Abstract: An example method for optimizing data deletion in a storage system comprises: monitoring one or more attributes associated with a storage volume associated with a file system; and setting, based on the monitoring of the one or more attributes, a discard option to be either enabled or disabled for the storage volume, wherein when the discard option is enabled, the file system is configured to automatically issue a discard request in response to a request to delete data stored on one or more blocks within a storage device associated with the storage volume, the discard request configured to command the storage device to free the one or more blocks for use by the file system to store additional data; and when the discard option is disabled, the file system does not automatically issue the discard request in response to the request to delete the data.

Abstract: A storage cluster with disaggregated compute resources and storage memory is provided. The storage cluster includes a plurality of blades coupled as the storage cluster, each of at least a subset of the plurality of blades having solid-state storage memory therein. The storage cluster includes a switch that direct network-connects a plurality of processors, as compute resources in the plurality of blades, and the solid-state storage memory in each of the at least a subset of the plurality of blades, wherein the compute resources and the solid-state storage memory are disaggregated in the storage cluster.

Abstract: A storage unit of the storage network operates by: receiving an access request from a user device of a first group of user devices, the storage unit having an access policy that designates, for the first group of user devices, a first read time window for reading data from the storage unit and a first write time window for writing data to the storage unit; determining whether the access request is received within the first read time window when the access request is a read request or whether the access request is received within the first write time window when the access request is a write request; when the access request is the read request and is received within the first read time window, generating a read response that includes one or more requested encoded data slices; and when the access request is the write request and is received within the first write time window, processing the write request to store one or more new encoded data slices.

Abstract: An illustrative method includes a container storage system detecting an event that occurs within a container system comprising a plurality of nodes; determining that the event has a potential to impact, by more than a threshold amount, performance of a first virtual network interface used by the nodes; and transmitting, based on the determining that the event has the potential to impact the performance of the first virtual network interface by more than the threshold amount, a request to a network provider system for the network provider system to provide a second virtual network interface for use by one or more of the nodes.

Abstract: A processing system operates by: detecting an access anomaly associated with an access request from a requestor for a set of encoded data slices, the access anomaly having an unfavorable access pattern, wherein the set of encoded data slices is dispersed storage error encoded and stored in at least one storage unit of the storage network; denying the access request in response to detecting the access anomaly; generating, based on the unfavorable access pattern, an anomaly detection indicator identifying the requestor; and sending the anomaly detection indicator to other devices of the storage network.

Abstract: A storage system is provided. The storage system includes a plurality of non-volatile memory modules and a storage system controller. One or more non-volatile memory modules include a multiplane die. A processing device of the storage system controller is configured to determine that a number of planes of the multiplane die used simultaneously for accessing data should be changed. In response to determining that the number of planes the multiplane die used simultaneously for accessing data should be changed, the processing device is configured to move one or more portions from an existing erase block to a new erase block, the existing erase block being a different size than the new erase block.

Abstract: A method includes error encoding data to produce a plurality of data slices. Metadata is determined for a data slice of the plurality of data slices. The metadata is stored in a metadata storage tree. The data slice is stored in a slice storage location indicated by the metadata. Based on determining to access the data slice, the metadata for the data slice is accessed in the metadata storage tree to determine the slice storage location for the data slice, and the data slice is accessed in the slice storage location based on determining the slice storage location for the data slice via accessing the metadata storage tree.

Abstract: A method for snapshots with crash consistency is provided. The method includes indicating intent to create a snapshot of storage system contents associated with an existing snapshot copy identifier, responsive to confirmation that all of a plurality of distributed agents are in a snapshot creation mode. The method includes responding, with a new snapshot copy identifier that replaces the existing snapshot copy identifier, to one or more inquiries from the plurality of distributed agents regarding one or more I/O operations, after the indicating the intent to create the snapshot. The method includes creating the snapshot using the existing snapshot copy identifier and committing the snapshot, responsive to receiving responses from the plurality of distributed agents that service is complete for all I/O operations that started before the indicating the intent to create the snapshot or that are associated with the existing snapshot copy identifier.

Abstract: A set of blocks of a storage device are allocated for storage of data, wherein the set of blocks of the storage device is selected based on a power requirement that is based on a number of partially programmed blocks stored in the cache. Subsequent data to be stored at the storage device is assigned to the set of blocks for storage at the storage device.

Abstract: In a particular embodiment, a dataset that is synchronously replicated across a plurality of storage systems is stored on a particular storage system. The storage system identifies input/output (I/O) requests directed to the dataset. The one or more I/O requests are initiated by an application hosted on a platform of the first storage system. The storage system services the one or more I/O requests directed to the dataset.

Abstract: An illustrative method includes maintaining, by a data protection system, a metric associated with a similar block detection process performed by a storage system with respect to data processed by the storage system, the metric representative of a measure of similar blocks in the data as detected by the similar block detection process; determining, by the data protection system, that the metric changes by more than a threshold amount; and determining, by the data protection system based on the determining that the metric changes by more than the threshold amount, that the data processed by the storage system is possibly being targeted by a security threat.

Abstract: An example method for adjusting IO profiles in a distributed storage system comprises: determining, by a storage system that provides a volume as persistent storage for a container application running in a container system, a characteristic of the container application; and adjusting, by the storage system and based on the characteristic of the container application, an input/output (IO) profile of the volume.

Abstract: A method for file locks in a distributed file system, performed by a storage system is provided. The method includes receiving, at a storage system having a distributed file system, a request for access of a file and locking the file, through one of a plurality of persistent file locks in the storage system. The method includes accessing the file, through the distributed file system, and unlocking the file, through the one of the plurality of persistent file locks.

Abstract: A processing system of a storage network operates by receiving a write request associated with a data object; identifying dispersed storage error encoding parameters; and determining a number of available storage units. When the number of available storage units is determined to exceed a first number, the processing system operates by: determining a first write threshold number in accordance with the dispersed storage error encoding parameters; dispersed error encoding the data object to produce a first write threshold number of encoded data slices; and writing, to available storage units, the first write threshold number of encoded data slices.

Abstract: An example method for analyzing logs for root causes of errors in a cloud environment comprises: detecting an error in a component deployed within a cloud environment; providing, based on the detecting the error, log data associated with the component to a root cause analysis machine learning model; determining, based on an output of the machine learning model, a corrective measure configured to address the error; and performing a remedial action associated with the corrective measure.

Abstract: A method includes monitoring processing of a writing process associated with a plurality of sets of encoded data slices to storage units of the storage network in accordance with error encoding parameters to produce write processing performance information, where for a set of encoded data slices of the plurality of sets of encoded data slices, the error encoding parameters include an error coding number and a decode threshold number. When the write processing performance information compares unfavorably to a desired write performance range, the method further includes adjusting at least one of the error coding number and the decode threshold number to produce adjusted error encoding parameters for writing subsequent sets of encoded data slices of the plurality of sets of encoded data slices.

Abstract: Methods and apparatus determining corrective actions in a storage network. In various examples, a method (e.g., executed by one or more processing modules) includes capturing event information relating to operations performed by the storage network. The method further includes receiving an event analysis request and filtering the event information based on the event analysis request. The method also includes identifying based on the event analysis request, one or more event record entries of the event information and generating a representation of the identified event record entries. Based on the representation of the identified event record entries, a determination is made to initiate a corrective action in the storage network. In an example, the event record entries relate to user access operations or system administrative operations initiated by a device affiliated with the storage network.

Abstract: Preventing applications from overconsuming shared storage resources, including: identifying one or more sub-regions of data stored on a storage device that are associated with an application of a known application type; compiling information describing the application's utilization of a storage system; determining that a storage system objective has not been met; and initiating, based on the information describing the application's utilization of the storage system, remediation actions.

Abstract: Managing database systems using human-readable declarative definitions, including reading, by a database development tool, a declarative expression for at least part of a database; identifying, by the database development tool, a first database platform including a native database language; and generating, by the database development tool, in dependence upon the declarative expression and the first database platform, a first set of native database language statements defining at least a portion of the database.

Abstract: An example method for prioritizing deployment of nodes in a cluster comprises: determining, at a first time and by a first node of a plurality of nodes in a cluster of a distributed storage system, that a second node having a higher priority than the first node is in a startup phase of the second node; determining, at a second time subsequent to the first time and by the first node, that the second node has completed the startup phase of the second node; and initiating, based on the determining that the second node has completed the startup phase and by the first node, a startup phase of the first node.