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Below are the top 10 System Design Case studies for this week

[Launching-ML System Design Tech Case Study Pulse #2] Million Of House Prices in Predicted Accurately in Real Time : How Zillow Actually Works

[ML System Design Tech Case Study Pulse #4 : Top Question] Predict Real-time Store Status to Billions of Users Worldwide: How Google Maps Actually Work

[ML System Design Tech Case Study Pulse #3 : Top Question] Recommending Million Of Items to Millions of Customer in Real Time: How Amazon Recommendation Actually Works

[Launching-ML System Design Tech Case Study Pulse #1]Handling Billions of Transaction Daily : How Amazon Efficiently Prevents Fraudulent Transactions (How it Actually Works)

[System Design Case Study #27] 3 Billion Daily Users : How Youtube Actually Scales

3 Billion Daily Active Users : How Facebook News Feed Algorithm Actually Works

1 Billion Tweets Daily : Magic Behind Twitter Scaling and How It Actually Works

12 Million Daily Users: Inside Slack's Real-Time Messaging Magic and How it Actually Works

3 Billion Daily Users : How Youtube Actually Scales

20 Billion Messages Daily: How Facebook Messenger Actually Works

66,000+ Transactions Per Minute: Magic Behind Amazon's Checkout System and How It Actually Works

100K Events per Second : How Uber Real-Time Surge Pricing Actually Works

Processing 2 Billion Daily Queries : How Facebook Graph Search Actually Works

1.5 Billion Swipes per Day : How Tinder Matching Actually Works

500+ Million Users Daily : How Instagram Stories Actually Work

7 Trillion Messages Daily : Magic Behind LinkedIn Architecture and How It Actually Works

8+ Billion Daily Views: How Facebook's Live Video Ranking Algorithm Works

How Discord's Real-Time Chat Scales to 200+ Million Users

80 Million Photos Daily : How Instagram Achieves Real Time Photo Sharing

Serving 1 Trillion Edges in Social Graph with 1ms Read Times : How Facebook TAO works

How Lyft Handles 2x Traffic Spikes during Peak Hours with Auto scaling Infrastructure..

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