Cloud-Native DevOps with Federated Learning and Scalable Enterprise Infrastructure Modernization
DOI:
https://doi.org/10.21590/Keywords:
Cloud-native DevOps, Federated Learning, Enterprise Infrastructure Modernization, Kubernetes, CI/CD, Microservices, Infrastructure as Code, Hybrid Cloud, DevSecOps, Distributed Machine Learning, Automation, Cloud Computing, Edge Computing, MLOps, Scalable Systems.Abstract
Cloud-native DevOps has become a foundational approach for organizations seeking scalable, resilient, and automated enterprise infrastructure solutions. Simultaneously, federated learning has emerged as an advanced decentralized machine learning technique that enables collaborative model training without transferring sensitive data to centralized repositories. This research explores the integration of cloud-native DevOps practices with federated learning to modernize enterprise infrastructure in distributed computing environments. The study investigates how technologies such as containerization, Kubernetes orchestration, microservices, Infrastructure as Code (IaC), and Continuous Integration/Continuous Deployment (CI/CD) pipelines can support secure and scalable federated learning ecosystems. The research further examines the role of automation, observability, edge computing, DevSecOps, and hybrid cloud deployment in enhancing operational efficiency and intelligent decision-making. A detailed literature review identifies critical challenges including scalability limitations, interoperability complexity, network latency, governance issues, and cybersecurity threats in modern enterprise systems. The proposed methodology introduces a cloud-native federated architecture capable of automating machine learning operations while preserving privacy and compliance requirements. The study concludes that integrating federated learning with cloud-native DevOps significantly improves infrastructure scalability, deployment flexibility, security resilience, and enterprise modernization capabilities, thereby supporting next-generation digital transformation initiatives across industries.
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