Technology Overview and Demo
Demonstration of Root Cause as a Service. Finds the best root cause indicators in logs in > 95% of incidents. (2 mins)
Don't Call it ML: Lessons from 1000+ Incidents. From GlueCon 2022 with Founder and CTO, Larry Lancaster (22 mins)
End-to-end Demo and explanation of How Zebrium machine learning works to automatically find the root cause of software problems (9 mins)
ML that helps technical support teams speed up log file analysis. Demo of how we used it recently to solve a customer problem (9 mins)
See how Zebrium and Datadog work together to automatically detect a problem and then show its root cause (2 mins)
Zebrium and AppDynamics let you uncover blindspots in your monitoring. A very cool integration! (2 mins)
A comparison of Zebrium machine learning and native Elastic Stack (ELK Stack) machine learning (3 minutes)
Webinar showing how Zebrium's machine learning works - features segment by Reserved.ai (at 16:24) showing real life results (51 mins)
Zebrium explained - when an app breaks, instead of hunting through logs, our ML automatically shows you root cause (1 min)
Demo showing Zebrium integrated into the Elastic Stack. Leverage the power of Zebrium incident and root cause detection right inside Kibana! (90 secs)
Zebrium demo - Watch us break a microservices app and then see Zebrium detect the problem and root cause (1 min)
CNCF Webinar - Using Machine Learning on Logs to Find Root Cause Faster - Overview, Demo and Customer Testimonial (20 mins)
Zebrium is machine learning that finds root cause automatically, as explained by Zebrium Founder and CTO, Larry Lancaster. (1 min)
Zebrium in 90 seconds - It not only catches software problems automatically, but also shows root cause!