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: Secure cloud-based storage system management that includes: establishing, within a cloud-based services provider and based on one or more user credentials, a cloud-based user session to execute one or more commands on a remote storage system that includes physical storage devices; determining one or more data storage operations corresponding to the physical storage devices to implement the one or more commands on the storage system; and extending, based on using an access token based on the one or more user credentials to securely issue the one or more data storage operations to the remote storage system, the cloud-based user session to the remote storage system.

Abstract: Dynamically adjusting an amount of log data generated for a storage system that includes a plurality of storage devices, including: setting, for a component within the storage system, a logging level for the component, the logging level specifying the extent to which log data should be generated for a particular component; determining, in dependence upon one or more measured operating characteristics of the storage system, whether the logging level for the component should be changed; and responsive to determining that the logging level for the component should be changed, changing the logging level associated with the component.

Abstract: An illustrative method includes detecting, by a cloud based storage system services provider based on a problem signature, that a storage system has experienced a problem that is associated with the problem signature; and deploying, without user intervention, one or more corrective measures that modify the storage system to resolve the problem.

Abstract: A storage system for synchronously replicating a dataset across hardware-based storage systems and cloud-based storage systems, the storage system including specifying a set of managed objects, a set of management operations, and a set of access operations to correspond to the dataset, where management operations can modify or query managed objects equivalently through the hardware-based storage systems and the cloud-based storage systems; access operations to read or modify the dataset operate equivalently through the hardware-based storage systems and the cloud-based storage systems; each hardware-based storage system and each cloud-based storage system stores a separate copy of the dataset as a proper subset of the datasets stored and advertised for use; and operations to modify managed objects or the dataset performed and completed through the hardware-based storage systems and the cloud-based storage systems are reflected in subsequent management objects to query the dataset or subsequent access operatio

Abstract: Proactively providing corrective measures for storage arrays includes: receiving data from a storage array, the data including one or more events; detecting, in dependence upon a problem signature, one or more events from the data indicative of a particular problem, where the problem signature comprises a specification of a pattern of events indicative of the particular problem experienced by at least one other storage array; determining whether the particular problem violates an operational policy of the storage array, the operational policy specifying at least one requirement for an operational metric of the storage array; and if the particular problem violates the operational policy of the storage array, deploying automatically without user intervention one or more corrective measures to prevent the storage array from experiencing the particular problem.

Abstract: A cloud-based storage system contained in a cloud computing environment, the cloud-based storage system including: determining, at the cloud-based storage system and in response to a request for data, that the data previously stored within one or more virtual instances of a virtual instance layer is no longer stored within the one or more virtual instances; generating, within the virtual instance layer, a quantity of virtual instances to receive data restored from a cloud-based storage layer of the cloud-based storage system; and restoring, into the quantity of virtual instances at the virtual instance layer, data from the cloud-based storage layer of the cloud-based 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: An exemplary security threat monitoring system receives performance metric data representative of a performance metric for a storage system, applies the performance metric data as an input to an unsupervised machine learning model, and identifies, based on an output of the unsupervised machine learning model, an anomaly in the performance metric 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 system and method for efficiently storing data in a storage system. A data storage subsystem includes multiple data storage locations on multiple storage devices in addition to at least one mapping table. A data storage controller determines whether data to store in the storage subsystem has one or more patterns of data intermingled with non-pattern data within an allocated block. Rather than store the one or more pattern on the storage devices, the controller stores information in a header on the storage devices. The information includes at least an offset for the first instance of a pattern, a pattern length, and an identification of the pattern. The data may be reconstructed for a corresponding read request from the information stored in the header.

Abstract: A cloud-based storage system contained in a cloud computing environment, the cloud-based storage system including: determining, at the cloud-based storage system and in response to a request for data, that the data previously stored within one or more virtual instances of a virtual instance layer is no longer stored within the one or more virtual instances; generating, within the virtual instance layer, a quantity of virtual instances to receive data restored from a cloud-based storage layer of the cloud-based storage system; and restoring, into the quantity of virtual instances at the virtual instance layer, data from the cloud-based storage layer of the cloud-based storage system.

Abstract: Proactively providing corrective measures for storage arrays includes: receiving data from a storage array, the data including one or more events; detecting, in dependence upon a problem signature, one or more events from the data indicative of a particular problem, where the problem signature comprises a specification of a pattern of events indicative of the particular problem experienced by at least one other storage array; determining whether the particular problem violates an operational policy of the storage array, the operational policy specifying at least one requirement for an operational metric of the storage array; and if the particular problem violates the operational policy of the storage array, deploying automatically without user intervention one or more corrective measures to prevent the storage array from experiencing the particular problem.

Abstract: Proactively providing corrective measures for storage arrays includes: receiving data from a storage array, the data including one or more events; detecting, in dependence upon a problem signature, one or more events from the data indicative of a particular problem, where the problem signature comprises a specification of a pattern of events indicative of the particular problem experienced by at least one other storage array; determining whether the particular problem violates an operational policy of the storage array, the operational policy specifying at least one requirement for an operational metric of the storage array; and if the particular problem violates the operational policy of the storage array, deploying automatically without user intervention one or more corrective measures to prevent the storage array from experiencing the particular problem.

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: Performance tuning in a storage system that includes one or more storage devices, including: storing, by a primary controller of the storage system, data corresponding to one or more computer processes into one or more of the one or more storage devices, determining, by a secondary controller that is configured similarly to the primary controller, one or more utilization patterns of the data, and initiating, in dependence upon the one or more utilization patterns of the data, a modification to a manner in which the one or more computer processes access the data stored in the one or more storage devices.

Abstract: Performance tuning in a storage system that includes one or more storage devices, including: storing, by a primary controller of the storage system, data corresponding to one or more computer processes into one or more of the one or more storage devices, determining, by a secondary controller that is configured similarly to the primary controller, one or more utilization patterns of the data, and initiating, in dependence upon the one or more utilization patterns of the data, a modification to a manner in which the one or more computer processes access the data stored in the one or more storage devices.

Abstract: Dynamically adjusting an amount of log data generated for a storage system that includes a plurality of storage devices, including: setting, for a component within the storage system, a logging level for the component, the logging level specifying the extent to which log data should be generated for a particular component; determining, in dependence upon one or more measured operating characteristics of the storage system, whether the logging level for the component should be changed; and responsive to determining that the logging level for the component should be changed, changing the logging level associated with the component.

Abstract: Performance tuning in a storage system that includes one or more storage devices, including: storing, by a primary controller of the storage system, data corresponding to one or more computer processes into one or more of the one or more storage devices, determining, by a secondary controller that is configured similarly to the primary controller, one or more utilization patterns of the data, and initiating, in dependence upon the one or more utilization patterns of the data, a modification to a manner in which the one or more computer processes access the data stored in the one or more storage devices.

Abstract: Performance tuning in a storage system that includes one or more storage devices, including: storing, by a primary controller of the storage system, data corresponding to one or more computer processes into one or more of the one or more storage devices, determining, by a secondary controller that is configured similarly to the primary controller, one or more utilization patterns of the data, and initiating, in dependence upon the one or more utilization patterns of the data, a modification to a manner in which the one or more computer processes access the data stored in the one or more storage devices.