Dynamic Micro-Frontend Architectures for Enhancing Scalability and Performance in Multi-Tenant Web Application
Micro-frontends extend the principles of micro services to the frontend, enabling the modular, independent deployment of user interface (UI) components. Scalability and performance optimization are crucial challenges in multi-tenant web applications, where diverse users require customized experiences without compromising system efficiency. This study introduces Dynamic Micro-Frontend Architectures (DMFAs) as a modern solution that dynamically loads tenant-specific UI components at runtime, enabling modular and independent frontend deployment. Unlike traditional monolithic frontends, which require full application redeployment for every change, DMFAs reduce system complexity and improve adaptability. The primary objective of this work is to evaluate the impact of DMFAs on deployment speed, resource utilization, and performance optimization. Through mathematical modeling and experimental evaluation, this research quantifies the benefits of DMFAs, including a 63.1% reduction in bundle size per tenant, significantly lowering bandwidth consumption and improving page load times. Additionally, the implementation of caching mechanisms, such as Redis, results in an 82% cache hit ratio and a 63% reduction in API requests. Load balancing tests confirm that resources are efficiently distributed, preventing performance degradation under high-traffic conditions. By enabling real-time frontend customization, DMFAs provide businesses with a scalable and maintainable solution for multi-tenant architectures. This approach not only optimizes system performance but also enhances agility by allowing independent teams to develop and deploy UI components without affecting the entire application. The study highlights DMFAs as a transformative solution to modern web development, offering a balance between customization, efficiency, and scalability.
Authors
- Gireesh Kambala
Institutions
- Center for Migration Studies of New York (US)
Publication Details
- Published
- 2025-04-24
- DOI
- https://doi.org/10.1109/icoei65986.2025.11013353
- Primary Topic
- Web Applications and Data Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00