Cloud Computing

Next-gen caching with Memorystore for Valkey 9.0, now GA

Backend developers and architects building high-throughput, low-latency applications increasingly rely on Valkey, an open-source, high-performance key-value datastore that supports a variety of workloads such as caching and message queues. At Google Cloud, we offer a fully managed version as part of Google Cloud Memorystore, and today, we’re excited to announce the general availability (GA) of […]

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The Proliferation of DarkSword: iOS Exploit Chain Adopted by Multiple Threat Actors

Introduction  Google Threat Intelligence Group (GTIG) has identified a new iOS full-chain exploit that leveraged multiple zero-day vulnerabilities to fully compromise devices. Based on toolmarks in recovered payloads, we believe the exploit chain to be called DarkSword. Since at least November 2025, GTIG has observed multiple commercial surveillance vendors and suspected state-sponsored actors utilizing DarkSword

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Build a Multi-Agent System for Expert Content with Google ADK, MCP and Cloud Run – Part 1

My team’s mission is to accelerate the developer journey from writing code to running secure AI workloads on Google Cloud. To help developers succeed, we focus on identifying their most pressing questions and building demos that provide straightforward, easy-to-implement solutions. Recently, I was struck with inspiration when the new Developer Knowledge MCP server was released.

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Introducing multi-cluster GKE Inference Gateway: Scale AI workloads around the world

The world of artificial intelligence is moving fast, and so is the need to serve models reliably and at scale. Today, we’re thrilled to announce the preview of multi-cluster GKE Inference Gateway to enhance the scalability, resilience, and efficiency of your AI/ML inference workloads across multiple Google Kubernetes Engine (GKE) clusters — even those spanning

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Google Cloud and NVIDIA expand AI innovation across industries at GTC 2026

The era of agentic AI is fundamentally changing enterprise infrastructure needs. As organizations build systems capable of dynamic reasoning and autonomous execution, the underlying infrastructure must evolve as well. Scaling these agentic workloads alongside massive mixture-of-experts (MoE) architectures demands a deeply optimized co-engineered stack. To meet these demands, we’ve built the Google Cloud AI Hypercomputer,

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BigQuery Studio is more useful than ever, with enhanced Gemini assistant

Modern data teams dedicate a huge portion of their time to managing analytics overhead rather than just analyzing data. This includes tasks such as identifying necessary data, configuring schedules, or investigating the reasons behind a stalled job. Beyond these operational challenges, they also need an assistant that is versed in their data and has the

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BigQuery Studio is more useful than ever, with enhanced Gemini assistant

Modern data teams dedicate a huge portion of their time to managing analytics overhead rather than just analyzing data. This includes tasks such as identifying necessary data, configuring schedules, or investigating the reasons behind a stalled job. Beyond these operational challenges, they also need an assistant that is versed in their data and has the

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Ransomware Under Pressure: Tactics, Techniques, and Procedures in a Shifting Threat Landscape

Written by: Bavi Sadayappan, Zach Riddle, Ioana Teaca, Kimberly Goody, Genevieve Stark Introduction  Since 2018, when many financially motivated threat actors began shifting their monetization strategy to post-compromise ransomware deployments, ransomware has become one of the most pervasive threats to organizations across almost every industry vertical and region. In recent years ransomware operations have evolved,

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