Year: 2024
Type: article
Abstract: Infrastructure as Code (IaC) has revolutionized the management of cloud environments by enabling automated provisioning and configuration of infrastructure. Terraform, a widely-adopted open-source IaC tool, provides a consistent command-line interface for managing resources across multiple cloud platforms. This paper explores the use of Terraform in multi-cloud deployments, where businesses leverage the services of multiple cloud providers like AWS, Azure, and Google Cloud Platform (GCP) to enhance flexibility, avoid vendor lock-in, and improve redundancy. The discussion highlights Terraform's key features such as its provider based architecture, modular configuration, and state management, which collectively facilitate seamless infrastructure orchestration across diverse cloud ecosystems. Additionally, the paper examines the challenges and best practices in implementing Terraform for multi-cloud environments, focusing on aspects like security, Platform (GCP)—offering unique capabilities for managing and optimizing infrastructure resources. The need to manage these multi-cloud environments efficiently has resulted in the growing popularity of Infrastructure as Code (IaC), an approach that allows engineers and system administrators to define, provision, and manage infrastructure using declarative or scripted code. Among the various IaC tools available, Terraform, an open-source tool developed by HashiCorp, stands out for its multi-cloud support and versatility. This introduction explores the critical role Terraform plays in deploying infrastructure across multiple cloud platforms. It delves into the underlying concepts of IaC, Terraform’s key scalability, and maintaining consistent workflows. Through real-world use cases and examples, this study aims to demonstrate how Terraform enables organizations to streamline cloud operations, reduce manual intervention, and promote infrastructure standardization in complex, heterogeneous cloud landscapes.
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4414829605