Automated Deployment Pipelines for Enterprise Software Using Ansible with Linux Virtual Machines
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


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Informative Article | Engineering Science | India | Volume 9 Issue 10, October 2020 | Popularity: 5.8 / 10


     

Automated Deployment Pipelines for Enterprise Software Using Ansible with Linux Virtual Machines

Ratnangi Nirek


Abstract: Automated deployment pipelines are a crucial component of modern enterprise software development, enabling continuous integration and continuous delivery (CI/CD) practices that reduce time-to-market and improve software quality. This paper explores the implementation of automated deployment pipelines using Ansible in conjunction with Linux Virtual Machines (VMs). Ansible, an open-source automation tool, simplifies the deployment process by managing configurations and automating tasks across multiple servers. This research paper provides an in-depth analysis of Ansible's capabilities, focusing on its application in enterprise environments with Linux VMs. The paper outlines the methodology for setting up a robust deployment pipeline, highlights challenges faced during implementation, and discusses the results in terms of efficiency, scalability, and maintainability. The findings demonstrate that using Ansible with Linux VMs significantly streamlines deployment processes, offering a flexible and reliable solution for enterprise software deployment. Future work may explore extending this approach to hybrid cloud environments and integrating advanced monitoring and feedback mechanisms.


Keywords: Linux, CI/CD, Ansible, Automation


Edition: Volume 9 Issue 10, October 2020


Pages: 1825 - 1830


DOI: https://www.doi.org/10.21275/SR24923125911


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Ratnangi Nirek, "Automated Deployment Pipelines for Enterprise Software Using Ansible with Linux Virtual Machines ", International Journal of Science and Research (IJSR), Volume 9 Issue 10, October 2020, pp. 1825-1830, https://www.ijsr.net/getabstract.php?paperid=SR24923125911, DOI: https://www.doi.org/10.21275/SR24923125911

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