Autonomous Log Monitoring

Catch problems earlier. Solve them faster. Driven by machine learning.

Zebrium - now in private beta

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Cloud native?

Log monitoring for Kubernetes

 

We find critical problems for you

Machine learning automatically catches critical problems. No figuring out what to monitor. No complex rule definitions. No expertise needed.

We reliably catch critical problems without human intervention and without alarm fatigue. To do this we use machine learning to auto-parse events, learn their patterns and find anomalies (events that break pattern).  Our machine learning also looks for correlations across services so that it can identify the leading event(s) that caused the problem.

testing stats2

 

Zebrium stats
Early warning

Catch the leading-edge

Detecting symptoms is not enough. We find the "leading edge" - the event that triggered the problem. Giving you more time to deal with it.

A common use case for monitoring is to alert when metrics reach undesirable thresholds. While this can be effective for identifying problem symptoms, it often means a problem won’t be noticed until it has already wreaked havoc. To avoid this, our machine learning detects the leading edge of problems rather than predefined symptom thresholds. During testing across 30+ application stacks, 56% of the time it successfully identified the events that occurred when the problem first happened.

Sick of root-cause hunting?

We take you straight to the specific events and context needed to track down root cause. Our elegant user-interface makes resolution a breeze. 

Our machine learning identifies and takes you to the specific events and context that relate to a problem's root cause. Our user interface lets quickly find what you need - with structured searching, easy filtering (by event, log source, event meta-data, etc.) and fast performance even for the largest data sets. 

find the cause, not the symptom

Ten things your log manager and monitoring can't do

Warning - if you try these with <*>, you will be disappointed!

*Insert your favorite log manager or monitoring tool here.

  • Find problems for you (without human guidance or definitions)
  • Automatically parse custom logs (even the gnarly ones) 
  • Automatically extract embedded variables (metrics, strings, IP addresses, etc.)
  • Self-maintain the schema even when events change across software versions
  • Visualize event patterns (X-ray) of problems and what lead to them
  • Make search more useful by allowing you to easily see results by event type  
  • With one click filter in our out any event type 
  • Chart any metric or string directly from an event (without building manual parsing rules) 
  • Suggest signatures to detect known conditions even those characterized by complex multi-event sequences 
  • Extract errors and multiline stack traces (e.g. for python, java, go, etc.)
  • Do all of this without requiring a PhD (oops, that's number 11) 

Too good to be true? Try it now.

Private beta is now open. Get started for free in less than 5 minutes.

Sign-up now

Not ready to try it yet? 

Pleas let us know if you have any questions or would like a live demo. We look forward to hearing from you.
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