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: 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: 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: 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: 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: 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: Content including information describing an issue with a storage system is received. The content is analyzed by a generative artificial intelligence (AI) model to identify the issue described by the content. A solution for the issue is determined based on at least one of information associated with the storage system or information associated with one or more other storage systems. A response including a description of the solution for the issue is generated.

Abstract: Utilizing different data compression algorithms based on characteristics of a storage system, including: detecting that an availability of resources to a storage system for storing additional data in the storage system has changed; and based on the detection, selecting a data compression algorithm to utilize to compress data that is different compared to a previously selected data compression algorithm.

Abstract: Utilizing a non-repeating identifier to encrypt data, including: receiving a request to write data to a storage device; selecting a segment-offset pair where the data will be stored, where the selected segment-offset pair is unique to every other segment-offset pair utilized during the lifetime of the storage device; and encrypting the data in dependence upon an identifier of the segment-offset pair.

Abstract: Controlling the direction of replication between cross-region replicated object stores is disclosed.

Abstract: Application-managed fault detection for cross-region replicated object stores is disclosed. An embodiment includes determining, by a first storage system among a plurality of storage systems replicating an object store, a faulted state in response to identifying a fault that prevents replication of updates to the object store to at least a second storage system of the plurality of storage systems; providing, through an API, an indication that the first storage system has entered the faulted state; and receiving a request indicating how to proceed in the presence of the fault.

Abstract: Providing application-side infrastructure to control cross-region replicated object stores is disclosed. An embodiment includes determining, for an object store replicated across a plurality of storage systems at a plurality of locations, a minimum time interval between requests to modify the object store that are received by differing storage systems of the plurality of storage systems that ensures a predictable result on all storage systems among which the requested modifications are replicated; and providing, through an application programming interface (API) to a client that utilizes the object store, one or more object store parameters including the minimum time interval.

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: Systems and methods for orchestrating coordinated snapshots across distinct storage environments are disclosed. The methods include steps for determining, for storage systems storing portions of a dataset, that a local checkpoint at a storage system of the storage systems meets dependency requirements for a coordinated checkpoint of the dataset relative to another local checkpoint at another storage system of the storage systems while storage operations are being applied to the dataset, and based on the determination, orchestrating the coordinated checkpoint.

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: 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 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: 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.