Comparative Study of Virtual Machines and Containers for DevOps Developers

TL;DR

This paper provides a comprehensive comparison of virtual machines and containers, analyzing their architecture, performance, security, and resource use to guide DevOps developers in selecting the appropriate technology.

Contribution

It offers an in-depth experimental analysis and practical recommendations for choosing between VMs and containers based on specific DevOps needs.

Findings

Containers have faster startup times than VMs.

VMs generally offer better security isolation.

Resource utilization varies significantly between the two technologies.

Abstract

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.