Eliminating Configuration Drift at Scale Using Declarative Infrastructure Automation

Authors

  • Nadeem Siddiqui Independent Researcher, New York, USA. Author

DOI:

https://doi.org/10.63282/3050-9246.IJETCSIT-V7I2P128

Keywords:

Configuration Drift, Infrastructure As Code, Declarative Infrastructure, Gitops, Drift Detection, Cloud Operations, Compliance Automation, Continuous Delivery, Infrastructure Management, Terraform, Kubernetes, Devops

Abstract

In today’s dynamic, multi-cloud environments, managing infrastructure at scale is no small feat. One of the most persistent and dangerous operational challenges is configuration drift the silent divergence between intended and actual infrastructure states. Left unchecked, drift leads to security gaps, compliance violations, failed deployments, and sleepless nights for engineers. This paper explores how organizations are using declarative infrastructure automation via Infrastructure-as-Code (IaC), GitOps, and policy frameworks to detect, prevent, and remediate configuration drift across cloud and on-prem systems. We explore practical architectures, tooling patterns, and cultural shifts that eliminate drift not just once, but continuously, at scale.

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Published

2026-04-30

Issue

Section

Articles

How to Cite

1.
Siddiqui N. Eliminating Configuration Drift at Scale Using Declarative Infrastructure Automation. IJETCSIT [Internet]. 2026 Apr. 30 [cited 2026 May 18];7(2):213-22. Available from: https://ijetcsit.org/index.php/ijetcsit/article/view/715

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