Automating DevOps: A Review of AI-Powered SaaS Platforms for Deploying and Scaling MERN Applications

Abstract

Modern MERN stack applications require efficient deployment, scalability, and reliable cloud infrastructure management. However, configuring Docker, Kubernetes, and CI/CD pipelines manually is complex, time-consuming, and error-prone. This paper reviews an AI-powered SaaS platform that automates DevOps workflows for MERN applications using machine learning and Large Language Models (LLMs). The proposed system analyzes application metadata and automatically generates optimized Dockerfiles, Kubernetes manifests, and CI/CD configurations. The platform integrates a React-based frontend, Node.js backend, Python-based AI optimization engine, and Kubernetes infrastructure for seamless deployment automation. AI-driven resource prediction improves scalability, reduces deployment failures, and minimizes infrastructure costs. Experimental observations show improved deployment efficiency, smaller container image sizes, enhanced stability, and simplified operations compared to traditional deployment methods. The study also discusses future enhancements such as AIOps integration, multi-framework support, and intelligent monitoring systems. Overall, the platform demonstrates how AI can transform DevOps into an automated, scalable, and production-ready deployment ecosystem.