Systems, methods, computer-readable media, and apparatuses for identifying and executing one or more interactive condition evaluation tests to generate an output are provided. In some examples, user information may be received by a system and one or more interactive condition evaluation tests may be identified. An instruction may be transmitted to a computing device of a user and executed on the computing device to enable functionality of one or more sensors that may be used in the identified tests. A user interface may be generated including instructions for executing the identified tests. Upon initiating a test, data may be collected from one or more sensors in the computing device. The data collected may be transmitted to the system and may be processed using one or more machine learning datasets to generate an output.

In some embodiments, an electronic device presents indications of usage metrics for the device. In some embodiments, an electronic device sets, configures and/or enforces device usage limits. In some embodiments, an electronic device limits access to certain applications during certain periods of time. In some embodiments, an electronic device suppresses auxiliary functions of certain applications when an application usage limit or restriction criteria associated with those applications is reached. In some embodiments, an electronic device manages restriction settings with permission optionally provided by another electronic device.

An infrastructure monitor receives an indication of a fault on a first host computer of a plurality of host computers, wherein each of the plurality of host computers is associated with a different subset of a plurality of queues, and wherein each of the plurality of queues are serviced by a different subset of the plurality of host computers. The monitor identifies a first subset of the plurality of queues associated with the first host computer and determines a workload present on the first subset of the plurality of queues. The monitor further generates a single visualization to provide the indication of the fault on the first host computer, the first subset of the plurality of queues impacted by the fault, and the workload present on the first subset of the plurality of queues and causes presentation of the single visualization.

Automatic identification of execution behavior(s) of software. This automatic identification is based on analysis of historical execution records using machine learning to identify a particular pattern that corresponds to an execution behavior. In order to automatically identify an execution behavior present within particular software, an execution record of that particular software is accessed. The execution record includes an execution trace that reproducibly represents the execution of the software within a particular execution environment, such that the execution record is usable to rerun the execution of the software precisely as the software previously run. Based on finding the particular pattern within the execution record, the computing system automatically identifies that the execution behavior is present within the software.

A system and method for displaying in a two-dimensional array the structured interaction of two variables moving in tandem to achieve a target outcome: e.g., a chemical reaction balancing heat and pressure to produce a desired compound, or an aircraft changing speed over angles of attack. Underlying system operating variables are represented in the display as proxy values of X and Y, scaled so the range and interval of X- and Y-axes are the same. The resulting display is a “matched array” of all possible X, Y intersections, including a unique and clearly-delineated “alignment vector” of those cells in which proxy values of X equal proxy values of Y, the jointly-optimal values of the underlying system operating variables. Wherever X and Y intersect, indicators depict the operating variable values, their proximity to optimal on the alignment vector, and the direction and extent of adjustments needed to achieve optimal system performance.

Present implementations include an electronic device with a system processor (SP) region connectable to an SP, a primary device region connectable to a first electronic device, and a secondary device region disposed between the SP device region and the primary device region, and connectable to a second electronic device. Present implementations further include a debugger region including a debugger unit and disposed adjacent to the primary device region and the secondary device region. Present implementations also include obtaining a debug selection including a debugger selection and a system processor (SP) selection, entering a first debug mode in accordance with a determination that the debugger selection satisfies a debugger criterion and the SP selection satisfies an SP criterion, and entering a second debug mode in accordance with a determination that the debugger selection satisfies the debugger criterion and the SP selection does not satisfy the SP criterion, and entering a third debug mode in accordance with a determination that the debugger selection does not satisfy the debugger criterion.

A matched array technology system and method for displaying in a two-dimensional array the structured interactions between management and a plurality of employees in an organization. Axes contain proxy values of employee and manager expectations scaled to yield a matched array and an alignment vector containing cells representing target alignment between employee and manager expectations. A scatter plot of multiple employee positions portrays the pattern of talent alignment and distribution, representing the talent architecture for the organization. The talent architecture is characterized by multiple static and dynamic metrics that identify normative opportunities to improve organization alignment, and measure organization talent management performance, especially in relation to the reference and general alignment vectors of the array.

A method of performing error analysis in a system comprising microservices comprises identifying a root cause error span from among a plurality of error spans for a trace associated with a user-request, wherein an error span is a span that returns an error to a microservice initiating a call resulting in the span, and wherein a root cause error span is an error span associated with an error originating microservice. The method further comprises determining a call path associated with the root cause error span, where the call path comprises a chain of spans starting at the root cause error span, and where each subsequent span in the chain is a parent span of a prior span. Subsequently the method comprises mapping each span in the chain to a span error frame to create an error stack and rendering an image of the error stack.

A system and method intelligently and automatically improves the performance of a model. The system employs heuristics to select a plurality of performance rules that conform to one or more criteria specified for the performance analysis process. The performance rules include checks to be run on the model and offer advice, such as proposed changes that, if made to the model, may improve its performance. The system may evaluate the proposed changes to determine whether or not they produce an improvement in the model's performance. Proposed changes validated as improving model performance are retained, while proposed changes found not to improve performance are removed.

A matched array technology system and method for displaying in a two-dimensional array the structured interactions between management and a plurality of employees in an organization. Axes contain proxy values of employee and manager expectations scaled to yield a matched array and an alignment vector containing cells representing target alignment between employee and manager expectations. A scatter plot of multiple employee positions portrays the pattern of talent alignment and distribution, representing the talent architecture for the organization. The talent architecture is characterized by multiple static and dynamic metrics that identify normative opportunities to improve organization alignment, and measure organization talent management performance, especially in relation to the reference and general alignment vectors of the array.