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Automatically tuning middleware in a mobilefirst platform running in a docker container infrastructure

机译:在docker容器基础架构中运行的mobilefirst平台中自动调整中间件

摘要

An approach is provided for tuning middleware. Performance-related settings are loaded. Performance data of the middleware of a MobileFirst Platform (MFP) running in a docker container infrastructure is received. The performance data is collected by agents installed in container groups. Based on the performance data, a performance issue in one of the container groups is identified and a server included in the one container group is identified as a source of the performance issue. Recommendations are generated for tuning the middleware by modifying one or more of the performance-related settings. While the middleware is running in the docker container infrastructure, one of the recommendations is applied to modify one of the performance-related settings which dynamically tunes the middleware, thereby resolving the performance issue.
机译:提供了一种用于调整中间件的方法。与性能相关的设置已加载。接收在Docker容器基础架构中运行的MobileFirst Platform(MFP)中间件的性能数据。性能数据由安装在容器组中的代理收集。基于性能数据,识别容器组之一中的性能问题,并将包含在一个容器组中的服务器识别为性能问题的来源。生成了通过修改一个或多个与性能相关的设置来优化中间件的建议。当中间件在Docker容器基础结构中运行时,建议中的一项将用于修改与性能相关的设置之一,以动态调整中间件,从而解决性能问题。

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