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@article{200285,
        author = {Anshpreet Kaur and Gopal Khorwal},
        title = {The MERN Evolution: Evaluating Server-Side Rendering for Modern Web Applications},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {12},
        pages = {1975-1985},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=200285},
        abstract = {The MERN stack — comprising MongoDB, Express.js, React, and Node.js — has, over the past decade, established itself as one of the most widely adopted full-stack development paradigms for building modern, data-driven web applications. Yet despite this widespread adoption, the conventional MERN deployment pattern, which relies almost exclusively on client-side rendering (CSR), faces mounting scrutiny with respect to initial page load latency, search engine discoverability, and perceived performance on resource-constrained devices. This paper undertakes a systematic, empirical examination of server-side rendering (SSR) as an architectural extension of the MERN stack, with particular attention to hybrid patterns enabled by frameworks such as Next.js. We benchmark four rendering strategies — pure CSR, SSR, static site generation (SSG), and incremental static regeneration (ISR) — across a purpose-built e-commerce reference application deployed on equivalent cloud infrastructure. Quantitative metrics including Largest Contentful Paint (LCP), Time to First Byte (TTFB), Cumulative Layout Shift (CLS), and Lighthouse SEO scores are recorded under controlled load conditions. Our results demonstrate that SSR with intelligent server-side caching reduces LCP by approximately 49% and improves SEO audit scores from 61 to 96 on the Lighthouse 100-point scale compared to conventional CSR baselines, though at the cost of elevated server CPU utilization and increased deployment complexity. We further characterize the conditions under which each rendering strategy yields optimal outcomes and propose a decision framework to guide practitioners in selecting appropriate patterns for their specific application contexts. These findings have direct implications for engineering teams navigating the performance-correctness trade-off space inherent in modern MERN deployments.},
        keywords = {MERN stack, server-side rendering, Next.js, React, web performance, SEO, client-side rendering, incremental static regeneration, Core Web Vitals, hybrid rendering},
        month = {May},
        }