System and method for benchmarking a container orchestration platform in a computing environment uses data contained in a configuration file, which specifies at least one benchmark operation having benchmark actions for container orchestration resource types to be performed in the container orchestration platform, to create a resource manager for each container orchestration resource type specified in the configuration file. Using the created resource managers, a routine for each benchmark action is spawned and executed on container orchestration objects in the container orchestration platform. As the routines are executed, performance metrics are collected and at least some of the collected performance metrics are displayed.

A system maintains a knowledge layout to support the analysis of active events and determination of epicenter and aftershock nodes via an event reach stack. At an input layer of the event reach stack, the system may receive active event data. At a semantic layer, the system may parse the active event data to determine event phrases. Based on the event phrases, the system may identify epicenter nodes directly affected by the active event. At an analytic model layer, the system may successively determine aftershock nodes by traversing the knowledge layout outward from the epicenter nodes. The system then directs the response to the active event to the aftershock and epicenter nodes, via action at a focus response layer of the event reach stack.

A system includes one or more databases configured to store at least one configuration rule and one or more processors in communication with the databases. The processors may be configured to compare a product parameter to configuration rules to determine a drift item based on a current value of the product parameter being different than acceptable values defined by a test specified by the configuration rule, the test comprising one of a plurality of test types. The processors may be further configured to store, based on a determination that the drift item is not in a drift database of the databases, the drift item in a database, receive a record of one or more actions performed to resolve the drift item, and in response to receipt of the record, modify a status of the drift item from unresolved to resolved in the database.

Disclosed herein are system, method, and computer-readable medium embodiments for providing the ability to automate the process of generating load tests used for benchmarking APIs. Rather than having to manually generate load tests for a web service API, a test developer can interact with a test service through a web browser and provide the service an API specification and testing parameters. The test service can analyze the API specification, automatically identified endpoints of the API, and generate load tests according to the expected input/output structures of the endpoints. The automatic load test generation can proceed by referring to a library of test instructions and extracting the portions of the test instructions that work for the identified endpoints.

In some embodiments, exemplary user interfaces for provisioning an electronic device with an account are described. In some embodiments, exemplary user interfaces for providing usage information of an account are described. In some embodiments, exemplary user interfaces for providing visual feedback on a representation of an account are described. In some embodiments, exemplary user interfaces for managing the tracking of a category are described. In some embodiments, exemplary user interfaces for managing a transfer of items are described. In some embodiments, exemplary user interfaces for managing an authentication credential connected with an account are described. In some embodiments, exemplary user interfaces for activating a physical account object are described. In some embodiments, exemplary user interfaces for managing balance transfers are described.

A system for estimating one or more data storage parameters and/or statistics in a data storage system is presented. The data storage system includes a plurality of storage containers. The system includes a snapshot module, a container stats aggregator, a synchronization module, a global stats aggregator, and storage stats estimator.

Systems and methods for sampling a set of block IDs to facilitate estimating an amount of data stored in a data set of a storage system having one or more characteristics are provided. According to an example, metadata (e.g., block headers and block IDs) may be maintained regarding multiple data blocks of the data set. When one or more metrics relating to the data set are desired, an efficiency set, representing a subset of the block IDs of the data set, may be created to facilitate efficient calculation of the metrics by sampling the block IDs of the data set. Finally, the metrics may be estimated based on the efficiency set by analyzing one or more of the metadata (e.g., block headers) and the data contained in the data blocks corresponding to the subset of the block IDs and extrapolating the metrics for the entirety of the data set.

A set of deployment applications that are configured to deploy a plurality of resources that compose a containerized application onto at least one cluster of a plurality of different clusters is identified. Each cluster includes a plurality of nodes onto which the plurality of resources can be deployed. A set of clusters of the plurality of clusters onto which the plurality of resources have been deployed as a plurality of deployed resources is identified. User interface imagery that includes information that: identifies a set of deployed resources of the plurality of deployed resources of the containerized application; identifies a total number of deployment applications in the set of deployment applications; and identifies a total number of clusters in the set of clusters is generated. The user interface imagery is presented on a display device.

Various methods, apparatuses, and media for notifying a user of an operational state of a web application are provided. Three values that relate to data caching, error occurrence, and data retrieval are used to determine the operational state. The methods may use a software module that is compatible with any React JavaScript application.

An information processing apparatus manages backup data that can be used as installation data and receives a request from an external apparatus. Also, the present information processing apparatus, in a case where the received request is a request for acquiring backup data, generates, by using the backup data, the installation data to be provided based on information associated with the request origin and information associated with the acquisition origin of the backup data. Wherein the installation data is generated by deleting, as necessary, information to be concealed in the managed backup data.