Thiyagarajan Ravichandran 🇮🇳

@trravic

To be a better craftsman in a matter I believe in :) I tweet abt CS Engineering, Cricket, Films and Finance. Views are opinionated 🙂

Neyveli, India

Joined May 2014

1.3K Following

220 Followers

900 Posts

trravic retweeted

Dhairya

@dkare1009

9 days ago

Backend Development Roadmap PHASE 1: PROGRAMMING FUNDAMENTALS ├── Core Programming │ ├── Data structures (arrays, lists, maps/sets) │ ├── Algorithms (searching, sorting, complexity) │ ├── Object-oriented programming │ └── Functional programming concepts ├── Language Proficiency │ ├── Choose primary language: │ │ ├── Java/Spring Boot │ │ ├── Python/Django/FastAPI │ │ ├── JavaScript/Node.js/TypeScript │ │ ├── Go/Golang │ │ └── C#/.NET Core │ └── Language-specific patterns & best practices ├── Development Tools │ ├── Git & GitHub/GitLab │ ├── IDE (VS Code, IntelliJ, PyCharm) │ ├── Package managers (npm, pip, Maven) │ └── Basic command line usage PHASE 2: WEB FUNDAMENTALS ├── HTTP Protocol │ ├── Request/Response cycle │ ├── Methods (GET, POST, PUT, DELETE) │ ├── Status codes (200, 201, 400, 404, 500) │ ├── Headers and cookies │ └── RESTful principles ├── APIs │ ├── REST API design │ ├── JSON/XML handling │ ├── API documentation (OpenAPI/Swagger) │ ├── API versioning strategies │ └── Rate limiting and throttling ├── Authentication & Authorization │ ├── Sessions vs tokens │ ├── JWT (JSON Web Tokens) │ ├── OAuth 2.0 / OpenID Connect │ └── Role-based access control (RBAC) PHASE 3: DATABASES ├── SQL Databases │ ├── PostgreSQL / MySQL │ ├── Database design & normalization │ ├── Indexes and query optimization │ ├── ACID properties │ └── ORMs (Hibernate, SQLAlchemy, Prisma) ├── NoSQL Databases │ ├── Document DBs (MongoDB) │ ├── Key-Value stores (Redis) │ ├── Wide-column stores (Cassandra) │ └── Graph databases (Neo4j) - optional ├── Database Advanced │ ├── Transactions and locking │ ├── Connection pooling │ ├── Database migrations │ └── Read replicas and sharding PHASE 4: BACKEND FRAMEWORKS ├── Framework Mastery (Choose one primary) │ ├── Spring Boot (Java) │ │ ├── Dependency injection │ │ ├── Spring Data JPA │ │ ├── Spring Security │ │ └── Spring Cloud (microservices) │ ├── Django/FastAPI (Python) │ │ ├── Django ORM/DRF │ │ ├── FastAPI async │ │ ├── Pydantic models │ │ └── Celery for tasks │ ├── Express/Nest.js (Node.js) │ │ ├── Middleware patterns │ │ ├── Dependency injection │ │ ├── Nest.js modules │ │ └── TypeORM/Prisma │ └── .NET Core (C#) │ ├── Entity Framework │ ├── https://t.co/QskBOARTxz Core MVC/Web API │ └── Dependency injection ├── Advanced Concepts │ ├── Dependency injection │ ├── Middleware/interceptors │ ├── Validation and serialization │ └── Background jobs/queues PHASE 5: SYSTEM DESIGN ├── Design Principles │ ├── SOLID principles │ ├── Design patterns (Factory, Singleton, Observer) │ ├── Microservices vs Monolith │ └── Domain-Driven Design (DDD) basics ├── Scalability Patterns │ ├── Load balancing │ ├── Caching strategies (Redis, Memcached) │ ├── CDN integration │ └── Database scaling (read replicas, sharding) ├── Communication Patterns │ ├── Synchronous (REST, gRPC) │ ├── Asynchronous (message queues) │ ├── Event-driven architecture │ └── WebSockets for real-time PHASE 6: DEVOPS & DEPLOYMENT ├── Containerization │ ├── Docker fundamentals │ ├── Docker Compose for local dev │ ├── Dockerfile optimization │ └── Multi-stage builds ├── Cloud Platforms (Choose one) │ ├── AWS (EC2, RDS, S3, Lambda, ECS/EKS) │ ├── Azure (App Service, SQL Database, Functions, AKS) │ ├── Google Cloud (Compute Engine, Cloud SQL, GKE) │ └── Serverless concepts ├── CI/CD Pipeline │ ├── GitHub Actions / GitLab CI / Jenkins │ ├── Automated testing in pipeline │ ├── Deployment strategies (blue-green, canary) │ └── Infrastructure as Code (Terraform, CloudFormation) PHASE 7: MICROSERVICES & DISTRIBUTED SYSTEMS ├── Microservices Architecture │ ├── Service decomposition │ ├── Inter-service communication │ ├── API Gateway pattern │ └── Service discovery ├── Message Brokers │ ├── RabbitMQ / Apache Kafka │ ├── Pub/Sub patterns │ ├── Event sourcing │ └── Message ordering and delivery guarantees ├── Resilience & Observability │ ├── Circuit breakers (Hystrix, Resilience4j) │ ├── Distributed tracing (Jaeger, Zipkin) │ ├── Centralized logging (ELK stack) │ └── Metrics collection (Prometheus, Grafana) PHASE 8: ADVANCED TOPICS ├── Performance Optimization │ ├── Profiling tools │ ├── Database query optimization │ ├── Connection pooling │ └── Garbage collection tuning (language-specific) ├── Security │ ├── OWASP Top 10 │ ├── Input validation and sanitization │ ├── SQL injection prevention │ ├── Encryption (SSL/TLS, data at rest) │ └── Security headers ├── Testing Strategies │ ├── Unit testing (JUnit, pytest, Jest) │ ├── Integration testing │ ├── End-to-end testing │ ├── Test doubles (mocks, stubs) │ └── Test-driven development (TDD) PHASE 9: SPECIALIZED DOMAINS (CHOOSE 1-2) ├── Real-time Systems │ ├── WebSocket implementation │ ├── https://t.co/ZlvRv8zrXP (Node.js) │ ├── SignalR (.NET) │ └── Real-time database (Firebase) ├── Search & Analytics │ ├── Elasticsearch / OpenSearch │ ├── Full-text search implementation │ ├── Log aggregation │ └── Analytics pipelines ├── Machine Learning Integration │ ├── Model serving (TensorFlow Serving, TorchServe) │ ├── Feature stores │ └── ML pipelines ├── FinTech / High-Frequency Systems │ ├── Low-latency optimization │ ├── Financial data processing │ └── High-volume transaction systems LEARNING RESOURCES ├── Documentation │ ├── Official framework docs │ ├── MDN Web Docs │ └── Cloud provider documentation ├── Practice Platforms │ ├── LeetCode (algorithms) │ ├── HackerRank │ ├── System design practice (https://t.co/adTpYP4aWh) │ └── Build your own projects ├── Books │ ├── Grab The Backend Engineering Handbook:https://t.co/billT6ZTfk PROJECTS TO BUILD 1. REST API with CRUD operations (Blog API, Todo API) 2. E-commerce backend (products, cart, orders, payments) 3. Real-time chat application 4. Microservices-based system (3-4 services) 5. Social media backend with feeds, notifications, messaging 6. Analytics pipeline with data processing CAREER PATHS ├── Junior Backend Developer (0-2 years) │ ├── Focus: Framework proficiency, basic DB skills ├── Mid-Level Backend Developer (2-5 years) │ ├── Focus: System design, distributed systems basics ├── Senior Backend Developer (5+ years) │ ├── Focus: Architecture decisions, mentoring, cross-team collaboration ├── Specialization Paths │ ├── Cloud/DevOps Engineer │ ├── Data Engineer │ ├── Platform Engineer │ └── Security Engineer Estimated Time: 1-2 years for solid foundation, 3-5 years for senior level Key Principle: Build, deploy, monitor, iterate. Real-world projects > tutorials. Progression Strategy: 1. Months 1-3: Language + Framework + Basic API 2. Months 4-6: Database + Authentication + Testing 3. Months 7-12: Docker + Cloud + Basic System Design 4. Year 2: Microservices + Advanced Topics 5. Year 3+: Specialization + Architecture Backend Mindset: Always consider scalability, security, and maintainability from day one. Every line of code should answer "what happens when this gets 1000x more traffic/users/data?"