Configuring Dynamic Thresholds
Learn to use Dynamic Thresholds to measure and alert on infrastructure performance anomalies
Dynamic thresholds represent the bounds of an expected data range for a particular datapoint. Unlike static datapoint thresholds; which are assigned manually, dynamic thresholds are calculated by anomaly detection algorithms and continuously trained by a datapoint’s recent historical values.
When dynamic thresholds are enabled for a datapoint, alerts are dynamically generated when these thresholds are exceeded. In other words, alerts are generated when anomalous values are detected.
Course Level
Intermediate
Prerequisites
None