Cloud Computing

Going from requirements to prototype with Gemini Code Assist

Imagine this common scenario: you have a detailed product requirements document for your next project. Instead of reading the whole document and manually starting to code (or defining test cases or API specifications) to implement the required functions, you want to see how AI can shorten your path from the requirements document to a working […]

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Google Public Sector and Palantir collaborate to bring Google Cloud to FedStart

At Google Public Sector, we are committed to helping our customers execute their missions. Now, we’re expanding this commitment by adding support for Palantir’s FedStart platform, so public sector customers can utilize software and applications on Google Cloud’s accredited infrastructure through the Palantir FedStart platform. Palantir FedStart helps U.S. government agencies achieve compliance, scale operations,

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M-Trends 2025: Data, Insights, and Recommendations From the Frontlines

One of the ways threat actors keep up with the constantly evolving cyber defense landscape is by raising the level of sophistication of their attacks. This trend can be seen across many of our engagements, particularly when responding to China-nexus groups. These actors have demonstrated the ability to create custom malware ecosystems, identify and use

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Google Cloud Database and LangChain integrations now support Go, Java, and JavaScript

Last year, Google Cloud and LangChain announced integrations that give generative AI developers access to a suite of LangChain Python packages. This allowed application developers to leverage Google Cloud’s database portfolio in their gen AI applications to drive the most value from their private data. Today, we are expanding language support for our integrations to

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50% faster merge and 50% fewer bugs: How CodeRabbit built its AI code review agent with Google Cloud Run

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

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Automate data pipelines with BigQuery’s new data engineering agent

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

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Diving into the technology behind Google’s AI-era global network

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

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MCP Toolbox for Databases: Simplify AI Agent Access to Enterprise Data

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

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