVMe local SSDs, integrates Nutanix Flow virtual networking, and maintains unified management via Prism Central. The solution connects to Google data and AI services like BigQuery and Vertex AI, supports license portability, and will be purchasable through Google Cloud Marketplace.

🔬 Chaos engineering converts disaster recovery assumptions into measurable facts by running controlled experiments that simulate realistic failures and quantify impact. Instead of relying on audits or tabletop drills, teams define a steady state, form testable hypotheses, inject targeted failures, and use automated probes to measure effects on SLOs. This approach exposes gaps such as failover delays or error spikes and provides data to iterate DR procedures. Start small, build confidence, and consider engaging Google Cloud professional services for guidance.

🛠️ Google's Application Design Center is now generally available, delivering a visual, canvas-style, AI-assisted environment to design and deploy Terraform-backed application templates. It pairs Gemini Cloud Assist with opinionated Terraform components to generate deployable infrastructure patterns and architecture diagrams. Integrated with App Hub and Cloud Hub, it makes applications discoverable, observable, and manageable, while supporting BYO-Terraform, GitOps, and enterprise governance to accelerate platform engineering and developer self-service.

🔁 Back Market migrated its data and core tech stack from AWS-based Snowflake and Databricks to Google Cloud, consolidating all historical and operational data in BigQuery. The team executed a two-week proof of concept and a live double-run migration that kept production on Databricks while writing to cloned BigQuery tables until outputs matched. They replaced AWS DMS with Datastream, implemented hourly batching to control small-file costs, and completed critical switchover in six months. The move halved data processing times, cut CDC costs by 90%, reduced technical debt, and improved observability, governance, and developer productivity.

🔐 This post from Adrien Delaroche at Google Cloud outlines three architectures for AI agents that interact with blockchains: the agent-controlled custodial model, a self-hosted variant, and the non-custodial transaction-crafter model. It explains security, performance, and malice risks when agents hold private keys and recommends returning unsigned transactions so users sign locally. The author demonstrates a sample implementation using Google ADK, Gemini 2.0 Flash, Cloud Run, and an Ethereum faucet, and urges MCP servers to support both signing and unsigned flows to balance automation with user safety.

🚀 The NVIDIA Run:ai Model Streamer now supports native Google Cloud Storage access, accelerating model load and inference startup for vLLM workloads on GKE. By streaming tensors directly from Cloud Storage into GPU memory and using distributed, NVLink-aware transfers, the streamer dramatically reduces cold-start latency and idle GPU time. Enabling it in vLLM is a single-flag change and it can leverage GKE Workload Identity for secure, keyless access.

🚀 Replit and Google Cloud have expanded a strategic, multi‑year partnership to bring vibe coding capabilities to enterprise developers and teams. Replit will continue to run on Google Cloud infrastructure—leveraging Cloud Run, Google Kubernetes Engine, BigQuery, and Vertex AI—and now supports Google models including Gemini 3, 2.5 Flash Lite, 2.5 Flash, and Imagen 4 to power coding and multimodal workflows. The agreement also includes joint go‑to‑market and co‑sell initiatives to accelerate adoption across enterprise customers.

🔍 Google Cloud has introduced data products in Dataplex Universal Catalog (preview), packaging curated data assets, documentation, and governance controls into purpose-built units aligned to business use cases. These data products let producers declare quality, freshness, ownership, and contractual guarantees while grouping assets to simplify access and reduce operational toil. Consumers can discover, request access, and rely on documented lineage and context to accelerate analytics. Google also positions data products as foundational inputs to more reliable AI and agent-driven workflows.

🔬 Google Cloud has made PubMed content available as a BigQuery public dataset with integrated vector search via Vertex AI, enabling semantic search across more than 35 million biomedical articles. Both BigQuery and Vertex AI Vector Search are FedRAMP High authorized, allowing organizations to run embedding models and VECTOR_SEARCH queries inside BigQuery. Early adopters like The Princess Máxima Center report literature reviews reduced from hours to minutes, and example SQL plus a demo repo are provided to help teams get started.

🔒 Meta and Vercel disclosed a critical remote code execution vulnerability in React Server Components (CVE-2025-55182) that also affected some Next.js releases. Google Cloud rolled out a preconfigured Cloud Armor WAF rule (cve-canary), is enforcing protections for Firebase Hosting, and recommends testing the rule in preview while enabling ALB request logging to consume telemetry. Customers should promptly update dependencies to React 19.2.1 and the patched Next.js releases and redeploy services to remove the vulnerability.

🚀 CME Group partnered with Google Cloud to migrate its critical trading databases to Cloud SQL, aiming to sustain ultra-low-latency operations and reduce operational overhead. The managed service provides built-in observability and AI-assisted insights that surface anomalies and suggest query optimizations, enabling teams to identify root causes in minutes. As a result, administrators focus on strategic improvements while developers iterate faster and collaborate across environments.

🎁 This holiday season Google Skills provides no-cost AI courses and hands-on labs taught by Google Cloud experts, intended for both technical and non-technical learners. Technical offerings include sandboxed labs covering Gemini Code Assist, Vibe coding, Model Context Protocol (MCP) integration, ADK agents, fine-tuning, and AI infrastructure, with 35 free monthly credits to practice in real environments. Non-technical content emphasizes leadership, Gemini Enterprise, NotebookLM, short practical lessons, and skill badges or certification prep to validate progress.

🎟️ Registration is now live for Google Cloud Next, returning to Las Vegas April 22–24, 2026. Secure early bird pricing at $999 for a limited time and join a global community of builders, engineers, and business leaders for keynotes, deep-dive sessions, hands-on labs, demos, hackathons, and workshops. Expect practical AI-focused content and collaborative networking designed to deliver actionable insights and skills.

🔐 Frenetik, a Maryland cybersecurity startup, emerged from stealth with a patented approach called Deception In-Use that continuously rotates real identities and resources across Microsoft Entra (M365), AWS, Google Cloud and on-prem environments. By routing critical change details through out-of-band channels accessible only to trusted parties, defenders retain accurate visibility while attackers operate on stale intelligence and are more likely to be funneled into decoys and honeypots.

🔍 Google Cloud has extended VPC Flow Logs to cover Cloud VPN tunnels and VLAN attachments for Cloud Interconnect and Cross-Cloud Interconnect, giving operators fuller visibility into hybrid and cross-cloud traffic. New gateway annotations (reporter and gateway object) add directional context and gateway metadata while logs retain 5-tuple granularity for precise flow identification. Use these logs to find elephant flows, audit Shared VPC hybrid bandwidth, validate DSCP markings, and troubleshoot on-prem-to-cloud connectivity. Logs integrate with Flow Analyzer for in-context analysis, connectivity tests, and natural-language queries.

🔗 Google Cloud and Amazon Web Services have jointly previewed the Cross‑Cloud Interconnect for AWS, a managed, on‑demand service that provisions private, secure connections between Google Cloud VPCs and AWS VPCs in minutes. The collaboration is published under an open specification to enable partner contributions and wider industry adoption. Preview bandwidth begins at 1 Gbps and will scale to 100 Gbps at GA, with MACsec encryption and managed key rotation as default security controls. The offering emphasizes simplicity, quad‑redundancy, and managed operations to reduce setup from days to minutes.

🔗 AWS and Google Cloud announced a jointly engineered multicloud networking solution that integrates AWS Interconnect - multicloud with Google Cloud’s Cross-Cloud Interconnect. The collaboration introduces an open API specification to automate private, high-speed connectivity and shifts multicloud setup from physical circuits to a managed, cloud-native experience. Customers can provision dedicated bandwidth in minutes via console or API, while the service enforces quad redundancy and MACsec encryption for secure, highly available links. The APIs are published openly for other providers and partners to adopt.