Episode 491 - Azure Service Retirement Workbook The Azure Podcast

    • Technology

The team talks with Amit Bajaj about the new Retirement Workbook customers can use to keep track of services they are using that are being retired.   Media file: https://azpodcast.blob.core.windows.net/episodes/Episode491.mp3 YouTube: https://youtu.be/Z83s9lhOUTg Resources: Prepare migration of your workloads impacted by service retirements. - Azure Advisor | Microsoft Learn Azure Service Retirement Workbook (microsoft.com)  Visualize Azure Service Retirements (microsoft.com)  3-Year Notification Subset - Microsoft Lifecycle | Microsoft Learn   Other updates: Public preview: Public IP Domain Name Label Scope | Azure updates | Microsoft Azure Public preview: Database watcher for Azure SQL | Azure updates | Microsoft Azure Public Preview: Azure Kubernetes Service (AKS) on VMware | Azure updates | Microsoft Azure

The team talks with Amit Bajaj about the new Retirement Workbook customers can use to keep track of services they are using that are being retired.   Media file: https://azpodcast.blob.core.windows.net/episodes/Episode491.mp3 YouTube: https://youtu.be/Z83s9lhOUTg Resources: Prepare migration of your workloads impacted by service retirements. - Azure Advisor | Microsoft Learn Azure Service Retirement Workbook (microsoft.com)  Visualize Azure Service Retirements (microsoft.com)  3-Year Notification Subset - Microsoft Lifecycle | Microsoft Learn   Other updates: Public preview: Public IP Domain Name Label Scope | Azure updates | Microsoft Azure Public preview: Database watcher for Azure SQL | Azure updates | Microsoft Azure Public Preview: Azure Kubernetes Service (AKS) on VMware | Azure updates | Microsoft Azure

Top Podcasts In Technology

Acquired
Ben Gilbert and David Rosenthal
Lex Fridman Podcast
Lex Fridman
Tzeza Talk
Μιχάλης Τζεζαϊρλίδης
Practical AI: Machine Learning, Data Science
Changelog Media
The AI Daily Brief (Formerly The AI Breakdown): Artificial Intelligence News and Analysis
Nathaniel Whittemore
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Sam Charrington