Abstract: A device obtains a plurality of server logs from a plurality of servers, where each server log includes a plurality of log entries, and generates, based on the plurality of log entries, a plurality of data structures, where each data structure includes one or more log entries that concern a server request. The device identifies a set of data structures associated with one or more server errors and processes the set of data structures using an artificial intelligence technique to determine a respective classification score of each data structure. The device determines, based on the respective classification score of each data structure, a respective server error type of each data structure, and causes display of information concerning at least one server error type associated with the set of data structures.

Abstract: Disclosed are hardware and techniques for testing computer processes in a network system by simulating computer process faults and identifying risk associated with correcting the simulated fault and identifying computer processes that may depend on the corrected computer process. The interdependent computer processes in a network may be determined by evaluating a risk matrix having a risk score and non-functional requirement score. An analysis of the risk score and non-functional requirement score accounts for interdependencies between computer processes and identified corrective actions that may be used to determine an optimal network environment. The optimal network environment may be updated dynamically based on changing computer process interdependencies and the determined risk and robustness scores.

Abstract: A system and method for the distributed analysis of high frequency transaction trace data to constantly categorize incoming transaction data, identify relevant transaction categories, create per-category statistical reference and current data and perform statistical tests to identify transaction categories showing overall statistically relevant performance anomalies. The relevant transaction category detection considers both the relative transaction frequency of categories compared to the overall transaction frequency and the temporal stability of a transaction category over an observation duration. The statistical data generated for the anomaly tests contains next to data describing the overall performance of transactions of a category also data describing the transaction execution context, like the number of concurrently executed transactions or transaction load during an observation period.

Abstract: A storage controller has an operating system (OS) and power control firmware configured to manage use of battery power during a power outage event. The OS specifies to the power control firmware first and second sets of physical components that should be shed by power control firmware during a two-phase vault process. Upon a power failure, the power control firmware turns off power to the first set of physical components and notifies the OS of the power failure. The OS determines whether to abort or continue the vault process. If the OS aborts the vault process, the power control firmware restores power to the first set of physical components. If the OS continues the vault process, the power control firmware turns off power to the second set of physical components, the OS saves application state, and moves all data from volatile memory to persistent memory.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed that analyze performance of manufacturer independent devices. An example apparatus includes a software development kit (SDK) deployment engine to deploy an SDK to a manufacturer of a device, the SDK to define heartbeat data to be collected from the device and interfacing techniques to transmit the heartbeat data to a measurement entity. In some examples, the apparatus includes a machine learning engine to predict whether the device is associated with one or more failure modes. The example apparatus also includes an alert generator to generate an alert based on a prediction, the alert to indicate at least one of a type of a first one of the failure modes or at least one component of the device to be remedied according to the first one of the one or more failure modes, and transmit the alert to a management agent.

Abstract: The present embodiments relate to data center outage detection and alert generation. An outage detection service as described herein can process near real-time data from various sources in a datacenter and process the data using a model to determine one or more projected sources of a detected outage. The model as described herein can include one or more machine learning models incorporating a series of rules to process near-real time data and offline data and determine one or more projected sources of an outage. An alert message can be generated to provide the projected sources of the outage and other data relevant to the outage.

Abstract: A method may include receiving telemetry data from an information handling system communicatively coupled to the information handling system and store the telemetry data based on uniquely identifying information of the information handling system, generating a firmware recovery image for the information handling system based on the telemetry data, storing the recovery image in a recovery image database indexed by the uniquely identifying information, responsive to a condition for initiating firmware recovery of the information handling system, retrieving the firmware recovery image for the information handling system from the recovery image database, and communicating the firmware recovery image to a companion device associated with the information handling system, such that preboot firmware of the information handling system may load and execute the firmware recovery image from the companion device to restore the information handling system.

Abstract: A write hole protection method and system for a RAID, and a storage medium. The method comprises: presetting a log area, and after a RAID is degraded, setting the log area to be in an enabled state; when the log area is in the enabled state, determining, before each stripe write operation, whether a data block of a failed member disk of the RAID in a stripe is a check data block; if the data block is not the check data block, determining whether data blocks to be written of the stripe comprise a data block to be written into the failed member disk; if yes, backing up the data block to be written into the failed member disk in the log area; if not, calculating the data block of the failed member disk and backing up the data block in the log area, or backing up the data blocks to be written in the log area; and when the degraded RAID is started after a failure, performing data recovery using the log area. By using the present solution, the write hole issue of the RAID is avoided.

Abstract: An end-to-end automated testing platform that allows for standardized, enterprise-wide process, compliance and operational exposure testing. The testing platform is self-service, in that, users can manage the process by which (i) data sources are identified and data connections established, (ii) data is mapped from the data sources to meet test requirements, (iii) schedules for executing the test are established, and (iv) rules sets are established as the baseline for testing criteria. In addition, the platform provides for definition of the business rule logic to be used to perform the testing, application of the rule logic against appropriate business data to determine testing results and the dissemination of those results. Additionally, the platform provides for automated generation of test code, execution of the test code and compilation and dissemination of test results.

Abstract: A system for automated and intelligent error correction within an electronic blockchain ledger is provided. The system may analyze unformatted/unstructured blockchain event logs using machine learning algorithms in order to identify and label the errors within the event logs. Based on the identified errors, the system may use predictive analysis in conjunction with error or rule repositories and/or machine learning to identify potential solutions to the identified errors. Once the potential solutions have been identified, the system may automatically attempt to rectify the blockchain transaction errors using the potential solutions. The system may further comprise trend/correlation analyses and reporting functions regarding various metrics and may output said metrics in various accessible formats.

Abstract: Cloud simulation or validation system allows for the simulation of a future node that may be deployed on a piece of hardware. The system may attempt to simulate the operating system for node-A on top of the hardware for node-A, including basic network connectivity. When a host is booted up with the simulated configuration, validation scripts may be run to verify that the site is correctly prepped for cloud deployment. With its pre-staged RAM-based OS temporarily loaded into the host's RAM memory, any set of OS-based scripts, tools or binaries, may be executed for simulation and validation based upon the intended role of the host onto which the cloud simulation or validation system configuration is loaded.

Abstract: A system includes: a processor; a register configured to store a plurality of words, non-volatile memory having a plurality of cells, each cell corresponding to one of the words of the register, and wherein the each cell of the plurality of cells are set to an initial reset value; a first controller that in response to a loss in power: determines the word stored by the register; and changes the initial reset value of the cell of the non-volatile memory corresponding to the determined word stored by the register to a set value; a second controller that in response to detecting a restoration in power: identifies the cell having the set value; writes the word corresponding to the identified cell to the register; and resets the cells of the non-volatile memory to the initial reset value.

Abstract: Backup operations may save a full backup and subsequent checkpoints. Systems and methods for handling backup and restore operations when checkpoints are deleted. Checkpoints can be merged during a restore operation to account for deleted checkpoints. Also, the backup can continue to leverage existing backups even though checkpoints have been deleted.

Abstract: Memory controllers, devices, modules, systems and associated methods are disclosed. In one embodiment, an integrated circuit (IC) memory component is disclosed that includes a memory core, a primary interface, and a secondary interface. The primary interface includes data input/output (I/O) circuitry and control/address (C/A) input circuitry, and accesses the memory core during a normal mode of operation. The secondary interface accesses the memory core during a fault mode of operation.

Abstract: According to embodiments of the present disclosure, there is provided a method, apparatus, device, storage medium and program product for log information processing. The method comprises: determining a source of a target log in response to a log query request, wherein the log query request indicates that a target user requests to query the target log; determining a log desensitization policy corresponding to the source of the target log, the log desensitization policy being determined based on log registration information associated with the source, the log registration information being used for indicating a physical meaning of a variable item in the target log; and performing, based on service attribute information of the target user, the log desensitization policy and service authority information, desensitization processing on the variable item related to the target user in the target log for providing the target user with a desensitized target log.

Abstract: A method for use by a primary device associated with a secondary device of a redundant pair, the primary device issuing a synchronization request to its control database causing the primary device to send a tracked memory file storage of the primary device to the secondary device to update the secondary device control database and to periodically send on request of the primary device the cached changes made in the primary device to the secondary device to update the secondary device control database. The secondary device using the updated control database to identify communications connections and paths to I/O modules and peer devices assigned to the secondary device and to perform diagnostic testing of the communications connections and paths identified by the interrogation and send diagnostic messages upon detection of faults in the communication connections and paths identified.

Abstract: An error recovery method and apparatus, and a system are disclosed. At least two CPUs in a lockstep mode can exit the lockstep mode when an error occurs in at least one CPU, and the CPU in which the error occurs and a type of the error are determined. When the error can be recovered, the CPU in which the error occurs can be recovered according to a correctly running CPU. This helps the at least two CPUs run again at a position at which a service program is interrupted.

Abstract: Systems and methods are described for providing rapid access to data objects stored in a cache. Rather than storing data objects directly, each object can be broken into a number of parts via erasure coding, which enables the object to be generated from less than all parts. When servicing a request for the data object, a device can attempt to retrieve all parts, but begin to generate the data object as soon as a sufficient number of parts is retrieved, even if requests for other parts are outstanding. In this way, the data object can be retrieved without delay due to the slowest requests. For example, where one or more requests timeout, such as due to failure of cache devices, this timeout may have no effect on time required to retrieve the data object from the cache.

Abstract: Dynamic checkpointing can include determining, using a processor, a process criticality corresponding to a process configured to execute on computer hardware. The process criticality indicates a priority of the process relative to at least one other process configured to execute on the computer hardware. A checkpoint schedule can be generated, using the processor and based on the process criticality, for checkpointing the process when it executes on the computer hardware.

Abstract: A system and method for allowing an assignee to rapidly collect data about a bug/error that is associated with the execution of a software application on a computing device. The method includes including receiving, from a client device, a request to resolve an error associated with an execution of an application on a remote server. The request includes configuration information for connecting to the remote server and an identifier to a component of the application. The method includes determining one or more files associated with the component of the application. The method includes establishing a connection to the remote server using the configuration information. The method includes retrieving the one or more files from the remote server via the connection. The method includes granting, to an assignee device, access to the one or more files that were retrieved from the remote server.