我的服务老了!Kubernetes能应对微服务的老化吗?

José Flora, Paulo Gonçalves, Miguel Teixeira, Nuno Antunes
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引用次数: 4

摘要

基于微服务的应用程序的爆炸式流行正促使企业采用微服务以及云服务来支持它们。容器是常见的部署基础设施,目前每天为数百万客户提供服务,使用监视、管理和自动化大部分工作的编排平台进行管理。然而,对于这些工具的开发人员提出的声明,存在多种担忧。本文在评估Kubernetes检测微服务老化能力的同时,研究了老化对微服务的影响以及利用故障加速老化效应。我们考虑了一个典型的基于微服务的系统的三种操作场景,通过利用压力测试和故障注入作为一种增强系统服务老化的方式来评估Kubernetes机制检测老化的能力。结果表明,尽管随着资源消耗的增加,一些服务会积累老化效应,但Kubernetes并没有检测到它们,也没有对它们采取行动,这表明探测机制可能不足以应对老化场景。这一因素可能表明需要更有效的机制,能够及早发现老龄化,并以更主动的方式对其采取行动,而不要求服务部门变得无动于衷。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
My Services Got Old! Can Kubernetes Handle the Aging of Microservices?
The exploding popularity of microservice based applications is taking companies to adopt them along with cloud services to support them. Containers are the common deployment infrastructures that currently serve millions of customers daily, being managed using orchestration platforms that monitor, manage, and automate most of the work. However, there are multiple concerns with the claims put forward by the developers of such tools. In this paper, we study the effects of aging in microservices and the utilization of faults to accelerate aging effects while evaluating the capacity of Kubernetes to detect microservice aging. We consider three operation scenarios for a representative microservice-based system through the utilization of stress testing and fault injection as a manner to potentiate aging in the services composing the system to evaluate the capacity of Kubernetes mechanisms to detect it. The results demonstrate that even though some services tend to accumulate aging effects, with increasing resource consumption, Kubernetes does not detect them nor acts on them, which indicates that the probe mechanisms may be insufficient for aging scenarios. This factor may indicate the necessity for more effective mechanisms, capable of detecting aging early on and act on it in a more proactive manner without requiring the services to become unresponsive.
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