公开(公告)号：US10824462B2

公开(公告)日：2020-11-03

申请号：US16358298

申请日：2019-03-19

Applicant: NETAPP, INC.

Inventor： Shankar Pasupathy ,  Maneesh Abraham ,  William Earl Taylor, Jr.

IPC: G06F9/455 ,  H04L29/08 ,  G06F9/451

Abstract: Methods and systems for a networked computing system are provided. One method includes deploying a micro-service associated with data stored by a networked storage system at a storage device, the micro-service deployed as a virtual machine of a cloud-based system having a data store, and an application programming interface (API) for providing analytic information associated with the data and resources of the networked storage system, where the cloud based system is accessible to a client system via a first network connection; processing performance data associated with the micro-service by a first computing system; storing the processed performance data for the micro-service at a storage volume accessible via a second network connection; copying the processed performance data at the data store by a data loader; and providing access to the processed performance data to the client system from the data store via the API and the first network connection.

公开(公告)号：US20200159557A1

公开(公告)日：2020-05-21

申请号：US16358298

申请日：2019-03-19

Applicant: NETAPP, INC.

Inventor： Shankar Pasupathy ,  Maneesh Abraham ,  William Earl Taylor, JR.

IPC: G06F9/455 ,  G06F9/451 ,  H04L29/08

Abstract: Methods and systems for a networked computing system are provided. One method includes deploying a micro-service associated with data stored by a networked storage system at a storage device, the micro-service deployed as a virtual machine of a cloud-based system having a data store, and an application programming interface (API) for providing analytic information associated with the data and resources of the networked storage system, where the cloud based system is accessible to a client system via a first network connection; processing performance data associated with the micro-service by a first computing system; storing the processed performance data for the micro-service at a storage volume accessible via a second network connection; copying the processed performance data at the data store by a data loader; and providing access to the processed performance data to the client system from the data store via the API and the first network connection.