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InfoQ Homepage Presentations How Machines Help Humans Root Case Issues @ Netflix

How Machines Help Humans Root Case Issues @ Netflix

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Summary

Seth Katz discusses ways to build tools designed to enhance the cognitive ability of humans through automated analysis to speed root cause detection in distributed systems. He focuses on examples from large scale systems at Netflix, on the systems directly involved in browsing and playing Netflix movies, and how pairing automation with human feedback reduces time to detect and resolve issues.

Bio

Seth Katz is Senior Software Engineer, Operational Insights at Netflix. He has been responsible for building the insights tooling around Netflix servers for the past 5 years. He pioneered Netflix's streaming visualization data platforms, the contextual system tracing tools and analytics, and the anomaly systems for detecting and troubleshooting problems on Netflix’s most mission critical servers.

About the conference

Software is changing the world. QCon empowers software development by facilitating the spread of knowledge and innovation in the developer community. A practitioner-driven conference, QCon is designed for technical team leads, architects, engineering directors, and project managers who influence innovation in their teams.

Recorded at:

Aug 23, 2018

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