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Alerts for anomalies detected by machine learning when certain conditions are reached. For example, key performance indicators that pass a certain quality threshold. If the conditions of the rule are met, an alert is created, and the associated action is triggered. These alerts can also be triggered in specific situations on metrics that may not be known in advance or change as the data changes. An anomaly alert will trace the historical value of the metric and would be triggered when the metric has an abnormal value compared to the past.