Master server-side development with multiple programming languages
Backend development is the backbone of modern web applications, handling server-side logic, database management, API development, and system architecture. This comprehensive roadmap guides you through becoming a proficient backend developer, covering fundamental concepts that apply across all backend technologies. You will learn to build scalable, secure, and efficient server-side applications using industry-standard practices. The roadmap is designed to be language-agnostic in its core concepts, allowing you to specialize in Node.js, Python (Django/Flask), Java (Spring Boot), PHP (Laravel), or Go based on your career goals and industry demands. Backend developers are in high demand across all tech companies, from startups to enterprises, with opportunities in fintech, e-commerce, SaaS, and more. This role requires strong problem-solving skills, understanding of data structures and algorithms, and the ability to design systems that can handle millions of users.
6-8 weeks
Node.js (JavaScript/TypeScript), Python (Django/FastAPI), Java (Spring Boot), PHP (Laravel), Go - understand pros/cons
Master OOP, functional programming, async patterns, error handling
Arrays, trees, graphs, hash tables, sorting, searching, dynamic programming
6-8 weeks
PostgreSQL/MySQL - CRUD, JOINs, indexes, transactions, query optimization
MongoDB, Redis - document stores, caching, CAP theorem
Sequelize (Node.js), SQLAlchemy (Python), Hibernate (Java), Eloquent (PHP)
8-10 weeks
Express/Nest.js (Node), Django/FastAPI (Python), Spring Boot (Java), Laravel (PHP)
HTTP methods, status codes, versioning, pagination, HATEOAS
Swagger/OpenAPI, Postman collections
Queries, mutations, subscriptions, Apollo Server
6-8 weeks
JWT, OAuth 2.0, session management, RBAC
CORS, rate limiting, input validation, SQL injection prevention
Unit tests, integration tests, E2E tests, TDD
8-10 weeks
Service decomposition, inter-service communication, API gateways
RabbitMQ, Kafka, Redis Pub/Sub for async communication
Redis, Memcached, cache invalidation strategies
Scalability, load balancing, database sharding, CAP theorem
6-8 weeks
Containerization basics, Dockerfile, docker-compose
AWS (EC2, RDS, S3, Lambda) or GCP or Azure
GitHub Actions, GitLab CI, automated testing and deployment
Application logs, error tracking (Sentry), performance monitoring