Abstract: Provisioning infrastructure from visual diagrams can include selecting, with a first neural network, regions of interest within an infrastructure architecture diagram that corresponds to an infrastructure offered by an infrastructure provider for supporting a computer application. With a second neural network, infrastructure resources and interconnections among the infrastructure resources can be identified based on objects appearing within the regions of interest. Properties corresponding to the infrastructure resources identified can be determined with a third neural network. With a fourth neural network, an infrastructure architecture specification can be generated, the infrastructure architecture specification specifying the infrastructure resources, corresponding properties of the infrastructure resources, and interconnections among the infrastructure resources. The infrastructure architecture specification can be used to configure networked resources to support the computer application.

Abstract: Provisioning infrastructure from visual diagrams can include selecting, with a first neural network, regions of interest within an infrastructure architecture diagram that corresponds to an infrastructure offered by an infrastructure provider for supporting a computer application. With a second neural network, infrastructure resources and interconnections among the infrastructure resources can be identified based on objects appearing within the regions of interest. Properties corresponding to the infrastructure resources identified can be determined with a third neural network. With a fourth neural network, an infrastructure architecture specification can be generated, the infrastructure architecture specification specifying the infrastructure resources, corresponding properties of the infrastructure resources, and interconnections among the infrastructure resources. The infrastructure architecture specification can be used to configure networked resources to support the computer application.

Abstract: A method and associated systems for predicting when a resource will become critical to a business. A processor of a computer system identifies a resource as being capable of becoming critical to a business by identifying a historic impact of the resource as a function of prior incidents during which a disruption of the resource had resulted in a severe impact upon the business. The processor further identifies performance parameters and social parameters that were related to these prior periods of criticality and uses these parameters, along with real-time measurements of the performance parameters, to derive a performance index and a social business index that allow the processor to determine whether the resource will become critical during a current or future time period. The processor represents this current or future period of criticality as a pulse-width modulated waveform that may be further processed by automated means.