15 System Design Case Studies to Master in 3 Weeks

If you want to become good at system design (in 3 weeks), learn these 15 case studies:

1. How Stock Exchange Works:
   https://lnkd.in/eNf2QxVZ
   Learn about high-frequency trading systems, order matching algorithms, and real-time data processing that handles millions of transactions per second with microsecond latency requirements.
2. How LLMs Like ChatGPT Work:
   https://lnkd.in/eSd6fS7n
   Dive into transformer architecture, attention mechanisms, and large-scale training pipelines that power modern language models and conversational AI systems.
3. How Twitter Timeline Works:
   https://lnkd.in/eniXMPfU
   Explore the "fan-out on write" approach, timeline generation algorithms, and caching strategies that deliver personalized content feeds to hundreds of millions of users.
4. How Uber Finds Nearby Drivers at 1 Million Requests per Second:
   https://lnkd.in/eeqH9Hjh
   Understand geospatial indexing techniques, real-time driver matching algorithms, and load balancing systems that power location-based services at massive scale.
5. How to Scale an App to 10 Million Users on AWS:
   https://lnkd.in/eU736g9Q
   Master AWS services, auto-scaling configurations, database sharding strategies, and cloud architecture patterns for handling exponential user growth.
6. How Bluesky Works:
   https://lnkd.in/eEhB8V_k
   Discover decentralized social networking architecture, the AT protocol, and federation models that enable user-owned social media platforms.
7. How Kafka Works:
   https://lnkd.in/eTtVAjTg
   Learn about distributed messaging systems, publish-subscribe patterns, partitioning strategies, and fault-tolerant data streaming architectures.
8. How Slack Works:
   https://lnkd.in/eATMDjrK
   Explore real-time messaging infrastructure, WebSocket connections, message persistence, and the challenges of building collaborative communication platforms.
9. How Does Google Docs Work:
   https://lnkd.in/ehPNA7Az
   Understand operational transformation algorithms, real-time collaboration mechanisms, and conflict resolution strategies for multi-user document editing.
10. How YouTube Was Able to Support 2.49 Billion Users With MySQL:
    https://lnkd.in/efmJw4Dx
    Learn database optimization techniques, caching layers, content delivery networks, and scaling strategies for video streaming platforms.
11. How Reddit Works:
    https://lnkd.in/egmm_P7a
    Discover voting algorithms, content moderation systems, and scaling architectures for handling massive amounts of user-generated content and discussions.
12. How Spotify Works:
    https://lnkd.in/eGbWVeNW
    Explore music streaming infrastructure, recommendation algorithms, content delivery systems, and the technical challenges of on-demand audio playback.
13. How URL Shortener Works:
    https://lnkd.in/evFTZVQq
    Learn about hashing algorithms, database design for high-throughput systems, and redirect mechanisms for URL shortening services.
14. Redis Use Cases:
    https://lnkd.in/ekJMjMG3
    Understand in-memory data structures, caching patterns, session management, and pub-sub messaging implementations using Redis.
15. How Meta Handles 11.5M Serverless Function Calls per Second:
    https://lnkd.in/eNyYKCQD
    Dive into serverless architecture at massive scale, function orchestration, performance optimization, and handling billions of daily executions.

These case studies cover a wide range of system design concepts from real-world applications. Studying them will give you practical insights into scaling, architecture, and problem-solving in distributed systems.