All news with #google cloud tag

🚀 Filestore, Google Cloud’s first-party NFS file service, now runs on Colossus, Google’s distributed storage system, to deliver greater scalability, flexibility, and operational efficiency. The update decouples capacity from performance so IOPS can be provisioned independently, and offers deep GKE integration including CSI driver support and multishares for smaller persistent volumes. Backed by Colossus, Filestore targets high-concurrency AI and agentic workflows with NFS-based shared workspaces, improved failure recovery, and integrated security via IAM, UIDs/GIDs, and IP ACLs.

🧩 Deutsche Bank adopted Google Cloud's Apigee to transform monolithic systems into a governed, scalable API ecosystem. The platform centralizes documentation, security policies, and governance while enabling discoverability and reuse across teams. Apigee enforces least-privilege access, rate limiting, and observability, and supports resilience, auto-scaling, and caching for high performance. This API-first foundation positions the bank for AI-ready, low-latency services and emerging standards.

🔁 This article explains how Google Cloud's Database Migration Service (DMS) automates translating SQL Server stored procedures that return multiple result sets into PostgreSQL equivalents. It outlines the decision matrix that maps simple single-result procedures to PROCEDURE objects and complex multi-result or mixed-return routines to FUNCTIONs returning SETOF refcursor, and describes the testing and application integration changes required.

🤖 Google Cloud announced two AI-powered database agents — the Database Onboarding Agent for Day 0 setup and the Database Observability Agent for Day 1/2 monitoring and remediation — introduced as part of the Agentic Data Cloud at Google Cloud Next ‘26. These always-on agents integrate with Chat, CLI, the Cloud console, MCP servers, and IDEs to automate provisioning, configuration, telemetry correlation, root-cause analysis, and validated remediations. The Observability Agent leverages Gemini and multiple telemetry sources to surface fleet-level insights, in-product investigations, and actionable fixes, while the Onboarding Agent recommends appropriate database types and configurations based on application requirements. Supported services include AlloyDB, Bigtable, Cloud SQL, Firestore, Memorystore, and Spanner, and capabilities are available via Gemini Cloud Assist and select previews.

🔍 Google Cloud outlines an AI-accelerated, iterative approach to mainframe modernization that avoids risky "big bang" migrations. The strategy combines Gemini-based code reasoning with mainframe-specific tools across four pillars: assessment, modernization, de-risking, and data migration. Key capabilities include the Mainframe Assessment Tool for dependency mapping and business rule extraction, agentic modernization workflows for rewrite or deterministic modernization, Dual Run for live validation, and a Mainframe Connector for data migration.

🔍 Google Cloud announces general availability of Cortex Framework v7, designed to convert SAP transactional data into AI-ready, semantically rich data products deployed in BigQuery and registered in Knowledge Catalog. The release introduces purpose-built accelerators for SAP ERP and SAP Business Data Cloud, modular Dataform-powered deployments, and incremental, cost‑efficient processing to scale without extra infrastructure. New agent skills include an agentic data product builder to automate custom data product creation and preserve separation between vendor-delivered content and customer customizations.

🧭 Data Commons on Spanner Graph general availability and a preview of the Data Commons Platform simplify linking private enterprise data with Google's extensive public knowledge graphs. The platform consolidates standardized public datasets from over 100 providers into a unified graph with >400 billion observations and leverages Spanner Graph for native GQL support, incremental updates, and consistent snapshots. Organizations can deploy private instances to federate private and public knowledge graphs while retaining data isolation and enabling natural language query workflows.

🔔 Google Cloud summarizes recent AI infrastructure launches, enhancements, and resources across compute, storage, networking, orchestration, and developer tooling. Highlights include GA releases for Managed Lustre and C4N VMs, scaling improvements for GKE Dataplane V2, new cooperative time-slicing for llm-d, and open-sourced AI supply-chain tooling in k8s-aibom. The post also links to technical blueprints, how-to guides, benchmarks, and customer stories illustrating performance and optimization techniques.

🛡️ This Cloud CISO Perspectives piece from Google Cloud explains why AI-native defensive strategies should be a board-level priority. Authors Chris Betz and Alicja Cade outline how AI Threat Defense (AITD) shifts security from reactive to automated, enabling business speed and resilience. The article offers five governance-focused questions for directors to assess modernization, remediation, consolidation, contextual prioritization, and AI safety.

🔒 Google Cloud announced preview support for Identity and Access Management (IAM) group authentication in AlloyDB, extending an identity-driven, passwordless access model to enterprise database workloads. The feature aligns AlloyDB with Cloud SQL by enabling group-based access controls to reduce individual account sprawl, simplify on- and off-boarding, and improve auditing. It also helps secure AI agents by ensuring actions map to user identities and limiting privilege escalation.

🧭 Today at Next Tokyo, Google Cloud announced enhancements to its borderless Lakehouse built on Apache Iceberg, enabling cross-cloud, zero-copy analytics and federated catalogs. The platform lets Gemini Enterprise and conversational agents query and act on live data across on-prem, AWS, Azure, and major SaaS systems without heavy ETL. New features include catalog federation (preview), Cross-Cloud Interconnects with predictable pricing, intelligent caching, and integration with Knowledge Catalog for unified governance and context.

🗂️ Google Cloud has advanced Conversational Analytics from experiments into enterprise-ready offerings across BigQuery, Looker, and preview support for AlloyDB, Cloud SQL, and Spanner. The platform supports querying data across clouds, Lakehouse and Iceberg catalogs, and integrates into tools like BigQuery Studio, Looker, and Gemini Enterprise. Enterprises gain governance features such as CMEK, VPC, DRZ, and row- and column-level access controls, plus cost and observability tools via OpenTelemetry. Agentic Workflows, anomaly detection, and APIs/SDKs enable embedding conversational agents across applications and workflows.

🔒 Google Cloud Key Management Service (Cloud KMS) now offers general availability support for quantum‑safe digital signatures (ML‑DSA, SLH‑DSA) and ML‑KEM post‑quantum key encapsulation. The release addresses the challenge of signing large payloads by supporting pre‑hash and external‑µ variants to enable efficient HSM and KMS signing workflows. Cloud KMS includes multiple ML‑DSA and SLH‑DSA variants mapped to NIST security categories to help organizations meet emerging standards and regulatory timelines. Developers can manage PQC keys and integrate signing via the Cloud KMS API with documentation and examples provided.

🛡️ Google Cloud announces two native billing features: Early Anomalies for AI services and Spend Caps on Budgets. Early Anomalies monitors daily service-level cost signals, builds dynamic baselines, and issues RCA highlighting top SKUs driving surges. Spend Caps let you set monthly financial caps per project and service that automatically block further billable usage when reached, while preserving data and resources.

🔒 Best Buy eliminated service account key hassles by adopting Google Cloud's Workforce Identity Federation to let developers use their existing Microsoft Entra ID credentials for secure access to BigQuery and other cloud services. This syncless approach removes the need to synchronize user records into Cloud Identity, reduces credential management and attack surface, and delivers auditable, user-level access. The change is largely invisible to developers while simplifying operations for security and platform teams.

🚀 SAP and Google Cloud announced general availability of SAP Business Data Cloud Connect for BigQuery, enabling zero-copy, bi-directional access between SAP Business Data Cloud and BigQuery. The integration exposes SAP tables, metadata, and business semantics directly in BigQuery and Knowledge Catalog to accelerate analytics and agentic AI while reducing data replication and costs. Early adopters report faster data pipelines and improved operational insights.

🌤️ NOAA has selected Google Cloud as the primary provider of high-performance computing for the Weather and Climate Operational Supercomputing System (WCOSS). This move marks a shift toward cloud-first infrastructure, using H4D VMs powered by fifth-generation AMD EPYC™ processors to support compute-intensive numerical weather prediction. The collaboration builds on years of joint projects in data sharing, wildfire tracking, and advanced modeling, aiming to improve forecast accuracy and public safety.

🤖 Voicify partnered with Google Cloud to transform phone calls into reliable, AI-driven interactions for restaurants and healthcare. By adopting Gemini Enterprise and Vertex AI, the company improved latency, reduced costs, and achieved enterprise-grade security and compliance. Their orchestration platform validates orders against POS systems, handles traffic spikes with provisioned throughput and pay-as-you-go, and shortened client onboarding dramatically. The architecture emphasizes scalability, data integrity, and multicloud availability.

🚀 Checkout.com migrated from a self-hosted Apache Airflow to Google Cloud’s Managed Service for Apache Airflow (Gen 3) to reduce operational overhead and improve reliability. The move eliminated manual patching and scaling, introduced DAG isolation and managed upgrades, and integrated with Cloud Monitoring and Cloud Logging for better visibility. As a result, the team saw faster deployments, higher stability, and estimated monthly cost savings of ~30%.

🔒 AlloyDB, a PostgreSQL-compatible managed service, now offers columnar engine accelerated HNSW to speed up pgvector vector search. This preview feature pins HNSW indexes in a compressed, in-memory columnar cache to reduce buffer-manager overhead and enable up to 4x higher QPS compared to standard PostgreSQL. The enhancement requires simple flag changes and uses the same pgvector SQL syntax, delivering higher throughput and improved AI recall without application changes.