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Backend Development

Backend development is simple, you just need to learn these...

1. Internet & Protocol Basics

  • HTTP HTTPS History
  • HTTP methods
  • Status codes
  • Request headers
  • Response headers

2. API Development

  • API design
  • RESTful APIs
  • GraphQL
  • WebSockets
  • Server-side rendering
  • API versioning
  • API Gateway
  • API docs (Swagger/OpenAPI)
  • Postman/Insomnia

3. Backend Core Concepts

  • Middleware
  • Error handling
  • Logging
  • Input validation
  • Output sanitization
  • File uploads
  • Streaming data
  • Pagination
  • Filtering and sorting
  • Background jobs
  • Cron jobs
  • Task scheduling
  • Worker processes

4. Authentication & Security

Authentication & Authorization

  • Authentication
  • Authorization
  • JWT tokens
  • Session management
  • Cookies
  • OAuth 2.0
  • Two-factor authentication (2FA)
  • Single sign-on (SSO)

Access Control

  • RBAC (Role-Based Access Control)
  • ABAC (Attribute-Based Access Control)

Security Best Practices

  • CORS (Cross-Origin Resource Sharing)
  • CSRF protection
  • XSS prevention
  • SQL injection prevention
  • Password hashing
  • Bcrypt/Argon2
  • Salt and pepper
  • Secrets management

5. Databases

Concept & Design

  • Database design
  • ACID properties
  • CAP theorem
  • Normalization
  • Denormalization
  • Transactions

Technologies & Tools

  • SQL queries
  • NoSQL databases
  • ORM (Object-Relational Mapping)
  • Database indexing
  • Query optimization
  • Connection pooling
  • Migrations
  • Seeding data

Search & Indexing

  • Full-text search
  • Elasticsearch

6. Caching & Performance

  • Caching strategies
  • Redis
  • Memcached
  • CDN integration
  • Rate limiting
  • Throttling

7. Architecture & Scalability

Architectural Patterns

  • Monolithic architecture
  • Microservices architecture
  • Service-oriented architecture (SOA)
  • Event-driven architecture
  • CQRS pattern
  • Saga pattern

Scaling Strategies

  • Horizontal scaling
  • Vertical scaling
  • Load balancing

Messaging & Communication

  • Message queues
  • Pub/Sub patterns
  • Service mesh

8. DevOps & Infrastructure

  • Docker containers
  • Kubernetes orchestration
  • CI/CD pipelines
  • Environment variables
  • Configuration management
  • Process management
  • Production deployment strategies

9. System Internals & Runtime

  • Async/await patterns
  • Promises
  • Callbacks
  • Thread pools
  • Memory management
  • Garbage collection
  • Performance profiling
  • Benchmarking

10. Testing, Quality & Tools

  • Testing (unit, integration, E2E)
  • Mocking and stubbing
  • Application performance monitoring (APM)
  • Monitoring
  • Debugging techniques
  • Code review practices
  • Version control (Git)

Released under the MIT License.