International Journal on Science and Technology
E-ISSN: 2229-7677
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Impact Factor: 9.88
A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Volume 16 Issue 4
October-December 2025
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Optimizing CI/CD Pipelines in Azure DevOps: A Study on Best Practices and Performance Enhancements
| Author(s) | Vidyasagar Vangala |
|---|---|
| Country | United States |
| Abstract | The article analyzes tested approaches together with performance techniques that optimize Azure DevOps' Continuous Integration/Continuous Deployment (CI/CD) pipeline performance. Organizations that adopt DevOps practices need optimal CI/CD pipeline functionality to deliver speedy deliveries with enhanced dependability. The study demonstrates ways to maximize Azure DevOps pipeline efficiency through design evaluation combined with automation development efforts and resource optimization steps with system monitoring techniques. Professional feedback and factual analytics from pipeline operational data expose essential problems and verified solutions for pipeline performance and capability development that secures operational stability. The research demonstrates that optimization of pipeline processes at high levels enables both faster building cycles and protection from deployment failures as well as automated testing solutions and optimized infrastructure deployments. Researchers investigate how parallel processing works in combination with artifact management and caching features of Azure DevOps for obtaining performance increases. The research findings help DevOps teams to maximize Azure DevOps platforms during their pursuit of developing enhanced CI/CD pipelines to surpass existing software development needs. The research includes actionable recommendations for DevOps enhancement that support small and large enterprises to operate Azure DevOps CI/CD functions at their highest level. |
| Field | Engineering |
| Published In | Volume 9, Issue 4, October-December 2018 |
| Published On | 2018-11-09 |
| DOI | https://doi.org/10.71097/IJSAT.v9.i4.7907 |
| Short DOI | https://doi.org/g9zgw9 |
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IJSAT DOI prefix is
10.71097/IJSAT
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