System and method for dynamic problem determination using aggregate anomaly analysis

A system and method are provided for determining problem conditions in an IT infrastructure using aggregate anomaly analysis. The anomalies in the metrics occurring in the monitored IT infrastructure are aggregated from all resources reporting metrics as a function of time. The aggregated metric anomalies are then normalized to account for the state of the monitored IT infrastructure to provide a normalized aggregate anomaly count. A threshold noise level is then determined utilizing a variably selectable desired level of confidence such that a problem event is only determined to likely be occurring in the IT infrastructure when the normalized aggregate anomaly count exceeds the threshold noise level. The normalized aggregate anomaly count is monitored against the threshold noise level as a function of time, such that a problem event in the IT infrastructure is identified when the normalized aggregate anomaly count exceeds the threshold noise level at a given time.