Toward unified DevOps model

Wahaballa, Abubaker; Wahballa, Osman; Abdellatief, Majdi; Hu, Xiong; Qin, Zhiguang

doi:10.1109/icsess.2015.7339039

Cited by 25 publications

(13 citation statements)

References 6 publications

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“…Although tailoring of software methods to suit specific organisational need is common practice [23], and it is argued that organisations should choose their own approach to DevOps, the ambiguity and conflicts in the description of DevOps has resulted in uncertainty of how to effectively implement the concept [24] [15] [4]. A road-map for the standardisation of DevOps terminologies and practices was presented in [25]. [15] carried out both a SLR and qualitative study of DevOps application in practice based on data from six organisation.…”

Section: The Nature Of Devopsmentioning

confidence: 99%

An Empirical Taxonomy of DevOps in Practice

Macarthy

Bass

2020

2020 46th Euromicro Conference on Software Engineering and Advanced Applications (SEAA)

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Section: The Nature Of Devopsmentioning

confidence: 99%

An Empirical Taxonomy of DevOps in Practice

Macarthy

Bass

2020

2020 46th Euromicro Conference on Software Engineering and Advanced Applications (SEAA)

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“…According to [9],fast and continuous feedback from operations to development is one of these fundamental practices. This means to créate short feedback loops that enable detect errors or weaknesses of systems in production and correct them quickly in a continuous improvement cycle [28], [29]. Balaile et al [30] identified "continuous monitoring" as a critical DevOps practice that provides developers with performance-related feedback and facilitates detecting any operational anomalies.…”

Section: B Why Is Devops Important For Iot?mentioning

confidence: 99%

DevOps for IoT Systems: Fast and Continuous Monitoring Feedback of System Availability

Lopez-Pena

Díaz

Pérez

et al. 2020

IEEE Internet Things J.

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Internet-of-Things (IoT) systems are highly distributed systems, which intégrate cloud, fog, and edge computing approaches. Accelerating their maintenance and continuous improvement, while ensuring their availability, is complex. DevOps promotes fast and continuous feedback from operations to development to detect problems before customers are impacted, among other beneflts. However, there is not any formal deflnition of how to do this. This article defines the "fast and continuous monitoring feedback of system availability" activity (F&CF availability) that supports automatic and continuous monitoring feedback from operations to the development of the IoT system availability. This activity has been formalized through the software and systems process engineering metamodel (SPEM). Its implementation is demonstrated in a real scenario that provides evidence that the formalization of the F&CF availability activity helps teams in better diagnosing and fixing outage problems. The result is a distributed and configurable monitoring component developed through code [monitoring as code (MaC)]. This component is embedded in the IoT infrastructure. MaC enables DevOps team to configure their own metrics and indicators at runtime, i.e., monitoring on demand. The formalization of this activity, based on an MaC technique, enables the automation, versioning, and replication of monitoring elements.

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“…Development side of code, build and test, operational side of release, deploy, operate and monitor will undergo simultaneously; here time is reduced. There are many DevOps tools such as Jira, git, puppet, ansible, eclipse, maven, gradle, JUnit, Jenking, sensu and Azure provides access to all these tools [7].…”

Section: Azure Working Mechanismmentioning

confidence: 99%

The Dynamic Computational Model and the New Era of Cloud Computation Using Microsoft Azure

2020

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The new era of computation has given new directions for advancement and sophistication. The meaning of computation has made a paradigm shift from device and location orientation to the distributed level. Storage has become cheaper. Multiple technologies and their interconnections and their wide range of services have made this planet to be more sophisticated and more flexible in computing. Service orientation based computing of cloud has achieved a huge success. Data centers has already existing even before the emergence of cloud technology, but cloud makes these data centers to communicate, between these data centers and allocate the resources properly and functioning appropriately using a network and to used these resources and maintain them properly. Most of the cloud services providers have their own Data center. 'Azure' online cloud platform provided Microsoft provides cloud services and resources to the end-user. Its pricing mechanism is economical and flexible. One can learn Azure very easily and Micro soft company provides Azure certifications for the one who qualifies with international standards.

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Toward unified DevOps model

Cited by 25 publications

References 6 publications

An Empirical Taxonomy of DevOps in Practice

An Empirical Taxonomy of DevOps in Practice

DevOps for IoT Systems: Fast and Continuous Monitoring Feedback of System Availability

The Dynamic Computational Model and the New Era of Cloud Computation Using Microsoft Azure

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