Episode 459 - AIOps

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/