Abstract: Configuring storage systems based on storage utilization patterns, including: determining, based on first data associated with a first workload type and second data associated with a second workload type, a first utilization pattern associated with the first workload type and a second utilization pattern associated with the second workload type; and modifying, based on the first utilization pattern and the second utilization pattern, one or more storage systems in a fleet of storage systems.

Abstract: Configuring storage systems based on storage utilization patterns, including: determining, based on first data associated with a first workload type and second data associated with a second workload type, a first utilization pattern associated with the first workload type and a second utilization pattern associated with the second workload type; and modifying, based on the first utilization pattern and the second utilization pattern, one or more storage systems in a fleet of storage systems.

Abstract: Multi-cloud orchestration as a service, including: receiving a provisioning request for one or more cloud computing resources; identifying, based on a first one or more metrics, a particular cloud computing environment from a plurality of cloud computing environments to satisfy the provisioning request; and provisioning, in the particular cloud computing environment, the one or more cloud computing resources.

Abstract: A system comprises a storage system comprising one or more storage devices and a storage controller operatively coupled to the storage system, the storage controller comprising a processing device, the processing device to receive first raw data from a first tenant of the storage system to a first non-volatile memory express (NVMe) input/output (I/O) queue of the storage system. The processing device further to determine that the first NVMe I/O queue corresponds to a first key, wherein the first key corresponds to the first tenant. The processing device further to encrypt the first raw data using the first key to generate first encrypted data. The processing device further to store the first encrypted data on the storage system.

Abstract: Configuring storage systems based on storage utilization patterns, including: determining, based on first data associated with a first workload type and second data associated with a second workload type, a first utilization pattern associated with the first workload type and a second utilization pattern associated with the second workload type; and modifying, based on the first utilization pattern and the second utilization pattern, one or more storage systems in a fleet of storage systems.

Abstract: Correlating medical sensor data includes: receiving, from a plurality of disparate medical sensors, sensor data for a patient; analyzing the sensor data, including identifying one or more correlations to one or more known patterns; and reporting the correlations.

Abstract: Multi-cloud orchestration as a service, including: receiving a provisioning request for one or more cloud computing resources; identifying, based on a first one or more metrics, a particular cloud computing environment from a plurality of cloud computing environments to satisfy the provisioning request; and provisioning, in the particular cloud computing environment, the one or more cloud computing resources.

Abstract: Methods, systems, and articles for receiving, by a monitor server, change data associated with a change captured on a target host, are described herein. In various embodiments, the target host may have provided the change data in response to detecting the change, and the change data may include one or more rules, settings, and/or parameters. Further, in some embodiments, the monitor server may then group the change data into clusters and may correlate the clusters with a change catalog in order to provide a possible reason or cause for the cluster of changes. Once the change data have been classified as clusters, a report may be generated providing classification or categorization and cluster information for the various changes. In various embodiments, the generating may comprise generating a report to the target host and/or to an administrative user. In various embodiments, a reason may be determined for causing a cluster of changes and the change catalog may updated with the reason.

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: Disclosed herein are methods, systems, and articles associated with remediation execution. In embodiments, a set of policy test failures may be selected for remediation. The set of policy test failures may be associated with a computer network with a number of nodes. For each failure within the set of policy test failures, a remediation script may be obtained to remediate a corresponding policy test failure. The remediation scripts may be selectively provided to nodes that are affected by policy test failures, for execution by the nodes. A remediation script result for each remediation script executed may be received. Based upon the remediation script results, it may be determined whether or not execution of the remediation scripts was successful.

Abstract: Disclosed herein are methods, systems, and articles associated with remediation workflow. A method may include determining one or more test failures related to a policy test within a computer network, and reviewing the one or more test failures. The method may further include, based upon a result of the reviewing, creating a remediation work order that includes at least one of the one or more test failures. Each test failure within the remediation work order may be approved or denied. For each test failure that is approved for remediation, a remediation process may be executed.

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: Methods, systems, and articles for receiving, by a monitor server, change data associated with a change captured on a target host, are described herein. In various embodiments, the target host may have provided the change data in response to detecting the change, and the change data may include one or more rules, settings, and/or parameters. Further, in some embodiments, the monitor server may then group the change data into clusters and may correlate the clusters with a change catalog in order to provide a possible reason or cause for the cluster of changes. Once the change data have been classified as clusters, a report may be generated providing classification or categorization and cluster information for the various changes. In various embodiments, the generating may comprise generating a report to the target host and/or to an administrative user. In various embodiments, a reason may be determined for causing a cluster of changes and the change catalog may updated with the reason.

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: Methods, systems, and articles for receiving, by a monitor server, change data associated with a change captured on a target host, are described herein. In various embodiments, the target host may have provided the change data in response to detecting the change, and the change data may include one or more rules, settings, and/or parameters. Further, in some embodiments, the monitor server may then group the change data into clusters and may correlate the clusters with a change catalog in order to provide a possible reason or cause for the cluster of changes. Once the change data have been classified as clusters, a report may be generated providing classification or categorization and cluster information for the various changes. In various embodiments, the generating may comprise generating a report to the target host and/or to an administrative user. In various embodiments, a reason may be determined for causing a cluster of changes and the change catalog may updated with the reason.

Abstract: Disclosed herein are methods, systems, and articles associated with remediation execution. In embodiments, a set of policy test failures may be selected for remediation. The set of policy test failures may be associated with a computer network with a number of nodes. For each failure within the set of policy test failures, a remediation script may be obtained to remediate a corresponding policy test failure. The remediation scripts may be selectively provided to nodes that are affected by policy test failures, for execution by the nodes. A remediation script result for each remediation script executed may be received. Based upon the remediation script results, it may be determined whether or not execution of the remediation scripts was successful.

Abstract: Disclosed herein are methods, systems, and articles associated with remediation workflow. A method may include determining one or more test failures related to a policy test within a computer network, and reviewing the one or more test failures. The method may further include, based upon a result of the reviewing, creating a remediation work order that includes at least one of the one or more test failures. Each test failure within the remediation work order may be approved or denied. For each test failure that is approved for remediation, a remediation process may be executed.

Abstract: Disclosed herein are methods, systems, and articles associated with correlating detected changes within a computer network with remediation processes performed in response to policy test failures. In embodiments, on determination that a failure of a policy test has occurred within a computer network having a number of nodes, a remediation process may be executed to remediate the failure. Change at a node may be detected. Further, the detected change may be correlated with the execution of the remediation process, and the correlation may be identified.

Abstract: Methods, systems, and articles for receiving, by a monitor server, change data associated with a change captured on a target host, are described herein. In various embodiments, the target host may have provided the change data in response to detecting the change, and the change data may include one or more rules, settings, and/or parameters. Further, in some embodiments, the monitor server may then group the change data into clusters and may correlate the clusters with a change catalog in order to provide a possible reason or cause for the cluster of changes. Once the change data have been classified as clusters, a report may be generated providing classification or categorization and cluster information for the various changes. In various embodiments, the generating may comprise generating a report to the target host and/or to an administrative user.