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A solo-founder startup reduced query latency 47-fold and automated operations by consolidating global tender data on AlloyDB with MCP, eliminating separate databases and dedicated staff.
Google Data Cloud expands AI inference, batch job resilience, and streaming APIs while introducing synthetic data tools and managed Iceberg tables.
Google Cloud’s latest AI Threat Tracker outlines three key AI-driven security challenges and introduces an integrated, multi-model defense framework to counter evolving adversary tactics.
Orange transformed FinOps from a reporting task into a shared responsibility by combining community engagement with AI agents, enabling broader adoption and faster ROI across engineering teams.
Google Cloud has upgraded session management with granular controls, replacing broad defaults with precise, automation-friendly policies to reduce credential theft risks.
Google Cloud outlines a structured workflow and preparatory steps to minimize downtime during reliability incidents, emphasizing design, data, playbooks, and training before disruptions occur.
Google Cloud introduces an Autonomous Network Operations framework using Graph Neural Networks and Distributed GraphFlow to enable Level 5 network autonomy for telecom operators.
Google Cloud adds six augmented analytics functions to BigQuery to automate insight discovery and pattern explanation directly within the data warehouse.
Google Cloud is named a Leader in Forrester Wave™: Public Cloud Platforms, Q3 2026, achieving top scores in 23 of 30 criteria, including AI, security, and Kubernetes services.
Google Cloud released a new plugin for AI coding agents to simplify interactions with Google Cloud services, tools, and documentation.
Google has been named a Leader in Gartner’s 2026 Magic Quadrant for Enterprise AI Assistants, recognizing its unified platform for secure, scalable AI workflows across organizations.
Google Cloud explains why SQL Server logins do not migrate automatically during database moves and provides a Microsoft tool to safely recreate them in Cloud SQL for SQL Server.
Google Cloud’s Spanner database removes cumulative mutation limits for DML transactions, enabling larger, more complex operations while maintaining strong consistency and scalability.
KDDI’s Buffmee consumer RAG app cut response latency by 38% and improved groundedness by 25% using Google Cloud’s automated evaluation and analytics tools, enabling faster, reliable AI-powered learning.
Google Cloud introduces the Antigravity SDK to help teams build custom agent hubs with built-in safety, logging, and multi-turn persistence, enabling real-time monitoring and control of LLM-powered agents.
Google’s Finance Engineering team automated Spanner migrations using Antigravity CLI to refactor dual-write logic across dozens of DAOs without downtime, reducing manual effort and maintaining data parity.
Google Cloud benchmarking shows TPU v6e performance varies sharply between classification and generation workloads, with model size and concurrency shaping throughput and latency ceilings.
Google Cloud has made BigQuery Graph generally available, integrating native graph analytics into its data warehouse to connect enterprise data without ETL or silos.
Google Cloud’s August 2026 CISO Perspectives highlights rising cyber threats to U.S. water utilities, urging stronger security measures and AI-augmented defenses to protect critical infrastructure.
Google Cloud introduces the Data Agent Kit, an open-source toolkit that integrates orchestration pipelines directly into IDEs and CLIs, enabling data teams to build and manage workflows using natural language prompts...
Google Cloud announced AI infrastructure updates including Filestore backend improvements, gVisor in Ray clusters, new Cloud Run instances, and Managed Lustre GA with four performance tiers.
Pythian’s internal deployment of Google Cloud’s Gemini Enterprise revealed common enterprise AI pitfalls and led to the creation of a structured operating model that delivered measurable ROI.
Google Cloud introduced Cloud Run instances to support long-lived, stateful workloads like AI agents, offering a lower-cost alternative to dedicated VMs with predictable pricing and continuous HTTPS endpoints.
Google Cloud introduced Fault Injection Testing (FIT) in preview to help developers automate failure testing for cloud services, ensuring reliability during disruptions by simulating faults in distributed systems.
Google Cloud introduces a method to publish and govern Open Knowledge Format bundles across organizations using Knowledge Catalog, replacing scattered git repositories with a centralized, searchable index governed by...
Uber adopted Google Cloud’s application-aware Cloud Interconnect to prioritize critical traffic during migrations and peak loads, reducing congestion risk and enabling a smoother transition to Google Cloud.
Google Cloud introduced FinOps controls for Gemini Enterprise to manage AI spending and announced best practices for dynamic capacity management to address scaling challenges in the agentic AI era.
Google Cloud introduces flexible billing and cost controls for AI agent workloads, including pay-as-you-go options, pooled quotas, and savings plans to align costs with usage patterns.
Google Cloud launched Agent Valley, a free five-week live course teaching beginners to build AI agents using a low-poly virtual world and hands-on exercises led by a Google engineer.
Google Cloud and Anyscale introduce an experimental Ray library with gVisor sandboxing for secure, isolated execution of dynamic AI workloads, available on GKE.