Adaptive scaling of workloads in a distributed computing environment

A system for computing and implementing automatic scaling operations in a distributed computing environment, the system comprising:

• at least one processor coupled to a memory storing computer readable program instructions that, when executed, cause the at least one processor to:
• determine a current allocation of a specific resource used by a specific application instance of an application;
• configure a high watermark as a low bound for a high tier of consumption of the specific resource used by the specific application instance;
• configure a low watermark as a high bound for a low tier of consumption of the specific resource used by the specific application instance;
• compute and implement an increase in allocation of the specific resource for the specific application instance, when sustained consumption of the specific resource at the high tier is identified;
• and
• compute and implement a decrease in allocation of the specific resource for the specific application instance, when the sustained consumption of the specific resource at the low tier is identified, thereby optimizing application efficiency and resource utilization in the distributed computing environment.

A computer program product for computing and implementing automatic scaling operations in a distributed computing environment, by at least one processor, the computer program product embodied on a non-transitory computer-readable storage medium having computer-readable program code portions stored therein, the computer-readable program code portions comprising:

• an executable portion that determines a current allocation of a specific resource used by a specific application instance of an application;
• an executable portion that configures a high watermark as a low bound for a high tier of consumption of the specific resource used by the specific application instance;
• an executable portion that configures a low watermark as a high bound for a low tier of consumption of the specific resource used by the specific application instance;
• an executable portion that computes and implements an increase in allocation of the specific resource for the specific application instance, when sustained consumption of the specific resource at the high tier is identified;
• and
• an executable portion that computes and implements a decrease in allocation of the specific resource for the specific application instance, when the sustained consumption of the specific resource at the low tier is identified, thereby optimizing application efficiency and resource utilization in the distributed computing environment.