A Black-box Monitoring Approach to Measure Microservices Runtime Performance

被引:18
|
作者
Brondolin, Rolando [1 ]
Santambrogio, Marco D. [1 ]
机构
[1] Politecn Milan, Piazza Leonardo da Vinci 32, I-20133 Milan, Italy
关键词
Microservices; power attribution; performance monitoring; network performance monitoring; docker; kubernetes; cloud computing;
D O I
10.1145/3418899
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
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 line-grain accurate metrics.
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页数:26
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