Cloud Computing

Automate safety monitoring with computer vision and generative AI

Workplace safety has improved dramatically over the past several decades. According to the Bureau of Labor Statistics, occupational injury rates in the United States have declined by more than 60% since the early 1970s. This is driven by stronger regulations, better training programs, and a growing culture of safety-first operations. Despite this progress, the International […]

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Run real-time and async inference on the same infrastructure with GKE Inference Gateway

As AI workloads transition from experimental prototypes to production-grade services, the infrastructure supporting them faces a growing utilization gap. Enterprises today typically face a binary choice: build for high-concurrency, low-latency real-time requests, or optimize for high-throughput, “async” processing. In Kubernetes environments, these requirements are traditionally handled by separate, siloed GPU and TPU accelerator clusters. Real-time

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Streamlining access to powerful disaster recovery capabilities of AWS

Learn how you can use AWS services like AWS Backup and AWS Elastic Disaster Recovery (AWS DRS), along with AWS Resilience Competency Partner solutions like Arpio to implement powerful and comprehensive Disaster Recovery solutions. Resilience is the ability of your application to keep running even when “bad stuff” happens. A critical part of your resilience

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Spanner’s multi-model advantage for the era of agentic AI

In the age of agentic AI, the role of databases is fundamentally changing. It’s evolving from a passive data repository into an intelligent, active context hub designed to ground generative AI foundation models and a reasoning engine that drives proactive actions. To power sophisticated AI and agentic workflows, a database must do more than store

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Real-world success with Spanner’s fully interoperable multi-model database

In the first post on the power of multi-model databases to lay the foundations for gen AI, we highlighted how Google Cloud Spanner helps organizations overcome some  of the challenges presented by traditional approaches to database architecture and management. In this post, we dive deeper on the specific examples, across four common use cases.  We

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Uplevel your workload scaling performance with GKE active buffer

In dynamic cloud environments, unexpected traffic spikes or scheduled scaling events can easily strain user workloads. Whether you’re running a retail application during a flash sale or a gaming platform during peak player activity, your business-critical workloads need to scale up quickly and smoothly to handle new load. In fact, having compute capacity that is

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How AI-powered tools are driving the next wave of sustainable infrastructure and reporting

As generative AI continues to scale, a shift is occurring at the  intersection of sustainability and technology.  For years, reporting teams were bogged down by scattered data and labor-intensive documentation, leaving little space for strategic sustainability work.  But for those now adopting AI, they’re spending less time trying to answer for the impact of last

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North Korea-Nexus Threat Actor Compromises Widely Used Axios NPM Package in Supply Chain Attack

Written by: Austin Larsen, Dima Lenz, Adrian Hernandez, Tyler McLellan, Christopher Gardner, Ashley Zaya, Michael Rudden Introduction  Google Threat Intelligence Group (GTIG) is tracking an active software supply chain attack targeting the popular Node Package Manager (NPM) package “axios.” Between March 31, 2026, 00:21 and 03:20 UTC, an attacker introduced a malicious dependency named “plain-crypto-js“

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Multi-Agent Architecture and Long-Term Memory with ADK, MCP, and Cloud Run

In support of our mission to accelerate the developer journey on Google Cloud, we built Dev Signal—a multi-agent system designed to transform raw community signals into reliable technical guidance by automating the path from discovery to expert creation In the first part of this series for the Dev Signal, we laid the essential groundwork for this

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