Abstract: A system, method, and machine-readable storage medium for determining an amount of unique data in a distributed storage system are provided. In some embodiments, a combined efficiency set for a first data set stored in the distributed storage system, such as at a volume, may be generated. The first data set may include a first subset of data and a second subset of data in the distributed storage system. Additionally, a set of efficiency sets for the first subset of data may be generated. A set difference based on the combined efficiency set and the set of efficiency sets may be computed. An amount of memory used for storing unique data of the second subset of data may be estimated based on the set difference. The unique data may be present in the second subset of data but absent from the first subset of data.

Abstract: Systems and methods for multiple device consumption of shared namespaces of ephemeral storage devices by a consumer of a virtual storage system are provided. In an example, multiple namespaces of respective ephemeral storage devices are shared among multiple of consumers of a virtual storage system by creating multiple partitions within each of the namespaces for use by respective consumers of the multiple consumers. Corresponding partitions of respective shared namespace may then be treated as a stripe set to facilitate multiple device consumption for a subsystem (e.g., operation log journaling) of the virtual storage system by striping data associated with input/output (I/O) requests of a consumer (e.g., a journaling driver) across one or more stripe units of one or more stripes within the stripe set.

Abstract: Methods and systems for a networked storage system is provided. One method includes transforming by a processor, performance parameters associated with storage volumes of a storage system for representing each storage volume as a data point in a parametric space; generating by the processor, a plurality of bins in the parametric space using the transformed performance parameters; adjusting by the processor, bin boundaries for the plurality of bins for defining a plurality of service levels for the storage system based on the performance parameters; and using the defined plurality of service levels for operating the storage system.

Abstract: Techniques are provided for metadata management for enabling automated switchover in accordance with a configuration of storage solution that expresses a preference for either maintaining availability (e.g., a non-zero RPO mode) of the storage solution or avoiding data loss (e.g., a zero RPO mode). In one example, responsive to detecting a switchover trigger event, a node of a local cluster of a cross-site storage solution determines whether performance of an automated switchover from a failed cluster to a surviving cluster of the cross-site storage solution is enabled. Responsive to an affirmative determination, the node selectively proceeds with the automated switchover based on the configuration.

Abstract: Techniques are provided for on-demand creation and/or utilization of containers and/or serverless threads for hosting data connector components. The data connector components can be used to perform integrity checking, anomaly detection, and file system metadata analysis associated with objects stored within an object store. The data connector components may be configured to execute machine learning functionality to perform operations and tasks. The data connector components can perform full scans or incremental scans. The data connector components may be stateless, and thus may be offlined, upgraded, onlined, and/or have tasks transferred between data connector components. Results of operations performed by the data connector components upon base objects may be stored within sibling objects.

Abstract: Systems and methods for scaling application and/or storage system functions of a distributed storage system based on a heterogeneous resource pool are provided. According to one embodiment, the distributed storage system has a composable, service-based architecture that provides scalability, resiliency, and load balancing. The distributed storage system includes a cluster of nodes each potentially having differing capabilities in terms of processing, memory, and/or storage. The distributed storage system takes advantage of different types of nodes by selectively instating appropriate services (e.g., file and volume services and/or block and storage management services) on the nodes based on their respective capabilities. Furthermore, disaggregation of these services, facilitated by interposing a frictionless layer (e.g.

Abstract: Techniques are provided for on-demand creation and/or utilization of containers and/or serverless threads for hosting data connector components. The data connector components can be used to perform integrity checking, anomaly detection, and file system metadata analysis associated with objects stored within an object store. The data connector components may be configured to execute machine learning functionality to perform operations and tasks. The data connector components can perform full scans or incremental scans. The data connector components may be stateless, and thus may be offlined, upgraded, onlined, and/or have tasks transferred between data connector components. Results of operations performed by the data connector components upon base objects may be stored within sibling objects.

Abstract: Techniques are provided for microservices management and orchestration. A chart package is selectively retrieved from a chart repository based upon the chart package corresponding to a set of services to host within a cluster and dependencies amongst the set of services. A set of container images may be retrieved from a container repository based upon the set of container images corresponding to the set of services. A cluster may be created within a computing environment. The set of services may be deployed as resources of the computing environment within the cluster and the dependencies may be configured using the chart package and the set of container images.

Abstract: Systems and methods for performing single I/O writes are provided. According to one embodiment, responsive to receipt of a write operation from a client by a file system layer of a node of a distributed storage system and a data payload of the operation having been determined to meet a compressibility threshold, an intermediate storage layer of the node logically interposed between the file system layer and a block storage media is caused to perform a single input/output (I/O) write operation that persists the compressed data payload and corresponding metadata to support asynchronous journaling of the write operation. The single I/O write operation coupled with the use of a new pool file that maintains a list of available blocks for single I/O write operations and a modified node crash recovery approach allows the write operation to be acknowledged to the client while the journaling is performed asynchronously.

Abstract: Techniques are provided for coordinating snapshot operations across multiple file systems. A notification may be received that a snapshot of data stored across a persistent memory file system and a storage file system is to be generated. Forwarding, of modify operations from a persistent memory tier to a file system tier for execution through the storage file system, may be enabled. Framing may be initiated to notify the storage file system of blocks within the persistent memory file system that comprise more up-to-date data than corresponding blocks within the storage file system. In response to the framing completing, a consistency point operation is performed to create the snapshot and to create a snapshot image as part of the snapshot.

Abstract: Techniques are provided for processing read operations while splitting a clone volume from a parent volume whose data is stored within objects of an object store. A transfer map is created to track mappings of child object identifiers to parent object identifiers of the parent objects to copy as child objects having the child object identifiers. The transfer map for the object store is traversed to copy the parent objects as the child objects for the split clone operation. The child objects are verified as being successfully created with valid data. In response to determining that the parent object has been copied as the child object, a context check is performed using the reverse map to verify a block within the child object. In response a successful context check, the read operation is processed using the block of the child object.

Abstract: Techniques are provided for on-demand creation and/or utilization of containers and/or serverless threads for hosting data connector components. The data connector components can be used to perform integrity checking, anomaly detection, and file system metadata analysis associated with objects stored within an object store. The data connector components may be configured to execute machine learning functionality to perform operations and tasks. The data connector components can perform full scans or incremental scans. The data connector components may be stateless, and thus may be offlined, upgraded, onlined, and/or have tasks transferred between data connector components. Results of operations performed by the data connector components upon base objects may be stored within sibling objects.

Abstract: Data traffic management in a computing environment utilizing direct memory access functionality is disclosed. A management agent is configured to operate within a storage node. The management agent includes a storage interface to communicate with a first set of storage devices, a management memory interface to communicate with a first management memory, and an interconnect (IC) interface to communicate with a remote peer node. The management agent controls data traffic between the storage node and the peer node to provide at least mirroring of the first management memory to the peer node and mirroring of a second management memory on the peer node to the storage node. The management agent further controls the data traffic using a traffic control approach selected based on at least a performance evaluation of an IC fabric accessible via the IC interface.

Abstract: In one embodiment, distributed data storage systems and methods are described for integrating a change tracking manager with scalable databases. According to one embodiment, a computer implemented method comprises managing storage of objects and continuously tracking changes of the objects in a distributed object storage database, creating a record for an object having an object name, the object being stored in a bucket of the distributed object storage database, linking the bucket to a peer bucket based on a directive, generating a peer marker field for the record to store one peer marker of multiple different peer markers depending on a relationship between the bucket and the peer bucket; and automatically adding a work item for the object to the secondary index of a chapter database based on the record being created in the bucket and the peer marker for the peer bucket.

Abstract: A computer-implemented method comprises providing a synchronous replication relationship from one or more storage objects of a first storage node to one or more replicated storage objects of a second storage node, providing an asynchronous replication relationship with an asynchronous update schedule from the one or more storage objects of the first storage node to one or more replicated storage objects of the third storage node to provide a protection configuration, tracking, with the third storage node of the tertiary site, a state of the secondary storage site, automatically performing a failover from the primary storage site to the secondary storage site and activating a synchronous mirror copy for the one or more replicated storage objects of the second storage node, and automatically initiating realignment and reconfiguration of the protection configuration to the tertiary storage site based upon the state of the secondary storage site.

Abstract: Techniques are provided for implementing management requests associated with objects of an object store. A data connector component may be instantiated as a container for processing management requests associated with backup data stored within an object store as an object according to an object format. A management request associated with the backup data may be received by the data connector component. A structure associated with the object having the object format may be traversed by the data connector component to identify the backup data. The data connector component may be implemented upon the backup data stored within the object.

Abstract: Systems and methods that make use of cluster-level redundancy within a distributed storage management system to address various node-level error scenarios are provided. According to one embodiment, a first node of multiple nodes of distributed storage system represented in a form of a cluster of the multiple of nodes, identifies the potential existence of an error associated with a Redundant Array of Independent Disks (RAID) stripe. A list of block identifiers (IDs) associated with the RAID stripe may then be identified. Rather than performing a traditional RAID recovery/reconstruction approach that is resource intensive in nature and that requires an excessive amount of rebuild time, a more efficient RAID stripe resynchronization process may be performed to restore data associated with the RAID stripe.

Abstract: Systems and methods for providing a file system with object versioning support are provided. Rather than adding object records for each version of an object to a chapter database, in one example, the chapter database may be limited to a single object record for a given object including: (i) a name of the object; (ii) an object file handle containing information regarding a file containing data of a current version of multiple versions of the object; and (iii) a version table file handle containing information regarding a file containing a version table. In this manner, enumeration of objects associated with a given chapter may be performed more efficiently and prior versions of objects may be maintained separately within the version table without causing disproportionate growth of object records and without increasing the search depth with objects that are not referenced by the search at issue.

Abstract: Multi-site distributed storage systems and computer-implemented methods are described for improving a resumption time of input/output (I/O) operations during an automatic unplanned failover (AUFO). A computer-implemented method includes determining, with a second storage cluster, whether heartbeat information from one or more storage objects of a CG of a first set of CGs is received during a time period, determining an out of sync state for a data replication relationship between the CG of the first set of CGs and a mirrored CG of a second set of CGs when the heartbeat information is not received during the time period and sending a single bulk role change call with a cluster identifier from the second cluster to an external mediator to provide a role change from follower to leader in the second set of CGs.

Abstract: Systems and methods are provided for bringing a volume of a consistency group (CG) into an in-synchronization (InSync) state while other volumes of the CG remain in the InSync state. According to an example, in order to support recovery from disruptive events in a manner that ensures a zero recovery point objective (RPO) guarantee and insulates an application making use of the CG from adverse impacts, responsive to a triggering event, a Fast Resync process may first be attempted to promptly bring an affected volume back into an in-synchronization (InSync) state from an out of synchronization (OOS) state while allowing other members of the CG to remain in the InSync state. Should the Fast resync process be unsuccessful in bringing the volume back into the InSync state within a predetermined or configurable time threshold, then a second type of resynchronization process may be employed at the CG level.