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：本文对虚拟机和容器进行了功能、性能、安全性和资源利用方面的比较研究，并探究了它们各自下层架构之间的差异。本研究包括了一系列实验，比较了不同场景下虚拟机和容器的性能和资源利用率，并评估了启动时间、内存使用、磁盘I/O、网络延迟、可扩展性和管理开销等因素。最后，本文为DevOps开发人员提供了基于特定需求和用例选择技术的建议。总体而言，本研究旨在全面了解虚拟机和容器的优劣势，帮助开发人员在二者之间做出明智的选择。