Accelerated Cloud Infrastructure Development Using Terraform

The emergence of Infrastructure as Code (IaC) has revolutionized cloud infrastructure provisioning and management, enabling automation, consistency, and scalability. Terraform, as a leading IaC tool, provides a cloud-agnostic platform for defining and managing infrastructure resources across multiple providers. This paper delves into the capabilities of Terraform, highlighting its integration with AWS, Git, and Jenkins to streamline cloud development workflows. Through a case study of deploying a scalable application on AWS using Terraform, we demonstrate significant improvements in deployment speed, resource consistency, and operational efficiency. We also discuss the limitations encountered, such as state management complexities and learning curve challenges, and propose future enhancements to address these issues.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-09-30
DOI
https://doi.org/10.5281/zenodo.13935110
Primary Topic
Cloud Computing and Resource Management
Type
article
Field-Weighted Citation Impact
0.00
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article

Accelerated Cloud Infrastructure Development Using Terraform

Zenodo (CERN European Organization for Nuclear Research)
Cloud Computing and Resource Management
article

Accelerated Cloud Infrastructure Development Using Terraform

article en

Abstract

The emergence of Infrastructure as Code (IaC) has revolutionized cloud infrastructure provisioning and management, enabling automation, consistency, and scalability. Terraform, as a leading IaC tool, provides a cloud-agnostic platform for defining and managing infrastructure resources across multiple providers. This paper delves into the capabilities of Terraform, highlighting its integration with AWS, Git, and Jenkins to streamline cloud development workflows. Through a case study of deploying a scalable application on AWS using Terraform, we demonstrate significant improvements in deployment speed, resource consistency, and operational efficiency. We also discuss the limitations encountered, such as state management complexities and learning curve challenges, and propose future enhancements to address these issues.

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Openalex Percentile: Top 36%
Cloud Computing and Resource Management
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