Noisy-neighbor detection and remediation is provided by performing real-time monitoring of workload processing and associated resource consumption of application components that use shared resource(s) of a computing environment, determining workload and shared resource consumption patterns for each of the application components, for each application, of a plurality of applications, that includes at least one application component of the application components, correlating the determined workload and shared resource consumption patterns of each of those application component(s) and determining a correlated shared resource usage pattern for that application, performing impact analysis to determine impact of the applications on each other, and identifying noisy-neighbor(s) that use the one or more shared resources and automatically raising an alert indicating those noisy-neighbor(s).

One embodiment includes data communication apparatus including a storage sub-system to be connected to storage devices, and processing circuitry to manage transfer of content with the storage devices over the storage sub-system responsively to content transfer requests, while pacing commencement of serving of respective ones of the content transfer requests responsively to availability of spare data capacity of the storage sub-system, find a malfunctioning storage device currently assigned a given data capacity of the storage sub-system and currently assigned to serve at least one content transfer request, and reallocate the given data capacity of the storage sub-system currently assigned to the malfunctioning storage device for use by at least another one of the storage devices while the at least one content transfer request assigned to be served by the malfunctioning storage device is still awaiting completion by the malfunctioning storage device.

Methods, systems, and devices for a dynamic error control configuration for memory systems are described. The memory system may receive a read command and retrieve a set of data from a location of the memory system based on the read command. The memory system may perform a first type of error control operation on the set of data to determine whether the set of data includes one or more errors. If the set of data includes the one or more errors, the memory system may retrieve a second set of data from the location of the memory system and determine whether a syndrome weight satisfies a threshold. The memory system may perform a second type of error control operation on the second set of data based on determining that the syndrome weight satisfies the threshold.

A method may include receiving, via a first computing node, a first pod from a second computing node. The method may also include retrieving a first image file that may include a first set of containers from a registry based on the first pod. The first set of containers may cause a control system to halt operations. The method may then involve generating a first package based on the first set of containers and storing the first package in a filesystem, receiving a second pod from the second computing node, and retrieving a second image file having a second set of containers from the registry. The second pod may include the second set of containers may cause the control system to update software components. The method may also involve generating a second package based on the second set of containers and storing the second package in the filesystem.

In some examples, a system receives first measurements of data items used by a build server in building an executable program, the data items copied from a data repository to a storage partition that is separate from the data repository, and the storage partition to store the data items relating to building the executable program by the build server. The system determines, based on the first measurements and according to a policy specified for the storage partition, whether a corruption of the data items used by the build server in building the executable program has occurred.

Configurations for data center component monitoring are disclosed. In at least one embodiment, movement of a server component is determined based on sensor data and the movement is used to diagnose a root cause for a server component failure.

Methods, systems, and devices for techniques for managing temporarily retired blocks of a memory system are described. In some examples, aspects of a memory system or memory device may be configured to determine an error for a block of memory cells. For example, a controller may determine an existence of the error and may temporarily retire the block. A media management operation may be performed on the temporarily retired block and, depending on one or more characteristics of the error, the temporarily retired block may be enabled or retired.

Methods, systems, and devices for techniques for retiring blocks of a memory system are described. In some examples, aspects of a memory system or memory device may be configured to determine an error for a block of memory cells. Upon determining the occurrence of the error, the memory system may identify one or more operating conditions associated with the block. For example, the memory system may determine a temperature of the block, a cycle count of the block, a quantity of times the block has experienced an error, a bit error rate of the block, and/or a quantity of available blocks in the associated system. Depending on whether a criteria associated with a respective operating condition is satisfied, the block may be enabled or retired.

A method for facilitating data synchronization across a plurality of platforms is provided. The method includes retrieving a change event, the change event corresponding to an event stream from a first platform; parsing the change event to identify a record and a data operation; examining a synchronization database to determine whether a corresponding record is persisted in a database of a second platform; inserting the record into the synchronization database when the corresponding record is not persisted in the platform, the inserted record including a change indicator; and updating, by using the synchronization database, the database of the second platform to include the record.

Aspects of the disclosure relate to automated error processing. A computing platform may receive historical error/solution information. The computing platform may train, using the historical error/solution information, an artificial intelligence engine to automatically identify solutions for current errors for a plurality of users. The computing platform may identify current errors for a user of the plurality of users. The computing platform may notify the user of the current errors. The computing platform may receive a request to correct an error of the one or more current errors. The computing platform may identify, using the artificial intelligence engine, a solution to the error. The computing platform may automatically perform actions to achieve the solution. The computing platform may send, after performing the actions, commands directing an event processing system to process an event with which the error was associated, which may cause the event processing system to process the event.