Random User Management System
A full-stack development project built to power and support the QA automation scope.
Overview
Designed and developed a full-stack application to manage, store, and visualize randomly generated user data from a public API. This development project provided stable, testable business flows that directly supported the automation strategy and scenarios.
Architecture
The frontend is built with Next.js, React, Tailwind CSS, and shadcn/ui for a responsive UI/UX. The backend exposes scalable RESTful APIs using Node.js and Express.js, with PostgreSQL as the persistence layer via Sequelize ORM. Frontend and backend are deployed independently on Vercel and Render with strict CORS and environment-variable configuration.
Data Flow Highlights
- 1Users generate and manage records through a responsive Next.js interface with centralized state handling via React Context.
- 2The Express.js API processes CRUD operations and applies optimized pagination, search, and filter logic before returning results.
- 3Sequelize ORM maps service operations to PostgreSQL tables, ensuring consistent data interactions and maintainable query logic.
- 4Deployment is split across Vercel (frontend) and Render (backend/database), with secure cross-origin communication and environment-based configuration.
- 5The UI architecture uses stable element selectors (ID-based) and predictable interaction patterns to support reliable automation testing.
Detailed Tech Stack
Backend Services
Node.js, Express.js, RESTful API Design, Sequelize ORM, CORS & Environment Configuration
Database Layer
PostgreSQL
Tooling & DevOps
Next.js, React, Tailwind CSS, shadcn/ui, Vercel, Render, React Context