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Autonomous Log Management and Monitoring for Kubernetes

Elegant Integration

Just sign-up for a free account and cut and paste a customized helm or kubectl command. You'll be amazed at what you see within minutes!

Catches Incidents & Root Cause

Kubernetes distributed apps can have complex failure modes. Our machine learning can catch these failures without any manually defined rules! It detects problems that cascade across microservices and combines them into a single incident report with details of root cause.

See how Zebrium helps Sweetwater, the world's leading music technology and instrument retailer, reduce their Mean-Time-To-Resolution (MTTR) from 3 hours down to just minutes.

Logs and Metrics Together

Zebrium machine learning works across existing logs and Prometheus metrics. Our open source forked instance of Prometheus achieves near real-time metrics updates, captures labels for correlating with logs, handles out of order samples and achieves > 500x bandwidth reduction.

In-app Grafana Support

The Grafana tab in the Zebrium UI lets you leverage the power of one of the word's most popular visualization and analytics tools.

Easily create dashboards from rich metrics and event types made available in the Zebrium platform. And you can even build real-time visualizations using metrics that are embedded in logged events.

Powerful Log Aggregation

See everything at once or use powerful filters (e.g. cluster, deployment, pod, container, logtype, etc.) to see just what you want. Plus regex search & more.

Automatic Log Parsing

ML categorizes events by type and auto-extracts variables (strings, floats, ints, IP addr., etc.). Works with any app. No more manual parsing rules!

Beautiful Metric Drill-down

Easily select and chart any metric with a click and view correlations across different time-series. Metric charts are also included in incident reports where applicable.