This topic explains the types of anomalies in intelligent inspection to help users understand their causes and more effectively use the feature to monitor and ensure system stability.
Anomaly type | Label | Description |
Stab | Stab | The values of the metric that is inspected suddenly fluctuate during off-peak hours, or the values of the metric that is inspected change before a Shift anomaly occurs. |
Shift | Shift | The data changes relative to the previous range of values and remains stable. In most cases, Shrift anomalies occur before and after your business data changes. |
Variance | Variance | The average value of the metric that is inspected does not significantly change. The variance of the metric changes. |
Lack | Lack | Some samples of the metric that is inspected are missing. |
OverThreshold | OverThreshold | The values of the metric that is inspected exceed the threshold value that you specify. If the preceding scenario occurs, Simple Log Service generates alerts regardless of the results that are generated by the algorithms. |
