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Terraform-Based AWS Infrastructure Automation and Cost Optimization: An Experimental Evaluation

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  • Gargi Verma

Abstract

Cloud computing has become an essential component of modern information technology infrastructure; however, manually managing cloud resources can result in deployment delays, configuration inconsistencies, resource underutilization, and unnecessary expenditure. This study evaluates Terraform-based Infrastructure as Code (IaC) for automating AWS infrastructure deployment and optimizing cloud resource utilization and cost. A comparative evaluation was conducted between manual deployment and Terraform-based deployment. The evaluation considered deployment time, manual deployment steps, configuration errors, AWS monthly cost, EC2 resource utilization, idle resources, and resource tagging compliance. The implementation results show that Terraform reduced deployment time from 26 minutes to 8 minutes, representing an approximately 69.2% reduction, while configuration errors decreased from four to zero. Monthly AWS expenditure decreased from ₹2,000 to ₹1,400, resulting in an estimated 30% cost reduction. Average EC2 CPU utilization increased from 18% to 47%, idle resources decreased from 14 to 2, and resource tagging compliance improved from 65% to 100%.

Suggested Citation

  • Gargi Verma, 2026. "Terraform-Based AWS Infrastructure Automation and Cost Optimization: An Experimental Evaluation," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 12(3), pages 929-937, June.
    • Handle: RePEc:jbh:ijsrcs:v12:y2026:i3:id:2126
    DOI: 10.32628/CSEIT26124222
    Note: Article URL: https://ijsrcseit.com/home/article/view/CSEIT26124222
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