Architecture and Deployment of Cloud-Native CI/CD Pipelines for Frontend Applications in Large-Scale Retail Platforms

Authors

  • Bhuvan Chandra Kasarapu

Keywords:

Cloud-Native Architecture, CI/CD Pipelines, Frontend Applications, Retail Platforms, DevOps Automation

Abstract

The digital landscape of large-scale retail platforms has advanced such that engineers must take a cloud-native approach to design highly scalable, resilient and everchanging frontend applications. This paper discusses a comprehensive architecture and deployment framework of cloud-based CI/CD pipelines for enterprise-level retail frontend systems. The framework uses containerization, microservices-based delivery model and Infrastructure as Code (IaC) to help automate build, test and deployment processes across distributed cloud ecosystems. Emphasis on integration of modern frontend frameworks to DevOps which would make release cycles faster, improve the code quality and seamless user experience. This architectural style includes operational Kubernetes orchestration, serverless elements, and automated testing pipelines to achieve high availability and fault tolerance. In addition, the research also compares metrics such as deployment frequency, rollback time and system stability showing that teams using a good deployment pipeline outperform other teams in all these aspects. Also, things like security policies on zero-trust and automated vulnerability scanning are integrated into the pipeline. The results demonstrate that cloud-native CI/CD pipelines increase operational efficiency, scalability and agility in high-velocity retail environments and thus represent an indispensable enabling factor for digital transformation in highly scalable e-commerce platforms.

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Published

31.12.2024

How to Cite

Bhuvan Chandra Kasarapu. (2024). Architecture and Deployment of Cloud-Native CI/CD Pipelines for Frontend Applications in Large-Scale Retail Platforms. International Journal of Intelligent Systems and Applications in Engineering, 12(23s), 4345 –. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/8330

Issue

Vol. 12 No. 23s (2024)

Section

Research Article

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