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/