Architectural Support for DevOps in a Neo-Metropolis BDaaS Platform

Hong-Mei Chen, R. Kazman, Serge Haziyev, Valentyn Kropov, Dmitri Chtchourov
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引用次数: 21

Abstract

Big data as a Service (BDaaS) provides a viable strategy for organizations to implement scalable, tailorable big data infrastructure and applications built on this infrastructure. New trends in the BDaaS market are moving toward an open world model -- what we call the Neo-Metropolis model -- for developing BDaaS platforms. The key to the success of such large-scale technology-agnostic platforms, we posit, is an architectural strategy revolving around microservices and DevOps. This article presents the results of an action research with a Neo-Metropolis BDaaS vendor and illustrates how architectural support for DevOps is critical in achieving desired system qualities and enabling platform success. This research contributes to illuminate best practices of DevOps, and to validate and augment a set of DevOps tactics previously developed, while adding and recategorizing new instances of well-established architectural tactics.
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新城BDaaS平台中DevOps的体系结构支持
大数据即服务(BDaaS)为组织实现可扩展、可定制的大数据基础设施和构建在此基础设施上的应用程序提供了可行的策略。BDaaS市场的新趋势是朝着开放世界模式——我们称之为新大都市模式——发展BDaaS平台。我们认为,这种与技术无关的大型平台成功的关键是围绕微服务和DevOps的架构策略。本文介绍了对Neo-Metropolis BDaaS供应商进行的行动研究的结果,并说明了DevOps的架构支持在实现所需的系统质量和实现平台成功方面是如何至关重要的。这项研究有助于阐明DevOps的最佳实践,并验证和扩充先前开发的DevOps策略集,同时添加和重新分类已建立的架构策略的新实例。
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