Systems and methods for reporting health status for a plurality of computing devices such as within a data center are disclosed. A management device connected to the computing devices via a network executes a management application that periodically requests and receives status data from the computing devices. A pool checker may be used to track corresponding pool status data, and an environment checker may periodically request and receive environmental data from environmental sensors for temperature, humidity, and audio. A report generator creates health reports and assigns device health classifications based on the device status data, the environmental data, and the pool health data. The data may be associated with one or more locations and customers, permitting filtering of the report.

An encoder receives an application log file including component values and encodes the component values into lists of preliminary encoded values. The lists of preliminary encoded values are combined into a combined list of preliminary encoded values. An encoder-decoder neural network is trained to encode the combined list of preliminary encoded values into a list of collectively encoded values, to decode the list of collectively encoded values into a list of decoded values, and to optimize a metric measuring the encoder-decoder neural network's functioning, in response to receiving the combined list of preliminary encoded values. The trained encoder-decoder neural network receives combined lists of preliminary encoded values for application log files and encodes the combined lists of preliminary encoded values into lists of collectively encoded values. The lists of collectively encoded values are sent to a detector, thereby enabling the detector to detect an application event associated with the application log files.

A first information handling system may receive a telemetry metric report from a client information handling system. The first information handling system may determine that one or more characteristics of the telemetry metric report do not match one or more predetermined telemetry metric report characteristics. The first information handling system may perform one or more corrective actions based, at least in part, on the determination that the one or more characteristics of the telemetry metric report do not match one or more predetermined telemetry metric report characteristics.

The present disclosure refers to a method for detecting and reporting an operation error in an in-vitro diagnostic system (1) for determining a sample of a bodily fluid, comprising: providing a plurality of sample vessels (2) each containing a sample of a bodily fluid; and providing a plurality of functional modules (3), comprising an analysis device (4) configured to determine the sample, a handling system (5) configured to handle the plurality of sample vessels (2), and an automation track (6) provided by the handling system (5) and configured to transport the plurality of sample vessels (2) to the analysis device (4). The method further comprises: providing an operation control device (7) connected to at least one of the functional modules (3) and configured to control operation of the at least one functional module (3), and comprising one or more data processors (8), wherein an application software is running on the one or more data processors (8) for controlling operation of the at least one functional module (3); controlling operation of the at least one functional module (3) by the operation control device (7); and detecting and reporting an operation error by an error detecting and reporting device (9), comprising: detecting the operating error for the operation of at least one of the plurality of functional modules (3) and the operation control device (7), providing error data indicative of the operation error, receiving a user input through a user interface (10) after detecting the operation error, providing labelling data in response to receiving the user input, the labelling data being indicative of information related to the operating error in addition to the error data, providing error report data comprising the error data and the labelling data, and transmitting the error report data to an error repository (11) remotely located with respect to both the plurality of functional modules (3) and the operation control device (7); receiving the error report data in a machine learning process running in a data processing device connected to the error repository (11); processing the error report data by the machine learning process in the data processing device; providing a application software update for the application software in response to the processing of the error report data by the machine learning process in the data processing device; providing the application software update to the operation control device (7); and controlling operation of the at least

In an example embodiment, a solution is provided that detects performance degradation of a particular functionality or an overall system problem using machine learning, Mann-Kendall tests, and correlation tests. After a problem has been automatically detected, the first steps of a root cause analysis may be automatically performed, indicating whether, for example non-optimal ABAP coding, a database issue, or hardware or software bottleneck, or some combination thereof. This approach allows a system to rapidly identify a system performance problem and its root cause by combing several data sources. One can see immediately, for example, whether an ABAP code change, an expensive SQL statement, or the combination of both led to an increase in the average response times of a transaction over time.

Devices and techniques for managing flash memory are disclosed herein. A memory controller may receive a first program request comprising first host data to be written to the flash memory. The flash memory may comprise a number of storage units with each storage unit comprising a number of storage sub-units. If the first host data is less than a remainder threshold, the memory controller may generate a first program data unit comprising the first host data and first log data describing the flash memory. The memory controller may program the program data unit to the first storage unit of the flash memory, where the first log data is written to a first storage sub-unit of the number of storage sub-unit. The memory controller may also store an indication that the first storage sub-unit is invalid.

Apparatus and method for scalable error reporting. For example, one embodiment of an apparatus comprises error detection circuitry to detect an error in a component of a first tile within a tile-based hierarchy of a processing device; error classification circuitry to classify the error and record first error data based on the classification; a first tile interface to combine the first error data with second error data received from one or more other components associated with the first tile to generate first accumulated error data; and a master tile interface to combine the first accumulated error data with second accumulated error data received from at least one other tile interface to generate second accumulated error data and to provide the second accumulated error data to a host executing an application to process the second accumulated error data.

A quality score for a computer application release is determined using a first number of unique users who have launched the computer application release on user devices and a second number of unique users who have encountered at least once an abnormal termination with the computer application release on user devices. Additionally or optionally, an application quality score can be computed for a computer application based on quality scores of computer application releases that represent different versions of the computer application. Additionally or optionally, a weighted application quality score can be computed for a computer application by further taking into consideration the average application quality score and popularity of a plurality of computer applications.

A method of managing alerts in a client instance associated with a configuration management database (CMDB) platform is disclosed. The method includes: receiving a request identifying a particular CI and a particular alert; identifying related CIs from a plurality of CIs associated with the client instance based on the particular CI and the particular alert; identifying alerts, incidents (INTs), changes (CHGs), and problems (PRBs) of the client instance that are associated with either the particular CI or the related CIs; determining frequency data for the alerts, INTs, CHGs, and PRBs associated with the particular CIs and frequency data for the alerts, INTs, CHGs, and PRBs associated with the related CIs; and sending a response that includes the frequency data for the alerts, INTs, CHGs, and PRBs associated with the particular CIs to be presented alongside the frequency data for the alerts, INTs, CHGs, PRBs associated with the related CIs.

In an embodiment, an electronic circuit includes: a plurality of signal channels; a signal collection circuit configured to determine an action of the electronic circuit based on channel signals from the plurality of signal channels; and a first signal management circuit coupled between the plurality of signal channels and the signal collection circuit, the first signal management circuit including: a set of internal registers, a set of user registers, and a decoder configured to program the set of internal registers based on a content of the set of user registers, where the first signal management circuit is configured to receive the channel signals via the plurality of signal channels, generate first aggregated signals based on the received channel signals and a content of the set of internal registers, and transmitting the first aggregated signals to the signal collection circuit.