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Virtual Event
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

Group Manager Development, Intuit
Amit leads engineering team's at Intuit, which are currently working to deliver observability and actionable insights on Intuit’s next-generation SaaS platform on Kubernetes in AWS. Amit's area of interests is managing and developing large distributed systems, Observability and... Read More →
VM

Vigith Maurice

Principal Engineer, Intuit
Vigith is a Principal Software Engineer for the Intuit Modern SaaS team in Mountain View, California. Intuit's thousands of services run on hundreds of Kubernetes clusters managed by Modern SaaS platform. Before he started in Modern SaaS team, he has been a key driver for Intuit's... Read More →



Friday November 20, 2020 5:55pm - 6:30pm EST
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