Automation in Cloud-Based DevOps: A Guide to CI/CD Pipelines and Infrastructure as Code (IaC) with Terraform and Jenkins

This study offers a comprehensive analysis of automation in cloud-based DevOps, focusing on the role of Continuous Integration/Continuous Delivery (CI/CD) pipelines and Infrastructure as Code (IaC) in streamlining software development processes. Employing tools like Jenkins and Terraform, the research aims to demonstrate how automation can significantly enhance operational efficiency, scalability, and security in cloud deployments. Through a detailed examination of CI/CD components and their integration with IaC, this paper identifies key findings, including the reduction of manual errors, improved deployment consistency across environments, and enhanced security through DevSecOps practices. The study further explores challenges such as configuration complexity and compliance, proposing best practices like proactive monitoring, encrypted secrets management, and version control to mitigate these issues. Conclusively, the research recommends the adoption of AI-driven analytics and robust security frameworks to optimize cloud-based CI/CD automation. This work not only highlights current methodologies but also anticipates future trends, providing a strategic roadmap for organizations aiming to leverage DevOps automation effectively.

Authors

Publication Details

Journal
World Journal of Advanced Engineering Technology and Sciences
Published
2024-11-11
DOI
https://doi.org/10.30574/wjaets.2024.13.2.0542
Citations
1
Primary Topic
Cloud Computing and Resource Management
Type
article
Field-Weighted Citation Impact
0.78
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Automation in Cloud-Based DevOps: A Guide to CI/CD Pipelines and Infrastructure as Code (IaC) with Terraform and Jenkins

David Akokodaripon, Akorede Victor Aderoju, Taiwo Joseph Akinbolaji, Godwin Nzeako
1 citations
World Journal of Advanced Engineering Technology and Sciences
Cloud Computing and Resource Management
0.78
article

Automation in Cloud-Based DevOps: A Guide to CI/CD Pipelines and Infrastructure as Code (IaC) with Terraform and Jenkins

David Akokodaripon, Akorede Victor Aderoju, Taiwo Joseph Akinbolaji, Godwin Nzeako
article en
1 citations

Abstract

This study offers a comprehensive analysis of automation in cloud-based DevOps, focusing on the role of Continuous Integration/Continuous Delivery (CI/CD) pipelines and Infrastructure as Code (IaC) in streamlining software development processes. Employing tools like Jenkins and Terraform, the research aims to demonstrate how automation can significantly enhance operational efficiency, scalability, and security in cloud deployments. Through a detailed examination of CI/CD components and their integration with IaC, this paper identifies key findings, including the reduction of manual errors, improved deployment consistency across environments, and enhanced security through DevSecOps practices. The study further explores challenges such as configuration complexity and compliance, proposing best practices like proactive monitoring, encrypted secrets management, and version control to mitigate these issues. Conclusively, the research recommends the adoption of AI-driven analytics and robust security frameworks to optimize cloud-based CI/CD automation. This work not only highlights current methodologies but also anticipates future trends, providing a strategic roadmap for organizations aiming to leverage DevOps automation effectively.

World Journal of Advanced Engineering Technology and SciencesVol. 13(2)
Industry, innovation and infrastructure
Openalex Percentile: Top 19%
Cloud Computing and Resource Management
0.78
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.