A system, method, and computer-readable medium are disclosed for performing a data center monitoring and management operation. The data center monitoring and management operation includes: selecting a service subscription to manage; monitoring asset resource utilization of the subscription service; generating an adaptive service subscription schedule recommendation; and, managing the service subscription based upon the adaptive service schedule recommendation.

The information processing method includes: acquiring, by an information processing device, numerical value information pertaining to an attribute of a network slice, the numerical value information being obtained by converting input information which has been inputted through a user interface; and selecting, by the information processing device, a network slice as a candidate to which a terminal device is to be connected.

The information processing method includes: acquiring, by an information processing device, numerical value information pertaining to an attribute of a network slice, the numerical value information being obtained by converting input information which has been inputted through a user interface; and selecting, by the information processing device, a network slice as a candidate to which a terminal device is to be connected.

Disclosed herein is a system that implements a model for automatic discovery and identification of a person who is most relevant to handle a notification generated for a resource based on a triggered event. The model accesses an activity log for the resource to identify operations that are relevant to a type of the event. The operations are performed by different users (e.g., owners of the shared resource). The model then calculates an operation relevance score for each of the operations and a user relevance score for each of the different users. The user relevance scores are used to identify a most relevant person from the different users. Contact information for the most relevant person (e.g., name, email address, phone number) is added to the notification so that a person that first views the notification can efficiently forward the notification to the person best positioned to deal with the event.

One or more systems, computer-implemented methods, and computer program products to facilitate a process for consensus regarding proceeding with a request of a transaction are provided. A system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise a services component that operates a service of a transaction, where the services component approaches consensus regarding a request of the transaction by communicating with one or more other services components that operate one or more other services immediately upstream or downstream in the transaction to the service. The services component can approach the consensus by communicating only with the one or more other services components. To approach the consensus, the services component can communicate one or more messages that include one or more requests, votes or final decisions.

One or more systems, computer-implemented methods, and computer program products to facilitate a process for consensus regarding proceeding with a request of a transaction are provided. A system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise a services component that operates a service of a transaction, where the services component approaches consensus regarding a request of the transaction by communicating with one or more other services components that operate one or more other services immediately upstream or downstream in the transaction to the service. The services component can approach the consensus by communicating only with the one or more other services components. To approach the consensus, the services component can communicate one or more messages that include one or more requests, votes or final decisions.

The present disclosure facilitates improving the operation of a cloud service by updating its configuration information and its resource requirements. The resource utilization of the cloud service can be monitored, and a decision logic module can determine whether action is required. When action is required, an update can be prepared and applied, and notifications can be generated about the condition and its resolution. Resolutions can require correlation of multiple cloud services to provide real-time access to information that is not otherwise available to a single entity. Resolutions can be learned and predicted in a number of ways using a predictive engine.

The present disclosure facilitates improving the operation of a cloud service by updating its configuration information and its resource requirements. The resource utilization of the cloud service can be monitored, and a decision logic module can determine whether action is required. When action is required, an update can be prepared and applied, and notifications can be generated about the condition and its resolution. Resolutions can require correlation of multiple cloud services to provide real-time access to information that is not otherwise available to a single entity. Resolutions can be learned and predicted in a number of ways using a predictive engine.

A method and system corrects a content delivery infrastructure. The method of the system includes receiving a request to resolve reported issues for the content delivery infrastructure, collecting content delivery metrics for the content delivery infrastructure, executes a language transformer model on the request and the content delivery metrics to generate a set of possible resolutions with confidence ratings, and implementing an automated solution based on a resolution from the set of possible resolutions, in response to the resolution having a confidence rating above a threshold.

The disclosed technology teaches keeping up with the deployment of APIs, so that Secure Access Service Edge (SASE) protection is afforded, parsing an OpenAPI specification for an API family, for identifying overall attributes of the API family. The method includes identifying resources with respective URIs within the API family and extracting usable attributes of the API resources, useful for building a connector, extracting per-activity attributes that correspond to core activities that trigger protective actions. The disclosed technology also includes applying a connector creator that performs actions including accessing a template for creating connector rules that recognize intercepted API calls and activities requested by the API calls, and that trigger the protective actions, using the template and the extracted attributes from the API resources, producing the connector rules, and storing the connector rules for use in processing intercepted APIs. Further taught is using the connector rules for the SASE protection.