Performance Optimization of CI/CD Pipelines through Redundant Operation Elimination
Keywords:
CI/CD, DevOps Optimization, Pipeline Performance,, Continuous Integration, Build Time ReductionAbstract
The proposed approach provides actionable insights for DevOps practitioners and supports data-driven decision making in CI/CD pipeline design. This article presents an experimental analysis of Continuous Integration and Continuous Delivery/Deployment (CI/CD) pipelines with a focus on performance optimization through the identification and elimination of redundant operations. Based on controlled experiments conducted in virtual machine environments and real-world CI/CD pipelines, the study demonstrates that unnecessary duplication of build and restore steps significantly increases execution time and resource consumption. A mixed-methods research approach is employed, combining quantitative performance measurements with a practical case study implemented in Azure DevOps. The results indicate a measurable reduction in average build and integration time after applying targeted optimization strategies, including framework-specific configurations, caching mechanisms, and pipeline restructuring. The findings confirm that systematic CI/CD optimization improves software delivery efficiency and supports faster, more reliable release cycles. The study contributes practical guidelines for DevOps teams seeking to enhance pipeline performance while maintaining code quality and system stability [1,2].
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References
G. Kuchava, S. Gotsiridze, M. Mantskava, and N. Momtselidze, “Analyzing the performance of DevOps integral components continuous integration/continuous deployment (CI/CD) modules and investigating the functionality and possibilities for software improvement,” in Research Collaboration, Consolidation, Friendship, pp. 53–54, 2024.
S. Gotsiridze, “Analysis of the efficiency of CI/CD modules as integral components of DevOps and opportunities for software improvement,” M.S. thesis, Business and Technology University, 2024 (in Georgian).
N. Forsgren, J. Humble, P. Debois, J. Willis, and G. Kim, The DevOps Handbook: How to Create World-Class Agility, Reliability, and Security in Technology Organizations. IT Revolution Press, 2021.
Z. Kavtaradze, “Increasing software quality and deployment speed through CI/CD in DevOps,” M.S. thesis, Business and Technology University, 2024 (in Georgian).
N. Demchenko, “Optimizing DevOps performance using chaos engineering,” M.S. thesis, Business and Technology University, 2025 (in Georgian).
G. Kuchava, G. Dvalishvili, and I. Kartvelishvili, “Optimizing the quality and speed of software delivery in DevOps with CI/CD,” Georgian Technical University, pp. 72–78, 2024 (in Georgian).
G. Kuchava, I. Kartvelishvili, and S. Vashalomidze, “Using chaos engineering to enhance the resilience of microservice architecture: An analysis of the ‘Online Boutique’ case,” Georgian Technical University, pp. 469–473, 2025 (in Georgian).
L. Lwakatare, “DevOps in practice: A multiple case study of five companies,” Information and Software Technology, 2019.
N. Forsgren and E. Freeman, DevOps for Dummies. For Dummies, 2019.
J. Hyman, Microsoft Azure for Dummies. For Dummies, 2023.
N. Forsgren, J. Humble, and G. Kim, Accelerate: The Science of Lean Software and DevOps – Building and Scaling High Performing Technology Organizations. IT Revolution, 2024.
