In one embodiment, a method of determining whether a metric is an anomaly includes receiving a data point and determining a metric in accordance with the data point and a center value. The method also includes determining whether the metric is below a lower threshold, between the lower threshold and an upper threshold, or above the upper threshold and determining that the data point is not the anomaly when the metric is below the lower threshold. Additionally, the method includes determining that the data point is the anomaly when the metric is above the upper threshold and determining that the data point might be the anomaly when the metric is between the lower threshold and the upper threshold.