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coder-world04/complete-system-design

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TLDR

A curated collection of links for learning system design concepts and studying real-world architecture case studies, aimed at software developers preparing for senior engineering interviews at large tech companies.

Mindmap

mindmap
  root((system design))
    Core concepts
      Load balancing
      Caching strategies
      Database sharding
      CAP theorem
    Case studies
      Instagram
      Netflix
      Uber
      Twitter
    Extra resources
      YouTube channel
      Substack newsletter
      External articles
    Use cases
      Interview prep
      Architecture learning
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Things people build with this

USE CASE 1

Study foundational system design concepts such as load balancing, caching, and sharding before a technical interview

USE CASE 2

Read architecture case studies for products like Instagram, Netflix, and Uber to understand how real systems scale

USE CASE 3

Follow a structured path from basics to advanced system design without assembling your own reading list

USE CASE 4

Supplement study with linked YouTube videos and Substack breakdowns of real company engineering decisions

Getting it running

Difficulty · easy Time to first run · 5min

In plain English

This repository is a curated study guide for learning system design, aimed at software developers preparing for technical interviews at large technology companies. System design is the practice of planning how large-scale software systems are structured: how to handle millions of users, store and retrieve data quickly, keep services running reliably, and scale capacity up or down as demand changes. These topics come up regularly in senior-level software engineering interviews, where candidates are asked to sketch out how they would build something like a social media platform or a video streaming service. The repository does not contain runnable code. It is primarily a collection of links organized into two sections. The first covers foundational concepts: topics like load balancing, message queues, caching, database sharding, the CAP theorem, content delivery networks, concurrency, and microservices architecture, each pointing to an external article in a numbered series. The second section is a table of system design case studies for specific products, including Instagram, Twitter, YouTube, Netflix, Uber, Dropbox, TikTok, and around twenty others, again linking to external write-ups. Additional links point to a companion YouTube channel, a Substack newsletter with real-world engineering breakdowns covering how companies like Lyft, Facebook, and PayPal handle their infrastructure at scale, and a data structures and algorithms study series. The repository is maintained by a creator who publishes technical education content across Medium, Substack, and YouTube. The README is dense with links but light on explanatory text, so most of the actual learning happens on the linked platforms rather than directly in the repository. No software license is stated.

Copy-paste prompts

Prompt 1
I have a system design interview at a big tech company next week. Give me a focused 5-day study plan based on the most commonly tested topics like caching, load balancing, sharding, and CAP theorem.
Prompt 2
Walk me through how to design an image-sharing app like Instagram at scale, cover storage, CDN, feed generation, and database choices.
Prompt 3
Explain the CAP theorem in plain English and tell me how it affects the decision between SQL and NoSQL databases when designing a high-traffic system.
Prompt 4
I need to design a URL shortener for a system design interview. Walk me through the key decisions: hashing strategy, storage, redirect handling, and how to scale it.
Prompt 5
What are the main differences between vertical scaling and horizontal scaling, and when should I choose each for a web application?
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