🚀 Authentication API (Express + TypeScript + Render)

A high-performance REST API built using Express.js, TypeScript, and Zod for input validation.
Deployed on Vercel with a focus on scalability, speed, and clean architecture.

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🧩 Tech Stack

Layer	Technology
Runtime	Node.js + TypeScript
Framework	Express.js
Validation	Zod
Database	MongoDB / Mongoose
Logging	Console-based with structured
Future Add-ons	Redis (for OTPs, caching), Rate Limiting, Query Optimization

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🚦 API Endpoints

Endpoint	Method	Description	Avg Response Time
/	GET	Health check	10 ms
/api/register	POST	Create new user	335 ms
/api/login	POST	Authenticate user	325 ms
/api/logout	POST	Clear session	40 ms
/api/verify	POST	Verify user via OTP	70 ms
/api/me	GET	Get logged-in user details	35 ms
/api/update/me	PATCH	Update user profile	60 ms
/api/remove/me	DELETE	Delete account	10 ms

All routes follow RESTful standards and use Zod for validation.

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🧠 Architecture Overview

• Layered Design: Controllers, Routes, Schemas, and Middleware separation for maintainability.
• Validation-First: Every incoming request is validated before reaching business logic.
• Token-Based Auth: Stateless JWT system compatible with serverless deployment.
• Serverless Optimized: Cold start friendly — lightweight dependency footprint.

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🔐 Environment Variables

Create a .env file in the project root:

PORT=5000
MONGODB_URI=your_mongodb_uri
JWT_SECRET=your_jwt_secret

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📉 Current Performance (Cold Start Included)

Endpoint	Response Time
Home	10 ms
Register	335 ms
Login	325 ms
Logout	40 ms
Verify	70 ms
Me	35 ms
Update/me	60 ms
Remove/me	10 ms

📈 Planned Enhancements

Feature	Description
🧊 Redis for OTP	Store temporary OTPs and session states securely
🚫 Rate Limiting	Prevent brute-force attacks on login/register/verify
⚡ DB Query Optimization	Reduce latency and improve MongoDB query efficiency
📊 Monitoring & Metrics	Add request tracing and endpoint latency visualization

Setup

To install dependencies:

bun install

To run:

bun run app.ts