Don't call it ML: A New Approach for Troubleshooting with the Elastic Stack

Elastic Office, 4th & 5th Floor - 45 W. 27th St. New York, 10001 - View Map New York City
Wed, Jun 29, 4:00 PM (EDT)

8 RSVP'ed

About this event

Imagine this: you wake up to find your Slack blowing up. Alerts are going off and users are complaining. You go straight to your Kibana dashboard, and you can see right away there's a problem. What's not clear is the reason why it happened? Since you can't tell the root cause, you realize you now have to go searching through the logs. You sink into despair... it's going to be a long night.

In this technical discussion, we'll describe an unsupervised machine learning approach that mimics the process of an experienced troubleshooter. Its goal is to identify the same root cause indicators in the logs that a human expert would have eventually found. The resultant payload is summarized using NLP and sent with relevant metrics to Elasticsearch for visualization alongside other observability data on any Kibana dashboard.

Gavin Cohen, VP of Product at Zebrium, will describe and demo the machine learning technology together with feedback from real-world users.

Speaker

When

Wednesday, Jun 29
4:00 PM - 5:00 PM (EDT)

Where

Elastic Office, 4th & 5th Floor
45 W. 27th St. New York10001

Host

  • Faith Westdorp

    Faith Westdorp

Organizers