Abstract: A fulfillment bridge orchestrates various types of fulfillment that fall generally into three categories of fulfillment: CSB platform based automated provisioning; external automated provisioning; and manual workflow provisioning. External automated provisioning is implemented through fulfillment agents. The fulfillment agents can implements self-registration for allowing the fulfillment bridge to understand the capabilities of the fulfillment agent. Examples of such capabilities include, but are not limited to, supported actions and input/output parameters. Adapters of the fulfillment bridge interface with the fulfillment agents and fulfillment scripts that are independently operated with respect to the CSB platform can be use to interface with the fulfillment adapters.

Abstract: A cloud service brokerage system includes an electronic cloud service catalog containing cloud service defining information for a plurality of cloud services and a cloud service store coupled to the electronic cloud service catalog. The cloud service store includes cloud service publications each representing cloud service functionality corresponding to one or more of the cloud services. The cloud service store includes a user interface structure enabling generation of cloud service orders each including one or more of the cloud service publications.

Abstract: A system configured to facilitate brokering hybrid cloud services selects information requests for characterizing an information technology application. The system responses to the information requests and determines a plurality of sets of the responses each used for deriving a value of a respective one of a plurality of factor functions. The system determines a plurality of assessment results each derived using values for of a respective set of the factor functions. Each one of the assessment results characterizes a respective aspect of deploying the information technology application within a cloud environment.

Abstract: A non-transitory computer-readable storage medium has tangibly embodied thereon and accessible therefrom instructions interpretable by at least one data processing device. The instructions are configured for causing the at least one data processing device to perform a method comprising creating a resource group for providing cloud services, receiving a request to increase a quantity of the virtual machines of the resource group; and instantiating one or more additional virtual machines within the resource group in response to receiving the request. The resource group includes one or more virtual machines that all have virtual machine specifications of a particular configuration. Instantiating the one or more additional virtual machines includes providing each one of the one or more additional virtual machines with virtual machine specifications of the particular configuration.

Abstract: A method is performed by a computer configured to facilitate brokering of cloud services. The method includes a plurality of operations. An operation of receiving a request for instantiating an instance of a cloud service budget for a customer is performed. An operation of receiving budget configuration information is performed after receiving the request for instantiating the instance of the budget. The budget configuration information specifies a cloud service budget threshold. An operation of determining a budgetary impact of the cloud service order is performed. An operation of receiving information defining a price of a cloud service order subject to the cloud service budget is performed. In response to the budgetary impact indicating that a price of the cloud order will cause a cloud service billing amount for the customer to exceed the budget threshold, an operation of implementing at least one budgetary action associated with the budgetary impact determination.

Abstract: A pricing rule is created for governing a manner in which pricing of cloud services is adjusted. The pricing rule includes pricing rule configuration information defining an outcome of the pricing rule when applied to cloud service prices and a pricing rule context defining a boundary within which the pricing rule must be implemented to thereby cause the pricing rule to be applied to the cloud service prices. The pricing rule configuration information can specify a pricing adjustment mode, a type of price upon which the pricing rule is to be applied, an entity to which the outcome of pricing rule is to be allocated, and a category of charge upon which the pricing rule is to be applied. The pricing rule context can include a context basis and one or more context basis selections.

Abstract: Implementation of cross provider security in accordance with the disclosures made herein enables users of a system (e.g., a cloud services brokerage platform) in a cloud environment provides for system-managed provisioning and management of keys to cloud resources thereby allowing the user to manage data security and enable secured access to their cloud resources. To this end, cross provider security management functionality in accordance with the disclosures made herein can include provisioning system-generated keys across different regions in a provider, provisioning cloud brokerage system-generated keys across different providers; and associating (i.e., managing) the keys from the system to a hardware security module. The keys can be managed by/though a variety of different resources (e.g., brokering system, VDC, user group concepts, etc).

Abstract: A method, system and computer program product for accurately predicting capacity requirements for Information Technology (IT) resources in physical, virtual, cloud and hybrid cloud environments. The business demand is translated into IT application demand, which is translated into IT architecture layer demand. Resource groups are created for each IT application, IT architecture layer and resource type combination. The utilization for each IT resource group within the IT architecture layers is computed using the created resource groups, IT application demand and IT architecture layer demand. Under or over-utilized IT resource groups may be identified using the computed utilization for each IT resource group. Upon identifying such IT resources, an optimal resource profile (e.g., number of servers) for each resource group is computed.