Unsupervised machine learning automatically catches critical incidents. No more building complex alert rules or figuring out what to monitor.
Here are just a few examples. Try it with your app and see what we can catch!
SaaS Service, Fortune 100 company
Mission critical service experienced an authentication issue that blocked new users from logging in. It took six hours to detect and root cause the incident using existing APM and monitoring tools.
Zebrium ML auto-identified and found the root cause within seconds!
Organization behind two well-known CNCF OSS projects
Engineering team stress tested Zebrium Autonomous Log Monitoring using a popular chaos engineering tool to systematically create over a dozen application and Kubernetes failure scenarios.
Zebrium automatically detected and found root cause for every single incident.
Workforce automation SaaS platform
Soon after installation, Zebrium auto-detected a certificate issue caused by a subtle software bug. This prevented an outage of over 30 production services, and saved hours of lost productivity in troubleshooting.
Lower your Mean Time To Resolve. We tell you the most likely root cause and take you straight to the specific events and context needed resolve the incident.
Warning - if you try these with *, you will be disappointed!
*Insert your favorite log manager or monitoring tool here.