One mode of the analysis information management method according to the present invention is a method for managing information related to an analysis by an analyzing device, using a computer or computers, including the steps of: collecting, as comprehensive log information, work-log information related to a use of the analyzing device; calculating the number of executions of each of types of work including a manual analysis operation and a batch analysis operation, using at least a portion of the comprehensive log information collected in the step of collecting; presenting, to a user, information of the number of executions of each type of work obtained in the step of calculating; receiving, from the user, an input of one or more types of work selected from the types of work; and presenting, to the user, the work-log information concerning the one or more types of work received from the user.

The present disclosure is directed to systems and methods for dynamically alerting off-screen machine status information The system includes a user interface on at least one display. The user interface includes, for example, (i) a monitoring section configured to display information corresponding to a first group of the machines; and an off-screen indicator configured to indicate that additional information corresponding to a second group of machines is available. The off-screen indicator is configured to provide a dynamically-changing indicator of information related to the second group of machines. The dynamically-changing indicator can change upon receiving a different prioritized status event corresponding to one or more machines of the second group of machines.

Systems, apparatuses, and methods related to using memory device sensors are described. Some memory system or device types include sensors embedded in their circuitry. For instance, another device can be coupled to a memory device with an embedded sensor. The memory device can transmit a signal representing sensor data generated by the embedded sensor using a sensor output coupled to the other device. A controller coupled to a memory device may determine one or more threshold values of a sensor or sensors embedded in a memory device. The memory device may transmit an indication responsive to one or more sensors detecting a value greater or less than a threshold and may transmit the indication to another device.

A system to facilitate infrastructure management is described. The system includes one or more processors and a non-transitory machine-readable medium storing instructions that, when executed, cause the one or more processors to execute an infrastructure management controller to receive first monitoring data indicating a first infrastructure condition occurring at an on-premise infrastructure controller, determine a first load state of the on-premise infrastructure controller based on the first infrastructure condition and adjust a consistency level of the on-premise infrastructure controller to a first level of the consistency based on the first state.

A method for monitoring multiple servers in one or more server clusters includes collecting and recording sensor data (SDR data) and storing the SDR as a predetermined file format into a specified storage area. The SDR stored in the specified storage area is analyzed according to a predetermined analysis rule to determine whether the SDR comprises data indicating abnormal functioning on a moment-by-moment basis SDR. When the SDR indicates an abnormality, SDR warning information corresponding to the abnormality SDR is outputted. A server monitoring device utilizing the method and a non-transitory storage medium are also provided.

Recovery points can be used for replicating a virtual machine and reverting the virtual machine to a different state. A filter driver can monitor and capture input/output commands between a virtual machine and a virtual machine disk. The captured input/output commands can be used to create a recovery point. The recovery point can be associated with a bitmap that may be used to identify data blocks that have been modified between two versions of the virtual machine. Using this bitmap, a virtual machine may be reverted or restored to a different state by replacing modified data blocks and without replacing the entire virtual machine disk.

A first cloud vendor is registered by a backup application. A file is moved from backup storage of the backup application to the first cloud vendor. A reference is maintained at the backup storage to the first file residing at the first cloud vendor. A second cloud vendor is registered by the backup application. The backup application directs a migration of the file from the first cloud vendor to the second cloud vendor without recalling the file to the backup storage. A reference maintained at the backup storage is updated to refer to the file now residing at the second cloud vendor. The updated reference is maintained at the backup storage.

The present invention generally relates to systems and methods for detecting and/or isolating any causes of defective and/or partially defective IoT device or individual sensor device(s). In embodiments the present invention generally relates to fixing, replacing, and/or troubleshooting IoT devices and/or individual sensor device(s) that are defective and/or partially defective.

A computer of a resource monitoring system is configured to execute an application for analyzing an operation of an industrial device. A use status acquisition module is configured to acquire a use status of a resource of the computer by the application. A display control module is configured to display the use status on a resource monitoring screen.

Described are examples for monitoring performance metrics of one or more workloads in a cloud-computing environment and reallocating compute resources based on the monitoring. Reallocating compute resources can include migrating workloads among nodes or other resources in the cloud-computing environment, reallocating hardware accelerator resources, adjusting transmit power for virtual radio access network (vRAN) workloads, and/or the like.