Machine learning for rule evaluation

A performance monitoring system, comprising:

• a memory;
• and
• one or more processors in communication with the memory, the one or more processors configured to execute a collector and an alert rule evaluator service,
• wherein the collector is configured to receive telemetry data via metric exporters, the telemetry data comprising metrics related to a network of computing devices, and wherein, for each metric, metric values associated with a corresponding metric name are collected at each of a plurality of collection times, and
• wherein the alert rule evaluator service is configured to evaluate rules using the received telemetry data, wherein, to evaluate a first rule, the alert rule evaluator service uses metric values associated with a corresponding metric name of the first rule, compares a corresponding metric value to a corresponding threshold value of the first rule at each of a plurality of rule evaluation times based on a first evaluation interval to generate a rule evaluation attribute, determines a predicted rule weight for the first rule based on the rule evaluation attribute, and determines a second evaluation interval for the first rule based on the predicted rule weight and the first evaluation interval.