In an example, metrics that cause a deviation in data may be identified by collecting the data for selected metrics stored in a plurality of tables. A metric vector is constructed based on the data for the selected metrics. A probability density may be calculated for the metric vector that indicates a deviation value for the metric vector relative to other metric vectors. Moreover, an outlier metric from the metric vector that causes the deviation value for the metric vector may be identified.