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Motivation

Learn how to design large-scale systems and prep for the system design interview.

Learn how to design large-scale systems

Learning how to design scalable systems will help you become a better engineer. System design is a broad topic. There is a vast amount of resources scattered throughout the web on system design principles. This repo is an organized collection of resources to help you learn how to build systems at scale.

Learn from the open source community

This is a continually updated, open source project. Contributions are welcome!

Prep for the system design interview

In addition to coding interviews, system design is a required component of the technical interview process at many tech companies. Practice common system design interview questions and compare your results with sample solutions: discussions, code, and diagrams.

Study guide

Suggested topics to review based on your interview timeline

Anki flashcards

Spaced repetition flashcard decks for key concepts

How to approach a system design interview question

The system design interview is an open-ended conversation. You are expected to lead it.
You can use the following steps to guide the discussion. To help solidify this process, work through the system design interview questions using the following steps.

Step 1: Outline use cases, constraints, and assumptions

Gather requirements and scope the problem. Ask questions to clarify use cases and constraints. Discuss assumptions.
  • Who is going to use it?
  • How are they going to use it?
  • How many users are there?
  • What does the system do?
  • What are the inputs and outputs of the system?
  • How much data do we expect to handle?
  • How many requests per second do we expect?
  • What is the expected read to write ratio?

Step 2: Create a high level design

Outline a high level design with all important components.
  • Sketch the main components and connections
  • Justify your ideas

Step 3: Design core components

Dive into details for each core component. For example, if you were asked to design a url shortening service, discuss:
  • Generating and storing a hash of the full url
    • MD5 and Base62
    • Hash collisions
    • SQL or NoSQL
    • Database schema
  • Translating a hashed url to the full url
    • Database lookup
  • API and object-oriented design

Step 4: Scale the design

Identify and address bottlenecks, given the constraints. For example, do you need the following to address scalability issues?
  • Load balancer
  • Horizontal scaling
  • Caching
  • Database sharding
Discuss potential solutions and trade-offs. Everything is a trade-off. Address bottlenecks using principles of scalable system design.

Back-of-the-envelope calculations

You might be asked to do some estimates by hand. Refer to the Appendix for the following resources:
  • Use back of the envelope calculations
  • Powers of two table
  • Latency numbers every programmer should know

Additional resources

Check out the following links to get a better idea of what to expect:

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