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A Cloud-Native Platform Model for Rapid Development and Continuous Deployment of Enterprise Applications

Author(s) Ramesh Tangudu
Country United States
Abstract The aim of this study is to propose a cloud-native platform model that enables rapid development and continuous deployment of enterprise applications. The research focuses on addressing challenges related to scalability, agility, and operational efficiency in modern enterprise software environments. By leveraging cloud-native principles, the model seeks to enhance development speed while maintaining system robustness. The study emphasizes automation and modularity as key enablers. It also aims to reduce time-to-market for enterprise solutions. Overall, the work targets improved alignment between business needs and IT capabilities.
Method:
The proposed model is developed through an architectural analysis of cloud-native technologies such as containers, microservices, and CI/CD pipelines. A conceptual framework is designed to integrate development, deployment, and operational workflows. Comparative analysis with traditional monolithic platforms is conducted to highlight improvements. The model incorporates DevOps practices to ensure continuous integration and delivery. Logical validation is performed through enterprise-level use case scenarios. The methodology emphasizes practicality and adaptability.
Results:
The cloud-native platform model demonstrates significant improvements in deployment frequency, scalability, and fault tolerance. Results indicate reduced development cycles due to modular service design. Automated deployment pipelines improve release consistency and reduce human errors. Enterprises adopting the model can dynamically scale resources based on demand. Operational overhead is minimized through infrastructure automation. The findings validate the effectiveness of cloud-native adoption for enterprise systems.
Conclusion:
The study concludes that cloud-native platforms are essential for modern enterprise application development. The proposed model successfully integrates rapid development with continuous deployment capabilities. It enhances agility while ensuring reliability and security. Organizations can achieve sustainable digital transformation through this approach. The model provides a foundation for future enterprise platforms. Further research can extend the model with AI-driven automation.
Keywords Cloud-Native Platform, Enterprise Applications, Continuous Deployment, DevOps, Microservices.
Field Engineering
Published In Volume 7, Issue 2, February 2026
Published On 2026-02-26
DOI https://doi.org/10.70528/IJLRP.v7.i2.1974
Short DOI https://doi.org/hbqqkc
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