Abstract: Presented herein are methods, non-transitory computer readable media, and devices for provisioning an application within a network storage system, which include: providing an application template; requesting input into the application template to construct the application in the network storage system and receiving the requested input; validating the input using standard templates for known applications stored within the network storage system; determining storage specifications within the network storage system based on the validated input; and creating storage and protocol objects associated with the application that identifies the storage specifications.

Abstract: Methods and systems for a networked computing system are provided. One method includes deploying a micro-service associated with data stored by a networked storage system at a storage device, the micro-service deployed as a virtual machine of a cloud-based system having a data store, and an application programming interface (API) for providing analytic information associated with the data and resources of the networked storage system, where the cloud based system is accessible to a client system via a first network connection; processing performance data associated with the micro-service by a first computing system; storing the processed performance data for the micro-service at a storage volume accessible via a second network connection; copying the processed performance data at the data store by a data loader; and providing access to the processed performance data to the client system from the data store via the API and the first network connection.

Abstract: An embodiment of the invention provides a method to extract selected information from an image file selectively without requiring the user to restore, on the destination storage server, the image file which has the data for a file system. The selected information can be, for example, contents of a file, contents of a directory, other information from the image file. The selected information can be selectively extracted by reading the blocks of the file from the WAFL data structures that has been stored in the image file. An index file is generated and this index file tracks the location of VBNs (virtual block numbers) in an image file so that the user can easily obtain the selected information from disk blocks that are identified by these VBNs.

Abstract: A computer program product having a computer readable medium tangibly recording computer program logic for providing data access in a storage system, the computer program product including code to analyze a plurality of data access requests directed to a source volume of the storage system, code to generate a mirror volume of the source volume, the mirror volume including a subset of data items of the source volume, in which the first subset of data items is selected for the minor volume based at least in part on data access patterns revealed by analyzing the data access requests, and code to access the mirror volume in parallel with accessing the source volume to fulfill read requests from a plurality of hosts.

Abstract: Disclosed are systems, computer-readable mediums, and methods for managing input-output operations within a system including at least one client and a storage system. A processor receives information regarding allocated input-output operations (IOPS) associated with a client accessing a storage system storing client data. The information includes a number of allocated total IOPS, a number of allocated read IOPS, and a number of allocated write IOPS. The processor also receives a requested number of write IOPS associated with the at least one client's request to write to the storage system. The processor determines a target write IOPS based on the number of allocated total IOPS, the number of allocated write IOPS and the requested number of write IOPS, and executes the determined target write IOPS within the first time period.

Abstract: A storage appliance can be designed to facilitate efficient restore of multiple backed up files in a system that allows files to share data blocks. A data management application or storage OS names data blocks and communicates those names to the storage appliance when backing up to or through the storage appliance. The storage appliance can leverage the data block names when restoring a group of files by restoring at data block granularity instead of file granularity. Restoring at the granularity of the data blocks by their names allows the storage appliance to avoid repeatedly sending a same data block to the restore requestor (e.g., a storage OS or data management application) while still instructing the restore requestor how to reconstruct the corresponding file(s) with mappings between valid data ranges and the named data blocks.

Abstract: Computing technology using artificial intelligence/machine learning methods and systems for a storage system is provided. One method includes measuring by a processor, a first metric indicating health of a first storage system in storing and retrieving data; quantifying by the processor, the first metric based on comparison of the first metric with a same metric for a plurality of storage systems; identifying by the processor, a plurality of features potentially impacting the first metric, based on a predictive, machine-learning algorithm built on performance and configuration data for the plurality of storage systems; selecting, a first feature by the processor, based on impact of the first feature on the first metric; and generating a command by the processor for making a change to the first feature.

Abstract: It is detected that a metric associated with a first workload has breached a first threshold. It is determined that the first workload and a second workload access the same storage resources, wherein the storage resources are associated with a storage server. It is determined that the metric is impacted by the first workload and the second workload accessing the same storage resources. A candidate solution is identifier. An estimated impact of a residual workload is determined based, at least in part, on the candidate solution. A level of caching of at least one of the first workload or the second workload is adjusted based, at least in part, on the estimated impact of the residual workload.

Abstract: Techniques are disclosed herein for migrating virtual machines. In an embodiment, path configuration information for the source virtual machine is stored within storage allocated to a source virtual machine that is managed by a first hypervisor. A source virtual disk is allocated to the source virtual machine. The source virtual disk includes storage blocks that are accessible by a guest operating system of the source virtual machine. The source virtual disk further includes at least one source management block containing data utilized by the first hypervisor to manage the storage blocks. The guest operating system of the source virtual machine is migrated to a destination virtual machine managed by a second hypervisor. A destination virtual disk is generated that includes the storage blocks that are accessible by the migrated guest operating system.

Abstract: Disclosed are systems, computer-readable mediums, and methods for receiving a start replication message to replicate a source volume to a replicated volume. A source system forwards I/O requests to the replica server. A data structure associated with the replicated volume is initialized. A write request is received from the source system. The write data is written to the replicated volume and the data structure is updated. Source metadata associated with the source volume is received. The source metadata is compared with prior metadata associated with a prior point-in-time image of the source volume to determine blocks of data that have changed since the prior point-in-time image of the source volume. A first block is determined to not be retrieved based upon the data structure. A second block is determined to be retrieved based upon the data structure. The second block is received and written to the replicated volume.

Abstract: A system and method for enabling data replication is described. A set of protocol messages can be associated with a set of corresponding set of requests. The associated set of protocol messages can be provided to each of a source storage system and a destination storage system. The source storage system and the destination storage system can be heterogeneous storage systems that implement different types of file systems or file layouts. The source storage system and the destination storage system are enabled to perform a data replication process, in which at least a set of data is to be replicated from the source storage system to the destination storage system, using at least a protocol message from the associated set of protocol messages. The protocol message can correspond to a request for a list of snapshots stored at the source storage system.

Abstract: The disclosed techniques enable push-based piggybacking of a source-driven logical replication system. Logical replication of a data set (e.g., a snapshot) from a source node to a destination node can be achieved from a source-driven system while preserving the effects of storage efficiency operations (deduplication) applied at the source node. However, if missing data extents are detected at the destination, the destination has an extent pulling problem as the destination may not have knowledge of the physical layout on the source-side and/or mechanisms for requesting extents. The techniques overcome the extent pulling problem in a source-driven replication system by introducing specific protocols for obtaining missing extents within an existing replication environment by piggybacking data pushes from the source.

Abstract: Techniques are provided for storage tier verification checks. A determination is made that a mount operation of an aggregate of a set of volumes stored within a multi-tier storage environment has completed. A first metafile and a second metafile are maintained to track information related to the storage of objects of a volume of the aggregate within a remote object store that is a tier of the multi-tier storage environment. A distributed verification is performed between the first metafile and the second metafile to identify an inconsistency. Accordingly, the first metafile and the second metafile are reconciled to address the inconsistency so that storage information within the first metafile and the second metafile are consistent.

Abstract: One or more techniques and/or systems are provided for migrating a trust relationship. For example, a first storage cluster and a second storage cluster have a disaster recovery relationship where the second storage cluster provides failover client access to replicated data, replicated from the first storage cluster to the second storage cluster, in the event the first storage cluster fails. The first storage cluster may have a trust relationship with a third storage cluster, such that data is mirrored from a volume of the first storage cluster into a mirrored volume of the third storage cluster based upon the trust relationship. In the event the first storage cluster fails over to the second storage cluster due to a disaster at the first storage cluster, the trust relationship is migrated to be between the second storage cluster and the third storage cluster for non-disruptive mirroring of data to the mirrored volume.

Abstract: A deduplication service can be provided to a storage domain from a services framework that expands and contracts to both meet service demand and to conform to resource management of a compute domain. The deduplication service maintains a fingerprint database and reference count data in compute domain resources, but persists these into the storage domain for use in the case of a failure or interruption of the deduplication service in the compute domain. The deduplication service responds to service requests from the storage domain with indications of paths in a user namespace and whether or not a piece of data had a fingerprint match in the fingerprint database. The indication of a match guides the storage domain to either store the piece of data into the storage backend or to reference another piece of data. The deduplication service uses the fingerprints to define paths for corresponding pieces of data.

Abstract: A storage tier manager creates different versions of a dataset backup for different retention periods. Each of the versions is distinctly identifiable despite initially representing a same dataset backup. One version can be referred to as a cached version of the dataset backup and another version can be referred to as a cloud version of the dataset backup. When the retention period expires for the cached version of the dataset backup, the storage tier manager migrates the cloud version of the dataset backup from the caching storage tier to the cloud storage tier. The storage tier manager can then recover storage space occupied by data that has been migrated, as long as that data is not shared with other cached versions of other dataset backups due to deduplication.

Abstract: Presented herein are methods, non-transitory computer readable media, and devices for writing, allocating, and caching contents of a hard disk drive block on a solid state drive cache in a memory system, without requiring an inode context. The method includes: identifying one or more HDD blocks for caching by a storage server; assigning a physical block number to each identified HDD block; linking the identified HDD blocks to one another; allocating an SSD physical block number for each linked HDD block; and storing the physical block number for each identified HDD block and the physical block number for each corresponding SSD block within a cache map.

Abstract: One or more techniques and/or computing devices are provided for moving a consistency group having a replication relation. For example, a first consistency group of storage objects (e.g., files, logical unit numbers (LUNs), etc.) within first storage may have a replication relationship with a second consistency group within second storage (e.g., the second consistency group is maintained as a synchronously replicated copy of the first consistency group). A volume copy operation, a single file move on demand command, a single file restore command, or other functionality is used to move the first consistency group from the first storage to third storage, such as for load balancing, to create a moved first consistency group within the third storage. A new replication relationship is established between the moved first consistency group and the second consistency group, and the moved first consistency group and the second consistency group are resynchronized.

Abstract: A configuration for a component of a primary node is synchronized with a configuration for a component of a partner node in a different cluster by replicating the primary node configuration with the partner node. A baseline configuration replication comprises a snapshot of a component configuration on the primary. The baseline configuration can be generated by traversing through the configuration objects, capturing their attributes and encapsulating them in a package. The baseline package can then be transferred to the partner node. The configuration objects can be applied on the partner node in the order in which they were captured on the primary node. Attributes of the configuration objects are identified that are to be transformed. Values for the identified attributes are transformed from a name space in the primary node to a name space in the partner node.

Abstract: Methods, non-transitory computer readable media, and computing devices that manages distributed snapshot for low latency storage includes accessing one or more snapshots from one or more solid state devices (SSD), wherein the obtained one or more snapshots are stored in a snapshot allocated capacity of the one or more SSD. A data transfer operation is initiated from a primary storage to a secondary storage using the accessed one or more snapshots. It is determined if the initiated data transfer operation is completed and when it is determined to be completed, the obtained one or more snapshots stored in the snapshot allocated capacity of the one or more SSD are deleted.