Get historical values for alerting

As a possible alternative, have you considered setting dynamic thresholds on the datapoint? They work by having the platform learn the normal range for a given datapoint (per instance) and alerting if the measured values depart a certain amount from that normal range. They do rely on historic data to learn what’s normal, but they do not let you define in absolute terms how far from normal triggers an alert. They are good for things like database file size, where there’s no obvious number or fraction to look for. https://www.logicmonitor.com/support/alerts/aiops-features-for-alerting/enabling-dynamic-thresholds-for-datapoints