A comprehensive, step-by-step guide to mastering system design interviews from beginner to advanced levels. This repository is structured like a book with progressive learning paths.
- Target: Complete beginners
- Topics:
- What is system design?
- Client-server architecture
- Basic HTTP/REST concepts
- SQL vs NoSQL databases
- Simple monolithic architecture
- Target: Intermediate learners
- Topics:
- Scalability: Horizontal vs Vertical
- Availability & Reliability
- Latency vs Throughput
- CAP theorem
- Consistency models
- Target: Building competence
- Topics:
- Load balancers
- Caching strategies (Redis, Memcached)
- Database sharding
- Replication
- Message queues
- CDN fundamentals
- Target: Advanced understanding
- Topics:
- API gateways
- Rate limiting
- Service discovery
- Circuit breakers
- Distributed locks
- Target: Application of knowledge
- Systems to design:
- URL shortener (TinyURL)
- Social media (Twitter)
- Ride-sharing (Uber)
- Video streaming (Netflix)
- Messaging (WhatsApp)
- Target: Expert level
- Topics:
- Distributed systems
- Event-driven architecture
- Real-time systems
- Search systems (Elasticsearch)
- Big data pipelines
- Functional requirements
- Non-functional requirements
- Scale estimation
- Define API signatures
- Component diagram
- Data flow
- Technology choices
- Database schema
- Scalability considerations
- Bottleneck identification
- Failure handling
- Security aspects
- Summarize design
- Discuss trade-offs
- Mention improvements
- Q&A
- "Designing Data-Intensive Applications" by Martin Kleppmann
- "System Design Interview" by Alex Xu (Vol 1 & 2)
- "The Pragmatic Programmer" by David Thomas & Andrew Hunt
- Gaurav Sen - System Design
- Tech Dummies - System Design
- CodeKarle - Mock Interviews
- Exponent - System Design
- Pramp - Free mock interviews
- Interviewing.io - Anonymous practice
- LeetCode - System design discussions
- Draw.io - System architecture diagrams
- Excalidraw - Hand-drawn style diagrams
- Miro - Collaborative whiteboarding
- Facebook: Design Facebook News Feed, Facebook Messenger
- Amazon: Design Amazon Shopping Cart, AWS S3
- Apple: Design iMessage, Apple Photos
- Netflix: Design Netflix, Video Streaming Service
- Google: Design Google Search, Google Docs, YouTube
- Uber: Design Uber backend, Surge Pricing
- Twitter: Design Twitter, Twitter Search
- Dropbox: Design Dropbox, File Sync Service
- Airbnb: Design Airbnb, Booking System
- Spotify: Design Spotify, Music Recommendation
- 1 character = 1 byte
- Average tweet = 280 characters β 280 bytes
- 1 million tweets = 280 MB
- 1 billion tweets = 280 GB
- Requests per second (RPS) calculation
- Peak vs average traffic
- Read vs write ratio
- Cache size estimation
- Session storage
- In-memory databases
- Always start with requirements - Don't jump into solutions
- Think out loud - Interviewers want to see your thought process
- Make reasonable assumptions - State them clearly
- Focus on trade-offs - Every design has pros and cons
- Ask questions - Clarify ambiguities
- Draw diagrams - Visualize your architecture
- Practice timing - Mock interviews are crucial
- Stay updated - Follow industry trends
We welcome contributions!
- Add new system design problems
- Improve existing solutions
- Translate to other languages
- Fix typos and errors
- Add more resources
This project is licensed under the MIT License - see the LICENSE file for details.
If you find this helpful, please:
- β Star this repository
- π΄ Fork it
- π Share with friends
- π Report issues
- π‘ Suggest improvements
Remember: System design is not about knowing everything, but about thinking through problems systematically. Practice, learn from each interview, and gradually you'll go from zero to hero!
Start your journey today! π