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"OPEN TALK: Using Machine Learning on Logs to Find Root Cause Faster"

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Gavin Cohen
Zebrium, VP Product

With over 20 years of experience across a diverse range of roles, Gavin Cohen has the passion and experience to define and build a new market category for Zebrium. Prior to Zebrium, he was VP of Product and Solutions Marketing at Nimble Storage where he was responsible for redefining the company’s category and positioning. He has also held senior product management, business development and technical evangelist roles in Australia and the U.S.

There are many ways to tell when your application breaks. But figuring out what caused it to break is slow and tedious as engineers hunt through logs and dashboards, piecing together the details of what happened.

Fortunately, unsupervised machine learning can speed-up the process. It works by automatically finding the log events and metrics that describe the root cause, and it uses GPT-3 to provide a plain language summary of the problem.