Automated pattern generation for elasticity in cloud-based applications

A non-transitory computer-readable storage medium coupled to one or more processors and having instructions stored thereon which, when executed by the one or more processors, cause the one or more processors to perform operations for selective scaling of instances of a system executed within a landscape, the operations comprising:

• receiving a set of timeseries, each timeseries in the set of timeseries representing a parameter of execution of the system;
• resampling data of at least one timeseries to provide data of all timeseries in the set of timeseries in a consistent format;
• generating a pattern for each timeseries to provide a set of patterns based on data of the set of timeseries;
• combining patterns of the set of patterns to define a pattern, the pattern representing a schedule of instances over a period of time;
• and
• executing, by an instance manager, scaling of the system based on the pattern to selectively scale one or more of instances of the system and controllable resources based on scaling factors of the pattern.

A system, comprising:

• a computing device;
• and
• a computer-readable storage device coupled to the computing device and having instructions stored thereon which, when executed by the computing device, cause the computing device to perform operations for selective scaling of instances of a system executed within a landscape, the operations comprising:
• receiving a set of timeseries, each timeseries in the set of timeseries representing a parameter of execution of the system;
• resampling data of at least one timeseries to provide data of all timeseries in the set of timeseries in a consistent format;
• generating a pattern for each timeseries to provide a set of patterns based on data of the set of timeseries;
• combining patterns of the set of patterns to define a pattern, the pattern representing a schedule of instances over a period of time;
• and
• executing, by an instance manager, scaling of the system based on the pattern to selectively scale one or more of instances of the system and controllable resources based on scaling factors of the pattern.