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How Amazon Lambda Works

How to Scale an App to 100 Million Users on GCP

How Netflix Uses Chaos Engineering to Create Resilience Systems

How Meta Achieves 99.99999999% Cache Consistency

How Halo Scaled to 11.6 Million Users Using the Saga Design Pattern

Why Is Redis a Distributed Swiss Army Knife

How Instagram Scaled to 2.5 Billion Users

How YouTube Was Able to Support 2.49 Billion Users With MySQL

How Stripe Prevents Double Payment Using Idempotent API

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

How McDonald’s Food Delivery Platform Handles 20,000 Orders per Second

8 Reasons Why WhatsApp Was Able to Support 50 Billion Messages a Day With Only 32 Engineers

How Disney+ Scaled to 11 Million Users on Launch Day

How Dropbox Scaled to 100 Thousand Users in a Year After Launch

How Lyft Support Rides to 21 Million Users

How Khan Academy Scaled to 30 Million Users

How Tinder Scaled to 1.6 Billion Swipes per Day

How Amazon Scaled E-commerce Shopping Cart Data Infrastructure

How Amazon S3 Achieves 99.999999999% Durability

How Disney+ Hotstar Delivered 5 Billion Emojis in Real Time

How Canva Supports Real-Time Collaboration for 135 Million Monthly Users

How Hashnode Generates Feed at Scale

How Zapier Automates Billions of Tasks

How Cloudflare Was Able to Support 55 Million Requests per Second With Only 15 Postgres Clusters

How 0.1% Companies Do Hyperscaling

How Uber Finds Nearby Drivers at 1 Million Requests per Second

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

How Uber Computes ETA at Half a Million Requests per Second

5 Reasons Why Zoom Was Able to Support 300 Million Video Calls a Day

Virtual Waiting Room Architecture That Handles High-Demand Ticket Sales at SeatGeek

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