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DevOps dashboard

Authors: Bruno, Francisco João Lúcio;

DevOps dashboard

Abstract

DevOps stands for development and operations. DevOps is a culture that empowers both development and operations teams to reduce time to market, make incremental improvements in response to changing conditions, and create a more efficient development process. Software development and delivery is a very complex practice, and managing it is even harder. Any kind of system or process needs to gather data and metrics to understand how it is performing. Understandably, measuring is essential in creating valuable software. However, measuring software is not easy and has been a problem for several organizations. There is the notion of utilizing a dashboard to ease the way DevOps teams interact and respond to data collected from systems to aid stakholders measure and monitor. The Design Science Research (DSR) methodology was chosen to build an artefact – the DevOps dashboard - and evaluate its value to the DevOps community. Several versions of the artifact were developed as part of an improvement process, with each iteration validated through interviews. It was identified that the dashboards generally accessible in the DevOps community are extremely specialized and lack a broader perspective of the entire ecosystem to help stakeholders in decision-making. The contribution of this research is the developed dashboard that allows more significant monitoring of a DevOps system employing metric categories that follow visualization best practices to improve user experience and impact the user decision process positively.

DevOps é uma cultura que combina desenvolvimento e operação e que tem como principais objectivos reduzir o tempo de chegada ao mercado, fazer mudanças incrementais em resposta à mudança das condições, e construir um processo de desenvolvimento mais racionalizado. DevOps é adotado em todo o mundo, e com a adoção em massa, vêm as diferentes implementações e padronizações. Contudo o software responsável por agregar métricas não é de fácil implementação a nível de negócio e tem sido um problema para várias organizações. Com o intuito de medir e monitorizar software, existe a premissa de utilizar um painel de maneira a simplificar a forma como o DevOps pode interagir com as métricas. Esta tese centra-se no desenvolvimento de um painel de DevOps focado nas boas praticas de visualização com o objetivo principal de apoiar as equipas DevOps na tomada de decisões. A fim de continuar a desenvolver o painel, foi escolhida a metodologia Design Science Research (DSR) com o objectivo de construir um artefacto e o avaliar. Foi identificado que os dashboards utilizados na comunidade DevOps carecem de uma perspectiva mais ampla de todo o ecossistema de forma ajudar as partes interessadas na tomada de decisões. A contribuição desta investigação é o painel de DevOps que monitoriza um sistema de DevOps, que segue as melhores praticas de visualização, utilizando categorias de métricas de maneira a mais facilmente navegar e interpretar os dados, a fim de melhorar a experiência do utilizador e tomada de decisão.

Country
Portugal
Keywords

Métricas de DevOps, Domínio/Área Científica::Ciências Sociais::Economia e Gestão, DevOps dashboard, DevOps metrics, :Engenharia e Tecnologia::Outras Engenharias e Tecnologias [Domínio/Área Científica], DevOps KPI, Domínio/Área Científica::Engenharia e Tecnologia::Outras Engenharias e Tecnologias, Painel de DevOps, :Ciências Sociais::Economia e Gestão [Domínio/Área Científica]

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visibility
download
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
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