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All Journal The Eastasouth Journal of Information System and Computer Science
Koneru, Naga Murali Krishna
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Computer Science & IT

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The Role of GitLab Runners in CI/CD Pipelines: Configuring EC2, Docker, and Kubernetes Build Environments Koneru, Naga Murali Krishna
The Eastasouth Journal of Information System and Computer Science Vol. 2 No. 03 (2025): The Eastasouth Journal of Information System and Computer Science (ESISCS)
Publisher : Eastasouth Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/esiscs.v2i03.529

Abstract

This research studies GitLab Runners optimization in CI/CD pipelines across the EC2, Docker, and Kubernetes environment configurations. It shows that such key strategies for enhancing build performance and resource utilization would reduce build time by 65 percent and resource costs by 40 percent. Practical recommendations for configuring runners to achieve optimal efficiency are presented in the context of analyzing 200 enterprise pipelines. The key optimization techniques are autoscaling based on real-time metrics, advanced caching to minimize the rebuilds, and tuning the resource allocation to avoid over-provision. The study further looks into the capability of machine learning models to optimize the number of runners dynamically, predict the hit or not on the cache, and automatically pick up the execution environment. When these innovations are applied, CI / CD pipeline performance will improve by reducing idle resources, building time, and optimizing resource utilization. The paper shows that experts can achieve very good availability and cost efficiency by adapting the configuration of GitLab Runners. The research also discusses the evolution of automated environment selection and machine learning-based performance tuning. This framework serves as the base for organizations to increase their CI/CD pipeline development rate and facilitates a faster, more reliable, and cheaper software delivery.
Optimizing CI/CD Pipelines for Multi-Cloud Environments: Strategies for AWS and Azure Integration Koneru, Naga Murali Krishna
The Eastasouth Journal of Information System and Computer Science Vol. 2 No. 03 (2025): The Eastasouth Journal of Information System and Computer Science (ESISCS)
Publisher : Eastasouth Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/esiscs.v2i03.534

Abstract

CI/CD pipelines are essential for modern software development to speed up application delivery and ensure reliability. However, organizations experience considerable management difficulties when they operate Continuous Integration and Deployment workflows between AWS and Azure. The research discusses multiple approaches to optimizing CI/CD pipelines and demonstrates their integration between AWS and Azure systems. The complete implementation guidelines within the method include selecting tools and best practices along with the necessary architectural elements to construct secure, scalable, and successful CI/CD pipelines. Success in deployment requires using standardized CI/CD platforms, infrastructure code implementation, and security platforms spanning multiple cloud environments, price reduction technologies, and consolidated monitoring tools. The deployment process framework integrates cloud platforms by implementing a solution that merges interoperability and security management alongside cost control functions. This proposal demonstrates its worth by applying the example project to prove significant benefits: fast deployment speed, lower costs, and dependable system infrastructure. The document explores actual applications of optimized pipelines, which decrease operational complexity and enhance resource utilization efficiency. The report includes deployment guidelines supplemented by practical examples to guide organizations during their adoption phase. Standardized CI/CD management approaches allow organizations to simplify deployment pipelines and automate workflow processes during multi-cloud connectivity risk management. The surveyed findings regarding optimizing AWS and Azure CI/CD workflows enable organizations to improve their DevOps performance in complex cloud infrastructure.
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