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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
Issue per Year : 12
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Issue Published : 118
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Total Authors : 22487
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| Paper Title: | CI/CD Acceleration in Multi-Cloud Environments Using GitLab, Jenkins, and Terraform: A Comparative Review and Future Directions |
| Authors Name: | Divyesh Pradeep Shah |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_206055
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| Published Paper Id: | IJRTI2505336 |
| Published In: | Volume 10 Issue 5, May-2025 |
| DOI: | https://doi.org/10.56975/ijrti.v10i5.206055 |
| Abstract: | This review explores the acceleration of Continuous Integration/Continuous Deployment (CI/CD) pipelines in multi-cloud environments, focusing on the integration of GitLab, Jenkins, and Terraform. The growing complexity of managing multi-cloud infrastructures requires more efficient and scalable solutions for software delivery, prompting the need for innovative CI/CD acceleration techniques. This paper examines current research, technological developments, and case studies that demonstrate how these tools can be leveraged to optimize CI/CD processes, reduce deployment times, and enhance system reliability. Additionally, the review highlights the gaps in existing methodologies and proposes a new predictive model that integrates these tools for improved performance. The findings underscore the importance of automation, predictive analytics, and resource optimization in the CI/CD pipeline. Finally, this paper provides actionable recommendations for future research, with a focus on machine learning integration, enhanced resource management, and security in multi-cloud environments. The proposed model is expected to influence both practitioners and policymakers, guiding future developments in the field of CI/CD acceleration. |
| Keywords: | CI/CD, Multi-cloud, GitLab, Jenkins, Terraform, Predictive Model, Continuous Integration, Continuous Deployment, Cloud-Native Tools, Software Delivery, Automation, Resource Optimization, Machine Learning, Cloud Security. |
| Cite Article: | "CI/CD Acceleration in Multi-Cloud Environments Using GitLab, Jenkins, and Terraform: A Comparative Review and Future Directions", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 5, page no.d261-d267, May-2025, Available :http://www.ijrti.org/papers/IJRTI2505336.pdf |
| Downloads: | 000344 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
| Publication Details: |
Published Paper ID: IJRTI2505336
Registration ID:206055
Published In: Volume 10 Issue 5, May-2025
DOI (Digital Object Identifier): https://doi.org/10.56975/ijrti.v10i5.206055
Page No: d261-d267 Country: -, -, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2505336 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2505336 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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