Method and system for providing application hosting benchmarks

A computing device configured to implement an execution of a method for providing predictive cost and performance analytics to facilitate benchmarking of an application host, the computing device comprising:

• a processor;
• a memory;
• and
• a communication interface coupled to each of the processor and the memory,
• wherein the processor is configured to:
• receive, via a graphical user interface, at least one input, the at least one input including a request to benchmark at least one networked environment to host an application, wherein the at least one networked environment includes a private cloud platform, a public cloud platform, and an on-premises infrastructure;
• retrieve, from a repository, at least one data storage object that corresponds to the application, the at least one data storage object including at least one from among a deployment artifact and a performance script that is based on the at least one input;
• integrate a simulation process with respective network infrastructure for the private cloud platform, the public cloud platform, and the on-premises infrastructure, respectively;
• simulate, via a load performance server and the corresponding respective integrated simulation process, respective deployment of the application in the private cloud platform, the public cloud platform, and the on-premises infrastructure, respectively, wherein the load performance server simulates a workload of the application based on the at least one data storage object and the received at least one input;
• collect, via a listening server, a respective result of each respective corresponding simulation, each respective result including at least one metric that corresponds to hosting of the application, wherein the listening server monitors respective messages from the private cloud platform, the public cloud platform, and the on-premises infrastructure, respectively, to compile the respective at least one metric for the private cloud platform, the public cloud platform, and the on-premises infrastructure, respectively;
• and
• determine, by using at least one model, respective predicted implementation information that corresponds to at least one from among a predicted cost and a predicted performance associated with hosting the application in the private cloud platform, the public cloud platform, and the on-premises infrastructure, respectively, at a future timepoint, wherein the determining of the respective predicted implementation information is based on the corresponding respective results of the simulation.

A non-transitory computer readable storage medium storing instructions for providing predictive cost and performance analytics to facilitate benchmarking of an application host, the storage medium comprising executable code which, when executed by a processor, causes the processor to:

• receive, via a graphical user interface, at least one input, the at least one input including a request to benchmark at least one networked environment to host an application, wherein the at least one networked environment includes a private cloud platform, a public cloud platform, and an on-premises infrastructure;
• retrieve, from a repository, at least one data storage object that corresponds to the application, the at least one data storage object including at least one from among a deployment artifact and a performance script that is based on the at least one input;
• integrate a simulation process with respective network infrastructure for the private cloud platform, the public cloud platform, and the on-premises infrastructure, respectively;
• simulate, via a load performance server and the corresponding respective integrated simulation process, respective deployment of the application in the private cloud platform, the public cloud platform, and the on-premises infrastructure, respectively, wherein the load performance server simulates a workload of the application based on the at least one data storage object and the received at least one input;
• collect, via a listening server, a respective result of each respective corresponding simulation, each respective result including at least one metric that corresponds to hosting of the application, wherein the listening server monitors respective messages from the private cloud platform, the public cloud platform, and the on-premises infrastructure to compile the respective at least one metric for the private cloud platform, the public cloud platform, and the on-premises infrastructure, respectively;
• and
• determine, by using at least one model, respective predicted implementation information that corresponds to at least one from among a predicted cost and a predicted performance associated with hosting the application in the private cloud platform, the public cloud platform, and the on-premises infrastructure, respectively, at a future timepoint, wherein the determining of the respective predicted implementation information is based on the corresponding respective results of the simulation.