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November 17–November 20, 2020
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Friday, November 20 • 5:55pm - 6:30pm
Analyzing Operational Data at Scale Using ML at Intuit - Amit Kalamkar & Vigith Maurice, Intuit

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Intuit is running ~2000 services in preprod and prod on Kubernetes which needs a fast and easy way to detect and isolate problems via automated analysis of operational data. In this talk, we will present how we collect, analyze and present real-time operational data using an Operational Data Lake built using stream processing and efficient data structures and cache. It is a warehouse for clean, documented, and schematized operational data based on different cloud infrastructure, kubernetes and application events and metrics. In particular, we will show how we use simple ML techniques to automatically detect anomalies in impacted services as well as the causal service . We will also demo how this helps us quickly detect and identify production issues.
Speakers
avatar for Amit Kalamkar

Amit Kalamkar

Director, Intuit
Amit is Director of Engineering at Intuit responsible for Observability and Analytics which covers Observability , Operational Data Lake and Platform Analytics. He is also responsible for open source projects Argo and Numaproj. He is currently working to deliver observability and... Read More →
avatar for Vigith Maurice

Vigith Maurice

Principal Engineer, Intuit Inc
Vigith is a Principal Software Engineer for the Intuit Observability and Analytics team in Mountain View, California. One of Vigith's current day-to-day focus areas is on the various challenges in building scalable, data and AIOps solutions for both batch and high throughput systems... Read More →

Kubecon 2020 Analyzing Operational Data at Scale using ML at Intuit pdf
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Friday November 20, 2020 5:55pm - 6:30pm EST
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