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Microservices change management and analytics

專利號
US11175947B2
公開日期
2021-11-16
申請人
INTERNATIONAL BUSINESS MACHINES CORPORATION(US NY Armonk)
發(fā)明人
Selcuk Nedim Oezmen; Clea Anne Zolotow; Ulrike Vauth
IPC分類
G06F21/57; G06F8/76; G06F9/448; G06F9/48; G06F11/14; G06F11/07; G06F9/54; G06F9/46; G06F11/36
技術(shù)領(lǐng)域
invocation,or,matrix,network,computer,in,cloud,process,computing,system
地域: NY NY Armonk

摘要

Managing microservice changes and performing related analytics can include generating a plurality of process instance representations. Each process instance representation can be generated based on a corresponding process path that comprises an ordered sequence of operations that are performed by a process using multiple microservices. A microservices network representation can be constructed based on the plurality of process instance representations, each element of the microservices network corresponding to an interface between a pair of the microservices. Based on the microservices network representation, a relative frequency can be determined for each of the microservices, each relative frequency corresponding to a likelihood that a change in a microservice will affect the performance of at least one process using at least one of the microservices.

說明書

Relative frequency matrix 214 provides another analytic. The higher the non-zero value within a cell of the matrix, the greater the relative importance of the microservice corresponding to that cell's row and the microservice corresponding to that cell's column. For example, the highest cell value of relative frequency matrix 214 is in row 4, column 2. The next highest value is in row 5, column 6. Accordingly, in the event of an error or failure of one or more of processes 200, 204, and 208, microservice MS4 and microservice MS2, as well as the interfaces between the microservices, should be considered first by a DevOps team. Microservices MS5 and MS6, and the microservices interface, should be considered next. The analytics provided by analyzer 114 can thus guide a DevOps team in seeking to determine whether, and if so, which changes or modifications to one or more microservices is the source of a process's failure or sub-par performance of the network of microservices.

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