Cloud Computing

Understanding Calendar mode for Dynamic Workload Scheduler: Reserve ML GPUs and TPUs

Organizations need ML compute resources that can accommodate bursty peaks and periodic troughs. That means the consumption models for AI infrastructure need to evolve to be more cost-efficient, provide term flexibility, and support rapid development on the latest GPU and TPU accelerators. Calendar mode is currently available in preview as the newest feature of Dynamic

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BigQuery meets ADK & MCP: Accelerate agent development with BigQuery’s new first-party toolset

As the excitement around AI agents reaches enterprise customers, a critical question emerges: How can we empower these agents to securely and intelligently interact with enterprise data systems like Google Cloud BigQuery? Currently, the developers building agentic applications have been forced to build and maintain their own custom tools, a process that is slow, risky,

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The global endpoint offers improved availability for Anthropic’s Claude on Vertex AI

Anthropic’s Claude models on Vertex AI now have improved overall availability with the global endpoint for Claude models. Now generally available, the global endpoint unlocks the ability to dynamically route your requests to any region with available capacity supported by the Claude model you’re using. This helps you deploy Claude-powered applications and agents with more

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Too many threats, too much data, say security and IT leaders. Here’s how to fix that

An overwhelming volume of threats and data combined with the shortage of skilled threat analysts has left many security and IT leaders believing that their organizations are vulnerable to cyberattacks and stuck in a reactive state. That’s according to the new Threat Intelligence Benchmark, a commissioned study conducted by Forrester Consulting on behalf of Google

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Your guide to Google Cloud Security at Black Hat USA 2025

At Google Cloud Security, our mission is to empower organizations to strengthen their defenses with innovative security capabilities, all while simplifying and modernizing their cybersecurity. In a world of evolving threats and increasing complexity, we believe true security comes from clarity, not more noise.  We’re excited to bring this commitment to innovation and simplification to

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Your guide to taking an open model from discovery to a production-ready endpoint on Vertex AI

Developers building with gen AI are increasingly drawn to open models for their power and flexibility. But customizing and deploying them can be a huge challenge. You’re often left wrestling with complex dependencies, managing infrastructure, and fighting for expensive GPU access. Don’t let that complexity slow you down. In this guide, we’ll walk you through

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How Zapier runs isolated tasks on AWS Lambda and upgrades functions at scale

Zapier is a leading no-code automation provider whose customers use their solution to automate workflows and move data across over 8,000 applications such as Slack, Salesforce, Asana, and Dropbox. Zapier runs these automations through integrations called Zaps, which are implemented using a serverless architecture running on Amazon Web Services (AWS). Each Zap is powered by

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How HashiCorp made cross-Region switchover seamless with Amazon Application Recovery Controller

This blog was co-authored by Brandon Raabe, Sr. Site Reliability Engineer at HashiCorp. In cloud-based systems, minutes of downtime can translate to significant business impact and eroded customer trust. HashiCorp, a leader in multicloud infrastructure automation software, faced this critical challenge as their HashiCorp Cloud Platform (HCP) scaled to serve enterprise customers with stringent availability

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