Baseline Bands represent the normal operating range of a metric. Metricly determines the normal operating range of a metric based on weekly patterns in the behavior of that metric.
The image below provides an example of Baseline bands in green surrounding the actual, current value for a CPU utilization metric in black. The green band demonstrates how Metricly learns the expected behavior of the metric based on patterns in the behavior of that metric.
To leverage the behavior learning capabilities of Baseline bands, use Upper or Lower Baseline Deviation condition tests in a policy. For more information about Baseline Deviation tests, see Conditions.
Using a Static Threshold test, the policy generates a Critical event every Monday at 2:00 PM when the value of the metric exceeds 95%. After changing the Static Threshold test to an Upper Baseline Deviation test, events are no longer generated when the CPU utilization metric exceeds 95% on Mondays at 2:00 PM. This is because Metricly uses Baseline bands to learn this pattern. So, the spike in CPU utilization that occurs on Monday afternoons is not perceived as abnormal behavior, resulting in fewer false alarms.