Abstract: A multi-layer resource control stack based system may generate an availability indication for multiple domains supported by the resource control stack and send the indication to a client node. The client node may respond with a selection of a domain. The client node may also indicate a compute resource to be managed by the resource control stack. In response to the selection from the client node, the resource control stack may initiate a virtual representation of the domain. The client node may interact with the virtual representation to receive recommendations, utilization data, and control information relevant to the compute resource and within a subject area associated with the domain.

Abstract: A dynamic tagging system facilitates the control, monitoring, and operation of technical components, such as virtual machines, in cloud environments. The dynamic tagging system performs an analysis on unstructured metadata tags linked to the technical components. The unstructured metadata tags may be created for technical components by authorized operators of the technical components, for instance. The dynamic tagging system may analyze an individual unstructured metadata tag or a combination of unstructured metadata tags assigned to a technical component to automatically trigger any pre-configured control, monitoring or operational actions for the technical component. As one example, the dynamic tagging system detects a trigger condition for an action trigger to perform automated electronic communications between any selected entities to convey information about the technical component.

Abstract: A dynamic tagging system facilitates the control, monitoring, and operation of technical components, such as virtual machines, in cloud environments. The dynamic tagging system performs an analysis on unstructured metadata tags linked to the technical components. The unstructured metadata tags may be created for technical components by authorized operators of the technical components, for instance. The dynamic tagging system may analyze an individual unstructured metadata tag or a combination of unstructured metadata tags assigned to a technical component to automatically trigger any pre-configured control, monitoring or operational actions for the technical component. As one example, the dynamic tagging system detects a trigger condition for an action trigger to perform automated electronic communications between any selected entities to convey information about the technical component.

Abstract: A multi-layer resource control stack based system may generate an availability indication for multiple domains supported by the resource control stack and send the indication to a client node. The client node may respond with a selection of a domain. The client node may also indicate a compute resource to be managed by the resource control stack. In response to the selection from the client node, the resource control stack may initiate a virtual representation of the domain. The client node may interact with the virtual representation to receive recommendations, utilization data, and control information relevant to the compute resource and within a subject area associated with the domain.

Abstract: A multi-layer resource control stack based system may generate an availability indication for multiple domains supported by the resource control stack and send the indication to a client node. The client node may respond with a selection of a domain. The client node may also indicate a compute resource to be managed by the resource control stack. In response to the selection from the client node, the resource control stack may initiate a virtual representation of the domain. The client node may interact with the virtual representation to receive recommendations, utilization data, and control information relevant to the compute resource and within a subject area associated with the domain.

Abstract: A multi-layer resource control stack based system may generate an availability indication for multiple domains supported by the resource control stack and send the indication to a client node. The client node may respond with a selection of a domain. The client node may also indicate a compute resource to be managed by the resource control stack. In response to the selection from the client node, the resource control stack may initiate a virtual representation of the domain. The client node may interact with the virtual representation to receive recommendations, utilization data, and control information relevant to the compute resource and within a subject area associated with the domain.

Abstract: Provisioning resources into the cloud is a constantly increasing technical challenge as more cloud service providers emerge, each offering disparate computing platforms, services, assets, supported technical components, and other features. A network proxy controls and normalizes the tagging data applicable across the multiple cloud service providers. The network proxy provides a central control mechanism for discovering, monitoring, and updating complex tagging data applied to the technical components provisioned with the cloud service providers. The network proxy also dynamically generates technical component request interfaces that include specifically prioritized metadata tags.

Abstract: A dynamic tagging system facilitates the control, monitoring, and operation of technical components, such as virtual machines, in cloud environments. The dynamic tagging system performs an analysis on unstructured metadata tags linked to the technical components. The unstructured metadata tags may be created for technical components by authorized operators of the technical components, for instance. The dynamic tagging system may analyze an individual unstructured metadata tag or a combination of unstructured metadata tags assigned to a technical component to automatically trigger any pre-configured control, monitoring or operational actions for the technical component. As one example, the dynamic tagging system detects a trigger condition for an action trigger to perform automated electronic communications between any selected entities to convey information about the technical component.

Abstract: Provisioning resources into the cloud is a constantly increasing technical challenge as more cloud service providers emerge, each offering disparate computing platforms, services, assets, supported technical components, and other features. A network proxy controls and normalizes the tagging data applicable across the multiple cloud service providers. The network proxy provides a central control mechanism for discovering, monitoring, and updating complex tagging data applied to the technical components provisioned with the cloud service providers. The network proxy also dynamically generates technical component request interfaces that include specifically prioritized metadata tags.

Abstract: Provisioning resources into the cloud is a constantly increasing technical challenge as more cloud service providers emerge, each offering disparate computing platforms, services, assets, supported technical components, and other features. A multi-cloud network proxy controls and normalizes the tagging data applicable across the multiple cloud service providers. The network proxy provides a central control mechanism for discovering, monitoring, and updating complex tagging data applied to the technical components provisioned with the cloud service providers. The network proxy also dynamically generates technical component request interfaces that include specifically prioritized metadata tags.

Abstract: An example multi-tiered cloud application topology modeling tool is provided that facilitates receiving metadata associated with a widget, the widget being expressive of an interface representing a base class of a topology element in a cloud application topology, the topology element being classified in one of a plurality of tiers of cloud application topology, adding an instance of the widget to the cloud application topology, enforcing rules described by the metadata that specify behavioral constraints on the widget in a context of the cloud application topology across the plurality of tiers, and modifying the cloud application topology according to the rules without human intervention, the modified topology being rendered on a canvas of a user interface of the cloud application topology modeling tool. In specific embodiments, the cloud application topology on the canvas is converted to a stack blueprint that can be executed to instantiate the topology.

Abstract: Provisioning resources into the cloud is a constantly increasing technical challenge as more cloud service providers emerge, each offering disparate computing platforms, services, assets, supported technical components, and other features. A multi-cloud network proxy controls and normalizes the tagging data applicable across the multiple cloud service providers. The network proxy provides a central control mechanism for discovering, monitoring, and updating complex tagging data applied to the technical components provisioned with the cloud service providers. The network proxy also dynamically generates technical component request interfaces that include specifically prioritized metadata tags.