Pure Storage, Inc.

Aditya Dani

Naveen Revanna

Kshithij Iyer

Piyush Nimbalkar

Luis Pablo Pabón

Madanagopal Arunachalam

Dhruv Bhatnagar

An example method for automated elastic resource management of a container system by a storage system comprises providing, by a container storage management system, a volume for use by a containerized application of a container system, the volume deployed on a node of the container system; analyzing, by the container storage management system, input/output (I/O) operations to the volume based on historical I/O operations; and directing, by the container storage management system and based on the analyzing the I/O operations based on the historical I/O operations, the container system to adjust a capacity of a resource associated with the node.

Automated elastic resource management of a container system by a distributed storage system

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.

Prioritized deployment of nodes in a distributed storage system

An example method for dynamic determination of locks for prioritized deployment in a distributed storage system comprises providing, by a storage management system, N locks to a cluster of a distributed storage system, the cluster including a plurality of nodes and the N locks allowing N nodes of the plurality of nodes to each initiate a startup phase during a first time window, wherein N is a number greater than zero; tracking, by the storage management system, application programming interface (API) calls made by the N nodes to a platform of the cluster during the first time window; and providing, by the storage management system based on the tracking, M locks to the cluster, the M locks allowing M nodes of the plurality of nodes to each initiate a startup phase during a second time window subsequent to the first time window, wherein M is a number greater than zero.

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San Jose, CA, United States of America

Aditya Dani