Symptoms are made up of a single condition of an object. Conditions can be metric-based conditions, such as CPU usage greater than 90%, or property-based conditions, such as DRS equals Fully Automatic.
Within an alert, multiple symptoms can be grouped into symptom sets. For example, you may group symptoms such as Cluster CPU contention at critical level and cluster compute resource anomaly is critically high when evaluating the health and availability of a cluster.
The symptoms in each symptom set are evaluated for being true (valid). You can select a matching criterion of Any or All for each symptom set.
If you select Any as a matching criterion for a symptom set, at least one symptom in the set must evaluate to true in ...
