Evan and Sujit talk to Allison Jones, a Group PM for Azure's AIOps System Team. She gives us insights into how Microsoft uses AI/ML to analyze various signals from Azure to provide actionable information about the state of the platform.
 
Media file: https://azpodcast.blob.core.windows.net/episodes/Episode459.mp3
YouTube: https://youtu.be/Ousa2qWQEiQ
Resources: 
Blogs
Advancing Azure Service quality with artificial intelligence: AIOps
Advancing failure prediction and mitigation – introducing Narya
Advancing safe deployment with AIOps – introducing Gandalf
Advancing anomaly detection with AIOps – introducing AiDice 
 
Webinars
AIOps webinar @ Harvard in Tech Seattle by Dongmei Zhang, Marcus Fontoura, Murali Chintalapati, and Igal Figlin
AIOps Distinguished Industry Lecture by Mark Russinovich at Carneige Mellon University
In addition, the customer can learn more about cutting edge AIOps solutions across industry through participation of Cloud Intelligence / AIOps workshop. 
 
Other updates:
Generally available: Azure Monitor alerts now suggests signals to alert on | Azure updates | Microsoft Azure
 
Azure Advisor VM/VMSS right-sizing recommendations with custom lookback period | Azure updates | Microsoft Azure
 
https://azure.microsoft.com/en-us/updates/generally-available-serverless-sql-for-azure-databricks/
https://azure.microsoft.com/en-us/updates/generally-available-azure-event-hubs-dedicated-selfserve-scalable-clusters-for-mission-critical-kafka-amqp-and-https-workload/

https://azure.microsoft.com/en-us/updates/generally-available-ebsv5-and-ebdsv5-nvmeenabled-vm-sizes/