Cloud Computing

Google Pixel phones achieve DoDIN APL Certification: Secure, mission-ready mobile technology for federal agencies

In today’s complex and ever-evolving threat landscape, federal agencies require secure, reliable, and innovative solutions to fulfill their critical missions. Google Pixel phones have been added to the Department of Defense Information Network (DoDIN) Approved Products List (APL) – a significant milestone that underscores our commitment to providing federal agencies with secure, cutting-edge technology. Combined

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Building on the bananas momentum of generative media models on Google Cloud

It’s been exciting to see the capabilities of Nano Banana, our latest image editing model available in Gemini 2.5 Flash Image, go viral. And with transformative workflows like these, it is easy to see why: genmedia bundle carousel 1 Iterative refinement with Gemini 2.5 Flash Image genmedia bundle carousel 2 Context aware conversational editing with

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Accelerate AI with Agents: Event Series for Developers in EMEA

The future of technology is unfolding across EMEA, and Google Cloud is at the forefront of this transformation. We’re organizing a series of exciting events across the region, offering a unique opportunity for developers and tech enthusiasts to dive deep into the world of artificial intelligence, agents, and cloud computing. Whether you’re looking to use

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The oracles of DeFi: How to build trustworthy data feeds for decentralized applications

Distributed ledger technology (DLT) emerged with Bitcoin as a censorship-resistant way to conduct payments between distrusting peers. After a period, traditional financial institutions began to explore the technology, recognizing the potential of its immutability, decentralization, and programmability to redesign financial instruments and workflows. However, a foundational issue has stalled many enterprise blockchain projects at the

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Gemini CLI extension for PostgreSQL in action: Build a fuzzy search feature in minutes

Adding features to an app can be hard. One minute you’re writing code, the next you’re switching to the PostgreSQL database client to run a query, and then it’s over to the console to check on your instances. For example, let’s say you wanted to add search capabilities. This can mean adding the right extensions

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Forecasts and data insights come to BigQuery’s MCP and Agent Development Kit tools

For AI agents to be really useful, they need to be able to securely interact with enterprise data. In July, we introduced a toolset to help AI agents interact with and analyze business data in BigQuery through natural language, and with just a few lines of code. Today, we’re taking the next step, with “Ask

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Build resilient generative AI agents

Generative AI agents in production environments demand resilience strategies that go beyond traditional software patterns. AI agents make autonomous decisions, consume substantial computational resources, and interact with external systems in unpredictable ways. These characteristics create failure modes that conventional resilience approaches might not address. This post presents a framework for AI agent resilience risk analysis

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