Abstract: An approach is provided for determining availabilities of servers in multiple tiers of a workload. A Monte Carlo approach is performed on a non-linear program resulting from availability and resource constraints being added to an optimization problem which includes a workload availability requirement, resource requirements for redundancy groups (RGs) in the workload, sets of server sizes, and sets of availability categories. Feasible solutions to the optimization problem are generated and each includes a cloud site hosting the workload, a number of servers in an RG, server sizes of the servers in the RG, categories of availability of the servers in the RG, and a number of servers in the RG that are required to be active for the RG to be available. A cost of achieving the requirement of the availability of the workload is minimized by performing a Pareto analysis of the feasible solutions.

Abstract: An approach is provided for determining availabilities of servers in multiple tiers of a workload. Based on (1) a required availability of the workload, (2) resource requirements for redundancy groups (RGs) in the workload, (3) sets of server sizes, and (4) sets of availability categories, numbers of server(s) included in respective RGs are determined, allocations to the server(s) of one or more server sizes from a selected set of server sizes are determined, and allocations to the server(s) of one or more categories of availability from a selected set of categories is determined, so that a cost of achieving the required availability of the workload is minimized.

Abstract: Resource forecasting is provided. A change factor of a deployment of an enterprise application software is identified. The change factor indicates a planned modification to the deployment. One or more parameters associated with the change factor are determined. An impact forecast of the change factor is generated based, at least in part, on resource consumption of the deployment, a system benchmark of the deployment, and resource performance data of the deployment. At least one capacity scaling recommendation is provided, wherein the at least one capacity scaling recommendation identifies a modification to an allocation of a computing resources based, at least in part, on the impact forecast.

Abstract: An approach is provided for determining availabilities of servers in multiple tiers of a workload. Based on (1) a required availability of the workload, (2) resource requirements for redundancy groups (RGs) in the workload, (3) sets of server sizes, and (4) sets of availability categories, numbers of server(s) included in respective RGs are determined, allocations to the server(s) of one or more server sizes from a selected set of server sizes are determined, and allocations to the server(s) of one or more categories of availability from a selected set of categories is determined, so that a cost of achieving the required availability of the workload is minimized.