How is Performance Addressed in DevOps?
How is Performance Addressed in DevOps?
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DevOps 中如何解决性能问题？
DOI：
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发表时间：
2018
期刊：
影响因子：
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通讯作者：
Felix Willnecker
中科院分区：
文献类型：
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作者：
C. Bezemer;Simon Eismann;Vincenzo Ferme;Johannes Grohmann;R. Heinrich;Pooyan Jamshidi;Weiyi Shang;A. Hoorn;M. Villavicencio;J. Walter;Felix Willnecker
DevOps 是一种现代软件工程范例，在业界得到广泛采用。 DevOps 的目标是以高频率和快速反馈周期将软件变更投入生产。这与软件质量保证活动相冲突，特别是在性能方面。例如，性能评估活动（例如负载测试）需要大量时间才能获得具有统计意义的结果。我们进行了一项行业调查，以深入了解如何在工业 DevOps 设置中解决性能问题。我们特别对执行性能评估的频率、所使用的工具、获得的性能数据的粒度以及基于模型的技术的使用感兴趣。来自不同行业领域的众多参与者的调查回复表明，性能工程方法和工具的复杂性是 DevOps 中广泛采用性能分析的障碍。我们的结果表明，性能分析工具需要有较短的学习曲线，并且应该易于集成到 DevOps 管道中，以便被从业者采用。
DevOps is a modern software engineering paradigm that is gaining widespread adoption in industry. The goal of DevOps is to bring software changes into production with a high frequency and fast feedback cycles. This conflicts with software quality assurance activities, particularly with respect to performance. For instance, performance evaluation activities --- such as load testing --- require a considerable amount of time to get statistically significant results. We conducted an industrial survey to get insights into how performance is addressed in industrial DevOps settings. In particular, we were interested in the frequency of executing performance evaluations, the tools being used, the granularity of the obtained performance data, and the use of model-based techniques. The survey responses, which come from a wide variety of participants from different industry sectors, indicate that the complexity of performance engineering approaches and tools is a barrier for wide-spread adoption of performance analysis in DevOps. The implication of our results is that performance analysis tools need to have a short learning curve, and should be easy to integrate into the DevOps pipeline in order to be adopted by practitioners.