Cloud Computing

Uber’s modern edge: A new approach to network performance and efficiency

Picture this: You’re ordering an Uber in Lisbon, but your request takes a scenic tour through Madrid, London, and Virginia before confirming your ride. That was the case for millions of users until Uber and Google Cloud set out on an even bigger journey: redesigning how global edge networks should work. Operating across six continents,

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Designing a multi-tenant GKE platform for Yahoo Mail’s migration journey

Yahoo is in the midst of a multi-year journey to migrate its renowned Yahoo Mail application onto Google Cloud. With more than 100 services and middleware components in the application, Yahoo Mail is primarily taking a lift-and-shift approach for its on-premises infrastructure, and strategically transforming and replatforming key components and middleware to leverage cloud-native capabilities.

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Start and scale your apps faster with improved container image streaming in GKE

In today’s fast-paced cloud-native world, the speed at which your applications can start and scale is paramount. Faster pod startup times mean quicker responses to user demand, more efficient resource utilization, and a more agile development and deployment lifecycle overall. We’re continuously working to enhance the performance of Google Kubernetes Engine (GKE) to help you

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How Google does it: Your guide to platform engineering

What guides your approach to software development? In our roles at Google, we’re constantly working to build better software, faster. Within Google, our Developer Platform team and Google Cloud have a strategic partnership and a shared strategy: together, we take our internal capabilities and engineering tools and package them up for Google Cloud customers. At

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Smarter Authoring, Better Code: How AI is Reshaping Google Cloud’s Developer Experience

The mission of the Google Cloud Developer Experience team is simple: to help developers get from learning to launching as quickly and effectively as possible. Two of our primary tools for this are the robust hands-on documentation and the ready-to-use code samples embedded directly within it, which developers rely on every day. As Google Cloud’s

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The University of Hawaii is helping the state retain top talent with Google AI

As the Hawaiian Islands’ primary higher education resource, the University of Hawaii (UH) System faces a unique challenge among U.S. universities: many graduates–including those with deep family roots in Hawaii – are soon confronted with a competitive job market, and struggle to land a fulfilling entry-level role and starting salary commensurate with Hawaii’s higher-than-average cost

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Tutorial: How to use the Gemini Multimodal Live API for QA

The Gemini Multimodal Live API is a powerful tool that allows developers to stream data, such as video and audio, to a generative AI model and receive responses in real-time. Unlike traditional APIs that require a complete data upload before processing can begin, this “live” or “streaming” capability enables a continuous, two-way conversation with the

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Google is a Leader in the 2025 IDC MarketScape for Business Intelligence and Analytics Platforms

We are pleased to share that IDC has named Google a Leader in the IDC MarketScape: Worldwide Business Intelligence and Analytics Platforms 2025 Vendor Assessment. We believe this position is a testament to our continued focus on delivering a modern, AI-infused business intelligence platform that empowers organizations to make data-driven decisions at scale. You can

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How to build a deep research agent for lead generation using Google’s ADK

Traditional lead generation often relies on brittle scrapers and static scripts that lack the ability to adapt or reason. What if we could architect an agent that doesn’t just fetch data, but emulates the analytical process of a market research team? An agent that can discover patterns, validate information, and generate qualified leads based on

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