『RunAs Radio』のカバーアート

RunAs Radio

RunAs Radio

著者: Richard Campbell
無料で聴く

今ならプレミアムプランが3カ月 月額99円

2026年5月12日まで。4か月目以降は月額1,500円で自動更新します。

概要

RunAs Radio is a weekly Internet Audio Talk Show for IT Professionals working with Microsoft products.Copyright © 2007-2026 by RunAs Radio 出世 就職活動 経済学
エピソード
  • My Home Lab
    2026/04/01

    Are you ready to take a look at Richard's home lab? Richard goes solo to share insights about the new infrastructure, hardware, and automation in his seaside home. He discusses the challenges posed by its remote location, including unreliable power and connectivity. You'll find plenty of details about networking, computing infrastructure, automation, telemetry, and experiments with AI technologies. Get an exclusive behind-the-scenes look!

    Links

    • Kubernetes
    • Ubiquiti Enterprise Campus Aggregation
    • Proxmox
    • nVidia H200 GPU
    • Prometheus
    • Grafana
    • Video Tour of Home Lab

    Recorded April 1, 2026

    続きを読む 一部表示
    10 分
  • Unified Tenant Management with Nik Charlebois-Laprade
    2026/03/25

    Configuration drift is real - how do you control it in your Azure tenant? Richard talks to Nik Charlebois-Laprade about his ongoing work on desired state configuration DSC for Microsoft 365 tenants. Microsoft365DSC has been an open-source tool for managing configuration for some time, but today it has become a preview product called Unified Tenant Configuration in Microsoft Graph. Nik talks about managing multiple tenants, including a single tenant, using reference configurations that help you detect and correct configuration changes. It's early days for the product, but there's a ton of power here to keep your tenant working the way you expect!

    Links

    • Microsoft365DSC
    • Unified Tenant Configuration

    Recorded February 13, 2026

    続きを読む 一部表示
    34 分
  • Sustainable AI with Darshna Shah
    2026/03/18

    How does artificial intelligence become more sustainable? Richard chats with Darshna Shah about her experiences as Chief AI Officer at Elastic. Darshna discusses the resources required to run large language model experiments, the pressure this has put on the electrical grid, and more. The conversation turns to efficiency - and the idea that there is little incentive in the current land grab around LLMs to be more efficient - that the focus is on growing quickly. But as technologies mature, efficiency becomes a key competitive advantage!

    Links

    • R
    • DeepEval
    • Azure AI Evaluation SDK
    • GitHub Green Software Foundation

    Recorded January 29, 2026

    続きを読む 一部表示
    43 分
まだレビューはありません