Monday, May 20 • 11:30am - 11:50am
AIOps: Challenges and Experiences in Azure

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While AI and Machine Learning are transforming the whole industry, AIOps is transforming cloud service building and operating. The value of AIOps can be broad and at least include service quality assurance, customer experience at scale, continuous COGS reduction, and boosting engineers’ productivity. Building AIOps solutions has unique challenges compared to applying AI and ML in other domains. In this talk, we will share the challenges we met in Azure in building AIOps solutions, and our experiences on solving these challenges. We will also share a few case studies, including (1) our disk failure prediction service that predict disk health condition and proactively live migrate the workloads to a healthy disk. (2) An end-to-end analytics service, for safe deployment in large-scale system infrastructure based on ensemble ranking and spatial/temporal algorithms using lambda architecture (3) An anomaly detection and auto diagnosis service that monitor the essential telemetrics in the cloud system.


Ze Li

Micrsoft Azure
Dr. Ze Li is a data scientist in Microsoft Azure. Currently, he focus on using data driven and AI technologies to enable efficiently and effectively building and operating cloud service, such as safe deployment in large scale system, intelligent anomaly detection and pattern mining... Read More →

Yingnong Dang

Microsoft Azure
Yingnong Dang is a Principal Data Scientist Manager in Microsoft Azure. Yingnong's focus is on building analytics and ML solutions for improving Azure Infrastructure availability and capacity, boosting engineering productivity, and increasing customer satisfaction. Yingnong and the... Read More →

Monday May 20, 2019 11:30am - 11:50am
Winchester Room

Attendees (13)