Abstract: A method of managing virtual storage systems, the method comprising creating a virtual storage system, the virtual storage system including a virtual drive layer that includes a plurality of virtual drives and virtual drive logic configured to manage processing of I/O operations in the virtual storage system; and a backend storage layer including one or more storage devices that include at least one storage device for which one or more performance specifications are defined by a cloud storage service provider; and adjusting at least one component of the virtual storage system.

Abstract: Coalescing write operations in a cloud-based storage system including receiving, from a storage controller application of the cloud-based storage system, a first plurality of write operations, wherein each of the first plurality of write operations comprises a respective write to a storage volume; coalescing the first plurality of write operations into a plurality of 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 the plurality of coalesced write operations on the storage volume.

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: Using Infrastructure-as-Code (‘IaC’) to update a cloud-based storage system, including: monitoring one or more performance metrics associated with a cloud-based storage system; generating, based on the performance metrics, a configuration template for the cloud-based storage system, wherein the configuration template specifies a target state for the cloud-based storage system; and updating the cloud-based storage system using the configuration template.

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.

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: A distributed cloud-based storage system, where the distributed cloud-based storage system includes: receiving, by one or more storage controller applications of the cloud-based storage system, one or more storage operations; storing, among one or more cloud computing instances of the cloud-based storage system, the one or more storage operations; and distributing, among one or more cloud computing instances within respective one or more cloud computing environments within distinct geographic regions, one or more of the one or more storage operations.

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: 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: A method of providing block-based storage is described. The method comprises: creating a virtual storage system for storing a dataset, the virtual storage system including a virtual drive layer that includes a plurality of virtual drives for storing at least a portion of the dataset as block data; and a block storage backend layer for storing at least the portion of the dataset as block data, the block storage backend layer including one or more block-based storage devices; receiving an I/O operation with respect to the dataset; and based on the received I/O operation, storing, in the block storage backend layer, an update to the dataset.

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: Reconfiguring a storage system based on resource availability, including: limiting a number of storage devices in a storage system that may be simultaneously servicing write operations; determining that an amount of required write bandwidth has changed; and subsequent to determining that the amount of required write bandwidth has changed, adjusting, by a computer processor, the number of storage devices in the storage system that may be simultaneously servicing write operations.

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: 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: Reconfiguring a storage system based on resource availability, including: limiting a number of storage devices in a storage system that may be simultaneously servicing write operations; determining that an amount of required write bandwidth has changed; and subsequent to determining that the amount of required write bandwidth has changed, adjusting, by a computer processor, the number of storage devices in the storage system that may be simultaneously servicing write operations.

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: 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: A first read request for data stored at a non-volatile memory is received by a primary storage controller. The data is programmed from the non-volatile memory to a first cache of the primary storage controller, the first cache to store the data over a first time range. A second read request is received for the data. In response to receiving the second read request for the data, the data is programmed to a second cache to store the data over a second time range that is greater than the first time range. A notification is transmitted to a secondary storage controller, the notification including information associated with the programming of the data to the second cache.

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.