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ashishps1/awesome-system-design-resources

37,341JavaAudience · developerComplexity · 1/5MaintainedLicenseSetup · easy

TLDR

Curated collection of free learning materials for studying system design, how to build large-scale software that handles many users, stays available, and scales efficiently.

Mindmap

mindmap
  root((repo))
    Core Concepts
      Scalability
      Availability
      CAP Theorem
      Consistent Hashing
    Networking
      DNS
      Load Balancing
      HTTP and Proxies
    Data Layer
      SQL vs NoSQL
      Indexing and Sharding
      Replication and Caching
    Patterns
      Message Queues
      Circuit Breakers
      Microservices
      Event-Driven Design
    Interview Problems
      URL Shorteners
      Social Media Apps
      Storage Systems
      Video Platforms

Things people build with this

USE CASE 1

Prepare for system design interviews at large tech companies by studying real interview problems and solutions.

USE CASE 2

Learn how distributed systems work by reading curated articles on scalability, databases, and architectural patterns.

USE CASE 3

Build a mental model of trade-offs in system design by exploring topics like CAP theorem, SQL vs NoSQL, and caching strategies.

Getting it running

Difficulty · easy Time to first run · 5min
Use it freely, but any project you distribute that includes this code must also be GPL-licensed and open source.

In plain English

Awesome System Design Resources is a curated collection of free learning materials for studying system design, the practice of designing large-scale software architectures that can handle many users, remain available under failures, and scale efficiently. System design is a major component of software engineering interviews at large technology companies, and having a structured list of resources makes preparation much easier. The repository organizes links under conceptual categories. Core concepts covers scalability, availability, the CAP theorem (a principle about trade-offs in distributed systems), and consistent hashing. Networking fundamentals covers DNS, load balancing, HTTP, and proxies. The API section covers REST, GraphQL, WebSockets, and rate limiting. Databases covers SQL vs NoSQL trade-offs, indexing, sharding (splitting a database across multiple servers), replication, and caching. Additional sections address asynchronous communication patterns like message queues, distributed systems patterns like circuit breakers and service discovery, and common architectural patterns like microservices and event-driven design. There is also a section of full system design interview problems, walk-throughs for designing systems like URL shorteners, WhatsApp, Twitter, Google Drive, and Netflix, organized by difficulty. You would use this repository when preparing for software engineering interviews at companies that ask system design questions, or when you want to learn how large distributed systems work. The repository is a curated link collection, not runnable code, the listed language of Java refers to some embedded code examples in linked resources. Almost all content is free and links to external articles, blog posts, and videos.

Copy-paste prompts

Prompt 1
I'm preparing for a system design interview. Walk me through how to design a URL shortener using the patterns in this awesome-system-design-resources repo.
Prompt 2
Explain the CAP theorem and consistent hashing concepts from this system design resources collection, and show me how they apply to building a distributed database.
Prompt 3
Using the resources in this repo, help me understand the difference between SQL and NoSQL databases and when to use sharding vs replication.
Prompt 4
Show me how to design a WhatsApp-like messaging system using the microservices and message queue patterns from this system design resources list.
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