Systems and methods for determining optimal cost-to-serve for cloud applications in the public cloud

A computer program product tangibly embodied in a computer-readable storage device and comprising instructions that when executed by a processor perform a cost-to-serve (CTS) method by load testing and measuring performance metrics of server sets, the method comprising:

• orchestrating, by a first module, an elastic server set of a plurality of resources comprising an app server, a database server, a storage server, a load balancer, and a network;
• orchestrating, by a second module coupled to the first module, a load test by applying one or more use-case scenarios for each orchestrated server set with a select number of simulated users, and further comprising a sub-module applying one or more docker containers executing a single instance of a virtual docker application for simulating the one or more use-case scenarios;
• generating, by a third module coupled to the second module, a cost metrics model of the orchestrated elastic server set for predictive CTS modeling of the orchestrated elastic server set;
• collecting, by a fourth module coupled to the third module, a plurality of performance metrics across server resources and associated client devices;
• post-processing, by a fifth module coupled to the fourth module the collected performance metrics across a load testing duration and providing analytics of an elastic server, set performance;
• and
• analyzing, by a sixth module coupled to the fifth module, the performance metrics adapting available resources by applying heuristics of the cost metrics model using the collected performance metrics for predicting models of cost optimizations of the elastic server set and repeating one or more prior method steps until reaching an orchestrated set of resources for the elastic server set.

An elastic node configuration system comprising:

• at least one processor;
• and
• at least one computer-readable storage device comprising instructions that when executed causes execution of a method of cloud load testing and performance measuring of an orchestrated server configuration, the system performing the steps comprising:
• configuring a first module to orchestrate an elastic server set of a plurality of resources comprising an app server, a database server, a storage server, a load balancer, and a network;
• configuring a second module to orchestrate a load test by applying one or more use-case scenarios for each orchestrated server set with a select number of simulated users, and further comprising a sub-module applying one or more docker containers executing a single instance of a virtual docker application for simulating the one or more use-case scenarios;
• configuring a third module to implement a cost metrics model of the orchestrated elastic server set for predictive CTS modeling of the orchestrated elastic server set;
• configuring a fourth module to collect a plurality of performance metrics across server resources and associated client devices;
• configuring a fifth module to post-process the collected performance metrics across a load testing duration and to provide analytics of the elastic server set performance;
• and
• configuring a sixth module to analyze the performance metrics to adapt available resources by applying heuristics of the cost metrics model using the collected performance metrics for predicting models of cost optimizations of the elastic server set and repeating one or more prior method steps until reaching an orchestrated set of resources for the elastic server set.