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Machine Learning for Logs
Automatically finds root cause

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Zebrium Finds Root Cause in Logs

Stop manually hunting through logs to find the root cause! Zebrium's ML turns millions of log lines into simple root cause reports that tell you what happened with a plain language summary, a word cloud and just a few relevant log lines, No manual training required!

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Zebrium reduces MTTR vs other approaches

proactive detection of incidents

Catch Problems Before They Catch You

While you probably have monitoring and alert rules in place for known problems, what are you doing about those new and unknown problems (the ones that hurt the most)? Zebrium's ML continually scans for clusters of correlated anomalies that resemble software problems. These can be sent via Email, Slack or your favorite incident management tool. 

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Works with existing tools or standalone

Monitoring, APM & incident management

Zebrium can automatically send root cause reports to AppDynamics, PagerDuty, Opsgenie, Slack, MS Teams and most other tools. The alerts can be proactive (when Zebrium detects a problem) or in response to incidents detected by other tools.

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Logging & observability

Continue using your logger for dashboarding and search, but when there's a problem, let Zebrium automatically show you the root cause (no hunting needed)! Simply fork a copy of your logs to Zebrium or install one of Zebrium's log collectors.

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Standalone

Of course, you don't actually need any other tools to use Zebrium. When a problem occurs you'll automatically see a root cause report with a plain language summary, a word cloud and a few log lines that explain what happened.

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Try it with your own app or a sample one

It only takes a few minutes to sign-up and install one of our log collectors - the rest is automatic. For best results, you'll need to induce an app failure (we need real problems to find anything useful). If you can't do that, try it with a sample microservices demo app.

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