Advances in Cloud-Native Software Delivery Using DevOps and Continuous Integration Pipelines

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@article{1708516,
      author = {Ejielo Ogbuefi, Samuel Owoade, Bright Chibunna Ubanadu, Andrew Ifesinachi Daraojimba, Oyinomomo-emi Emmanuel Akpe},
      title = {Advances in Cloud-Native Software Delivery Using DevOps and Continuous Integration Pipelines},
      journal = {Iconic Research And Engineering Journals},
      year = {2021},
      volume = {5},
      number = {4},
      pages = {260-283},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1708516.pdf},
      abstract = {The evolution of software delivery has entered a transformative phase with the emergence of cloud-native architectures and DevOps practices. These innovations have redefined how organizations build, deploy, and manage applications, enabling greater scalability, reliability, and speed. This paper explores recent advances in cloud-native software delivery through the integration of DevOps methodologies and Continuous Integration/Continuous Deployment (CI/CD) pipelines. It presents a comprehensive overview of how these practices facilitate the development of resilient, modular, and scalable applications that can be rapidly delivered and updated in real-time. Cloud-native software delivery emphasizes microservices architecture, containerization, orchestration with tools like Kubernetes, and automated infrastructure provisioning through Infrastructure as Code (IaC). These practices are increasingly supported by CI/CD pipelines that automate testing, building, and deployment processes. The synergy between cloud-native infrastructure and DevOps allows development teams to achieve rapid iteration cycles, improve code quality, and enhance operational stability through real-time monitoring, rollback capabilities, and seamless scalability. The paper introduces a layered framework outlining key stages in modern software delivery pipelines: code commit, automated testing, containerization, deployment, and feedback integration. It also examines how version control systems, pipeline as code, observability tools, and cloud services (such as AWS CodePipeline, Azure DevOps, and Google Cloud Build) are enabling end-to-end automation. By leveraging these advances, organizations can reduce deployment risks, shorten development cycles, and respond more quickly to market and user demands. Furthermore, this study highlights challenges such as toolchain complexity, security in automated workflows, and organizational readiness, offering mitigation strategies to promote sustainable adoption. The paper concludes by identifying future directions for cloud-native DevOps, including the integration of Artificial Intelligence for IT Operations (AIOps), GitOps, and policy-as-code for enhanced governance. Ultimately, this work contributes to the evolving body of knowledge on digital transformation and agile software engineering, providing a roadmap for enterprises aiming to modernize their software delivery processes in a competitive digital economy.},
      keywords = {Cloud-Native, DevOps, Continuous Integration, Continuous Deployment, CI/CD Pipeline, Software Delivery, Microservices, Containerization, Kubernetes, Infrastructure as Code, Agile Software Development, AIOps, GitOps.},
      month = {October},
  }