Cloud Computing

CodeRabbit, a rapidly growing AI code review tool, is leveraging Google Cloud Run to cut code review time and bugs in half by safely and efficiently executing untrusted code.  CodeRabbit improves code quality and automates code reviews by analyzing changes against the entire codebase and generating scripts for deeper analysis. It integrates with code hosting

For years, data teams have relied on the BigQuery platform to power their analytics and unlock critical business insights. But building, managing, and troubleshooting the data pipelines that feed those insights can be a complex, time-consuming process, requiring specialized expertise and a lot of manual effort. Today, we’re excited to announce our vision, a major

The unprecedented growth and unique challenges of AI applications are driving fundamental architectural changes to Google’s next-generation global network.  The AI era brings an explosive surge in demand for network capacity, with novel traffic patterns characteristic of large-scale model training and inference. Simultaneously, the critical need for unwavering reliability has reached new heights; in an

At Google Cloud Next 25, we announced incredible ways for enterprises to build multi-agent ecosystems with Vertex AI and Google Cloud Databases – including better ways for agents to communicate with each other using Agent2Agent Protocol and Model Context Protocol (MCP). With the growing excitement around MCP for developers, we’re making it easy for MCP

Agile product teams thrive on autonomy and rapid iteration, especially in the cloud where they can quickly deploy and test systems. However, traditional architecture governance often stands in their way, because many enterprises still impose centralized, one-off architecture signoffs early in the process. Historically, these signoffs verified design compliance with corporate standards in a slower,