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: Leveraging distinct storage tiers in a virtual storage system, including: receiving a request to write data to the virtual storage system; selecting, from amongst a plurality of tiers in the virtual storage system, a tier for receiving the data, wherein the plurality of tiers include a write-mostly tier and at least one other tier; and storing, within the selected tier within the virtual storage system, the data.

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: 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: 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: 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: 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: 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: 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: 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: 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: 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: Taking recovery actions for replicated datasets, including: determining whether a request to modify a dataset that is synchronously replicated among a plurality of storage systems has been applied on a particular storage system of the plurality of storage systems, wherein the plurality of storage systems is synchronously replicating the dataset by acknowledging the request as being complete when each storage system has modified its copy of the dataset; and applying a recovery action based on whether the request to modify the dataset has been applied on the particular storage system of the plurality of storage systems.

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: Leveraging distinct storage tiers in a virtual storage system, including: receiving a request to write data to the virtual storage system; selecting, from amongst a plurality of tiers in the virtual storage system, a tier for receiving the data, wherein the plurality of tiers include a write-mostly tier and at least one other tier; and storing, within the selected tier within the virtual storage system, the data.

Abstract: A system and method of uniform sampling in an append-only database to determine temporal distribution of 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: Leveraging distinct storage tiers in a virtual storage system, including: receiving a request to write data to the virtual storage system; selecting, from amongst a plurality of tiers in the virtual storage system, a tier for receiving the data, wherein the plurality of tiers include a write-mostly tier and at least one other tier; and storing, within the selected tier within the virtual storage system, the data.

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: 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.