System Design

Design Systems
That Scale Reliably

Master the architecture patterns behind every senior engineering interview — CAP theorem, load balancing, caching, message queues, microservices, and distributed system design across 23 deep-dive topics.

Beginner → advanced
Interview-ready
Free forever
23TopicsCaching · LB · CAP · Kafka
200+ Interview Qs FAANG-level prep
60+ExamplesRunnable code
~4hRead TimeAll three guides
$0CostFree forever
Core System Design Topics

Start with fundamentals, then go deep on the patterns that appear in every senior interview — caching, load balancing, queues, and microservices.

Prerequisites — Python Knowledge Required
Backend frameworks are built on top of Python. Before diving in, make sure you're comfortable with Python fundamentals — functions, classes, decorators, and virtual environments.
→ Visit the Python guide to get up to speed
Recommended Learning Path

New to backend? Follow this sequence. Each step builds on the previous one.

Step 01
Python Fundamentals
Functions, classes, decorators, virtual environments, pip. These are the building blocks everything else depends on.
Python Guide
Step 02
Start with Flask
Learn routing, templates, and request handling without magic. Flask forces you to understand every layer.
Flask Guide
Step 03
Level Up with Django
ORM, admin panel, auth system — the full-featured framework for building production applications fast.
Django Guide
Step 04
APIs with FastAPI
Async, type-safe, auto-documented APIs. The modern choice for microservices and ML model serving.
FastAPI Guide
Python Backend Frameworks
What is Backend Development?

Backend development is everything that happens behind the scenes of a web application — the server, the database, the business logic, and the APIs that power what users see on screen. While the frontend handles presentation, the backend handles data, security, and processing.

Web Servers
Handle HTTP requests and responses. Nginx, Gunicorn, or framework-built dev servers receive and route traffic.
Databases
Persist and query data. SQL databases like PostgreSQL for structured data, Redis for caching.
REST APIs
JSON endpoints that frontend, mobile, and third-party apps consume. The backbone of modern web architecture.
Authentication
User sessions, JWT tokens, and OAuth flows — controlling who can access what in your application.
Business Logic
The rules and workflows that define how your application behaves — validation, calculations, automation.
Deployment
Shipping to production with Docker, cloud platforms (Railway, Render, AWS), CI/CD pipelines.
Framework Comparison

Not sure which to pick? Here's a side-by-side breakdown across the dimensions that matter most.

Django
Flask
FastAPI
Type Full-stack framework Microframework API framework
Learning Curve Moderate Gentle Steeper (async, types)
Performance Good Good Excellent (async)
Built-in ORM Yes (powerful) No (use SQLAlchemy) No (use SQLAlchemy)
Admin Panel Auto-generated Manual / Flask-Admin None built-in
API Docs DRF / drf-spectacular Flask-RESTX / Flasgger Auto (Swagger UI)
Async Support Partial (Django 3.1+) Partial (Flask 2.0+) Native (ASGI)
Best For SaaS, CMS, E-commerce Prototypes, Microservices APIs, ML serving, Speed
Used By Instagram, Pinterest Netflix, LinkedIn Microsoft, Uber
Which should I learn first?
CHOOSE DJANGO IF…
You want full-stack power
  • Building a complete web app with auth + admin
  • Need an ORM that just works out of the box
  • Targeting SaaS, CMS, or e-commerce
  • Want to see "batteries-included" done right
Open Django Guide →
CHOOSE FLASK IF…
You want to learn from scratch
  • Brand new to backend development
  • Building a prototype or small microservice
  • Want full control over which tools you add
  • Writing a simple REST API with minimal boilerplate
Open Flask Guide →
CHOOSE FASTAPI IF…
You need speed + modern APIs
  • Building high-performance async APIs
  • Serving ML models or data pipelines
  • Want automatic Swagger UI for free
  • Comfortable with Python type hints
Open FastAPI Guide →
Heading into a backend interview?
Python and OOP interview questions — covering decorators, GIL, SOLID principles, and design patterns. Tagged for FAANG and startups.
Python Interview Prep →