Abstract: An illustrative method includes a monitoring system obtaining event data describing an event within a distributed compute and storage system, generating an event block for the event based on the event data, and attaching the event block to an event blockchain associated with the distributed compute and storage system, the event blockchain being immutable and indicating one or more events within the distributed compute and storage system in a chronological order of the one or more events. The event blockchain is used to provide one or more features of a storage system.

Abstract: Cloning storage systems in a cloud computing environment, including: receiving a request to create a cloud-based storage system; retrieving, from cloud-based object storage, one or more objects to include in the cloud-based storage system; and creating the cloud-based storage system, including storing, in block storage of the cloud-based storage system, data contained in the one or more objects retrieved from the cloud-based object storage.

Abstract: An illustrative method includes a storage management system ingesting a data item into a unified storage system via a storage system interface among a plurality of storage system interfaces associated with the unified storage system, determining, in response to the ingesting of the data item into the unified storage system, an operation based on the data item, and providing a notification of the operation to an orchestration system configured to manage an execution of the operation by a computing system associated with the unified storage system. In certain embodiments, the unified storage system may be implemented as compute-aware storage system such as a container orchestrator-aware storage system.

Abstract: An illustrative method includes a storage management system detecting an event within a storage system, determining an operation based on the event, and providing a notification of the operation to an orchestration system configured to manage an execution of the operation by a computing system associated with the storage system.

Abstract: Efficiently transferring data between tiers in a virtual storage system, including: receiving, by the virtual storage system, a request to write data to the virtual storage system; transforming, within storage provided by a first tier of storage of the virtual storage system, the data to generate transformed data; and migrating, from the first tier of storage to a second tier of storage that is more durable than the first tier of storage of the virtual storage system, at least a portion of the transformed data.

Abstract: Sizing a virtual storage system, including: determining a change to one or more resource demands; determining, based on the change to the one or more resource demands, one or more modifications to one or more virtual components included as part of a virtual storage system architecture of a virtual storage system within a cloud computing environment; and initiating, responsive to the change to the one or more resource demands, the one or more modifications to the one or more virtual components included as part of the virtual storage system architecture of the virtual storage system, including replacing one or more of the virtual components with a higher performance virtual component.

Abstract: Determining active membership among a set of storage systems, including: determining, by a cloud-based storage system among the set of storage systems, that a membership event corresponds to a change in membership to the set of storage systems synchronously replicating the dataset; applying, in dependence upon the membership event, one or more membership protocols to determine a new set of storage systems to synchronously replicate the dataset; and for one or more I/O operations directed to the dataset, applying the one or more I/O operations to the dataset synchronously replicated by the new set of storage systems.

Abstract: Symmetric storage using a cloud-based storage system, including: receiving, at a cloud-based storage system among storage systems synchronously replicating a dataset, an I/O operation directed to the dataset; determining, in dependence upon the I/O operation, a metadata update describing a mapping of segments of content to an address within a storage object, wherein the storage object includes the dataset; and synchronizing metadata on another storage system of the storage systems by sending the metadata update from the cloud-based storage system to the other storage system to update a metadata representation on the second storage system in accordance with the metadata update.

Abstract: Performing disaster recovery in a cloud-based storage system, including: creating, by a storage system a snapshot of a dataset; uploading, from the storage system to a cloud computing environment, the snapshot; storing, by the cloud computing environment, the snapshot; detecting, by the cloud computing environment, that the dataset is not available on the storage system; and creating, by the cloud computing environment using the snapshot that is stored within the cloud computing environment, a cloud-based storage system that includes the dataset.

Abstract: Data recovery in a virtual storage system, including: detecting, within storage provided by a first tier of storage of the virtual storage system, data loss within a dataset, wherein recovery data for the dataset is stored in a second tier of storage; determining a recovery point for the dataset up to which a consistent version of the dataset is recoverable from the recovery data stored in the second tier of storage; and restoring, within the storage provided by the first tier of storage of the virtual storage system, the consistent version of the dataset.

Abstract: An illustrative method includes a storage management system of a container system performing, for a worker node added to a cluster of the container system based on a first authentication of the worker node, a second authentication for the worker node, and determining, based on the second authentication, whether the worker node is authorized to perform one or more operations on a storage system associated with the cluster.

Abstract: An illustrative method includes a monitoring system obtaining an attribute model for a dataset stored at rest within a storage system, the attribute model indicating one or more attributes of the dataset, determining, based on the attribute model, a compliance level of the dataset with a compliance ruleset associated with a compliance policy, and performing, based on the compliance level of the dataset with the compliance ruleset, an operation with respect to the dataset.

Abstract: An illustrative method includes a storage management system detecting an event within a storage system, determining, based on the event, an operation related to a compliance ruleset associated with a compliance policy, and providing a notification of the operation to an orchestration system configured to manage an execution of the operation by a computing system associated with the storage system.

Abstract: A cloud-based storage system within a cloud computing environment, the cloud-based storage system including: monitoring, for the cloud-based storage system, one or more storage system operations, wherein the cloud-based storage system includes a virtual instance storage layer and a cloud-based storage layer; determining, based at least upon the one or more storage system operations, one or more access patterns for the cloud-based storage system; and modifying, based at least upon the one or more access patterns for the cloud-based storage system, one or more cloud configurations for the cloud-based storage system.

Abstract: Utilizing different data compression algorithms based on characteristics of a storage system, including: selecting, in dependence upon a priority for conserving processing resources or storage resources in a storage system, a data compression algorithm to utilize to compress data; detecting that at least one of an amount of processing resources available in the storage system or the amount of space available to store additional data in the storage system has changed; and responsive to detecting that at least one of the amount of processing resources available in the storage system or the amount of space available to store additional data in the storage system has changed, selecting a different data compression algorithm to utilize to compress data.

Abstract: Cloning storage systems in a cloud computing environment, including: receiving a request to create a cloud-based storage system; retrieving, from cloud-based object storage, one or more objects to include in the cloud-based storage system; and creating the cloud-based storage system, including storing, in block storage of the cloud-based storage system, data contained in the one or more objects retrieved from the cloud-based object storage.

Abstract: A method of orchestrating a virtual storage system, the method comprising: determining a change to one or more resource demands; determining, based on the change to the one or more resource demands, one or more modifications to one or more virtual components included as part of a virtual storage system architecture of a virtual storage system within a cloud computing environment; and initiating, responsive to the change to the one or more resource demands, the one or more modifications to the one or more virtual components included as part of the virtual storage system architecture of the virtual storage system.

Abstract: Managing storage systems that are synchronously replicating a dataset, including: detecting a change in membership to the set of storage systems synchronously replicating the dataset; and applying one or more membership protocols to determine a new set of storage systems to synchronously replicate the dataset, wherein the one or more membership protocols include a quorum protocol, an external management protocol, or a racing protocol, and wherein one or more I/O operations directed to the dataset are applied to a new set of storage systems.

Abstract: Replicating multiple storage systems utilizing coordinated snapshots, including identifying a replica dataset stored across two or more target storage systems, wherein the replica dataset is a replication target for a source dataset stored across two or more source storage systems; identifying two or more local replicated checkpoints that are replicated from the two or more source storage systems to the two or more target storage systems, wherein two or more local source checkpoints for the two or more local replicated checkpoints are associated with a coordinated source checkpoint for the source dataset; and determining, based on the two or more local replicated checkpoints, a coordinated target checkpoint for the replica dataset.

Abstract: Maximizing data throughput in a cloud-based storage system, including: receiving a plurality of write operations directed to a cloud-based storage system; coalescing the plurality of write operations into one or more coalesced write operations, wherein each of the coalesced write operations are configured to effect two or more of the first plurality of write operations; and performing, based on a service tier associated with the cloud-based storage system, the plurality of coalesced write operations on the storage volume.