The only Log Manager that gives you
Autonomous Incident and Root Cause Detection

Logs and metrics go in, incident and root cause come out!

sweetwater uses Zebrium to auto-detect incidents and root cause

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AI Powered Log Management, Monitoring & Observability

The power of Zebrium is that it can autonomously detect any kind of software incident and show you root cause.

Without any human-defined rules or manual configuration.

Catch incidents without any setup

Sick of building and maintaining alert rules as new failure modes are discovered? Let our machine learning catch your software incidents without any manual work. It works by finding hotspots of abnormally correlated log and metric anomalies and achieves reliable and accurate detection within an hour of first use.

Zebrium automatically detects incidents and their root cause

Resolve Incidents Faster

Today, the best DevOps teams have automated everything. But tracking down root cause is still manual, causing Mean-Time-To-Resolution to get worse as software complexity grows. Zebrium changes this by using machine learning to uncover the root cause. This means faster MTTR and less hunting for root cause!

Add root cause to incidents detected by any tool

Zebrium is integrated with PagerDuty and Slack and can augment any type of incident detection tool (e.g. existing monitoring, APM, logger, help desk, etc.).

So, next time dinner is interrupted by an alert from your incident response tool, just relax! Zebrium can instantly show you the relevant log lines and metric charts that describe root cause without any work. No more missed dinners hunting through logs and charts.

Save time and save money

Cutting MTTR doesn’t just mean happier users – it also saves precious SRE, DevOps and developer hours currently spent chasing down incidents and hunting for root cause. On top of that, our customers typically save 30-50% in logging/monitoring software costs by switching to us. Cost efficiency comes from our underlying relational structure that achieves higher efficiency for retention and queries compared with traditional text search based logging tools.