CI/CD Acceleration in Multi-Cloud Environments Using GitLab, Jenkins, and Terraform: A Comparative Review and Future Directions

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.