OnCommand Insight contains machine-learning anomaly detection analytics which provide visibility into an application's infrastructure and identifies performance anomalies before they become service disruptions.
Anomaly analysis helps you identify the normal operating workload range for an application and informs when changes in performance are outside of expected levels. The application anomaly detection engine ingests performance metrics collected by Insight and identifies anomalies in the application infrastructure.
Objects | Counter |
---|---|
VM | Latency, IOPS |
Hypervisor | CPU utilization, IOPS |
Edge port | BB credit zero |
Storage Node | Latency, utilization, IOPS |
Volume | Latency, IOPS |
Internal volume | Latency, IOPS |
Storage pool | IOPS, utilization |
Data collected by the anomaly detection engine is archived when Performance Data Archiving is enabled on the Insight server. See the System Health page to determine if archiving is enabled.
The anomaly detection engine is runs on a separate server than the Insight server. It can be configured on a physical machine or a VM. See the OnCommand Insight Installation Guide for Windows or Linux for more information.