Modernizing Monolithic Applications with Gitops Orchestrated Microservices Using Argocd, IAM, and AWS Infrastructure

Ravi chandra Thota
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Ravi chandra Thota: Independent Researcher

International Journal of Latest Technology in Engineering, Management & Applied Science, 2025, vol. 14, issue 4, 87-98

Abstract: Modern companies need to transform their legacy monolithic applications into microservices as their essential approach for obtaining better scalability and flexibility and enhanced performance in cloud-native infrastructure. The text examines the process of changing monolithic frameworks into ArgoCD-managed microservices through a combination of IAM and AWS infrastructure. The study evaluates the advantages of this migration process to show how these systems combine their operations for managing deployment workflows while enhancing security measures and scaling cloud environments. The first section reviews literature that details the architectural change from monolithic systems to microservices while tracing the industry need for microservices in contemporary software development. The methodology section explains how GitOps works with ArgoCD for automatic microservice management and AWS IAM integration for security purposes. A case-based assessment provides insights into how these tools minimize the time needed for CI/CD processes and support continuous delivery functions in Kubernetes deployments. The implementation of GitOps together with ArgoCD and IAM tools leads to operational simplification through automated manual operations along with smooth microservices adoption. The connection of IAM insecurely integrates security systems to protect against deployment lifecycle vulnerabilities. This paper provides an extensive examination of the experimental work with an analysis of team adaptation to microservices combined with best practices for GitOps scaling and maintenance of microservices architectures. The article concludes with a statement about how this method demonstrates its ability to address monolithic system constraints while maximizing cloud-native application management.

Date: 2025
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