Scalable GitOps Models for Multi-Cloud Infrastructure as Code Deployment

Authors

  • Sri Ramya Deevi

DOI:

https://doi.org/10.47941/ijce.3190

Keywords:

GitOps, Infrastructure as Code (IaC), ArgoCD, Kubernetes, Cross-Cloud Deployment, Scalability

Abstract

As enterprises embrace multi-cloud strategies to enhance agility, reduce vendor lock-in, and meet regulatory requirements, the need for scalable and reliable infrastructure management becomes critical. GitOps a paradigm that leverages Git as the single source of truth for declarative infrastructure offers a transformative approach to manage Infrastructure as Code (IaC) across heterogeneous cloud environments. This paper explores scalable GitOps models tailored for multi-cloud deployments, highlighting key architectural patterns, toolchains, and workflows that enable secure, auditable, and automated infrastructure operations. The study analyzes the strengths and limitations of leading GitOps tools such as ArgoCD and Flux in coordinating cross-cloud configurations and reconcile loops. The study also examines strategies for repository structuring, modularization of IaC, policy-as-code integration, and dynamic secrets management to support enterprise-scale deployments. The study propose a reference architecture that addresses the challenges of scalability, compliance, and resilience in multi-cloud GitOps workflows. My findings demonstrate that, when correctly implemented, GitOps can serve as a powerful operational model for achieving continuous delivery and governance in complex cloud-native ecosystems.

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Published

2022-04-18

How to Cite

Deevi, S. R. (2022). Scalable GitOps Models for Multi-Cloud Infrastructure as Code Deployment. International Journal of Computing and Engineering, 3(2), 25–35. https://doi.org/10.47941/ijce.3190

Issue

Vol. 3 No. 2 (2022)

Section

Articles

License

Copyright (c) 2022 Sri Ramya Deevi

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution (CC-BY) 4.0 License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.