Research Article

Infrastructure-as-Code with Scripting: A Technical Review

Authors

  • Santhosh Rao Veldi Jawaharlal Nehru Technological University, India

Abstract

Infrastructure-as-Code (IaC) has transformed how organizations deploy, manage, and scale IT infrastructure by enabling teams to define infrastructure through programmatic specifications rather than manual processes. This technical review explores how scripting languages enhance IaC implementation, highlighting the symbiotic relationship between declarative tools and imperative scripting. Python, PowerShell, and Bash serve as foundational elements that extend core IaC platforms, enabling organizations to address unique requirements and legacy system integration. The review examines leading tools including Terraform and Ansible, alongside cloud-native solutions from major providers. Implementation strategies such as modular design, comprehensive testing frameworks, security-as-code practices, and effective state management are presented as critical success factors. The document also explores emerging trends including the convergence of infrastructure and application development paradigms, the integration of artificial intelligence for predictive operations, multi-cloud orchestration capabilities, and persistent adoption challenges. As cloud-native architectures become standard, the fusion of robust IaC tools with flexible scripting languages provides a strategic advantage for technology organizations seeking operational excellence and competitive differentiation in rapidly evolving digital landscapes.

Article information

Journal

Journal of Computer Science and Technology Studies

Volume (Issue)

7 (6)

Pages

345-352

Published

2025-06-13

How to Cite

Santhosh Rao Veldi. (2025). Infrastructure-as-Code with Scripting: A Technical Review. Journal of Computer Science and Technology Studies, 7(6), 345-352. https://doi.org/10.32996/jcsts.2025.7.6.41

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Keywords:

Infrastructure-as-Code, Scripting Languages, Automation, Cloud Orchestration, DevOps Integration