Infrastructure as Code (IaC) in Cloud Migration: Enhancing Automation, Security and Scalability in AWS

This article examines the strategic implementation of Infrastructure as Code (IaC) methodologies in enterprise AWS cloud migrations, demonstrating how organizations can enhance automation, security, and scalability throughout their infrastructure lifecycle. Through analysis of implementation patterns across diverse industry sectors, the article identifies critical success factors for effective IaC adoption, including standardization through Git-based repositories, embedding security controls directly in templates, integration with CI/CD pipelines, and implementation of resilient scaling and disaster recovery mechanisms. The article combines qualitative assessment of organizational practices with quantitative metrics analysis to provide a comprehensive evaluation of IaC benefits, challenges, and emerging trends. The article reveals that organizations implementing mature IaC approaches achieve substantial improvements in deployment efficiency, configuration consistency, security posture, and operational costs while establishing foundations for future automation capabilities. The article further explores emerging technologies including AI-assisted template generation, automated drift detection, policy-as-code frameworks, and predictive scaling algorithms that represent the evolving frontier of infrastructure automation. These insights provide technology leaders with actionable guidance for implementing IaC as a strategic capability that aligns infrastructure management with broader digital transformation objectives while maintaining the governance and compliance requirements essential in enterprise environments.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-31
DOI
https://doi.org/10.5281/zenodo.17346082
Primary Topic
Organizational and Employee Performance
Type
article
Field-Weighted Citation Impact
0.00
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article

Infrastructure as Code (IaC) in Cloud Migration: Enhancing Automation, Security and Scalability in AWS

Zenodo (CERN European Organization for Nuclear Research)
Organizational and Employee Performance
article

Infrastructure as Code (IaC) in Cloud Migration: Enhancing Automation, Security and Scalability in AWS

article en

Abstract

This article examines the strategic implementation of Infrastructure as Code (IaC) methodologies in enterprise AWS cloud migrations, demonstrating how organizations can enhance automation, security, and scalability throughout their infrastructure lifecycle. Through analysis of implementation patterns across diverse industry sectors, the article identifies critical success factors for effective IaC adoption, including standardization through Git-based repositories, embedding security controls directly in templates, integration with CI/CD pipelines, and implementation of resilient scaling and disaster recovery mechanisms. The article combines qualitative assessment of organizational practices with quantitative metrics analysis to provide a comprehensive evaluation of IaC benefits, challenges, and emerging trends. The article reveals that organizations implementing mature IaC approaches achieve substantial improvements in deployment efficiency, configuration consistency, security posture, and operational costs while establishing foundations for future automation capabilities. The article further explores emerging technologies including AI-assisted template generation, automated drift detection, policy-as-code frameworks, and predictive scaling algorithms that represent the evolving frontier of infrastructure automation. These insights provide technology leaders with actionable guidance for implementing IaC as a strategic capability that aligns infrastructure management with broader digital transformation objectives while maintaining the governance and compliance requirements essential in enterprise environments.

Zenodo (CERN European Organization for Nuclear Research)
Film Independent (US)
Industry, innovation and infrastructure
Openalex Percentile: Top 24%
Organizational and Employee Performance
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