
Blogify – Blogging Platform Backend
A RESTful API backend for a blogging platform supporting CRUD operations. Includes user authentication using JWT and MongoDB for persistent data storage.
Timeline
2 Weeks
Role
Backend Developer
Team
Solo
Status
CompletedTechnology Stack
Key Challenges
- Authentication Security
- Database Schema Design
- API Error Handling
Key Learnings
- JWT Implementation
- Mongoose Middleware
- REST Standards
Overview
Blogify is a comprehensive backend API designed to power modern blogging platforms. Built with Node.js and Express.js, it provides a secure and scalable foundation for content management systems.
The project emphasizes security and data integrity, featuring robust user authentication with JWT (JSON Web Tokens) and a structured MongoDB database for storing users, posts, and comments.
Key Features
Security & Auth
- JWT Authentication: Stateless authentication mechanism for secure API access.
- Password Hashing: User passwords are encrypted using
bcryptbefore storage. - Role-Based Access Control: Admin and User roles to manage permissions (e.g., only authors can edit their posts).
Content Management
- CRUD Operations: Full Create, Read, Update, Delete support for blog posts.
- Pagination: Efficiently fetch large lists of posts with page and limit parameters.
- Search & Filter: Filter posts by tags, categories, or author.
API Endpoints
Authentication
POST /api/auth/register - Register a new user
POST /api/auth/login - Login and receive JWTBlog Posts
GET /api/posts - Get all posts (paginated)
GET /api/posts/:id - Get single post details
POST /api/posts - Create a new post (Auth required)
PUT /api/posts/:id - Update a post (Auth required)
DELETE /api/posts/:id - Delete a post (Auth required)Technical Implementation
Middleware Architecture
The application uses custom middleware for error handling and authentication verification.
// Auth Middleware
const protect = async (req, res, next) => {
let token;
if (req.headers.authorization?.startsWith('Bearer')) {
try {
token = req.headers.authorization.split(' ')[1];
const decoded = jwt.verify(token, process.env.JWT_SECRET);
req.user = await User.findById(decoded.id).select('-password');
next();
} catch (error) {
res.status(401).json({ message: 'Not authorized' });
}
}
if (!token) {
res.status(401).json({ message: 'No token, authorization denied' });
}
};Data Modeling
Mongoose models define the structure and relationships of the data.
const postSchema = mongoose.Schema({
user: {
type: mongoose.Schema.Types.ObjectId,
required: true,
ref: 'User',
},
title: {
type: String,
required: [true, 'Please add a title'],
},
content: {
type: String,
required: [true, 'Please add content'],
},
}, {
timestamps: true,
});Challenges & Solutions
- Security: Implementing secure authentication from scratch required understanding JWT signing and verification flows. I ensured that tokens are short-lived and sensitive data is never exposed in the payload.
- Error Handling: Creating a centralized error handler middleware helped in maintaining consistent error responses across the entire API, making debugging much easier for frontend developers.
