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:
Jan. 17, 2023

Filed:

Dec. 06, 2017
Applicant:

Lendingclub Corporation, San Francisco, CA (US);

Inventors:

Yana Nikitina, San Francisco, CA (US);

Igor Petrunya, Pleasant Hill, CA (US);

Assignee:

LENDINGCLUB CORPORATION, San Francisco, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 16/23 (2019.01); G06F 21/44 (2013.01); G06F 9/54 (2006.01); G06N 20/00 (2019.01); G06F 16/21 (2019.01); G06F 21/62 (2013.01);
U.S. Cl.
CPC ...
G06F 16/2379 (2019.01); G06F 9/547 (2013.01); G06F 16/219 (2019.01); G06F 16/2315 (2019.01); G06F 16/2358 (2019.01); G06F 16/2365 (2019.01); G06F 21/44 (2013.01); G06F 21/6227 (2013.01); G06N 20/00 (2019.01);
Abstract

Techniques a provided for performing multi-system operations in which changes are asynchronously committed in multiple systems. Metadata about the multi-system operation is injected into the commit logs of one system involved in a multi-system operation. An event stream is generated based on the commit logs of the one system, and is used to drive the operations that one or more other systems need to perform as part of the multi-system operation. A reconciliation system reads the logs of all systems involved in the multi-system operation and determines whether the multi-system operation completed successfully. Techniques are also provided for using machine learning to generate models of normal execution of different types of operations, detect anomalies, pre-emptively send expectation messages, and automatically suggest and/or apply fixes.


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