Cloud Computing

Don’t just flag it, fix it: How to run CodeMender in your pull requests

As many developers use agentic tools to create more code faster than ever before, the code has gotten more complex and they’re taking longer to find and fix software flaws.   Helping to address that pressure is a key concern at Google. We know that software development velocity is increasing, as much as 2x for some

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Inside the Gemini factory: Accelerating partner solutions

With the new unified Gemini experience, enterprises can bring third-party partner capabilities directly in Gemini through standardized connectors (spanning Model Context Protocol (MCP), Agent-to-Agent (A2A) runtimes, and REST APIs), alongside emerging declarative skills and plugins. For independent software vendors (ISVs), this unified architecture unlocks a powerful opportunity to embed domain-specialized intelligence, regulated workflows, and live

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Self-service regional failover with Amazon Application Recovery Controller Region Switch and centralized ingress controls

In highly regulated industries such as financial services, healthcare, and government, security isn’t negotiable. Compliance frameworks require defense in depth strategies where incoming requests are inspected against security policy to confirm they are safe before reaching applications. Organizations typically solve this challenge by implementing centralized ingress proxy fleets: hardened entry points that enforce consistent authentication,

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The Blueprint: How Authentic Brands Group expands creativity with AuthOS

Welcome to The Blueprint, a new feature where we highlight how Google Cloud customers are tackling unique and common challenges across industries using the latest AI and cloud technologies. We hope to inspire others looking to innovate in their work. Authentic Brands Group, a global lifestyle and entertainment platform, is the owner of some of

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The open AI-native stack on Kubernetes: From open models to distributed inference and agents

Over the past decade, Kubernetes established itself as the standard for orchestrating microservices and containerized applications. Today, we’re witnessing the next major architectural shift in distributed computing: AI workloads moving from isolated research prototypes into large-scale, multi-tenant production fleets. In this post, we’ll walk through the open-source stack that powers this shift and show you

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