International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 12 Issue: 03 | Mar 2025
p-ISSN: 2395-0072
www.irjet.net
AI-Driven Infrastructure as Code (IaC): Automating Cloud Deployments and Configuration Management Rahul Amte Austin TX USA, Nivid Infotech Inc, Senior Cloud AI Infrastructure Engineer --------------------------------------------------------------------------***----------------------------------------------------------------------ABSTRACT: This research paper details how to use the combination of Artificial Intelligence (AI) and Infrastructure as Code (IaC) to automate cloud bases deployments and configuration managements. Traditional IaC tools provide almost quinoa and arguin for infrastructure provisioning, but not adapativeness. By eliminating dull mundane human error prone tasks, IaC makes infrastructure operations more efficient; with AI driven IaC you can predict a scale, detect an anomaly and be automatically aligned with compliance standards. We aim at reducing deploy time, lowering error rate, and improving security by means of actual deployment cases and performance analysis. This kind of challenges (complexity, resource intensity) doesn't stop IaC to be driven by AI, it’s another way to manage a cloud. It has potential to optimize cloud operations, and, as enterprises with cloud infrastructures take up more space, it is a crucial advancement.
KEYWORDS: Cloud, AI, IaC, Deployment, Configuration, Infrastructure, Automation. I.INTRODUCTION Infrastructure as Code is all about automated infrastructure provisioning and are eliminating the manual intervention and ensuring the consistency before Cloud computing can easily be revolutionized. Although there are traditional IaC tools, they are on static configurations and are not adaptive to real time demands. With AI-driven IaC, predictive analytics, self healing mechanisms as well as automated policy enforcement are added to the capabilities. In this paper we study how AI allows cloud deployments to be optimized by minimizing the drift from configurations and to enhance security compliance. Using deployment efficiency and performance metrics, we offer benefits and drawbacks of using AI to drive IaC. It suggests that research might help to adapt automation to cloud infrastructure to greater intelligence, greater resiliency and lower cost.
Fig. 1 IaC Process (AtlexSoft, 2023)
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