Cloud Computing

Last year, we announced the public preview of Cost Anomaly Detection, an AI-powered product designed to eliminate one of the biggest anxieties of using the Cloud: unexpected costs. The goal was to provide a safety net that automatically identifies unusual spikes in spending, helping you catch issues before they become financial problems. Today, we are […]

Ray is an OSS compute engine that is popular among Google Cloud developers to handle complex distributed AI workloads across CPUs, GPUs, and TPUs. Similarly, platform engineers have long trusted Kubernetes, and specifically Google Kubernetes Engine, for powerful and reliable infrastructure orchestration. Earlier this year, we announced a partnership with Anyscale to bring the best

Welcome to the second Cloud CISO Perspectives for October 2025. Today, Jeanette Manfra, senior director, Global Risk and Compliance, shares her thoughts on the role of AI in risk management. As with all Cloud CISO Perspectives, the contents of this newsletter are posted to the Google Cloud blog. If you’re reading this on the website

As a DevOps engineer, Site Reliability Engineer, or application developer, how many times have you wrestled with complex queries to get the insights you need? Have you wished that there was an easier way to troubleshoot, identify root causes, and verify fixes, without being a SQL expert? We hear you loud and clear. That’s why

Cloud-native development is constantly evolving, and at Google, we’re dedicated to empowering developers and operators with tools that are both powerful and intuitive.  Today, we’re thrilled to dive into how the Gemini CLI and Google Kubernetes Engine (GKE) are coming together with the new open-sourcing of the GKE Gemini CLI extension. This extension brings GKE

The demand for AI inference infrastructure is accelerating, with market spend expected to soon surpass investment in training the models themselves. This growth is driven by the demand for richer experiences, particularly through support for larger context windows and the rise of agentic AI. As organizations aim to improve user experience while optimizing costs, efficient

Remember when online shopping meant typing specific keywords into a rigid search bar and endlessly scrolling through irrelevant results? Traditional e-commerce search, while common, helps only about 1 in 10 consumers find exactly what they’re looking for.  For designers and developers, this opens up possibilities to deliver on what users expect in the AI era.