The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Nov. 03, 2020

Filed:

Apr. 27, 2018
Applicant:

Nutanix, Inc, San Jose, CA (US);

Inventors:

Karan Gupta, San Jose, CA (US);

Amit Jain, San Jose, CA (US);

Avinash Manjaya Shetty, Palo Alto, CA (US);

Harry Hai Yang, Sunnyvale, CA (US);

Jie Li, San Jose, CA (US);

Krishna Ganti, Sunnyvale, CA (US);

Paul Michael Digioia, Livermore, CA (US);

Pavan Kumar Konka, Milpitas, CA (US);

Ranjan Parthasarathy, Milpitas, CA (US);

Yang Xiao, San Jose, CA (US);

Assignee:

Nutanix, Inc., San Jose, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 8/65 (2018.01); G06F 3/06 (2006.01); G06F 8/61 (2018.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
G06F 8/65 (2013.01); G06F 3/0607 (2013.01); G06F 3/067 (2013.01); G06F 3/0631 (2013.01); G06F 8/61 (2013.01); G06N 20/00 (2019.01);
Abstract

A method and apparatus for data driven and cluster specific version/update control. The apparatus includes an automated multi-clusters management apparatus that interfaces with a plurality of remote clusters to provide data driven version/update control on a cluster by cluster basis. Generally, operation includes collection/identification of cluster specific data pertaining to software, hardware, and cluster requirements. The cluster specific data is later compared/analyzed against multi-cluster data pertaining to software releases, hardware characteristics, and known bugs/issues for each. The results of the comparison/analysis can then be ranked according to various metrics to different possible solutions and to differentiate the less desirable results from the more desirable results. Thus, the automated multi-cluster management apparatus provides for selection of versions/updates that is dependent on the cluster specific data. Additionally, the present disclosure provides for scheduling and distribution planning for selected versions/updates.


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