Salesforce Com, Inc.

Laksh Venka

Brian Toal

Manpreet Singh

Ajay Krishna Borra

Metarya Ruparel

Gokulakrishnan Gopalakrishnan

A metric data stream for a plurality of metrics may be retrieved from a database system. Each metric may measure a respective computing characteristic. The metric data stream may include a plurality of values for each of a sequence of time intervals. Each value may correspond with a respective one of the metrics. A plurality of metric correlation matrices may be determined for the metrics, each of which is associated with a respective time period in the metric data stream. A subset of comparison metric correlation matrices may be selected from the plurality of metric correlation metric matrices. A designated anomaly score may be determined for a designated time period by comparing a designated metric correlation matrix associated with the designated time period with the selected subset of comparison metric correlation metric matrices.

Multivariate auto-differential correlation engine in a computing environment

Embodiments of the present disclosure relate to software application optimization. Other embodiments may be described and/or claimed.

Software application optimization

Embodiments of the present disclosure relate to software application performance regression analysis. Other embodiments may be described and/or claimed.

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San Francisco, CA, United States of America

Laksh Venka