The statistical model is used to calculate standard deviations, upper and lower bounds, and statistical outliers which are then used to detect anomalies. An anomaly is when metric values are out of the projected values according to the statistical model. The system monitors the frequency and persistence of statistical outliers across time to compute a score between 0-10 that indicates how abnormal a deviation is.

Operational Intelligence constantly generates anomaly alerts whenever the anomaly score is above zero. If there is a score that is above four and which has changed from the previous score, then it is sent to the instance. On the instance, the entire sequence of anomaly scores over time can then be displayed in the Insights Explorer.

You can view a list of anomaly alerts as described below. For summaries and reports, you can view the Anomaly Map and the Anomaly Alert Dashboard.