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systemdesign42/system-design-academy

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TLDR

A curated learning guide for understanding how large-scale software systems work, with real-world case studies and interview prep for system design.

Mindmap

mindmap
  root((repo))
    What it covers
      Real-world case studies
      System fundamentals
      Interview preparation
    Learning topics
      Load balancing
      Caching strategies
      Distributed databases
      Message queues
    Real examples
      Netflix architecture
      Instagram scaling
      Discord messaging
      Google Search
    How to use
      Prepare for interviews
      Learn design patterns
      Study company decisions
      Understand trade-offs

Things people build with this

USE CASE 1

Prepare for system design interviews at large tech companies by studying real-world architectural patterns.

USE CASE 2

Understand how popular services like Netflix, Instagram, and Discord scaled to millions of users.

USE CASE 3

Learn core distributed systems concepts like load balancing, caching, and message queues through case studies.

USE CASE 4

Study engineering trade-offs and design decisions behind well-known applications.

Getting it running

Difficulty · easy Time to first run · 5min
License could not be detected automatically. Check the repository's LICENSE file before use.

In plain English

System Design Academy is a curated learning resource for software engineers who want to understand how large-scale systems are built and how to discuss them in interviews. System design is the practice of planning how the different parts of a software system, databases, servers, caches, APIs, fit together to handle millions of users reliably. The repository is essentially a structured index of articles and case studies, organized alphabetically and by category. It covers three main areas: real-world case studies (how companies like Netflix, Instagram, Airbnb, Google, and Discord actually built their systems), system design fundamentals (core concepts like load balancing, caching, distributed databases, and message queues), and interview preparation (how to approach and structure answers in system design interviews). You would use this if you are a software engineer preparing for technical interviews at large tech companies, or if you simply want to understand the engineering decisions behind popular apps and services, why Google Search is built the way it is, how Dropbox scaled to millions of users, or how Discord handles real-time messaging. The content is delivered primarily through a linked newsletter rather than code in the repository itself.

Copy-paste prompts

Prompt 1
How would I design a system like Netflix that streams video to millions of users? Walk me through the key components.
Prompt 2
What are the main differences between load balancing, caching, and database sharding? Give me examples from real systems.
Prompt 3
I have a system design interview next week. What's the best way to structure my answer and what should I focus on?
Prompt 4
Explain how Discord handles real-time messaging for millions of concurrent users. What technologies would they use?
Prompt 5
What are the trade-offs between using a single database versus distributed databases for a large-scale application?
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