Service Locator App Using MERN Stack: A Comprehensive Solution for Connecting Service Providers and Households

In the evolving landscape of web application development, service management patterns play a crucial role in building scalable, maintainable, and efficient systems. This research focuses on implementing the Service Locator design pattern within the MERN (MongoDB, Express.js, React, Node.js) stack, but introduces a significant modification: replacing MongoDB with Hygraph, a headless CMS powered by GraphQL. The goal is to study how centralizing the access and management of services impacts the system’s modularity, scalability, and performance. By leveraging Hygraph’s flexible and dynamic schema capabilities, the architecture allows applications to adapt quickly to content changes without heavy backend modifications. This research shows that combining a Service Locator with a modern CMS like Hygraph creates a decoupled, efficient architecture suitable for content-heavy, dynamic applications

Authors

Institutions

Publication Details

Journal
International Journal for Research in Applied Science and Engineering Technology
Published
2025-05-08
DOI
https://doi.org/10.22214/ijraset.2025.70273
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Service Locator App Using MERN Stack: A Comprehensive Solution for Connecting Service Providers and Households

Sangeeta Tripathi
International Journal for Research in Applied Science and Engineering Technology
AI in Service Interactions
article

Service Locator App Using MERN Stack: A Comprehensive Solution for Connecting Service Providers and Households

Sangeeta Tripathi
article en

Abstract

In the evolving landscape of web application development, service management patterns play a crucial role in building scalable, maintainable, and efficient systems. This research focuses on implementing the Service Locator design pattern within the MERN (MongoDB, Express.js, React, Node.js) stack, but introduces a significant modification: replacing MongoDB with Hygraph, a headless CMS powered by GraphQL. The goal is to study how centralizing the access and management of services impacts the system’s modularity, scalability, and performance. By leveraging Hygraph’s flexible and dynamic schema capabilities, the architecture allows applications to adapt quickly to content changes without heavy backend modifications. This research shows that combining a Service Locator with a modern CMS like Hygraph creates a decoupled, efficient architecture suitable for content-heavy, dynamic applications

International Journal for Research in Applied Science and Engineering TechnologyVol. 13(5)
Babu Banarasi Das University (IN)
Openalex Percentile: Top 96%
AI in Service Interactions
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.