Abstract: Systems and methods are provided for context-aware maintenance window identification. In some embodiments, an Information Handling System (IHS) may include a processor and a memory coupled to the processor, the memory having program instructions stored thereon that, upon execution, cause the IHS to: estimate a completion time of a maintenance operation; predict future usage of the IHS; identify a time window for the maintenance operation based upon the estimation and the prediction.

Abstract: One example method includes telemetry based state transition and prediction. Telemetry data is used to generate a transition matrix. The transition matrix is used to predict a state transition for a system or an application. A log level is predictively adjusted based on the transition matrix. The telemetry data is thus adaptively collected based on predicted transitions.

Abstract: A method for managing information handling system updates includes identifying topological groups within a managed domain of information handling system devices and identifying one or more homogeneous subgroups, each of which corresponds to a single device type, within each of the identified topological groups. Device updates may then be performed for the managed domain based on the homogeneous subgroups. All instances of a particular device type within the managed domain are updated by performing subgroup-aware update operations that include transmitting a single update image for the particular device type to each topological group that includes a homogeneous subgroup corresponding to the particular device type. The single update image is then distributed to each instance of the particular device type within the topologic group.

Abstract: A method for managing updates of a data manager includes: obtaining a service call graph where the service call graph includes services grouped into service sub-trees and specifies a service hierarchy between the services; identifying the service sub-trees of the service call graph; identifying, using the service hierarchy, independent services among the services of the service call graph; generating, based on identifying the service sub-trees and the independent services, an update sequence for the services; predicting, using the update sequence and the services, an update window for the service sub-trees; and initiating an update of the services using the prediction of the update window.

Abstract: Techniques described herein relate to a method for deploying workflows with data management services. The method may include identifying a service update event; identifying a service sub-tree based on a service call graph; generating an update sequence for the service sub-tree; predicting an update window for the service sub-tree using a final estimated updated completion time for the service, wherein the final estimated updated completion time is based on a risk profile; selecting a first service of the service sub-tree based on the update sequence, wherein the first service includes a first standby service instance and a first active service instance; generating a backup of a first portion of a services shared data volume repository associated with the first service; and applying an update to the first standby service instance to obtain a first updated active service instance.

Abstract: Techniques described herein relate to a method for deploying workflows with data management services. The method may include identifying a service update event; identifying a service sub-tree based on a service call graph; generating an update sequence for the service sub-tree; predicting an update window for the service sub-tree using a final estimated updated completion time for the service, wherein the final estimated updated completion time is based on a risk profile; selecting a first service of the service sub-tree based on the update sequence, wherein the first service includes a first standby service instance and a first active service instance; generating a backup of a first portion of a services shared data volume repository associated with the first service; and applying an update to the first standby service instance to obtain a first updated active service instance.

Abstract: A method for managing updates of a data manager includes: obtaining a service call graph where the service call graph includes services grouped into service sub-trees and specifies a service hierarchy between the services; identifying the service sub-trees of the service call graph; identifying, using the service hierarchy, independent services among the services of the service call graph; generating, based on identifying the service sub-trees and the independent services, an update sequence for the services; predicting, using the update sequence and the services, an update window for the service sub-trees; and initiating an update of the services using the prediction of the update window.

Abstract: A system for data processing, comprising a plurality of data center nodes, each data center node having an associated power requirement. A dynamic power capping system operating on a processor and coupled to the plurality of data center nodes, wherein the processor is configured by the dynamic power capping system to implement one or more algorithms that cause the processor to determine a power requirement for each of the plurality of data center nodes and to implement a power setting at each of the plurality of data center nodes that corresponds to the power requirement for the data center node.

Abstract: Techniques described herein relate to a method for deploying workflows with data management services. The method may include identifying a service update event; identifying a service sub-tree based on a service call graph; generating an update sequence for the service sub-tree; predicting an update window for the service sub-tree; selecting a first service of the service sub-tree based on the update sequence, wherein the first service includes a first standby service instance and a first active service instance; generating a backup of a first portion of a services shared data volume repository associated with the first service; applying an update to the first standby service instance to obtain a first updated active service instance; making a first determination that a first performance and reliability check associated with the first updated active service instance is below a threshold; applying the update to a second standby service instance.

Abstract: A system for data processing, comprising a plurality of data center nodes, each data center node having an associated power requirement. A dynamic power capping system operating on a processor and coupled to the plurality of data center nodes, wherein the processor is configured by the dynamic power capping system to implement one or more algorithms that cause the processor to determine a power requirement for each of the plurality of data center nodes and to implement a power setting at each of the plurality of data center nodes that corresponds to the power requirement for the data center node.

Abstract: Systems and methods are provided for context-aware maintenance window identification. In some embodiments, an Information Handling System (IHS) may include a processor and a memory coupled to the processor, the memory having program instructions stored thereon that, upon execution, cause the IHS to: estimate a completion time of a maintenance operation; predict future usage of the IHS; identify a time window for the maintenance operation based upon the estimation and the prediction.