Towards Omnia: A Monitoring Factory for Quality-Aware DevOps

Marco Miglierina, D. Tamburri
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引用次数: 10

Abstract

Modern DevOps pipelines entail extreme automation and speed as paramount assets for continuous application improvement. Likewise, monitoring is required to assess the quality of service and user-experience such that applications can continuously evolve towards use-centric excellence. In this scenario however, it is increasingly difficult to pull up and maintain efficient monitoring infrastructures which are frictionless, i.e., they do not introduce any slowdown neither in the DevOps pipeline nor in the DevOps organizational and social structure comprising multiple roles and responsibilities. Using an experimental prototype, this paper elaborates Omnia an approach for structured monitoring configuration and rollout based around a monitoring factory, i.e., a re-interpretation of the factory design-pattern for building and managing ad-hoc monitoring platforms. Comparing with practitioner surveys and the state of the art, we observed that Omnia shows the promise of delivering an effective solution that tackles the steep learning curve and entry costs needed to embrace cloud monitoring and monitoring-based DevOps continuous improvement.
迈向Omnia:质量意识开发运维的监控工厂
现代DevOps管道需要高度的自动化和速度,作为持续应用程序改进的最重要资产。同样,需要监控来评估服务质量和用户体验,以便应用程序能够不断向以用户为中心的卓越发展。然而,在这种情况下,建立和维护有效的监控基础设施变得越来越困难,这些基础设施是无摩擦的,也就是说,它们既不会在DevOps管道中引入任何放缓,也不会在DevOps组织和社会结构中引入多个角色和责任。本文使用一个实验原型,详细阐述了Omnia一种基于监控工厂的结构化监控配置和部署方法,即重新解释工厂设计模式,用于构建和管理特设监控平台。与从业人员的调查和目前的现状相比,我们发现Omnia有望提供一个有效的解决方案,解决陡峭的学习曲线和入门成本,从而实现云监控和基于监控的DevOps持续改进。
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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