Automated Root Cause Analysis

Automatic analysis of logs in real time to identify root cause. Use machine learning (ML) on log files in real-time to identify root cause of error or failure. Dramatically reduce time to know what is actually broken. No manual model training required – unsupervised ML.

Identify unknown problems or nnomalies before they cause incidents. Identify unusual or novel issues and associated root cause, even when you or your monitoring tool don’t know what to look for or expect. Correlate unusual behavior with recent changes and performance metrics so you can understand potential business or service impact.

Automatically analyse logs from number of connected systems and complex networks. Distill billions of log lines down to the few most salient to isolate root cause.

Decrease your response time, support costs and increase your SLA efficiency.