EKS Auto Mode vs AKS Automatic, GKE Autopilot and Karpenter v1.15: fees, tiers, risks and a worked cost example, with a clear ...

Microsoft demonstrates how to validate database-backed AI applications locally and in CI using the Cosmos DB Emulator.

Deploy an AI agent on AWS Bedrock AgentCore with Strands, Gateway, Memory, and Runtime in this 12-step, 90-minute tutorial.

結論 Azure Kubernetes Service、以下AKSでAzure Linux 2.0のノードプールを使っている組織は、2026年10月31日までにAzure Linux 3へ移行し、スケール、ノード更新、アプリケーション継続性を検証する必要があります。 Microsoftは、Azure Linux 2.0のサポートとセキュリティ更新を2025年11月30日に終了し、ノードイメージを2 ...

Use this Azure CLI guide for AKS Chaos Mesh faults with Azure Chaos Studio Experiments (classic). For current-model node resilience tests, see AKS resilience testing with Chaos Studio Workspaces or ...

Microsoft will begin reporting Azure revenue in dollars for the first time, providing more clarity about its business that competes with Amazon Web Services. The company is trimming the number of ...

If you followed the previous tutorials, you have a working Kubernetes cluster and Azure Store Front app. In this tutorial, you scale out the pods in the app, try pod autoscaling, and scale the number ...

title Kubernetes on Azure tutorial - Use PaaS services with an Azure Kubernetes Service (AKS) cluster description In this Azure Kubernetes Service (AKS) tutorial, you learn how to use the Azure ...

You'll be able to run this Linux distro on both Azure and your desktop using Windows Subsystem for Linux. Here's what we know about it so far. I blinked. Backstage, Jim Zemlin, the Linux Foundation’s ...

Editor's note, May 19th 2026: Following publication, CERT/CC contacted BleepingComputer to clarify its handling of this report. CERT/CC did not independently validate or agree that the reported issue ...

In previous tutorials, you created and deployed an Azure Linux Container Host for AKS cluster. To complete this tutorial, you need to add an Azure Linux node pool to your existing cluster. If you ...

The Azure Kubernetes Service (AKS) team at Microsoft has shared guidance for running Anyscale's managed Ray service at scale. They focus on three key issues: GPU capacity limits, scattered ML storage, ...