Abstract: Techniques are provided for managing objects within an object store. An object is maintained within an object store. In an embodiment, a rule is enforced for the object that in-use slots of the object are non-modifiable and unused slots of the object are modifiable. Metadata of additional information for a slot within the object is attached to the object header. A first application allowed to access user data within the slot is provided access to the user data without being provided access to the metadata. A second application allowed access to the user data and the additional information is provided with access to the user data and the metadata for identifying a location of additional information within the object.

Abstract: Various mechanisms and workflows are described that can utilize power and/or carbon footprint-based metrics to manage storage unit usage and/or configuration, which can provide a more efficient and environmentally friendly computing environment. In some example configurations, storage system management mechanisms collect power consumption for storage units (e.g., individual drives, storage shelfs, nodes, clusters) and can utilize the power consumption information with other storage unit characteristics to generate power and carbon footprint metrics.

Abstract: In one embodiment, a method comprises maintaining state information regarding a data synchronous replication status for a storage object of a primary storage cluster and a replicated storage object of a secondary storage cluster. The method includes temporarily disallowing input/output (I/O) operations for the storage object when the storage object of the primary storage cluster has a failure, which causes an internal state as out of sync for the storage object while maintaining an external state as in sync for external entities. The method performs persistent inflight tracking and reconciliation of I/O operations with a first Op log of the primary storage cluster and a second Op log of the secondary storage cluster and performs a resynchronization between the storage object and the replicated storage object based on the persistent inflight tracking and reconciliation of I/O operations.

Abstract: Systems and methods for reducing delays between the time at which a need for a resynchronization of data replication between a volume of a local CG and its peer volume of a remote CG is detected and the time at which the resynchronization is triggered (Reseed Time Period) are provided. According to an example, information indicative of the direction of data replication between the volume and the peer volume is maintained within a cache of a node. Responsive to a disruptive operation (e.g., relocation of the volume from an original node to a new node), the Reseed Time Period is lessened by proactively adding a passive cache entry to a cache within the new node at the time the CG relationship is created when the new node represents an HA partner of the original node and prior to the volume coming online when the new node represents a non-HA partner.

Abstract: Systems and methods are described for efficiently processing events related to a relationship between a primary copy of data at a primary storage system and a mirror copy of the data at a cross-site secondary storage system of a multi-site distributed storage system. According to an example, a mediator agent that is configured on both primary and secondary storage systems provides coordination and serialization for various events generated in the relationship. The multi-site distributed storage system performs actions based on the event processing such as performing a failover operation from the primary storage system to the secondary storage system or resynchronizing the relationship to ensure application protection and availability.

Abstract: A management system is described. The management system includes an interface coupled to a plurality of infrastructure appliances and one or more processors to monitor each of the plurality of infrastructure appliances, detect a malfunction at a first of the infrastructure appliances, and transmit a display message to one or more of the plurality of infrastructure appliances that are adjacent to the first infrastructure appliance, wherein a display message indicates one or more activity light indicators to be activated at an adjacent infrastructure appliance.

Abstract: Systems and methods for automated remediation of issues arising in a data management storage system are provided. Deployed assets of a storage solution vendor may deliver telemetry data to the vendor on a regular basis. The received telemetry data may be processed by an AIOps platform to perform predictive analytics and arrive at “community wisdom” from the vendor's installed user base. In one embodiment, an insight-based approach is used to facilitate risk detection and remediation including proactively addressing issues before they turn into more serious problems. For example, based on continuous learning based on the community wisdom and making one or both of a rule set and a remediation set derived therefrom available for use by cognitive computing co-located with a customer's storage system, a risk to which the storage system is exposed may be determined and a corresponding remediation may be deployed to address or mitigate the risk.

Abstract: Methods and systems for using a hierarchical consistency group (CG) in a storage system are provided. A parent CG is associated with at least a first child CG having a plurality of storage volumes. An atomic application programming interface (API) provisions the parent CG and the first child CG by allocating storage and storing policies for the parent CG and the first CG. A storage service selected from a backup service, a replication service and a cloning service for the parent CG and the first CG is executed based on the stored policies.

Abstract: Identifying a likely cause of a problem in an application can include: injecting a series of a set of predetermined faults into the application; sampling a subset of a set of training features from the application during each predetermined fault injected into the application and labeling each subset with an identifier of the corresponding predetermined fault; and training a classifier to identify the likely cause by associating a set of real-time features sampled from the application that pertain to the problem to one or more of the predetermined faults in response to the training features.

Abstract: Disclosed are systems, computer-readable mediums, and methods for managing client performance in a storage system. In one example, the storage system receives a request from a client to write data to the storage system. The storage system estimates, based on a system metric associated with the storage system reflecting usage of the storage system, a requested write QoS parameter for storing the data by the storage system during a first time period. The storage system further determines a target write QoS parameter for the client based on the estimated requested write QoS parameter and an allocated write QoS parameter for the client. Then, the storage system independently regulates read performance and write performance of the client using a controller to adjust the write performance toward the determined target write QoS parameter within the first time period based on feedback regarding the estimated requested write QoS parameter.

Abstract: Systems and methods for quality of service management are provided. According to one embodiment, a non-transitory computer-readable medium comprises instructions that when executed by the processing resource cause the processing resource to collect, from a plurality of volumes on a per-volume basis, one or more real-time performance metrics for one or more compute processes executing on the one or more computer systems, generate an inertial parameter for one or more volumes in the plurality of volumes, and generate an instruction that cause a processor to use the real-time performance metrics and the inertial parameter to determine whether to transfer responsibility for a compute process on a first storage server node to a second storage server node.

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: 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: A method and apparatus for replicating a data container of a source storage server at the logical level in an unordered stream of individual data units are described. In certain embodiments, the replication operations can be performed without regard to the differences in geometry of physical persistent storage of the source and destination storage servers and without regard to the differences in data container format of the source and destination storage servers. An initial replication operation of the source data container is performed by transferring the data objects within the source data container to a replica data container in the destination storage server as an unordered stream of individual data units while preserving data object identifiers of the source data objects. Afterwards, incremental replication operations can be performed to capture modifications to the source data container over time after the initial replication operation.

Abstract: A plurality of data objects is generated from a data stream received for constructing a backup image. A stream size of the data stream is determined. For each multi-threaded put operation used to write a data object of the plurality of data objects to a cloud storage, a maximum number of threads is determined into which the data object can be separated into a number of parts for simultaneous transmission to the cloud storage. A part size of each part is determined. A number of multi-threaded put operations is determined for writing the plurality of data objects to the cloud storage based, at least in part, on the stream size, the maximum number of threads into which the data object can be separated, and the part size. The plurality of data objects is stored into the cloud storage using the number of multi-threaded put operations.

Abstract: Techniques are provided for providing a storage abstraction layer for a composite aggregate architecture. A storage abstraction layer is utilized as an indirection layer between a file system and a storage environment. The storage abstraction layer obtains characteristic of a plurality of storage providers that provide access to heterogeneous types of storage of the storage environment (e.g., solid state storage, high availability storage, object storage, hard disk drive storage, etc.). The storage abstraction layer generates storage bins to manage storage of each storage provider. The storage abstraction layer generates a storage aggregate from the heterogeneous types of storage as a single storage container. The storage aggregate is exposed to the file system as the single storage container that abstracts away from the file system the management and physical storage details of data of the storage aggregate.

Abstract: Systems and methods are described for managing ephemeral storage of a virtual machine (VM) to provide victim caches for virtual storage appliances running on the VM. According to one embodiment, a central service may run within the VM and be responsible for managing allocation and reclamation of ephemeral storage space of the VM to/from the virtual storage appliances. Responsive to startup of a new virtual storage appliance on the VM, the new virtual storage appliance may request space from the central service to inform creation of its victim cache. In connection with servicing the request, the central service may take into consideration various factors including one or more of the total aggregate size of multiple local ephemeral drives associated with the VM, remaining available ephemeral storage space, the number of active virtual storage appliances, and the SLO of the virtual storage appliance seeking to establish its victim cache.

Abstract: Systems and methods are disclosed for implementing an event based retention schedule for a read only file. When a regular file is to be converted to an event based retention read only file, an “event-retain” property may be enabled on the file allowing the feature to be implemented. Then, that file may have its permissions changed to read only. This will allow the file to be changed to a read only file without using a default retention time. Then, once the event is triggered, the retention time may be set so the file can be scheduled for automatic deletion.

Abstract: In one embodiment, distributed data storage systems and methods integrate a change tracking manager with scalable databases. According to one embodiment, a computer implemented method comprises integrating change tracking of storage objects into the distributed object storage database that includes a first database of a first type and one or more chapter databases of a second type with the distributed object storage database supporting a primary lookup index and a secondary lookup index in order to locate a storage object. The method includes recording in a header of a chapter database a network topology for connecting a bucket having the chapter database to a first peer bucket when a new mirror to the first peer bucket is being established, and recording a first directive into the header of the chapter database to express a type of content to be mirrored from the bucket to the first peer bucket.

Abstract: Various embodiments are directed to techniques for dynamically adjusting a maximum rate of throughput for accessing data stored within a volume of storage space of a storage cluster system based on the amount of that data that is stored within that volume. An apparatus includes an access component to monitor an amount of client data stored within a volume defined within a storage device coupled to a first node, and to perform a data access command received from a client device via a network to alter the client data stored within the volume; and a policy component to limit a rate of throughput at which at least the client data within the volume is exchanged as part of performance of the data access command to a maximum rate of throughput, and to calculate the maximum rate of throughput based on the stored amount.