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#### System Design Case Study

| | | | | | | | | |
|:-: |:-: |:-: |:-: |:-: |:-: |:-: |:-: |:-: |
| # | A | B | C | D | [](#e-companies) | F | G | H |
| I | [](#j-companies) | K | L | M | N | [](#o-companies) | P | Q |
| R | S | T | U | V | W | [](#x-companies) | Y | Z |


#### System Design Fundamentals

| | | | | | | | | |
|:-: |:-: |:-: |:-: |:-: |:-: |:-: |:-: |:-: |
| # | A | B | C | D | [](#e-technologies) | F | G | H |
| [](#i-technologies) | J | K | L | M | N | [](#o-technologies) | P | Q |
| R | S | [](#t-technologies) | [](#u-technologies) | [](#v-technologies) | W | [](#x-technologies) | [](#y-technologies) | [](#z-technologies) |


#### System Design Interview

| | | | | | | | | |
|:-: |:-: |:-: |:-: |:-: |:-: |:-: |:-: |:-: |
| # | A | [](#b-interview) | C | [](#d-interview) | [](#e-interview) | [](#f-interview) | [](#g-interview) | [](#h-interview) |
| [](#i-interview) | [](#j-interview) | [](#k-interview) | [](#l-interview) | [](#m-interview) | [](#n-interview) | [](#o-interview) | [](#p-interview) | [](#q-interview) |
| R | S | T | [](#u-interview) | [](#v-interview) | W | [](#x-interview) | Y | [](#z-interview) |


#### AI Engineering

| | | | | | | | | |
|:-: |:-: |:-: |:-: |:-: |:-: |:-: |:-: |:-: |
| # | A | [](#b-ai) | C | [](#d-ai) | [](#e-ai) | [](#f-ai) | G | [](#h-ai) |
| [](#i-ai) | [](#j-ai) | [](#k-ai) | L | M | [](#n-ai) | [](#o-ai) | [](#p-ai) | [](#q-ai) |
| R | [](#s-ai) | [](#t-ai) | [](#u-ai) | [](#v-ai) | [](#w-ai) | [](#x-ai) | [](#y-ai) | [](#z-ai) |


#### Software White Papers

| | | | | | | | | |
|:-: |:-: |:-: |:-: |:-: |:-: |:-: |:-: |:-: |
| [](#-white-papers) | [](#a-white-papers) | [](#b-white-papers) | [](#c-white-papers) | D | [](#e-white-papers) | [](#f-white-papers) | [](#g-white-papers) | [](#h-white-papers) |
| [](#i-white-papers) | [](#j-white-papers) | [](#k-white-papers) | [](#l-white-papers) | [](#m-white-papers) | [](#n-white-papers) | [](#o-white-papers) | [](#p-white-papers) | [](#q-white-papers) |
| [](#r-white-papers) | S | [](#t-white-papers) | [](#u-white-papers) | [](#v-white-papers) | [](#w-white-papers) | X | [](#y-white-papers) | [](#z-white-papers) |


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System Design

System Design Case Study

#### \# companies

- Real-Time Gaming Leaderboard
- Real-Time Live Comments
- Distributed Counter
- Real Time Presence Platform

#### A companies

- How to Scale an App to 10 Million Users on AWS
- This Is How Airbnb Adopted HTTP Streaming to Save 84 Million USD in Costs
- Amazon Prime Video Microservices Top Failure
- How Amazon S3 Achieves 99.999999999% Durability
- How Amazon Lambda Works
- How Amazon S3 Works
- How Do Apple AirTags Work
- How Apple Pay Handles 41 Million Transactions a Day Securely
- How Amazon S3 Achieves Strong Consistency

#### B companies

- Bitly URL Shortener Architecture
- How Does Bluesky Work

#### C companies

- How Canva Supports Real-Time Collaboration for 135 Million Monthly Users
- How Cloudflare Was Able to Support 55 Million Requests per Second With Only 15 Postgres Clusters

#### D companies

- How Disney+ Hotstar Delivered 5 Billion Emojis in Real Time
- How Disney+ Hotstar Scaled to 25 Million Concurrent Users
- How Disney+ Scaled to 11 Million Users on Launch Day
- How Discord Boosts Performance With Code-Splitting
- How Dropbox Scaled to 100 Thousand Users in a Year After Launch

#### F companies

- How Facebook Scaled Live Video to a Billion Users
- How Facebook Was Able to Support a Billion Users via Software Load Balancer
- How Figma Scaled Postgres to 4M Users


#### G companies

- How Google Search Works
- How Giphy Delivers 10 Billion GIFs a Day to 1 Billion Users
- How to Scale an App to 100 Million Users on GCP
- How Google Docs Works

#### H companies

- How Hashnode Generates Feed at Scale
- How Halo Scaled to 11.6 Million Users Using the Saga Design Pattern

#### I companies

- How Instagram Scaled to 2.5 Billion Users


#### K companies

- How Khan Academy Scaled to 30 Million Users

#### L companies

- How LinkedIn Scaled to 930 Million Users
- How LinkedIn Adopted Protocol Buffers to Reduce Latency by 60%
- Tech Stack Evolution at Levels fyi
- How Lyft Support Rides to 21 Million Users

#### M companies

- How McDonald’s Food Delivery Platform Handles 20,000 Orders per Second
- How Meta Achieves 99.99999999% Cache Consistency

#### N companies

- How Does Netflix Work?
- Microservices Lessons From Netflix
- How Netflix Uses Chaos Engineering to Create Resilience Systems

#### P companies

- How PayPal Was Able to Support a Billion Transactions per Day With Only 8 Virtual Machines
- Pastebin

#### Q companies

- This Is How Quora Shards MySQL to Handle 13+ Terabytes

#### R companies

- How Razorpay Scaled to Handle Flash Sales at 1500 Requests per Second
- How Reddit Works

#### S companies

- Slack Architecture
- Virtual Waiting Room Architecture That Handles High-Demand Ticket Sales at SeatGeek
- How Shopify Handles Flash Sales at 32 Million Requests per Minute
- This Is How Stripe Does Rate Limiting to Build Scalable APIs
- How Stripe Prevents Double Payment Using Idempotent API

#### T companies

- Tumblr Shares Database Migration Strategy With 60+ Billion Rows
- 6 Proven Guidelines on Open Sourcing From Tumblr
- How Tinder Scaled to 1.6 Billion Swipes per Day

#### U companies

- How Uber Computes ETA at Half a Million Requests per Second
- How Uber Finds Nearby Drivers at 1 Million Requests per Second
- How Uber Payment System Handles 30 Million Transactions Per Day

#### W companies

- 8 Reasons Why WhatsApp Was Able to Support 50 Billion Messages a Day With Only 32 Engineers
- Wechat Architecture That Powers 1.67 Billion Monthly Users

#### Y companies

- 11 Reasons Why YouTube Was Able to Support 100 Million Video Views a Day With Only 9 Engineers
- How YouTube Was Able to Support 2.49 Billion Users With MySQL

#### Z companies

- 5 Reasons Why Zoom Was Able to Support 300 Million Video Calls a Day
- How Zapier Automates Billions of Tasks

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System Design Fundamentals

#### \# technologies

- Back of the Envelope
- How to Troubleshoot if You Can’t Access a Particular Website?
- What Happens When You Type a URL Into Your Browser?
- System Design Interview Cheat Sheet
- Software Engineer Interview Learning Resources
- 7 Simple Ways to Fail System Design Interview
- Amazon Frugal Architecture Explained
- 11 System Design Concepts Explained, Simply
- 114 System Design Concepts - Part 1
- 114 System Design Concepts - Part 2
- 114 System Design Concepts - Part 3
- How Timsort Algorithm Works
- Mobile System Design Concepts - Part 1


#### A technologies

- Actor Model
- How API Gateway Works
- API Gateway vs Load Balancer vs Reverse Proxy
- Best Practices for API Design
- Best Practices for API Security
- API Versioning

#### B technologies

- Bloom Filter

#### C technologies

- Cell Based Architecture
- Consistency Patterns
- Top 5 Caching Patterns
- How to Scale Code Reviews
- Code Review Best Practices
- How Discord Boosts Performance With Code-Splitting
- Consistent Hashing
- Concurrency Is Not Parallelism
- 15 Pitfalls That Break Cloud Systems
- Cybersecurity Terms Every Software Engineer Must Know
- The Entire Computer Science Stack, Explained In 51 Images


#### D technologies

- How Databases Keep Passwords Securely
- How DNS Works
- Deployment Patterns
- Distributed Systems Deep Dive

#### F technologies
- 21 Frontend System Design Concepts for Software Engineers


#### G technologies

- Gossip Protocol
- 21 Git Commands

#### H technologies

- Hinted Handoff
- How Does HTTPS Work
- Must Know HTTP Headers
- What Is High Availability

#### J technologies

- How JWT Works

#### K technologies

- How Kafka Works

#### L technologies

- How Load Balancing Algorithms Work

#### M technologies

- Micro Frontends
- Microservices Lessons From Netflix
- How Shopify Handled 30TB per Minute With a Modular Monolith Architecture
- 1 Simple Technique to Scale Microservices Architecture
- How Message Queues Work

#### N technologies

- How Nginx Was Able to Support 1 Million Concurrent Connections on a Single Server

#### P technologies

- Forward proxy vs Reverse proxy

#### Q technologies

- Quotient Filter

#### R technologies

- Redis Use Cases
- Rate Limiting Strategies Explained
- How Remote Procedure Call Works

#### S technologies

- Service Discovery
- How Sidecar Pattern Works
- Stacked Diffs, Simply Explained
- How Stock Exchange Works - Part 1
- How Stock Exchange Handles Concurrency at Scale - Part 2
- Design Stock Exchange: A Deep Dive - Part 3

#### W technologies

- How Do Websockets Work
- How Do Webhooks Work

---

System Design Interview

#### \# interviews

- System Design Interview Framework
- Behavioral Interview Playbook
- Mobile System Design Interview Framework

#### A interview
- System Design Interview: Design Airbnb

#### C interview
- System Design Interview: Design ChatGPT

#### R interview
- Software Engineer Resume

#### S interview
- System Design Interview: Design Spotify
- System Design Interview: Design Web Crawler and Search Engine
- System Design Interview: Design Amazon S3

#### T interview
- Design Twitter/X Timeline - A Frontend Deep Dive

#### W interview
- Design WhatsApp, Part 2

#### Y interview
- Design YouTube

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AI Engineering

#### A ai

- How AI Agents Work
- How to design your own AI agent
- 11 AI Concepts Explained, Simply

#### C ai

- AI Coding Workflow
- What is Context Engineering?
- Context Engineering vs Prompt Engineering
- How ChatGPT Apps Work


#### G ai
- Everything You Need to Know to Design GenAI Systems From Scratch

#### L ai

- LLM Concepts, Simply Explained

#### M ai

- MCP - A Deep Dive


#### R ai

- What Is Reinforcement Learning
- How RAG Works


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Software White Papers

#### D white papers

- Amazon Dynamo


#### S white papers

- Google Spanner


#### X white papers

- Meta Serverless Architecture: XFaaS

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