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


Sep 15, 2022, 10:00 – 11:50 PM

19 RSVPs

About this event

Doors open at 5:00pm with presentations beginning at 5:15pm. Please be sure to RSVP if you plan on attending, so we have an accurate headcount to provide the venue.

We also have a virtual component to this meetup if you wish to attend remotely, please use the following Zoom details:


  • 5:00pm: Doors open 
  • 5:15pm: What is new with Elastic - brought to you by the Elastic Dallas Account Team
  • 5:30pm: Zebrium presentation followed by a Q&A
  • 6:15 -6:50pm: Networking & refreshments
  • 6:50pm: Event ends

Talk Abstract: Don’t call it machine learning: A New Approach for Troubleshooting with the Elastic Stack - Larry Lancaster - Founder and CTO @ Zebrium

Imagine this: you wake up to find your Slack blowing up. Alerts are going off, and users are complaining. You go straight to your monitoring dashboard, and you can see right away there's a problem. What's not clear is the reason: what happened? When you can't tell the root cause from your other canned dashboards and alert rules, you have to go searching through 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. It identifies small clusters of log events that are the best indicators of root cause. The resultant payload is summarized using NLP and sent with relevant metrics to Elasticsearch for visualization alongside other observability data on any Kibana dashboard. Larry Lancaster, Founder and CTO @ Zebrium, will describe and demo the machine learning technology together with feedback from real-world users.

Additional Zoom details:

Phone one-tap

Phone one-tap: US: +13462487799,,97049373166# or +16699006833,,97049373166#

Join by Telephone

For higher quality, dial a number based on your current location.


US : +1 346 248 7799 or +1 669 900 6833 or +1 719 359 4580 or +1 253 215 8782 or +1 669 444 9171 or +1 386 347 5053 or +1 564 217 2000 or +1 646 558 8656 or +1 646 931 3860 or +1 301 715 8592 or +1 309 205 3325 or +1 312 626 6799 or 877 853 5247 (Toll Free) or 888 788 0099 (Toll Free)

Webinar ID: 970 4937 3166

International numbers

Join from an H.323/SIP room system

H.323: (US West) (US East) (India Mumbai) (India Hyderabad) (Amsterdam Netherlands) (Germany) (Australia Sydney) (Australia Melbourne) (Singapore) (Brazil) (Mexico) (Canada Toronto) (Canada Vancouver) (Japan Tokyo) (Japan Osaka)

Webinar ID: 970 4937 3166




Thursday, September 15, 2022
10:00 PM – 11:50 PM UTC


  • Larry Lancaster


    Founder and CTO


  • Ygnacio Dominguez III


    Account Executive


  • Andrew McQuerry


  • Pablo Sarabia


Contact Us