公开(公告)号：US11853448B1

公开(公告)日：2023-12-26

申请号：US18161966

申请日：2023-01-31

Applicant: INTUIT INC.

Inventor： Ranadeep Bhuyan ,  Steven Michael Saxon ,  Aminish Sharma

IPC: G06F11/00 ,  G06F21/62 ,  G06F11/07 ,  G06F11/34

CPC classification number: G06F21/6218 ,  G06F11/0793 ,  G06F11/3452

Abstract: The present disclosure provides techniques for recommending vendors using machine learning models. One example method includes generating a dependency graph based on one or more microservices, computing, for each microservice of the one or more microservices, a complexity score using the dependency graph, identifying a subset of the one or more microservices, wherein each microservice in the subset of the one or more microservices has a complexity score meeting a threshold value, and applying a transactional lock on each microservice in the subset of the one or more microservices.

公开(公告)号：US11736580B1

公开(公告)日：2023-08-22

申请号：US18161976

申请日：2023-01-31

Applicant: INTUIT INC.

Inventor： Ranadeep Bhuyan ,  Steven Michael Saxon ,  Aminish Sharma

IPC: H04L29/08 ,  H04L67/51 ,  H04L41/16

CPC classification number: H04L67/51 ,  H04L41/16

Abstract: The present disclosure provides techniques for recommending vendors using machine learning models. One example method includes generating a dependency graph based on one or more microservices in a transaction, wherein each node of the dependency graph corresponds to each microservice of the one or more microservices in the transaction, respectively, generating a first set of features using the dependency graph, predicting a first set of nodes that are likely to fail using a first machine learning model based on the first set of features, generating a second set of features using the dependency graph, predicting a second set of nodes that are likely to fail using a second machine learning model based on the second set of features, and applying one or more fixes to one or more microservices based on a combination of the first set of nodes and the second set of nodes.