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Journal of Current Trends in Computer Science Research(JCTCSR)

ISSN: 2836-8495 | DOI: 10.33140/JCTCSR

Impact Factor: 0.9

Siddharth Shivaji Raut

Independent Researcher, London, United Kingdom

Publications
  • Research Article   
    Machine Learning-Enhanced CI/CD Pipelines in Kubernetes Environments: An Empirical Study
    Author(s): Sachin Shivaji Raut* and Siddharth Shivaji Raut

    The increasing adoption of cloud-native architectures and Kubernetes for software deployment presents various complexities for maintaining robust and efficient continuous integration and continuous deployment (CI/CD) pipelines. While machine learning (ML) holds promise for enhancing these processes, empirical investigation into its practical application and observed outcomes in real-world settings remains an area of active inquiry. This mixed-methods study empirically examines the implementation strategies and perceived efficacy of ML-enhanced CI/CD frameworks within Kubernetes-based environments. Data were col- lected through surveys and interviews involving 127 DevOps engineers, site reliability engineers, and cloud architects from twelve mid- to large-scale Software-as-a-Service organizations. Preliminary findings indicate that organizations integrating ML into their CI/CD pipeline.. Read More»

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