This paper presents a comparative study of virtual machines (VMs) and containers for DevOps developers. The study explores the benefits and drawbacks of each technology in terms of their functionality, performance, security, and resource utilization. The paper examines the underlying architecture of VMs and containers, and how they differ from each other. The study includes a series of experiments that compare the performance and resource utilization of VMs and containers in different scenarios. The experiments evaluate factors such as startup time, memory usage, disk I/O, network latency, scalability, and administrative overhead. Finally, the paper provides recommendations for DevOps developers on which technology to choose based on their specific requirements and use cases. Overall, the study aims to provide a comprehensive understanding of the strengths and limitations of VMs and containers, helping developers to make informed decisions when choosing between them.

翻译：本文针对DevOps开发人员，对虚拟机与容器进行了比较研究。研究从功能性、性能、安全性和资源利用率等方面，探讨了两种技术的优缺点。论文考察了虚拟机与容器的底层架构及其相互差异。研究包含一系列实验，在不同场景下对比了虚拟机与容器的性能和资源利用率。实验评估了启动时间、内存使用、磁盘I/O、网络延迟、可扩展性及管理开销等因素。最后，论文基于DevOps开发人员的具体需求和用例，为其提供了关于如何选择技术的建议。总体而言，本研究旨在全面理解虚拟机与容器的优势与局限，帮助开发人员在两者之间做出明智的决策。