Abstract: Systems and methods are disclosed for assisting with adoption or migration to a cloud-based system architecture. A system can include a network communications device and one or more hardware processors. The one or more hardware processors can create stack code from a code template, host a catalog of code templates including the code template, output identifiers for the catalog via a computer network for presentation, deploy the stack code to a server for use in preparing a virtual container, construct and launch a trial version of the virtual container from the stack code using the server, output training information via the computer network for presentation where the training information is associated with operations of the virtual container, monitor utilization of or performance associated with the virtual container, and output governance information via the computer network for presentation where the governance information is associated with the operations of the virtual container.

Abstract: Systems and methods are disclosed for assisting with adoption or migration to a cloud-based system architecture. A system can include a network communications device and one or more hardware processors. The one or more hardware processors can create stack code from a code template, host a catalog of code templates including the code template, output identifiers for the catalog via a computer network for presentation, deploy the stack code to a server for use in preparing a virtual container, construct and launch a trial version of the virtual container from the stack code using the server, output training information via the computer network for presentation where the training information is associated with operations of the virtual container, monitor utilization of or performance associated with the virtual container, and output governance information via the computer network for presentation where the governance information is associated with the operations of the virtual container.

Abstract: Described herein are techniques related to automatic selection of a group of one or more digital images from a set of digital images based, at least in part, upon weighted criteria regarding properties (e.g., metadata or content) of the digital images. This Abstract is submitted with the understanding that it will not be used to interpret or limit the scope or meaning of the claims.

Abstract: Described herein are techniques related to automatic sharing of superlative digital images. Such techniques include an automatic selection of one or more superlative digital images from a set of digital images based, at least in part, upon weighted criteria regarding properties (e.g., metadata or content) of the digital images. Instead, interested parties (e.g., subscribers and/or persons with an association with a particular image) are notified automatically. This Abstract is submitted with the understanding that it will not be used to interpret or limit the scope or meaning of the claims.

Abstract: Described herein are techniques related to automatic selection of one or more digital images from a set of digital images collected from multiple image sources, such as such as digital cameras and camera-equipped mobile phones. The automatic selection is based, at least in part, upon various weighted criteria regarding properties (e.g., metadata or content) of the digital images. The automatic selection and other aspects of the techniques described herein can be performed, at least in part, in or by the so-called cloud. This Abstract is submitted with the understanding that it will not be used to interpret or limit the scope or meaning of the claims.

Abstract: Described herein are techniques related to automatic selection of one or more digital images from a set of digital images collected from multiple image sources, such as such as digital cameras and camera-equipped mobile phones. The automatic selection is based, at least in part, upon various weighted criteria regarding properties (e.g., metadata or content) of the digital images. The automatic selection and other aspects of the techniques described herein can be performed, at least in part, in or by the so-called cloud. This Abstract is submitted with the understanding that it will not be used to interpret or limit the scope or meaning of the claims.

Abstract: Described herein are techniques related to automatic sharing of superlative digital images. Such techniques include an automatic selection of one or more superlative digital images from a set of digital images based, at least in part, upon weighted criteria regarding properties (e.g., metadata or content) of the digital images. Instead, interested parties (e.g., subscribers and/or persons with an association with a particular image) are notified automatically. This Abstract is submitted with the understanding that it will not be used to interpret or limit the scope or meaning of the claims.

Abstract: Described herein are techniques related to automatic selection of a subset of digital-video clips (i.e., “highlight reel”) from a set of digital-video clips. The automatic selection is based, at least in part, upon various weighted criteria regarding properties (e.g., metadata, enhanced metadata, and/or content) of the clips. A video-capturing device automatically produces a highlight reel by selecting the superlative clips (e.g., the best clips). This Abstract is submitted with the understanding that it will not be used to interpret or limit the scope or meaning of the claims.

Abstract: Described herein are techniques related to automatic selection of a group of one or more digital images from a set of digital images based, at least in part, upon weighted criteria regarding properties (e.g., metadata or content) of the digital images. This Abstract is submitted with the understanding that it will not be used to interpret or limit the scope or meaning of the claims.