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Ubuntu images on Microsoft Azure have recently started shipping with the open source package azure-vm-utils included by default. Azure VM utils is a package that provides essential utilities and udev rules to optimize the Linux experience on Azure. This change results in more reliable disks, smoother networking on accelerated setups, and fewer tweaks to get things running. Here’s what you need to know.

As excitement builds for KubeCon North America 2025 in Atlanta, Densify has released its latest innovation for Kubernetes and AI-driven infrastructure resource management: the Densify Model Context Protocol (MCP) Server. This new capability enables organizations to securely integrate Densify’s Kubex resource optimization intelligence directly into popular LLM-powered tools — including ChatGPT, Claude, Cursor, and Gemini CLI.

When Azure Front Door began to fail on October 29, 2025, hundreds of downstream services, including Microsoft 365, Teams, SharePoint, and Azure SQL, went dark. While Microsoft didn’t publicly acknowledge the issue until 12:35 PM ET, StatusGator dashboards were already lighting up nearly 50 minutes earlier. StatusGator notified its subscribers of an Azure outage 42 minutes prior to the official status page at 11:53 AM ET.

Imagine you are building an e-commerce app. Every time a customer places an order, a lot happens behind the scenes. For example, you need to charge their card, update inventory, create a shipping label, and send a confirmation email. You could try to write one giant program that does everything in the correct order, but that quickly becomes a tangled mess — especially if something fails halfway through (say, payment succeeds but inventory update fails).

For years, enterprises have turned to Oracle Cloud Infrastructure (OCI) for what it does best: powering mission-critical applications with unmatched performance, security, and predictable economics. OCI has historically staked its reputation on being the go-to platform for organizations running complex, data-intensive workloads, from core databases and ERP systems to large-scale compute clusters, while putting extra focus on security and predictable pricing.

The Problem: AI workloads are dynamic, unpredictable, and expensive. Data prep can choke your pipeline, training jobs hog GPUs without awareness, and inference, the most latency-sensitive phase, is notoriously hard to scale efficiently. Worse, traditional infrastructure tools treat GPU as a static commodity, ignoring model intent, workload shape, and sharing capabilities.

Almost all companies have some kind of online presence, and if yours doesn’t, it definitely should. In order to make a splash online, your business needs content, webpages, photos, documents, PDFs, videos, you name it. How do you keep track of all the various media? Where do you store it and back it up? What’s the most convenient and safe way to collaborate and share it with employees and freelancers? Enter all-in-one cloud storage services for businesses like Dropbox and Box.