Cloud Governance Frameworks - An Empirical Analysis of AWS, Azure and Google Cloud Models
Keywords:
Cloud Governance; AWS; Azure; Google Cloud; Compliance; Security Governance; Policy Enforcement; Multi-Cloud Strategy; Cloud Maturity Models.Abstract
This paper has compared and contrasted the cloud governance systems of Amazon Web Services (AWS), Microsoft Azure and Google Cloud Platform (GCP) through the mixed-method empirical viewpoint. The study compared maturity in governance, compliance system, security measures, automation, and policy enforcement frameworks on the three platforms. Structured surveys and interviews were used to gather primary data on cloud governance specialists, which was complemented by secondary analysis of published documentation and reports on the industry. The findings showed that AWS had the best governance maturity due to its automation of compliance, good security governance and well-defined policy management tools. Azure was next in line and it showed its capabilities of integrating with the enterprise and exercising centralized governance controls and especially so to organizations in the Microsoft ecosystem. Google Cloud demonstrated creativity in automation in security and intelligent threat detection, whereas it demonstrated relatively lower maturity in enterprise control and established compliance frameworks. The paper has highlighted the necessity to match the capabilities of platform governance with the organizational requirements and regulatory demands and especially in multi-cloud environments where platform governance architectures should be harmonized to achieve efficiency, security, and compliance.Downloads
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