Interactions between media devices and content distribution systems are enhanced by analyzing and/or optimizing the selection of which sources the media devices access for which content. Content consumption metrics are tracked for a user and/or device, such as which content items or channels are watched, amounts of time the channels or items are watched, which content items a user has expressed an interest in, and so forth. Subscription and/or license information may also be tracked. Content availability information is collected across, potentially, multiple content distribution systems, including information indicating what subscriptions or licenses are needed to view specific channels, services, or items of content from specific content distribution systems. Based on the content consumptions metrics, subscription information, and content availability information, various actions may be taken, such as displaying a subscription utilization report, suggesting alternative content consumption strategies, and so forth.

A control arithmetic device controls so that an approval-receiving device displays a content of a new control program that the control arithmetic device received from the editing device. The approval-receiving device receives input of approval information that indicates whether a change of a control program is approved or not from an manager. The control arithmetic device changes the control program to the new control program in the case where the approval information received from the approval-receiving device indicates approval of the control program.

A client device for use with a router and an external server. The router has a configurable feature. The external server includes an HTML file and audio files associated with the configurable feature. The client device includes a memory and a processor configured to: receive a voice command, from a user, related to the configurable feature; display on the GUI an icon indicating an HTML feature associated with the HTML file and icons indicating audio features associated with the audio files; receive a selection by the user of one of the HTML feature and the audio features; retrieve, from the external server, the HTML file when the selection corresponds to a selection of the HTML feature; display, on the GUI, the retrieved HTML file when the selection corresponds to a selection of the HTML feature; retrieve, from the external server, the audio file when the selection corresponds to a selection of the audio feature; and play, from the speaker, the retrieved audio file when the selection corresponds to the selection of the audio feature.

Some embodiments of the invention provide a method for deploying network elements for a set of machines in a set of one or more datacenters. The datacenter set is part of one availability zone in some embodiments. The method receives intent-based API (Application Programming Interface) requests, and parses these API requests to identify a set of network elements to connect and/or perform services for the set of machines. In some embodiments, the API is a hierarchical document that can specify multiple different compute and/or network elements at different levels of compute and/or network element hierarchy. The method performs automated processes to define a virtual private cloud (VPC) to connect the set of machines to a logical network that segregates the set of machines from other machines in the datacenter set. In some embodiments, the set of machines include virtual machines and containers, the VPC is defined with a supervisor cluster namespace, and the API requests are provided as YAML files.

Systems and methods are provided for efficient and automated control of software permissions and access to network resources across a complex enterprise environment. An access request management (“ARM”) system may formulate a list of functions and associated parameters that may be processed by an agentless distribution system. In response to receiving the set of instructions, the agentless distribution system may generate system-specific executable instructions for performing automated control of one or more of the network resources. The agentless distribution system may formulate system-specific executable instructions for a network resource using commands that, when executed on the network resource, implement automated control in accordance with the parameters defined in the set of instructions provided by the ARM system.

Methods, apparatus, and processor-readable storage media for automatically replicating configuration parameters from securely identified connected systems are provided herein. An example computer-implemented method includes discovering a set of one or more systems connected via at least one network; identifying at least one of the one or more systems of the discovered set by processing cryptographic data associated with at least a portion of the one or more systems; establishing a communication session with the at least one identified system by securing at least one application programming interface; replicating one or more configuration parameters from at least a portion of the at least one identified system in connection with the established communication session; and performing one or more automated actions based at least in part on the one or more replicated configuration parameters.

Disclosed are methods and apparatus for implementing in an electronic device that includes a processor and memory. Virtual resources, which are associated with an execution of a user's applications in a cloud resource configuration including virtual machines, network services and storage, are identified. A first topology map of the virtual resources, including a plurality of nodes, is generated. The first topology map, including the nodes, is output. A vector, which is associated with each node, said vector including one or more features associated with each node, is generated. Based upon the vectors, a distribution of the plurality of nodes within two or more groups is determined. A second topology map, including each of the node groups in one of a collapsed format, wherein only a identifier of the node group is output or an expanded format, wherein a portion of the plurality of nodes the node group are output, is output.

Examples herein include systems and methods for providing capacity forecasting for high-usage periods of a computing infrastructure. An example method can include segmenting a first portion of a data stream and generating a first core set for a forecasting model that predicts future usage of computing resources. The example method can further include segmenting a second portion of the data stream, generating a second core set, and using both core sets to forecast usage. The first core set can then be phased out after a predetermined time period has elapsed such that forecasting is based only on the second core set. The example method can further include defining at least two clusters of data and performing predictive analysis on that specific cluster. Cluster-specific results can be displayed on a GUI, which can also provide a user with options for increase or decrease computing resources based on the predictions.

In one implementation, a method for topology based management of second day operations can include identifying a cloud service operating on a second system, discovering, via a first system, an existing realized topology of the second system as an inferred realized topology for the first system, wherein the existing realized topology is provisioned by the second system, defining a management process to be performed within the cloud service, via the first system, upon the instantiation of the inferred realized topology by the first system, and executing the management process utilizing the first system.

The present invention is directed to a method and information handling system (IHS) for estimating bandwidth and providing one or more Quality of Service (QoS) parameters between a first set of one or more storage devices and at least one other set of one or more storage devices. The method comprises the following, for a given set of the at least one other set of one or more storage devices. The method creates a given temporary volume associated with the given set. The method sends a given sequential workload of actual traffic between the first set and the given set. The method estimates, based upon the results of sending the given sequential workload of actual traffic, the one or more Quality of Service (QoS) parameters for the given set.