Cloud computing is widely used today because it offers flexible and scalable infrastructure. Amazon Web Services (AWS) provides various services such as EC2, VPC, IAM, and Auto Scaling to develop cloud environments. However, manually setting up and managing infrastructure in AWS can be time-consuming and may result in configuration errors, security vulnerabilities, and increased cloud costs. In this project, AWS infrastructure is automated using Terraform, an Infrastructure as Code (IaC) tool. Instead of creating resources manually through the AWS console, infrastructure is defined using code and deployed automatically. The main aim of this research is to reduce deployment time, enhance security, and optimize cloud costs. A modular Terraform structure is employed to create VPC, EC2 instances, security groups, and IAM roles. Cost optimization methods such as instance rightsizing and Auto Scaling are also implemented. The findings indicate that automated deployment is faster and more consistent than manual setup. It also helps to reduce unnecessary cloud expenses and enhance security configurations. This study demonstrates that integrating automation, cost optimization, and security practices results in a more efficient and reliable cloud infrastructure. The research centers around automating AWS infrastructure using Terraform, an Infrastructure as Code (IaC) tool. Rather than manually configuring resources, the entire infrastructure is described in code files and deployed automatically. In this project, a modular Terraform structure is used to provision VPC, public and private subnets, EC2 instances, security groups, IAM roles, and Auto Scaling configurations. The primary goal of this research is to build a secure and cost-effective cloud environment. To achieve cost efficiency, instance rightsizing and Auto Scaling techniques are applied to avoid over-provisioning of resources. For improved security, IAM least-privilege policies, private subnet deployment, and restricted security group rules are implemented. The performance of manual and automated deployment is evaluated based on deployment time and configuration consistency. Infrastructure automation significantly reduces deployment time and minimizes human errors. It also improves security posture and supports better cloud cost management. This research shows that combining automation, cost optimization strategies, and security best practices can result in a more efficient, reliable, and scalable cloud infrastructure for organizations.
Infrastructure as Code; Terraform; Amazon Web Services (AWS); Cloud Automation; Cost Optimization; Cloud Security; DevOps; Auto Scaling; Virtual Private Cloud (VPC); IAM.
International Journal of Trend in Scientific Research and Development - IJTSRD having
online ISSN 2456-6470. IJTSRD is a leading Open Access, Peer-Reviewed International
Journal which provides rapid publication of your research articles and aims to promote
the theory and practice along with knowledge sharing between researchers, developers,
engineers, students, and practitioners working in and around the world in many areas
like Sciences, Technology, Innovation, Engineering, Agriculture, Management and
many more and it is recommended by all Universities, review articles and short communications
in all subjects. IJTSRD running an International Journal who are proving quality
publication of peer reviewed and refereed international journals from diverse fields
that emphasizes new research, development and their applications. IJTSRD provides
an online access to exchange your research work, technical notes & surveying results
among professionals throughout the world in e-journals. IJTSRD is a fastest growing
and dynamic professional organization. The aim of this organization is to provide
access not only to world class research resources, but through its professionals
aim to bring in a significant transformation in the real of open access journals
and online publishing.