Abstract: Rack-based solution design and verification approaches are disclosed. A list of elements including at least computing resources, storage resources and connection resources for to a proposed data processing architecture is received. A physical layout of the computing resources and the storage resources is evaluated by a first set of microservices to parse configuration data for the computing resources and the storage resources and to evaluate a proposed configuration for the computing resources and the storage resources. Point-to-point connections between the computing resources and the storage resources in the proposed configuration are verified by a second set of microservices. The list of elements can be updated based on the evaluation of the physical layout and the point-to-point connections. A solution architecture is generated based on the updated list of elements, the physical layout, the verified point-to-point connections and the supply chain status information.

Abstract: Techniques of workload deployment in a computing network are described. For example a computing system may receive a workload deployment request for deployment of a workload on resources of the computing network. The computing system may determine unavailability of interoperable resources for deployment of the workload, based on interoperability information associated with each of the resources, and identify at least one set of resources for deployment of the workload, where deploying the workload on each set of resources from amongst the at least one set of resources comprises changing configuration of at least one resource included within corresponding set of resources. The computing system may further rate each of the set of resources based on deployment parameters, and select a first set of resources from amongst the at least one set of resources for deployment of the workload based on the rank of each of the set of resources.

Abstract: Methods, devices, and techniques for determining interoperable resources are discussed herein. For example, in one aspect, a resource in a cloud environment may be discovered. Responsive to discovering the resource, an interoperability support matrix associated with the resource can be obtained. The interoperability support matrix may specify another resource that interoperates with the resource. An interoperability record is then stored in an interoperability support matrix repository. The interoperability record can specify that the another resource interoperates with the resource.

Abstract: In one implementation, a system for policy based workload scaler includes a parameters engine to define external factors for a number of resources providing a number of cloud service workloads, a threshold engine to define a threshold value for the cloud service workloads from the number of resources, a priority engine to assign a priority to each of the number of cloud service workloads, and a service engine to reclaim resources from a first portion of cloud service workloads with a first priority and allocate the reclaimed resources to a second portion of cloud service workloads when the threshold value is exceeded and the external factors are exceeded.

Abstract: Techniques of workload deployment in a computing network are described. For example a computing system may receive a workload deployment request for deployment of a workload on resources of the computing network. The computing system may determine unavailability of interoperable resources for deployment of the workload, based on interoperability information associated with each of the resources, and identify at least one set of resources for deployment of the workload, where deploying the workload on each set of resources from amongst the at least one set of resources comprises changing configuration of at least one resource included within corresponding set of resources. The computing system may further rate each of the set of resources based on deployment parameters, and select a first set of resources from amongst the at least one set of resources for deployment of the workload based on the rank of each of the set of resources.