An apparatus comprises a storage system comprising at least one processing device and a plurality of storage devices. The at least one processing device is configured to obtain a given input-output operation from a host device and to determine that the given input-output operation comprises an indicator having a particular value. The particular value indicates that the given input-output operation is a repeat of a prior input-output operation. The at least one processing device is further configured to rebuild at least one resource of the storage system that is designated for servicing the given input-output operation based at least in part on the determination that the given input-output operation comprises the indicator having the particular value.

Embodiments may generally be directed to systems and techniques to detect failure events in data pipelines, determine one or more remedial actions to perform, and perform the one or more remedial actions.

Disclosed herein are techniques and tools for verifying data for semantic correctness and/or verifying data for network correctness. In one respect, a method includes receiving input defining a validation point, the validation point comprising at least two or more validation functions applicable to (i) raw data and (ii) other data stored within a semantic network comprising nodes and links, importing source data; applying one or more transformations to the source data, populating the source data into one or more of the nodes and links comprising the semantic network, executing the validation point with respect the source data, based on the executing, determining one or more rules associated with the validation point are not satisfied, and based on the determining, revising either the source data or the other data stored withing the semantic network.

An information handling system includes a virtual network access module configured to access a virtual network drive that has a first partition in a local storage resource and a second partition in a remote storage resource. In response to detection of an exception, a processor may trigger an exception handler that directs a service processor to initialize a network stack. The processor initializes a mailbox to transmit a mailbox request to retrieve network configuration settings to be used in the initialization of the network stack. The service processor transmits a request to the processor to initialize the mailbox, and initializes the network stack based on the network configuration settings. Subsequent to the initialization of the network stack, a universal network device interface request may be sent to mount and secure communication with the virtual network drive.

A method for proactively rebuilding user data in a plurality of storage nodes of a storage cluster is provided. The method includes distributing user data and metadata throughout the plurality of storage nodes such that the plurality of storage nodes can read the user data, using erasure coding, despite loss of two of the storage nodes. The method includes determining that one of the storage nodes is unreachable and determining to rebuild the user data for the one of the storage nodes that is unreachable. The method includes reading the user data across a remainder of the plurality of storage nodes, using the erasure coding and writing the user data across the remainder of the plurality of storage nodes, using the erasure coding. A plurality of storage nodes within a single chassis that can proactively rebuild the user data stored within the storage nodes is also provided.

An illustrative method includes a controller associated with a plurality of clusters generating a disaster recovery profile of a containerized application deployed on a first cluster in the plurality of clusters, determining a cluster profile of each second cluster among one or more second clusters that are distinct from the first cluster in the plurality of clusters, identifying, from the one or more second clusters, a particular cluster based on the disaster recovery profile of the containerized application and the cluster profile of each second cluster, and assigning the particular cluster to be a disaster recovery cluster for the containerized application.

Techniques for parallel data collection and recovery for a failing virtual processing system are disclosed. According to aspects of the present disclosure, an example method includes: detecting that the virtual processing system experiences an irreparable error; saving, by each of a plurality of processors of the physical processing system, a corresponding context and data stored in an allocated portion of a memory of the physical processing system to a data store; selecting one of the plurality of processors as a recovery processor; initializing, by the recovery processor, a pre-determined reserved portion of the memory; initiating, by the recovery processor, a new instance of the virtual processing system on the reserved portion of the memory while each remaining processor of the plurality of processors continues the saving; and dynamically adding each remaining processor of the plurality of processors to the new instance of the virtual processing system.

Methods and systems for recovering a host image of a client machine to a recovery machine comprise comparing a profile of a client machine of a first type to be recovered to a profile of a recovery machine of a second type different from the first type, to which the client machine is to be recovered, by a first processing device. The first and second profiles each comprise at least one property of the first type of client machine and the second type of recovery machine, respectively. At least one property of a host image of the client machine is conformed to at least one corresponding property of the recovery machine. The conformed host image is provided to the recovery machine, via a network. The recovery machine is configured with at least one conformed property of the host image by a second processing device of the recovery machine.

Techniques are disclosed relating to automated operations management. In various embodiments, a computer system accesses operational information that defines commands for an operational scenario and accesses blueprints that describe operational entities in a target computer environment related to the operational scenario. The computer system implements the operational scenario for the target computer environment. The implementing may include executing a hierarchy of controller modules that include an orchestrator controller module at a top level of the hierarchy that is executable to carry out the commands by issuing instructions to controller modules at a next level. The controller modules may be executable to manage the operational entities according to the blueprints to complete the operational scenario. In various embodiments, the computer system includes additional features such as an application programming interface (API), a remote routing engine, a workflow engine, a reasoning engine, a security engine, and a testing engine.

Techniques involve: writing, when a first disk for dirty page storage has a failure, a first target page description generated by a first node and associated with a first set of target dirty pages of the first node and a second set of target dirty pages of a second node to a first page description storage layer for the first node in a second disk; writing a second target page description generated by the second node and associated with the first set of target dirty pages and the second set of target dirty pages to a second page description storage layer for the second node in the second disk; and restoring, when the failure has been eliminated, the first set of target dirty pages and the second set of target dirty pages in the first disk based on at least one of the descriptions.