Cloud Computing

From framework to scale: Accelerating autonomous networks at MWC 26

Last year, we unveiled our Autonomous Network Operations framework — a blueprint for Communication Service Providers (CSPs) to move beyond siloed automation toward self-healing, “zero-touch” networks. Today, we’re pivoting from networks that merely use AI for insights to intelligent agents capable of sensing, reasoning, and taking autonomous action. As we head into Mobile World Congress

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Centralized policy meets distributed logic: Getting to know Eventarc Advanced

Enterprise architects often face a fundamental dilemma: choosing between developer agility and organizational control. Development teams need to move fast and deploy independent microservices without waiting for permission. Security and compliance teams need to be safe, and ensure that data flow is observable and governed by policies. That’s why we built Eventarc Advanced, a serverless

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Give your agentic chatbots a fast and reliable long-term memory

When scaling conversational agents, the data layer design often determines success or failure. To support millions of users, agents need conversational continuity — the ability to maintain responsive chats while preserving the context backend models need. This article covers how to use Google Cloud solutions to solve two data challenges in AI: fast context updates

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Cloud CISO Perspectives: How Google approaches critical security topics, from fundamentals to AI

Welcome to the second Cloud CISO Perspectives for February 2026. Today, Royal Hansen, vice-president, Engineering, explains how we tackle today’s thorniest cybersecurity challenges. As with all Cloud CISO Perspectives, the contents of this newsletter are posted to the Google Cloud blog. If you’re reading this on the website and you’d like to receive the email

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