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:
Mar. 25, 2025

Filed:

Aug. 19, 2022
Applicant:

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

Inventors:

Srinivasan Manoharan, San Jose, CA (US);

Vinesh Chirakkil, San Jose, CA (US);

Yuehao Wu, Cupertino, CA (US);

Junhua Zhao, Sunnyvale, CA (US);

Xiaoying Han, San Jose, CA (US);

Chun Kiat Ho, Singapore, SG;

Premila Viswanathan, Dublin, CA (US);

Lin Song, Singapore, SG;

Assignee:

PAYPAL, INC., San Jose, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 8/61 (2018.01); G06F 8/41 (2018.01); G06F 9/455 (2018.01);
U.S. Cl.
CPC ...
G06F 8/61 (2013.01); G06F 8/41 (2013.01); G06F 9/45558 (2013.01); G06F 2009/45562 (2013.01); G06F 2009/45591 (2013.01);
Abstract

Methods and systems are presented for providing a container orchestration framework for facilitating development and deployment of software applications across different operating environments within an enterprise system. Upon receiving a service request for processing a set of data is received, the container orchestration framework determines one or more machines that store the set of data. Instead of processing the set of data remotely, the container orchestration framework deploys a container that encapsulates an application on the one or more machines. Each application instance running on the one or more machines are executed to process a corresponding subset of data stored on the machine locally. The container orchestration framework obtains the output data from executing the applications on each of the one or more machines, and present the output data as a response to the service request.


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