Various embodiments herein each include at least one of systems, methods, software, and devices for edge system health monitoring and auditing. One embodiment, in the form of a method includes performing a system audit over a first network of devices deployed within the facility to determine a status of each respective device. This embodiment further includes determining an overall system status for the facility based on results of the system audit including consideration of a status of each of the devices deployed within the facility and storing data representative of the overall system status of the facility. This embodiment also transmits at least a portion of the data representative of the overall system status of the facility over a second network to a facility system status monitoring application which may then present a single indicator of the overall system status or health.

A system and method for providing intelligence of software applications. The method comprises collecting, from a plurality of resources, data utilized to at least execute a plurality software applications of an organization; analyzing the collected data to identify the plurality of software applications; determining, by using a static analysis process, dependencies between the software applications of the identified plurality of software applications; compiling visibility data based on the identified plurality of software applications and the determined dependencies; generating a dataflow map, wherein the dataflow map includes the visibility data; and enabling a control of at least one policy based on the visibility data included in the dataflow map.

A quantum computing monitoring system may receive a request from user describing an algorithm to be executed using classical and quantum computing resources and a metric to be monitored associated with execution of the algorithm at the quantum computing resources. In execution, the quantum computing monitoring system may cause measurements to be obtained from the quantum computing resources at individual steps of the execution of the algorithm at the quantum computing resources, and the metric to be determined based on the obtained measurements. The quantum computing monitoring system may evaluate the metric with respect to a threshold, and provide an alert to the user responsive to determining that the metric fails to satisfy the threshold. The quantum computing monitoring system may further perform an operation to modify the execution of the algorithm at the quantum computing resources as needed.

Various embodiments herein each include at least one of systems, methods, software, and devices for edge system health monitoring and auditing. One embodiment, in the form of a method includes performing a system audit over a first network of devices deployed within the facility to determine a status of each respective device. This embodiment further includes determining an overall system status for the facility based on results of the system audit including consideration of a status of each of the devices deployed within the facility and storing data representative of the overall system status of the facility. This embodiment also transmits at least a portion of the data representative of the overall system status of the facility over a second network to a facility system status monitoring application which may then present a single indicator of the overall system status or health.

This application provides a trace chain information query method, including: receiving, by a trace chain server, first trace chain information sent by a first service node and second trace chain information sent by a second service node, where the first service node is a service node in a first trace chain, the second service node is a service node in a second trace chain, both the first trace chain and the second trace chain are generated as triggered by a same user operation, the first trace chain information includes a group identifier, the second trace chain information includes the group identifier, and the group identifier is used to indicate the user operation; and finding, by the trace chain server, the first trace chain information and the second trace chain information based on the group identifier.

Systems, methods, and storage media provided are useful in a computing environment receiving, modifying, and transforming service level information from database servers and entities in a hosted database environment. Multiple application programming interface (API) calls are made by a database observation system to request information for multiple service level indicators from database servers belonging to multiple different entities. Database observation system receives and aggregates the information for multiple service level indicators from each of the database servers belonging to multiple different entities. The database observation system provides, within a dashboard interface, the aggregated information for each of the multiple service level indicators, individual service level indicator scores, and aggregated service level indicator scores for each of the database servers for each of the multiple entities.

In one embodiment, a method for providing a verbalized diagnostic message to a user of an information handling system includes: determining, by an embedded controller, an error associated with the information handling system; accessing, by the embedded controller, a memory device of the information handling system, the memory device storing a plurality of diagnostic files; selecting, by the embedded controller, a diagnostic file from the plurality of diagnostic files, the diagnostic file indicating the error associated with the information handling system; generating, by the embedded controller, the verbalized diagnostic message; sending, by the embedded controller, the verbalized diagnostic message to an audio device of the information handling system in an embedded controller audio stream; and presenting, by the audio device, the verbalized diagnostic message to the user via one or more speakers of the information handling system.

A method for generating simulations based on data. The method may include receiving internal data and external data which affect output data; differencing the internal data, the external data, and the output data to create first differenced data; training a machine learning model using the first differenced data: receiving scenario input data as input to the machine learning model, wherein the scenario input data comprises conditional data input from a user and/or input data obtained from a separately simulated machine learning data change model, the conditional data input including at least one feature dimension associated with at least one of the internal data or the external data, and the input data including at least one feature dimension associated with at least one of the internal data or the external data; and generating predicted output based on the scenario input data.

Techniques described herein relate to systems and methods of data storage, and more particularly to providing layering of file system functionality on an object interface. In certain embodiments, file system functionality may be layered on cloud object interfaces to provide cloud-based storage while allowing for functionality expected from a legacy applications. For instance, POSIX interfaces and semantics may be layered on cloud-based storage, while providing access to data in a manner consistent with file-based access with data organization in name hierarchies. Various embodiments also may provide for memory mapping of data so that memory map changes are reflected in persistent storage while ensuring consistency between memory map changes and writes. For example, by transforming a ZFS file system disk-based storage into ZFS cloud-based storage, the ZFS file system gains the elastic nature of cloud storage.

A collection of multiple software applications may be tested when a patch is issued. However, an emergency patch for a time-sensitive incident may not allow for full regression or functional testing. Provided herein are techniques for performing a multiple application smoke test. Access information, login information, and a success indicator are obtained for each of a plurality of software applications. A test plan including two or more test packages is determined. Each test package indicates a subset of applications and includes access information, login information, and success indicators corresponding to the subset. The test packages are executed in parallel, including authenticating, loading, and validating. Logs are generated and a user interface is provided to present the logs and whether validation of the application interfaces passed or failed, and a failure reason for failed tests.