Abstract: In some examples, a method includes: determining workload constraints for placement of information technology (IT) equipment within a data center; determining physical constraints for placement of the IT equipment; inferring hardware placement capabilities of IT equipment racks within the data center; and generating a ranked list of locations for IT equipment placement within the data center based on the determined workload constraints, determined physical constraints, and inferred hardware placement capabilities.

Abstract: In an example, a first graph representing a first set of combinations of computing elements and logical elements used in a computing environment is compared with a second set of combinations of computing elements and logical elements. The first set of combinations includes a plurality of element combinations. The comparison may be performed to identify a potentially faulty element combination among the first set of combinations.

Abstract: In some examples, a method includes: determining workload constraints for placement of information technology (IT) equipment within a data center; determining physical constraints for placement of the IT equipment; inferring hardware placement capabilities of IT equipment racks within the data center; and generating a ranked list of locations for IT equipment placement within the data center based on the determined workload constraints, determined physical constraints, and inferred hardware placement capabilities.

Abstract: In an example, suspect scores for impacting elements that can cause an error state of a first element are computed. The computation is performed based on states of each element for which the impacting element can cause the error state.

Abstract: In an example, a first graph representing a first set of combinations of computing elements and logical elements used in a computing environment is compared with a second set of combinations of computing elements and logical elements. The first set of combinations includes a plurality of element combinations. The comparison may be performed to identify a potentially faulty element combination among the first set of combinations.

Abstract: In an example, suspect scores for impacting elements that can cause an error state of a first element are computed. The computation is performed based on states of each element for which the impacting element can cause the error state.

Abstract: Disclosed is a method and system for automatic end-to-end storage provisioning by an application aware appliance of a software application served by a computing cloud based on a user request for a cloud served software application. Embodiments may automatically select and configure both the server computing resources and the storage volume/array to implement a cloud based software application. A user request may identify characteristics of requested server computing resources, but need only specify the desired software application, and the embodiments will automatically select/create a storage volume/array and copy the requested software application onto the selected/created storage volume/array.

Abstract: Disclosed is a method and system for automatic end-to-end storage provisioning by an application aware appliance of a software application served by a computing cloud based on a user request for a cloud served software application. Embodiments may automatically select and configure both the server computing resources and the storage volume/array to implement a cloud based software application. A user request may identify characteristics of requested server computing resources, but need only specify the desired software application, and the embodiments will automatically select/create a storage volume/array and copy the requested software application onto the selected/created storage volume/array.