A set command is issued to transfer a diagnostic parameter record to a communication component of the computing environment. The diagnostic parameter record specifies a diagnostic action to be taken by the communication component to obtain diagnostic information and specifies a version of the diagnostic information to be obtained. Based, in part, on issuing the set command, the diagnostic information is obtained. The version of the diagnostic information obtained is the version specified, based on the version specified being supported by the communication component.

A command is transmitted to a storage device to relocate first data that partially fills a first erase block of the storage device and second data that partially fills a second erase block of the storage device to a third erase block of the storage device, wherein the command causes the relocation of the first data and the second data while bypassing sending the data to the storage controller. An acknowledgement that the first data and the second data have been stored at the third erase block is received from the storage device.

Systems and techniques for tracking and providing real-time visualizations of maintenance time for datacenter components. The systems include sensors to detect when datacenter components are opened for maintenance, such as hot switching of hard drive disks, to initialize a countdown timer. Status indicator lights of components within the datacenter component are used to display visual representations of the countdown timer. The visualizations present a remaining or elapsed maintenance time remaining to ensure components of the datacenter component are not damaged by overheating during maintenance.

A method is disclosed. The method comprises analyzing, using a processing apparatus, event log entries of a plurality of devices, the plurality of devices forming part of a group of devices sharing a common attribute, wherein event log entries of a device relate to events that have taken place during a first period of interest in respect of that device. The method also comprises determining, using the processing apparatus, for a given device in the group of devices, based on the analysis of event log entries, a predicted entry that is expected to appear in the event log of the given device during the first period of interest. An apparatus and a machine-readable medium are also disclosed.

An information processing system, method, and apparatus reduces maintenance costs and management work and expedites countermeasures. A guide for a new event is selected based on information transmitted from the monitoring target node at which the new event has occurred; whether a countermeasure designated by the guide selected for the new event can be executed or not is judged; under this circumstance, past events having similarity to the new event which has occurred at the monitoring target node are identified; and if countermeasures against a specified last number of the past events among the identified past events have been successful and a countermeasure against the past event which is the latest and is more similar to the new event among the past events identified as the new event has been successful, it is judged that the countermeasure designated by the guide selected by the guide selection unit should be executed.

A method for managing applications includes obtaining, by a client in a customer environment, an upgrade issue report for the application, making a first determination that a resynchronization of a client self-healing classification model with the production host environment (PHE) self-healing classification model is required, wherein the PHE self-healing classification model is stored in the PHE, performing the resynchronization with the PHE self-healing classification model to obtain a synchronized client self-healing classification model, applying the synchronized client self-healing classification model to the upgrade issue report to obtain a state of the upgrade issue report, making a second determination that the state indicates a self-healable state, based on the second determination, performing a self-healing process on the application based on the upgrade issue report, and storing a resolution report based on results of the self-healing process, wherein the PHE is operatively connected to the customer environment.

A method for receiving an app-use contextual data set, applies artificial intelligence style machine logic to the app-use contextual data in order to generate a recommendation that the app should be subject to a recommended revision, in response to the generation of the recommended revision, makes the recommended revision in a dynamic manner, stores the app-use contextual data set in the form of a plurality of blockchain data structures, and operates around contextual reset/roll-back/restore scenarios in a hybrid cloud environment.

A method comprises collecting operational data for one or more devices and identifying one or more anomalies associated with the one or more devices based at least in part on the collected operational data. At least a portion of the collected operational data corresponding to the identified one or more anomalies is analyzed, and a probability of automatic resolution for respective ones of the identified one or more anomalies is determined based at least in part on the analysis. The identifying, the analyzing and the determining are performed using one or more machine learning models.

A method and system for verifying state monitor reliability in hyper-converged infrastructure (HCI) appliances. Specifically, the method and system disclosed herein entail using a supervised machine learning model—i.e., a classification decision tree—to accurately distinguish whether conflicting event notifications, logged across multiple state monitors tracking state on an HCI appliance, are directed to a real event or a non-real event. The classification decision tree, generated based at least on information gains calculated for the multiple state monitors, may reflect which state monitor(s) is/are more reliable in accurately classifying the conflicting event notifications.

A method for use in determining a status of a mobile electronic device, comprises repeatedly reading information from a debug log stored in a ringbuffer of the mobile electronic device, repeatedly using the information read from the debug log to construct and maintain an event history for the mobile electronic device, and repeatedly determining the status of the mobile electronic device based on the event history. The method may be used for determining a status of a mobile electronic device and, in particular though not exclusively, for use in determining a status of one or more hardware elements of a mobile phone, a smartphone, a tablet and/or a laptop. A system and a computer program for use in determining a status of a mobile electronic device are also disclosed.