Diagonal scaling of resource allocations and application instances in a distributed computing environment

A system for increasing resource allocations and application instances in diagonal scaling 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:
• track resource consumption of each one of a plurality of application instances;
• compare the tracked resource consumption to resource allocations of each one of the plurality of application instances;
• and
• for each one of a plurality of resource increase operations, compute and apply a resource increase operation to an associated application instance of the plurality of application instances, the resource increase operation applied when a resource increase can be accommodated on a host running the associated application instance and an increase limit associated with the associated application instance for the resource has not been reached, thereby optimizing application efficiency and resource utilization in the distributed computing environment.

A computer program product for increasing resource allocations and application instances in diagonal scaling 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 tracks resource consumption of each one of a plurality of application instances;
• an executable portion that compares the tracked resource consumption to resource allocations of each one of the plurality of application instances;
• and
• an executable portion that, for each one of a plurality of resource increase operations, computes and applies a resource increase operation to an associated application instance of the plurality of application instances, the resource increase operation applied when a resource increase can be accommodated on a host running the associated application instance and an increase limit associated with the associated application instance for the resource has not been reached, thereby optimizing application efficiency and resource utilization in the distributed computing environment.