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     2026:7/2

International Journal of Multidisciplinary Research and Growth Evaluation

ISSN: (Print) | 2582-7138 (Online) | Impact Factor: 9.54 | Open Access

A Cloud-Driven CI/CD Automation Model Using Jenkins, GitHub Actions, and Infrastructure-as-Code Tools

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Abstract

Continuous Integration and Continuous Deployment (CI/CD) have become critical enablers of software agility and reliability in modern cloud-native ecosystems. This review explores a cloud-driven CI/CD automation model that integrates Jenkins, GitHub Actions, and Infrastructure-as-Code (IaC) tools such as Terraform and Ansible to achieve scalable, automated, and reproducible software delivery pipelines. The study emphasizes the synergy between these technologies in enhancing workflow orchestration, minimizing human error, and enabling rapid provisioning of development, testing, and production environments. Jenkins offers a robust, extensible automation framework, while GitHub Actions facilitates event-driven pipelines within the code repository, reducing integration complexity. When coupled with IaC, these systems provide immutable infrastructure, ensuring consistency across cloud deployments and enabling rapid rollback or recovery in case of failures. The paper further reviews comparative performance metrics, best practices for pipeline optimization, and security mechanisms for protecting build artifacts and credentials in hybrid and multi-cloud architectures. The discussion concludes with insights into emerging trends such as AI-assisted CI/CD, container-native pipelines, and policy-as-code integrations for compliance. This integrated review highlights the transformative potential of combining automation, cloud orchestration, and infrastructure management to achieve sustainable DevOps maturity in digital enterprises.

How to Cite This Article

Jolly I Ogbole, Odunayo Mercy Babatope, Winner Mayo, David Adedayo Akokodaripon (2022). A Cloud-Driven CI/CD Automation Model Using Jenkins, GitHub Actions, and Infrastructure-as-Code Tools . International Journal of Multidisciplinary Research and Growth Evaluation (IJMRGE), 3(6), 935-948. DOI: https://doi.org/10.54660/.IJMRGE.2022.3.6.935-948

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