Case Studies

Real-world system design breakdowns of the products powering everyday life — how billion-user platforms handle scale, reliability, and speed under the hood.

Zomato/Uber Eats Rider Tracking01Real-Time Systems

Zomato/Uber Eats Rider Tracking

Study how food delivery apps track riders in real time, estimate arrival times, and provide smooth live location updates while optimizing battery and network usage.

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Uber Driver Matching02Geospatial Systems

Uber Driver Matching

Learn how nearby drivers are discovered and matched to riders using geospatial indexing and intelligent allocation algorithms.

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WhatsApp Reliable Messaging03Messaging Systems

WhatsApp Reliable Messaging

Understand offline messaging, acknowledgements, retries, message ordering, and end-to-end delivery.

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Google Maps ETA Prediction04Predictive Systems

Google Maps ETA Prediction

Explore how traffic, road conditions, and historical data are combined to estimate arrival times.

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YouTube Adaptive Video Streaming05Streaming Systems

YouTube Adaptive Video Streaming

Learn how video quality automatically changes based on internet speed to avoid buffering.

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Netflix Recommendation Engine06Machine Learning

Netflix Recommendation Engine

Understand recommendation systems that personalize content for every user.

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Amazon Flash Sale Architecture07High-Scale Systems

Amazon Flash Sale Architecture

Study how large e-commerce platforms prevent overselling and survive millions of concurrent buyers.

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Razorpay/Stripe Idempotent Payments08Payment Systems

Razorpay/Stripe Idempotent Payments

Learn how payment gateways prevent duplicate transactions and reconcile payment states.

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Swiggy Delivery Time Prediction09Predictive Systems

Swiggy Delivery Time Prediction

Understand how cooking time, rider availability, and traffic combine to predict delivery time.

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Instagram Feed Ranking10Ranking Systems

Instagram Feed Ranking

Study how social media platforms rank and load personalized feeds efficiently.

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