Full-stack development solution
Core Concepts of Full-Stack Development
Full-stack development means developers can handle all layers from the database to the user interface. Node.js, as a JavaScript runtime environment, is naturally suited for full-stack development because it allows developers to write both frontend and backend code using the same language. This uniformity significantly reduces context-switching costs and improves development efficiency.
A typical full-stack architecture includes the following layers:
- Frontend (React/Vue/Angular)
- Backend (Node.js + Express/NestJS)
- Database (MongoDB/PostgreSQL)
- Infrastructure (Docker, AWS, etc.)
// Simple full-stack example - Shared type definitions between frontend and backend
// shared/types.ts
export interface User {
id: string;
name: string;
email: string;
}
// server/src/routes/users.ts
import { User } from '../../shared/types';
app.get('/api/users', (req, res) => {
const users: User[] = [...];
res.json(users);
});
// client/src/components/UserList.tsx
import { User } from '../shared/types';
function UserList({ users }: { users: User[] }) {
return (
<ul>
{users.map(user => (
<li key={user.id}>{user.name}</li>
))}
</ul>
);
}
Node.js Backend Architecture Design
Express is the most popular Node.js framework, but modern full-stack projects tend to favor structured frameworks like NestJS. NestJS provides clear architectural patterns, including concepts like modules, controllers, services, and pipes.
A complete backend service typically includes:
- Route handling
- Middleware
- Data validation
- Authentication and authorization
- Database integration
- Error handling
- Logging
- API documentation
// NestJS controller example
@Controller('users')
export class UsersController {
constructor(private readonly usersService: UsersService) {}
@Post()
@HttpCode(201)
async create(@Body() createUserDto: CreateUserDto) {
return this.usersService.create(createUserDto);
}
@Get(':id')
async findOne(@Param('id') id: string) {
try {
return await this.usersService.findOne(+id);
} catch (error) {
throw new NotFoundException('User not found');
}
}
}
Database Integration Strategies
MongoDB is very popular when paired with Node.js, especially when using the Mongoose ODM. However, PostgreSQL is a better choice for scenarios requiring transaction support.
In modern full-stack development, database access typically follows these patterns:
- Define data models
- Create a data access layer
- Implement business logic services
- Expose API endpoints
// Mongoose model definition
const userSchema = new mongoose.Schema({
name: { type: String, required: true },
email: {
type: String,
required: true,
unique: true,
validate: {
validator: v => /^[^\s@]+@[^\s@]+\.[^\s@]+$/.test(v),
message: props => `${props.value} is not a valid email!`
}
},
password: { type: String, select: false }
});
// Add instance methods
userSchema.methods.verifyPassword = async function(password) {
return await bcrypt.compare(password, this.password);
};
const User = mongoose.model('User', userSchema);
Seamless Frontend-Backend Integration
Modern frontend frameworks like React, Vue, and Angular integrate well with Node.js backends. Key considerations include:
- API call encapsulation
- State management
- Form handling
- Error handling
- Authentication flow
// React + TypeScript API client example
const apiClient = axios.create({
baseURL: process.env.REACT_APP_API_URL,
timeout: 10000,
headers: {
'Content-Type': 'application/json',
},
});
// Add request interceptor
apiClient.interceptors.request.use(config => {
const token = localStorage.getItem('token');
if (token) {
config.headers.Authorization = `Bearer ${token}`;
}
return config;
});
// Add response interceptor
apiClient.interceptors.response.use(
response => response.data,
error => {
if (error.response?.status === 401) {
// Handle unauthorized error
}
return Promise.reject(error);
}
);
// Usage example
export async function fetchUsers() {
return apiClient.get<User[]>('/users');
}
Authentication and Authorization Implementation
Authentication in full-stack applications typically uses the JWT (JSON Web Tokens) scheme. The complete flow includes:
- User registration/login
- Server issues a token
- Client stores the token
- Subsequent requests include the token
- Server validates the token
// JWT issuance and verification example
const jwt = require('jsonwebtoken');
const bcrypt = require('bcryptjs');
// Login controller
async function login(req, res) {
const { email, password } = req.body;
// 1. Find user
const user = await User.findOne({ email }).select('+password');
if (!user) {
return res.status(401).json({ error: 'Invalid credentials' });
}
// 2. Verify password
const isMatch = await user.verifyPassword(password);
if (!isMatch) {
return res.status(401).json({ error: 'Invalid credentials' });
}
// 3. Generate JWT
const token = jwt.sign(
{ userId: user._id },
process.env.JWT_SECRET,
{ expiresIn: '7d' }
);
// 4. Return token
res.json({ token });
}
// Authentication middleware
function authenticate(req, res, next) {
const token = req.header('Authorization')?.replace('Bearer ', '');
try {
const decoded = jwt.verify(token, process.env.JWT_SECRET);
req.userId = decoded.userId;
next();
} catch (error) {
res.status(401).json({ error: 'Authentication required' });
}
}
Real-Time Feature Implementation
Modern applications often require real-time features like chat and notifications. Node.js is particularly suited for such scenarios due to its event-driven architecture.
Common technical solutions:
- WebSocket (Socket.io)
- Server-Sent Events (SSE)
- GraphQL Subscriptions
// Socket.io real-time chat example
const io = require('socket.io')(server);
io.on('connection', socket => {
console.log('New client connected');
// Join room
socket.on('joinRoom', ({ room, user }) => {
socket.join(room);
socket.to(room).emit('message', {
user: 'System',
text: `${user} has joined the room`
});
});
// Handle messages
socket.on('sendMessage', ({ room, user, text }) => {
io.to(room).emit('message', { user, text });
});
// Disconnect
socket.on('disconnect', () => {
console.log('Client disconnected');
});
});
// Client-side code
const socket = io(process.env.REACT_APP_SOCKET_URL);
// Join room
socket.emit('joinRoom', { room: 'general', user: 'John' });
// Send message
function sendMessage(text) {
socket.emit('sendMessage', {
room: 'general',
user: 'John',
text
});
}
// Receive messages
socket.on('message', message => {
console.log('New message:', message);
});
Performance Optimization Strategies
Full-stack application performance optimization requires collaboration between frontend and backend:
-
Backend optimization:
- Database indexing
- Query optimization
- Caching strategies
- Load balancing
-
Frontend optimization:
- Code splitting
- Lazy loading
- Image optimization
- Server-side rendering
// Database query optimization example
// Bad practice
async function getUsersWithPosts() {
const users = await User.find();
return Promise.all(users.map(async user => {
const posts = await Post.find({ author: user._id });
return { ...user.toObject(), posts };
}));
}
// Optimized version
async function getUsersWithPostsOptimized() {
return User.aggregate([
{
$lookup: {
from: 'posts',
localField: '_id',
foreignField: 'author',
as: 'posts'
}
},
{
$project: {
name: 1,
email: 1,
posts: {
title: 1,
createdAt: 1
}
}
}
]);
}
Testing Strategies
A complete full-stack test should include:
- Unit testing (Jest/Mocha)
- Integration testing
- E2E testing (Cypress/Playwright)
- API testing (Supertest)
- Load testing
// Jest test example
describe('User Service', () => {
let userService: UserService;
let userModel: Model<User>;
beforeAll(() => {
userModel = mongoose.model('User', userSchema);
userService = new UserService(userModel);
});
describe('createUser', () => {
it('should create a new user', async () => {
const userData = {
name: 'Test User',
email: 'test@example.com',
password: 'password123'
};
const user = await userService.createUser(userData);
expect(user).toHaveProperty('_id');
expect(user.email).toBe(userData.email);
expect(user.password).not.toBe(userData.password); // Password should be hashed
});
it('should throw error for duplicate email', async () => {
const userData = {
name: 'Test User',
email: 'duplicate@example.com',
password: 'password123'
};
await userService.createUser(userData);
await expect(userService.createUser(userData))
.rejects.toThrow('Email already exists');
});
});
});
Deployment and DevOps
Modern full-stack application deployment requires consideration of:
- Containerization (Docker)
- Orchestration (Kubernetes)
- CI/CD pipelines
- Monitoring and logging
- Auto-scaling
# Frontend Dockerfile example
FROM node:16 as builder
WORKDIR /app
COPY package*.json ./
RUN npm ci
COPY . .
RUN npm run build
FROM nginx:alpine
COPY --from=builder /app/build /usr/share/nginx/html
COPY nginx.conf /etc/nginx/conf.d/default.conf
EXPOSE 80
CMD ["nginx", "-g", "daemon off;"]
# Backend Dockerfile example
FROM node:16
WORKDIR /app
COPY package*.json ./
RUN npm ci --only=production
COPY . .
EXPOSE 3000
CMD ["node", "dist/main.js"]
Evolution of Modern Full-Stack Technologies
New trends in full-stack development:
- Edge computing
- Serverless architecture
- Micro frontends
- WebAssembly
- Full-stack TypeScript
// Serverless function example (AWS Lambda)
import { APIGatewayProxyHandler } from 'aws-lambda';
import { DynamoDB } from 'aws-sdk';
const dynamoDb = new DynamoDB.DocumentClient();
export const handler: APIGatewayProxyHandler = async (event) => {
const params = {
TableName: process.env.TABLE_NAME,
Key: {
id: event.pathParameters.id,
},
};
try {
const result = await dynamoDb.get(params).promise();
if (!result.Item) {
return {
statusCode: 404,
body: JSON.stringify({ error: 'Item not found' }),
};
}
return {
statusCode: 200,
body: JSON.stringify(result.Item),
};
} catch (error) {
return {
statusCode: 500,
body: JSON.stringify({ error: 'Could not retrieve item' }),
};
}
};
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