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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

Based on the comparisons, analyzer 114 can generate analytics to assess the likely effects of changes in or modifications to a network of microservices and/or individual processes that use one or more of the microservices. For example, analyzer 114 can perform a matrix subtraction to subtract a proposed microservices network structure from a current version, which can identify for a DevOps team the specific microservices and/or interfaces between microservice pairs that are most likely to affect the network's or an individual process's performance or dynamic behavior. Analyzer 114 can use the same procedure if a process, newly updated by a change in or modification to one or more microservices, fails to perform properly. Analyzer 114 can identify for the DevOps team the microservice that most likely needs to be rolled back in order to bring the process back to a “normal” or “well-functioning” state. Algorithmic aspects of the procedures for assessing the effects of changes to microservices are described in the context of the following examples. Although described for ease of presentation and without loss of generality in the context of asynchronous process instances (e.g., messages), it is noted that the procedures are equally applicable with respect synchronous process instances (e.g., RESTful-APIs).

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