Skylar Automated RCA

Skylar Automated RCA (Root Cause Analysis) uses unsupervised machine learning on logs to automatically find the root cause of software problems. It does not require manual rules or training, and it typically achieves accuracy within 24 hours.

As Skylar Automated RCA ingests logs, the Skylar artificial-intelligence (AI) engine analyzes the logs, looking for abnormal log line clusters that resemble problems, such as abnormally correlated rare and error events from across all log streams.

Skylar Automated RCA was previously known as "Zebrium" and "Zebrium Root Cause as a Service (RCaaS)".

The following image shows a detailed Root Cause report generated by the Skylar AI:

For more information, see Key Concepts and Getting Started with Skylar Automated RCA.

To view the latest release notes, see the Skylar Automated RCA Release Notes.