Introduction

This guide provides a structured learning path for system design interviews, organized by difficulty level, technology categories, and real-world system examples. Use this as your roadmap to master system design concepts.

Learning Path

Level 1: Fundamentals (Beginner)

Goal: Understand basic system design concepts and terminology.

Core Concepts

Basic System Designs

Local System Components

Level 2: Intermediate Systems

Goal: Design distributed systems with scalability and reliability.

Distributed Storage & Databases

Messaging & Real-Time Systems

Search & Analytics

Social & Media

Level 3: Advanced Systems

Goal: Design complex, large-scale distributed systems.

Large-Scale Platforms

E-Commerce & Marketplace

Gaming & Entertainment

Financial Systems

Collaboration & Productivity

AI & ML Systems

Specialized Systems

AR/Glass Systems

Embedded & Local Systems

Technology Tree

Core Technologies by Category

Databases

Relational Databases:

NoSQL Databases:

Specialized Databases:

Data Warehouses:

Caching & In-Memory

Message Queues & Streaming

Message Queues:

Streaming:

Cloud Storage

Search & Analytics

Coordination & Consensus

APIs & Communication

Infrastructure & DevOps

Containerization:

Infrastructure as Code:

Load Balancing:

Workflow Orchestration:

Data Integration:

Monitoring & Observability

Data Formats

Theory & Concepts

Sample System Designs by Category

Social Media & Feed Systems

  1. Twitter-Style Platform
  2. Instagram-Style Platform
  3. Facebook-Style Platform

Video & Media Platforms

  1. YouTube-Style Platform
  2. Netflix-Style Platform

E-Commerce & Marketplace

  1. Reservation Systems
  2. Marketplace Systems
  3. Price Tracking

Messaging & Communication

  1. Chat Systems
  2. Pub/Sub Systems
  3. Notification Systems

Storage & File Systems

  1. Object Storage
  2. Version Control

Search & Discovery

  1. Search Systems
  2. Analytics

Gaming & Entertainment

  1. Gaming Platforms
  2. Game Systems

Financial Systems

  1. Trading Platforms
  2. Payment Systems
  3. Ride-Sharing

AI & ML Systems

  1. LLM Services
  2. Translation Services

Infrastructure & Operations

  1. Scheduling
  2. Logging & Monitoring
  3. Data Engineering

AR/Glass Systems

  1. Smart Glasses

IoT & Embedded Systems

  1. IoT Systems
  2. Embedded Systems

Architecture Patterns & Guides

Cloud-Native Architecture

Embedded Systems Architecture

Domain-Specific Patterns

Interview Preparation

How to Use This Guide

For Beginners

  1. Start with Level 1: Fundamentals
  2. Read the System Design Interview Framework
  3. Practice basic system designs
  4. Learn core technologies (Redis, PostgreSQL, Kafka)

For Intermediate Learners

  1. Complete Level 2: Intermediate Systems
  2. Focus on distributed systems concepts
  3. Study technology guides for your chosen stack
  4. Practice designing systems from scratch

For Advanced Learners

  1. Master Level 3: Advanced Systems
  2. Study large-scale platform designs
  3. Deep dive into specialized technologies
  4. Practice complex, multi-component systems

Interview Preparation

  1. Review sample designs in your target category
  2. Study relevant technology guides
  3. Practice explaining trade-offs
  4. Time yourself on full system designs

Quick Reference

Most Common Interview Questions

  • Design Twitter/X
  • Design YouTube
  • Design a URL Shortener
  • Design a Chat System
  • Design Instagram
  • Design Netflix
  • Design Uber
  • Design a Rate Limiter

Essential Technologies to Know

  • Databases: PostgreSQL, MongoDB, Redis, Cassandra
  • Caching: Redis, Memcached
  • Message Queues: Kafka, RabbitMQ, SQS
  • Storage: S3, CDN
  • Load Balancing: NGINX, Load Balancer
  • Containerization: Docker, Kubernetes

Key Concepts

  • CAP Theorem
  • ACID vs BASE
  • Sharding & Partitioning
  • Replication & Consistency
  • Caching Strategies
  • Load Balancing Algorithms
  • Message Queue Patterns

Summary

This learning path provides a structured approach to mastering system design:

  1. Start with Fundamentals: Learn basic concepts and simple systems
  2. Progress to Intermediate: Build distributed systems knowledge
  3. Master Advanced Topics: Design large-scale, complex systems
  4. Study Technologies: Deep dive into tools and frameworks
  5. Practice Regularly: Design systems from scratch

Use this guide as your roadmap, and refer back to specific posts as you progress through your system design journey.