Interactive capacity planning

A computer program product comprising a tangible non-transitory computer readable recordable storage medium including computer useable program code for performing capacity planning for applications running on a computational infrastructure, the computer program product including:

• computer useable program code for instrumenting an application under development to receive one or more performance metrics under a physical deployment plan;
• computer useable program code for receiving the one or more performance metrics from the computational infrastructure hosting one or more applications that are currently running;
• computer useable program code for using a predictive inference engine to determine how the application under development can be deployed, wherein said predictive inference engine predicts performance of the application under development on top of the one or more applications currently running on the computational infrastructure under multiple hypothetical computational infrastructure deployment plans;
• and
• computer useable program code for using the determination to perform capacity planning for the applications on the computational infrastructure by identifying a computational infrastructure deployment plan from the multiple hypothetical computational infrastructure deployment plans that incurs no quality of service (QoS) violations for the application under development or the one or more applications currently running on the computational infrastructure.

A system for performing capacity planning for applications running on a computational infrastructure, comprising:

• a memory;
• and
• at least one processor coupled to the memory and operative to:
• instrument an application under development to receive one or more performance metrics under a physical deployment plan;
• receive the one or more performance metrics from the computational infrastructure hosting one or more applications that are currently running;
• use a predictive inference engine to determine how the application under development can be deployed, wherein said predictive inference engine predicts performance of the application under development on top of the one or more applications currently running on the computational infrastructure under multiple hypothetical computational infrastructure deployment plans;
• and
• use the determination to perform capacity planning for the applications on the computational infrastructure by identifying a computational infrastructure deployment plan from the multiple hypothetical computational infrastructure deployment plans that incurs no quality of service (QoS) violations for the application under development or the one or more applications currently running on the computational infrastructure.

An apparatus for performing capacity planning for applications running on a computational infrastructure, the apparatus comprising:

• means for instrumenting an application under development to receive one or more performance metrics under a physical deployment plan, wherein said means comprise a module executing on a hardware processor;
• means for receiving the one or more performance metrics from the computational infrastructure hosting one or more applications that are currently running, wherein said means comprise a module executing on a hardware processor;
• means for using a predictive inference engine to determine how the application under development can be deployed, wherein said predictive inference engine predicts performance of the application under development on top of the one or more applications currently running on the computational infrastructure under multiple hypothetical computational infrastructure deployment plans, and wherein said means comprise a module executing on a hardware processor;
• and
• means for using the determination to perform capacity planning for the applications on the computational infrastructure by identifying a computational infrastructure deployment plan from the multiple hypothetical computational infrastructure deployment plans that incurs no quality of service (QoS) violations for the application under development or the one or more applications currently running on the computational infrastructure, wherein said means comprise a module executing on a hardware processor.