An intelligent method of selecting a data recovery site upon receiving a data recovery request. The backup system collects historical activity data of the storage system to identify work load of every data recovery site. A predicted activity load for each data recovery site is then generated using the collected data. When a request for data recovery is received, the system first identifies which data recovery site has copies of the files to be recovered. Then it uses the predicted work load for these data recovery sites to determine whether to use a geographically local site or a site that may be remote geographically, but has a lower work load.

In some examples, a system detects recovery, from an unavailable state, of a communication link between a first storage system that includes a first storage volume and a second storage system that includes a second storage volume that is to be a synchronized version of the first storage volume, where while the communication link is in the unavailable state the second storage volume is in an offline state and the first storage volume is in an online state. In response to detecting the recovery of the communication link, the system sends a first tracking metadata for the first storage volume from the first storage system to the second storage system, and in response to receipt of the first tracking metadata at the second storage system that maintains a second tracking metadata for the second storage volume, the system transitions the second storage volume from the offline state to a controlled online state, and initiates a synchronization process to synchronize the second storage volume with the first storage volume.

A computer-implemented method of providing unified event monitoring and log processing is disclosed. The method comprises receiving streaming event data comprising a plurality of event entries from a plurality of domains including a cloud manager for a cloud platform and an application running within a container on the cloud platform; processing the streaming event data into a normalized, domain-independent format; evaluating a plurality of policy rules on the streaming event data, wherein the plurality of policy rules is defined with a unified syntax; and in response to the evaluating satisfying a condition of a first rule of the plurality of policy rules, transmitting to a remote device data related to an action defined in the first rule, wherein the receiving, processing, evaluating, and transmitting for each event entry for the plurality of event entries are performed in real time.

Managing audio devices of an information handling system (IHS), including: performing initialization of audio-scenario database table, including: configuring, for audio scenarios at an IHS, an associated audio device, each audio device associated with an audio ID that uniquely identifies the audio device; generating the audio-scenario database table that indicates, for each audio scenario, an associated audio device ID of the audio device for the audio scenario; performing a steady-state monitoring of the IHS, including: identifying an initialization of a particular audio scenario, and in response, identifying active audio devices with respect to the IHS; comparing the audio ID of each of the active audio devices with the audio-scenario database table; matching, based on the comparing, a particular audio ID of a particular active audio device of the active audio devices with the audio-scenario database table; enabling, based on the matching, the particular active audio device for the particular audio scenario.

An information processing apparatus includes a processor configured to acquire first information that indicates a correspondence relationship between a virtual identifier of a memory device and a first identifier of a slot to which the memory device is attached, acquire second information that indicates a correspondence relationship between a second identifier of a slot to which the memory device is attached and a state of the memory device, generate correspondence information that indicates a correspondence relationship among the virtual identifier, the first identifier, and the second identifier based on the first information and the second information, acquire, during an operation of the distributed storage, third information that indicates correspondence relationship between the virtual identifier and the first identifier and fourth information that indicates correspondence relationship between the second identifier and the state of the memory device, and update the correspondence information based on the third information and the fourth information.

In a processing apparatus having semiconductor integrated circuits, a first status monitoring circuit included in a first semiconductor integrated circuit is configured to instruct a plurality of second semiconductor integrated circuits to transmit status information indicating statuses of the plurality of second semiconductor integrated circuits. When a second status monitoring circuit included in each of the plurality of second semiconductor integrated circuits receives the instruction for transmission of the corresponding status information, the second status monitoring circuit transmits encrypted information in which the status information is encrypted to the first semiconductor integrated circuit.

Provided is a client device configured to communicate with a server via a network, the client device comprising: one or more memories; and one or more processors that execute a set of instructions to: acquire counter information which is totaled according to performing a job by the client device and is stored in the one or more memories; determine whether the client device has been performed at least one job during acquiring the counter information; reacquire counter information in a case where it is determined that the client device has been performed at least one job during acquiring the counter information; and transmit the reacquired counter information to the server.

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.

Methods and system are presented for monitoring database processes to generate machine learning predictions. A plurality of database processes executed on database implementations can be monitored, wherein the monitoring includes determining a start time, an end time, and a number of rows impacted by portions of the database processes, and the monitored database processes generate instances of machine learning data including at least the number of rows impacted and an associated duration of time. Using a machine learning component and the machine learning data, a duration of time can be predicted for a candidate database process for execution on a database implementation.

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.