A memory system and a data processing system including the memory system may manage a plurality of memory devices. For example, the data processing system may categorize and analyze error information from the memory devices, acquire characteristic data from the memory devices and set operation modes of the memory devices based on the characteristic data, allocate the memory devices to a host workload, detect a defective memory device among the memory devices and efficiently recover the defective memory device.

The present technology relates to a display apparatus, a display control method, a portable terminal apparatus, and a program capable of representing various states of an apparatus in a limited region. A television receiver includes a display unit that displays a predetermined image, a communication unit that performs communication of image data with another image display apparatus, an indicator unit that is disposed at at least a part of surroundings of the display unit and includes an indicator which is turned on with predetermined luminance, and a control unit that turns on the indicator so as to correspond to a transmission operation of the image data in another image display apparatus. The present invention is applicable to, for example, a display apparatus such as a television receiver.

In one embodiment, an apparatus is disclosed that includes one or more device interfaces, a processor coupled to the one or more device interfaces and configured to execute a process, and a memory configured to store the process executable by the processor. The process when executed is operable to receive condition data regarding a measured condition of a zone of a data center. The process when executed is also operable to determine a visual effect for a portion of a light strip based on the condition data. The portion of the light strip is associated with the zone and is located in the zone. The process when executed is further operable to control the portion of the light strip to display the determined visual effect.

A system includes a production server, a backup server, a telemetry analyzer, a memory, and a hardware processor. The telemetry analyzer takes snapshots of various performance metrics of the production server. The memory stores a log of previous disasters that occurred on the production server. The log includes a snapshot of the production server performance metrics from the time each disaster occurred. The memory also stores recovery scripts for each logged disaster. Each script provides instructions for resolving the linked disaster. The hardware processor uses a machine learning architecture to train an autoencoder. The trained autoencoder receives new snapshots from the telemetry analyzer and generates a reconstruction of the new snapshots. The hardware processor then determines a threshold for distinguishing between server disasters and minor anomalies. This distinction is made by comparing the difference between the reconstruction of the new snapshots and the new snapshots with the threshold.

Aspects of the present disclosure relate to techniques for mitigating inadvertent user information collection in telemetry data. In examples, user information is used to evaluate telemetry data associated prior to transmission to a server device. If an instance of user information is identified within the telemetry data, a warning indication is generated. The warning indication may be transmitted to the server device either instead of or in combination with the telemetry data. As a result of the warning indication, the software may be modified to resolve the issue that caused the introduction of the user information into the telemetry data, thereby avoiding future instances of inadvertent data collection. In response to the warning indication, the server may be configured to reject similar telemetry data from other devices, thereby avoiding collecting such data from the other devices. The server device may also use the warning indication to remove or otherwise censor previously collected user information from stored telemetry data.

A computer-implemented method according to one embodiment includes causing a failure event in each of a plurality of microservices of a system and collecting failure effect data associated with the caused failure events. A mapping is created detailing transition of the microservices between different states and the collected failure effect data is analyzed for creating the mapping. The method further includes outputting a predetermined notification in response to a determination that a first of the microservices is close to experiencing a predicted failure event, and outputting a suggested solution for repairing the system in response to a determination that the system has failed, using the mapping to identify a root cause of the system failure. Using the mapping to identify the root cause of the system failure includes identifying the microservices that caused the system failure.

An error notification system includes a plurality of data production systems in communication with a monitoring server. Each data production system has a data processor configured to receive input data from a first set of data production systems, process the input data to produce output data, and make the output data accessible to a second set of data production systems. The monitoring server is configured to monitor data transmissions between the data production systems and to identify, for each data transmission, originating and receiving systems. The monitoring server is further configured to map data flow from each originating source system to identify all downstream data production systems. Upon identification of a data error in the originating source system, the monitoring server obtains data error information, assembles a data error notification, and transmits the data error notification to data production systems meeting system notification criteria.

A management system is described. The management system includes an interface coupled to a plurality of infrastructure appliances and one or more processors to monitor each of the plurality of infrastructure appliances, detect a malfunction at a first of the infrastructure appliances, and transmit a display message to one or more of the plurality of infrastructure appliances that are adjacent to the first infrastructure appliance, wherein a display message indicates one or more activity light indicators to be activated at an adjacent infrastructure appliance.

The disclosure provides an electronic device. The electronic device includes a computer system, a light emitting module, and a control unit. The computer system is adapted to execute a boot procedure, the boot procedure lasting for a first time period. A light emitting module includes a plurality of indicator lights, each indicator light providing an indication function. The control unit is electrically connected to the light emitting module. The control unit controls the indicator lights to generate a first light emitting effect within a second time period when the computer system enters the boot procedure. The second time period is shorter than the first time period.

A method for assigning test case priority includes analyzing, based on a set of test vectors, one or more test cases from a set of test cases on source code to determine a particular combination of attribute values associated with the one or more analyzed test cases. The method further includes generating a priority value for each attribute in the determined particular combination of attribute values. A priority value for each of the analyzed one or more test cases is generated based on the generated priority values of the particular combination of attribute values associated with the analyzed one or more test cases.