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- Real-Time Gaming Leaderboard
- Real-Time Live Comments
- Distributed Counter
- Real Time Presence Platform
- 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
- 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
- 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
- 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
- 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
- How Hashnode Generates Feed at Scale
- How Halo Scaled to 11.6 Million Users Using the Saga Design Pattern
- 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
- How McDonaldβs Food Delivery Platform Handles 20,000 Orders per Second
- How Meta Achieves 99.99999999% Cache Consistency
- How Does Netflix Work?
- Microservices Lessons From Netflix
- How Netflix Uses Chaos Engineering to Create Resilience Systems
- 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
- 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
- How Uber Computes ETA at Half a Million Requests per Second
- How Uber Finds Nearby Drivers at 1 Million Requests per Second
- 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
- 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
- 5 Reasons Why Zoom Was Able to Support 300 Million Video Calls a Day
- How Zapier Automates Billions of Tasks
- Back of the Envelope
- How to Troubleshoot if You Canβt 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
- 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
- Cell Based Architecture
- Consistency Patterns
- Top 5 Caching Patterns
- How to Scale Code Reviews
- How Discord Boosts Performance With Code-Splitting
- Consistent Hashing
- Concurrency Is Not Parallelism
- Micro Frontends
- Microservices Lessons From Netflix
- How Shopify Handled 30TB per Minute With a Modular Monolith Architecture
- 1 Simple Technique to Scale Microservices Architecture
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