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Article . 2022
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2022
License: CC BY
Data sources: Datacite
ZENODO
Article . 2022
License: CC BY
Data sources: Datacite
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A Review Of DevOps Automation Tools And Practices

Authors: Ifeoma Obi;

A Review Of DevOps Automation Tools And Practices

Abstract

DevOps has emerged as a transformative approach in modern software development, emphasizing collaboration, automation, and continuous delivery to improve the speed and quality of application deployment. Automation tools play a crucial role in enabling DevOps practices by streamlining processes such as code integration, testing, deployment, and infrastructure management. This review provides a comprehensive analysis of widely used DevOps automation tools and practices, including continuous integration and continuous deployment pipelines, configuration management, containerization, and orchestration. Tools such as Jenkins, GitHub Actions, Docker, Kubernetes, Ansible, and Terraform are examined in terms of their functionality and impact on development workflows. The study also explores key DevOps practices such as infrastructure as code, automated testing, monitoring, and feedback loops that enhance system reliability and efficiency. Challenges such as tool integration, security concerns, and cultural adoption are discussed along with potential solutions. The findings highlight that effective use of DevOps automation tools significantly improves development agility, reduces deployment time, and enhances overall system performance.

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    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).
    0
    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.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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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!
0
Average
Average
Average