Netapp, Inc.

Wipro Limited

Prasad Srinivas

Anoop Chakkalakkal Vijayan

Balaji Ramani

Harsha Handral Sridhara

Rakshit Karnawat

Ganesh Marappa

Sudhakar Jha

Reshmi G

Vineeth Kumar T

Veena T S

Chinmoy Dey

Govindaraj Rangan

One or more techniques and/or systems are provided for managing configuration updates used to replicate configuration of a primary storage virtual machine to a partner storage virtual machine. For example, the partner storage virtual machine may be configured to provide failover operation in place of the primary storage virtual machine in the event the primary storage virtual machine fails. Configuration updates are queued and replayed on the partner storage virtual machine to replicate objects of the primary storage virtual machine to the partner storage virtual machine (e.g., replay of create, modify, or delete object commands for synchronizing volumes, logical unit numbers, and/or other configuration objects of the primary storage virtual machine to the partner storage virtual machine). Configuration updates may be retained, modified, or discarded/removed based upon consolidation rules, which improves computing resource utilization by consolidating configuration updates and/or removing stale configuration updates while achieving a similar replication consistency result.

Configuration update management

Methods, application placement management bot, and non-transitory computer readable media that obtain application meta data for a plurality of applications. The application meta data comprises application requirements and associated application attributes for each of the applications. A first subset of the application attributes is correlated with master attributes in a master attributes table based on a first set of keywords matching a stored second set of keywords mapped to the master attributes. The first set of keywords corresponds to one or more of the application requirements associated with the first subset of the application attributes. Rule set(s) are obtained that comprise customized rule(s) based on the master attributes. The rule set(s) are applied to the application meta data based on the correlation to determine a placement of each of the applications in at least one of a plurality of environments. An indication of the determined placement is output.

Methods for adaptive placement of applications and devices thereof

A method includes receiving a change in a primary configuration of a primary storage node while the primary storage node is operational, wherein primary data stored in the primary storage node is to be backed up as backup data in a backup storage node. The method includes locating at least one identifier in the change that identifies the primary storage node. The method includes replacing the at least one identifier in the change that identifies the primary storage node with an identification of the backup storage node to create an updated configuration change. The method includes updating a backup configuration of the backup storage node based on the updated configuration change.

Configuration replication across distributed storage systems

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Bengaluru, India

Prasad Srinivas