Master backend development with Node.js, Python, Java, Go, Rust, API design, databases, and microservices. Use when building APIs, designing systems, or learning backend frameworks.
Backend Technologies Skill
Quick Start - Express.js API
import express, { Request, Response } from 'express';
import { prisma } from './lib/prisma';
const app = express();
app.use(express.json());
// GET all users
app.get('/users', async (req: Request, res: Response) => {
try {
const users = await prisma.user.findMany();
res.json(users);
} catch (error) {
res.status(500).json({ error: 'Failed to fetch users' });
}
});
// POST new user
app.post('/users', async (req: Request, res: Response) => {
const { email, name } = req.body;
try {
const user = await prisma.user.create({
data: { email, name }
});
res.status(201).json(user);
} catch (error) {
res.status(400).json({ error: 'Invalid data' });
}
});
app.listen(3000, () => console.log('Server running on 3000'));
Core Technologies
Languages
- Node.js - JavaScript runtime
- Python - Versatile with many frameworks
- Java - Enterprise standard
- Go - Concurrent systems
- Rust - Systems programming
Web Frameworks
- Express, Fastify, NestJS (Node.js)
- Django, FastAPI, Flask (Python)
- Spring Boot, Quarkus (Java)
- Gin, Fiber (Go)
- Actix, Axum (Rust)
Databases
- SQL: PostgreSQL, MySQL
- NoSQL: MongoDB, DynamoDB
- Cache: Redis, Memcached
- Search: Elasticsearch
API & Messaging
- REST APIs with best practices
- GraphQL API design
- gRPC for microservices
- WebSockets for real-time
- Kafka, RabbitMQ for messaging
ORM/Query Tools
- Prisma, Sequelize (Node.js)
- SQLAlchemy, Tortoise (Python)
- Hibernate, Spring Data (Java)
- GORM (Go)
Best Practices
- API Design - RESTful or GraphQL standards
- Database - Proper indexing and optimization
- Security - Input validation, parameterized queries
- Error Handling - Meaningful error messages
- Testing - Unit and integration tests
- Documentation - OpenAPI/Swagger docs
- Logging - Structured logging
- Performance - Response time optimization
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