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Real-time analysis of multidimensional time series data to identify an operational anomaly

Abstract:

A device may receive data for a plurality of metrics from a set of server resources associated with hosting an application. The plurality of metrics may be related to a performance of the set of server resources. The data may be time series data. The device may normalize the data for the plurality of metrics across a set of points in time to form normalized data. The device may determine a score for the performance of the set of server resources associated with hosting the application at a particular point in time based on the normalized data. The score may be used to determine whether an anomaly is present in the performance of the set of server resources at the particular point in time. The device may perform an action to facilitate improvement of the performance of the set of server resources based on the score satisfying a threshold.