Abstract: A system includes a computer system, memory, and processor. The computer system includes active units of system resources, each executing a workload unit, and redundant units of system resources. The memory stores a reinforcement learning algorithm configured to generate a sequence of resets. Executing each reset includes exchanging the active unit of system resources associated with the reset with a redundant unit of system resources assigned to the active unit of system resources. The processor measures performance metric values, and determines, based on the values, that a first probability that a failure will occur is greater than a threshold. In response, the processor generates and executes a sequence of resets. The processor measures new performance metric values, and determines, based on the new values, a second probability that the failure will occur. The processor then updates the reinforcement learning algorithm based on a difference between the first and second probabilities.

Abstract: A method for managing a client environment includes obtaining, by a remediation orchestrator, a remediation request associated with a failed application upgrade on an emulation of a client device; in response to the remediation request: obtaining a remediation policy associated with the application upgrade; obtaining application upgrade information associated with the application upgrade; identifying remediation steps to service the remediation request using the application upgrade information and the remediation policy; and initiating performance of the application upgrade and the remediation steps on the client device.

Abstract: A redundant processing fabric in an autonomous vehicle may include: processing, by a first processing unit of a plurality of processing units, sensor data from a first sensor of a plurality of sensors, where the plurality of processing units are coupled to the plurality of sensors via a switched fabric, wherein the plurality of processing units and plurality of sensors are included in the autonomous vehicle, wherein the sensor data corresponds to an environment external to the autonomous vehicle; determining a failure in processing the sensor data by the first processing unit; and severing, in the switched fabric, a first communications path between the first sensor and the first processing unit; and establishing, in the switched fabric, a second communications path between the first sensor and a redundant processing unit.

Abstract: Apparatuses, methods, systems, and program products are disclosed for analytics-based anomaly detection. An apparatus includes a processor and a memory that stores code executable by the processor. The code is executable by the processor to receive measurement data for a component of a device, determine a compression rate of the received measurement data by applying a compression algorithm to the measurement data, and generate an alert indicating a possible anomaly in an operation of the component represented by the measurement data in response to the determined compression rate satisfying a threshold compression rate for the at least one condition of the component.

Abstract: Edge device task management by receiving an indicator corresponding to a first container running a task on a first edge device of a cluster of edge devices, wherein the indicator indicates an error status of the first container, and wherein task data of the task is stored in a first local storage of the first edge device, selecting a second edge device from the cluster of edge devices, wherein a second container on the second edge device is to run the task, instructing the first and second edge devices to transfer the task data from the first local storage of the first edge device to a second local storage of the second edge device, and in response to receiving a notification that indicates the task data has been transferred from the first local storage to the second local storage, sending the task to the second container.

Abstract: An orchestration controller in a storage solution may establish namespaces, assign each namespace to a host, and establish software-defined storage controllers to handle input-output operations between the hosts and the namespaces. Each namespace is assigned to a given host and the input-output operations to and from the namespace are handled by a specific primary software-defined storage controller. In response to failure of the software defined controller, a secondary software-defined storage controller will take over handling of the input-output operations to and from the namespace. Also, in response to the failure of the software-defined storage controller, the host will direct subsequent input-output operations destined for the namespace to the secondary software-defined storage controller.

Abstract: Embodiments of the present disclosure relate to detecting and mitigating errors associated with software pull requests such as software deployment packages. The embodiments include identifying a failure of a pull request, identifying a system error associated with the failure, determining a failure mitigation process based on the failure and the system error, and executing the failure mitigation process to resolve the failure. The errors can be classified as system errors, user errors or planned downtime. The failure mitigation process can include generating an alert associated with the identified system error, updating a status of the pull request, re-evaluating the failure after a predetermined period of time, and retrying deployment of the pull request using an exponential retry process.

Abstract: Systems and methods are provided for processing of messages subject to dead letter queues in representational state transfer (“REST”) architectures to prevent data loss in cloud-based environments. For example, as opposed to conventional RESTful application programming interface (“API”) approaches to handling message failures, the systems and methods provide a new system component to handle these failures. Specifically, instead of relying on a conventional dead letter queue (e.g., requiring a system to read the queue via lambda functions), the systems and methods create a representative system file based on any REST call in which a failure is detected.

Abstract: A method and system for health rank based virtual machine restoration using a conformal framework. With respect to enterprise data protection, solutions need to address two primary responsibilities: at the onset of failure or disaster, restore any running applications, as well as any lost or damaged data; and minimize (if not eliminate) the future occurrence of such failures or disasters. In tackling the latter responsibility, the disclosed method and system leverage health-score assessments to ensure the restoration of virtual machines onto healthy infrastructure. The aforementioned health-score assessments employ clustering to identify, and a conformal framework to rank, healthy hosts onto which virtual machines may be restored.

Abstract: Techniques regarding adaptive data recovery schemes are provided. For example, one or more embodiments described herein can comprise a system, which can comprise a memory that can store computer executable components. The system can also comprise a processor, operably coupled to the memory, and that can execute the computer executable components stored in the memory. The computer executable components can comprise a data management component that can modify a data recovery scheme based on performance data exhibited by a network of data centers and a data recovery requirement. The data recovery scheme can direct a relocation of data within the network.

Abstract: In a method for data placement in a storage device including one or more blocks and a controller, the method including: receiving, by the controller of the storage device, a request to write data; determining, by the controller, a data status of the data; calculating, by the controller, one or more vulnerability factors of the one or more blocks; determining, by the controller, one or more block statuses of the one or more blocks based on the one or more vulnerability factors; selecting, by the controller, a target block from the one or more blocks based on the data status and the one or more block statuses; and writing, by the controller, the data to the target block.

Abstract: Provided herein are systems and methods for automating the rollout of database changes. For example, a method includes detecting a change in database code of a database resulting in a changed database code. The change in the database code includes a parameter rollout for at least one parameter setting of the database. Execution of a query associated with the change in the database code is monitored. The query uses the at least one parameter setting. A regression in the changed database code is detected based on the monitoring. Impact analysis is performed to determine a scope of impact of the regression on at least another query using the at least one parameter setting. A determination is made on whether to perform a rollback of the change in the database code or perform mitigation based on the scope of impact.

Abstract: A cluster system has nodes connected by a first network, including a master node, a first node performing an IO request with respect to a first volume of a storage device capable of including a plurality of volumes through a second network, and a second node taking over processing of the first node at the time of a failure of the first node. When a failure of the first network occurs in the first node, the master node transmits a connection release instruction through the second network. When the connection release instruction is received, the storage device releases the connection between the first node and the first volume, and updates connection state management information for managing such a connection state. The first node acquires the connection state to be managed through the second network, and executes post-processing relevant to the first volume that is associated with the connection release instruction.

Abstract: Aspects of the invention include receiving system data associated with a first system, the first system comprising a plurality of system components, wherein the system data comprises component data for each system component in the plurality of system components, obtaining historical performance data for each system component in the plurality of system components, determining at least one testing constraint associated with the first system, determining a test environment for the first system, the test environment comprising a plurality of test cases for the first system based on the system data, the historical performance data, and the at least one testing constraint, and executing the test environment on the first system.

Abstract: An information handling system may detect an exception, create a hand-off block in an NVMe boot partition in an NVMe device during a pre-extensible firmware interface phase of a boot process, and update the hand-off block with information associated with the exception. The system may also load an exception table to the NVMe boot partition, wherein the exception table includes an index associated with the exception that is mapped to a vector associated with an exception handler, and load the exception handler to the NVMe boot partition, wherein the exception handler resolves the exception.

Abstract: A replacement management apparatus includes a detection unit configured to detect, for both a communication apparatus to be replaced and a communication apparatus for replacement, communication speeds of physical ports used for connection, in units of communication apparatuses that are connection destinations, and a replacement determination unit configured to derive, for both the communication apparatus to be replaced and the communication apparatus for replacement, a communication capacity that is a sum of the communication speeds for each of the communication apparatuses that are connection destinations, and determine, for all of the communication apparatuses that are connection destinations, in a case in which the communication capacity of the communication apparatus for replacement is equal to or greater than the communication capacity of the communication apparatus to be replaced, that the communication apparatus to be replaced is replaceable with the communication apparatus for replacement.

Abstract: A method for failure event notification in an event recordation and distribution system. The method including monitoring each stage of processing of an event by an event publisher manager, detecting a failure of the event to publish in the event recordation and distribution system, and publishing an error event notification to a status stream in response to detecting the failure.

Abstract: Systems and methods described herein include receiving, from a first network function, a request to receive a notification when a second network function becomes available after a failure. A status update may be received from the second network function indicating that the second network function is available. It may be determined that the second network function is in a stable state. A notification may be sent, to the first network function, that the second network function is available along with an indication of a time period in which to switch from accessing a third network function to accessing the second network function.

Abstract: An Information Handling System (IHS) includes multiple hardware devices, and a baseboard Management Controller (BMC) in communication with the plurality of hardware devices. The BMC includes a first processor for executing a custom BMC firmware stack, and transmitting a watchdog message at an ongoing basis. The BMC also includes a second processor for receiving the watchdog message. When the watchdog message is received within a specified elapsed period of time, allow continued operation of the custom BMC firmware stack, and when not received within the specified elapsed period of time, place the BMC in a failsafe mode of operation.

Abstract: A method may include receiving a communication from a user device, determining whether to forward the communication to a first computer system or a second computer system and forwarding the communication to the first computer system based on the determining. The method may also include generating, by the first computer system, a first response to the communication, determining whether an error occurred when processing the communication at the first computer system and forwarding the communication to the second computer system, in response to determining that an error occurred. The method may further include generating, by the second computer system, a second response to the communication and comparing the first response from the first computer system to the second response from the second computer system.