System for detecting and characterizing seasons

One or more non-transitory computer-readable media storing instructions, which, when executed by one or more hardware processors, cause:

• receiving, from a user of an application or cloud service executing on at least one computing device including at least one hardware processor, a request to identify seasonal patterns within a set of time series data that includes data tracking a metric of a target resource and spanning a plurality of time windows having a seasonal period;
• responsive to receiving the request, detecting, by the application or cloud service executing on at least one computing device including at least one hardware processor, a plurality of seasonal patterns including a first seasonal pattern and a second seasonal pattern, wherein the first seasonal pattern is identified based on outlier high values that recur over the seasonal period in a noise signal within the set of time series data and the second seasonal pattern is identified based on highs that recur over the seasonal period in dense data separate from the noise signal within the set of time series data;
• and
• presenting, to the user by the application or cloud service, a prototypical behavior for the target resource in the seasonal period that identifies the plurality of seasonal patterns including the first seasonal pattern and the second seasonal pattern.

A system comprising:

• one or more hardware processors;
• one or more non-transitory computer-readable media storing instructions, which, when executed by one or more hardware processors, cause performance of operations comprising:
• receiving, from a user of an application or cloud service executing on at least one computing device including at least one hardware processor, a request to identify seasonal patterns within a set of time series data that includes data tracking a metric of a target resource and spanning a plurality of time windows having a seasonal period;
• responsive to receiving the request, detecting, by the application or cloud service executing on at least one computing device including at least one hardware processor, a plurality of seasonal patterns including a first seasonal pattern and a second seasonal pattern, wherein the first seasonal pattern is identified based on outlier high values that recur over the seasonal period in a noise signal within the set of time series data and the second seasonal pattern is identified based on highs that recur over the seasonal period in dense data separate from the noise signal within the set of time series data;
• and
• presenting, to the user by the application or cloud service, a prototypical behavior for the target resource in the seasonal period that identifies the plurality of seasonal patterns including the first seasonal pattern and the second seasonal pattern.