Microservices changed cloud computing by moving the applications’ complexity from one monolithic executable to thousands of network interactions between small components. Given the increasing deployment sizes, the architectural exploitation challenges, and the impact on data-centers’ power consumption, we need to efficiently track this complexity. Within this article, we propose a black-box monitoring approach to track microservices at scale, focusing on architectural metrics, power consumption, application performance, and network performance. The proposed approach is transparent w.r.t. the monitored applications, generates less overhead w.r.t. black-box approaches available in the state-of-the-art, and provides fine-grain accurate metrics.

中文翻译：

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衡量微服务运行时性能的黑盒监控方法

微服务通过将应用程序的复杂性从一个单一的可执行文件转移到小组件之间的数千个网络交互，从而改变了云计算。鉴于不断增加的部署规模、架构开发挑战以及对数据中心功耗的影响，我们需要有效地跟踪这种复杂性。在本文中，我们提出了一种黑盒监控方法来大规模跟踪微服务，重点关注架构指标、功耗、应用程序性能和网络性能。所提出的方法对受监控的应用程序是透明的，在现有技术中可用的黑盒方法产生的开销更少，并提供细粒度的准确指标。