Dynamic thresholds represent bounds of an expected data range for a particular alert. Unlike static alert thresholds that are assigned manually, dynamic limits are calculated by anomaly detection algorithms and continuously trained by an alert's historical values. When dynamic thresholds are enabled, alerts are dynamically generated when these thresholds are exceeded. Simply put, alerts are generated when deviations or anomalies are detected. Consequently, teams will be automatically alerted to values that fall outside the algorithmically determined expected range. Dynamic thresholds in baselining abnormalities detect rates of change and trends of alerts. Dynamic thresholds determined by intelligent monitoring software are continually evolving. By default, the smart solution monitors everything in an environment and fetches parameters that are relevant for an organization.
With intelligent baselining and dynamic thresholds, companies significantly reduce the number of irrelevant alerts received from multiple previous monitoring methods. It allows teams to detect errors and deviations that help speed up the resolution of problems.