Cisco Cloud Observability uses the machine learning capabilities to automatically detect any performance issues in your applications and infrastructure. It helps you to quickly identify the root cause of the issues and troubleshoot it. The following capabilities are available:

CategoryFeatureDescription
Issue DetectionDynamic BaselinesUses algorithmic capabilities to identify deviations in metrics by considering historical behavior such as time-of-day variations and other seasonal patterns.
Anomaly DetectionAutomatically determines whether the Application Performance Monitoring entities and the Infrastructure entities are performing normally. It alerts you when the entities behave abnormally.
Root Cause Analysis and Troubleshooting

Automated Root Cause AnalysisIdentifies the suspected cause of anomalies by using the graph traversal algorithm.
Log OutliersIdentifies the log outliers related to an entity and finds the issues using the log histogram.
Log Pattern DetectionDetects and ranks log patterns to identify issues quickly. It enables you to view a snapshot of your environment without getting lost in the log details.