Online Learning Platform for Application-Inspired Cloud and DevOps Curriculum

Songjie Wang, R. Neupane, Ashish Pandey, Xiyao Cheng, P. Calyam
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Abstract

Cloud-hosted services are being increasingly used in hosting business applications due to cost effectiveness, scalability, and ease of deployment. To facilitate rapid development, change and release process of cloud-hosted applications, the area of Development and Operations (DevOps) is fast evolving. It is necessary to train the future generation of application development professionals such that they are knowledgeable in the continuous integration and continuous delivery automation. In this paper, we present the design and development of our “Mizzou Cloud DevOps platform”, an online platform to learn cutting-edge Cloud and DevOps tools/technologies using open/public cloud infrastructures for wide adoption amongst instructors/students. Our learning platform features scalability, flexibility, and extend ability in providing Cloud and DevOps concepts knowledge and hands-on skills. We detail our “application-inspired learning” methodology that is based on integration of real-world application use cases in four learning modules that include laboratory exercises and self-study activities using realistic cloud/HPC-based application testbeds. We describe the learning modules that allow students to gain skills in using latest technologies (e.g., containerization, cluster and edge computing, data pipeline automation) to implement relevant security, monitoring, and adaptation mechanisms. Lastly, we evaluate our platform via a knowledge growth study survey with instructors and students.
应用启发的云和DevOps课程在线学习平台
由于成本效益、可伸缩性和易于部署,云托管服务越来越多地用于托管业务应用程序。为了促进云托管应用程序的快速开发、更改和发布过程,开发和运营(DevOps)领域正在快速发展。有必要培训未来一代的应用程序开发专业人员,使他们在持续集成和持续交付自动化方面知识渊博。在本文中,我们介绍了我们的“Mizzou Cloud DevOps平台”的设计和开发,这是一个在线平台,可以使用开放/公共云基础设施来学习尖端的云和DevOps工具/技术,以供教师/学生广泛采用。我们的学习平台在提供云和DevOps概念知识和实践技能方面具有可扩展性、灵活性和扩展能力。我们详细介绍了我们的“应用启发式学习”方法,该方法基于四个学习模块中的实际应用用例的集成,包括实验室练习和使用现实的基于云/ hpc的应用测试平台的自学活动。我们描述了学习模块,让学生获得使用最新技术(例如,容器化,集群和边缘计算,数据管道自动化)的技能,以实现相关的安全,监控和适应机制。最后,我们通过对教师和学生的知识增长研究调查来评估我们的平台。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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