Abstract: Dynamic scaling of a virtual storage system, including: detecting, within one or more virtual components of the virtual storage system, a change in performance; determining, in response to the detected change in performance, a scaling response based on the virtual storage system meeting one or more target performance metrics; and scaling, based on one or more available virtual components of the virtual storage system, up or down such that performance of the virtual storage system is in accordance within the one or more target performance metrics.

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: Servicing I/O operations in a cloud-based storage system, including: receiving, by the cloud-based storage system, a request to write data to the cloud-based storage system; storing, in solid-state storage of the cloud-based storage system, the data; storing, in object storage of the cloud-based storage system, the data; detecting that at least some portion of the solid-state storage of the cloud-based storage system has become unavailable; identifying data that was stored in the portion of the solid-state storage of the cloud-based storage system that has become unavailable; retrieving, from object storage of the cloud-based storage system, the data that was stored in the portion of the solid-state storage of the cloud-based storage system that has become unavailable; and storing, in solid-state storage of the cloud-based storage system, the retrieved data.

Abstract: Scaling storage resources in a storage volume, including: monitoring a usage of a volume in a storage pool that includes one or more cloud-based storage systems; determining that the usage of the volume exceeds a threshold usage; and based on the determination, expanding the resources that are included in the storage pool for servicing the volume, including: instantiating one or more new virtual drives that are included in the one or more cloud-based storage systems; and adding the one or more new virtual drives to the storage pool.

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: Establishing a guarantee for maintaining a replication relationship between object stores during a communications outage, an embodiment including identifying, by a first storage system, respective local clock values of one or more second storage systems, wherein the first storage system and the one or more second storage systems are among a plurality of storage systems replicating an object store, wherein the plurality of storage systems are configured to receive requests directed to the replicated object store; determining, by the first storage system in dependence upon the respective local clock values, respective clock differences of the one or more second storage systems relative to the first storage system; and ordering, by the first storage system, one or more updates to the replicated object store in dependence upon the respective clock differences.

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: Determining storage consumption in group of storage resources, including for the group of data units within a group of storage resources: for each data unit in the group of data units, determining whether the data unit is associated with one or more client entities; and for each data unit associated with one or more client entities, determining a category for the data unit; calculating storage consumption for a client based on the category of each data unit; and reporting the calculated storage consumption.

Abstract: Synchronously replicating a dataset across cloud-based storage systems, including adding a cloud-based storage system to a set of storage systems that the dataset is synchronously replicated across, where access operations are applied to the dataset equivalently through all storage systems in the set, all storage systems in the set store a separate copy of the dataset, and operations to modify the dataset performed and completed through any of the storage systems in the set are reflected in access operations to read the dataset, the cloud-based storage system including one or more cloud computing instances executing a storage controller application, a virtual drive layer that includes one or more cloud computing instances with local storage for storing at least a portion of the dataset as block data, and an object storage layer for storing at least a portion of the dataset as object data.

Abstract: In an embodiment, two or more storage systems are requested to prepare respective local checkpoints for a dataset, wherein each of the two or more storage systems stores portion of the dataset. The two or more storage systems are determined to have established the checkpoint. In response to determining that the local checkpoints have been established, a coordinated checkpoint is completed.

Abstract: A storage system proxy associated with a storage system may receive a service mesh policy used by a service mesh. The storage system may include a storage system proxy. The service mesh may include a control plane and a data plane. The data plane may include proxies associated with respective services. The control plane may configure the proxies according to the service mesh policy. The data plane may include the proxies communicating with each other, as configured by the control plane, to relay exchanges between the services. The storage system proxy may communicate with the storage system to configure a volume based on the service mesh policy received from the service mesh. The volume may be exposed to the data plane.

Abstract: Recovering from system faults for replicated datasets, including: receiving, by the cloud-based storage system, a request to modify a dataset that is stored by the cloud-based storage system, wherein the dataset is synchronously replicated among a plurality of storage systems that includes the cloud-based storage system, wherein a request to modify the dataset is acknowledged as being complete when each of the plurality of storage systems has modified its copy of the dataset; generating recovery information indicating whether the request to modify the dataset has been applied on all storage systems in the plurality of storage systems synchronously replicating the dataset; and after a system fault, applying a recovery action in dependence upon the recovery information indicating whether the request to modify the dataset has been applied on all storage systems in the plurality of storage systems synchronously replicating the dataset.

Abstract: Servicing I/O operations in a cloud-based storage system, including: receiving, by the cloud-based storage system, a request to write data to the cloud-based storage system; storing, in solid-state storage of the cloud-based storage system, the data; storing, in object storage of the cloud-based storage system, the data; detecting that at least some portion of the solid-state storage of the cloud-based storage system has become unavailable; identifying data that was stored in the portion of the solid-state storage of the cloud-based storage system that has become unavailable; retrieving, from object storage of the cloud-based storage system, the data that was stored in the portion of the solid-state storage of the cloud-based storage system that has become unavailable; and storing, in solid-state storage of the cloud-based storage system, the retrieved data.

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: In an embodiment, two or more storage systems are requested to prepare respective local checkpoints for a dataset, wherein each of the two or more storage systems stores portion of the dataset. The two or more storage systems are determined to have established the checkpoint. In response to determining that the local checkpoints have been established, a coordinated checkpoint is completed.

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: 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: Determining storage consumption in group of storage resources, including for the group of data units within a group of storage resources: for each data unit in the group of data units, determining whether the data unit is associated with one or more client entities; and for each data unit associated with one or more client entities, determining a category for the data unit; calculating storage consumption for a client based on the category of each data unit; and reporting the calculated storage consumption.

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.