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[System Design Tech Case Study Pulse #77] 66,000+ Transactions Per Minute: Magic Behind Amazon's Checkout System and How It Actually Works
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[System Design Tech Case Study Pulse #77] 66,000+ Transactions Per Minute: Magic Behind Amazon's Checkout System and How It Actually Works

Behind the tech with detailed explanation and flow chart....

Naina Chaturvedi's avatar
Naina Chaturvedi
Apr 28, 2025
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[System Design Tech Case Study Pulse #77] 66,000+ Transactions Per Minute: Magic Behind Amazon's Checkout System and How It Actually Works
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Hi All,

Amazon's sophisticated checkout system represents one of the most impressive feats of e-commerce engineering, processing over 66,000 transactions per minute during peak events like Black Friday and Prime Day. This incredible infrastructure enables Amazon to provide seamless checkout experiences for hundreds of millions of customers worldwide, even when transaction volumes spike to 5-7x normal levels.

Let's dive deep into how Amazon engineered this system, exploring the key architectural decisions, scaling strategies, and optimizations that enable their checkout pipeline to handle this massive volume of transactions with sub-second response times and 99.999% availability.

Learn how to Design Facebook Newsfeed


System Overview 

Before diving into Amazon's checkout architecture, let's examine key metrics that highlight the scale of its operations:

  • Transactions processed per minute during peak events: 66,000+

  • Active customers: 300+ million worldwide

  • Peak transaction volume: Black Friday/Cyber Monday (5-7x normal traffic)

  • Data processed per transaction: Multiple kilobytes across dozens of services

  • Checkout latency: Under 2 seconds for 99% of transactions

  • Availability: 99.999%+ (less than 6 minutes downtime annually)

  • Global deployment: Multi-region infrastructure with failover capabilities

  • Payment methods supported: 100+ global payment options

  • Fraud detection: Real-time analysis with sub-second response times


How Real World Scalable Systems are Build — 200+ System Design Case Studies:

System Design Den : Must Know System Design Case Studies

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

3 Billion Daily Users : How Youtube Actually Scales

1.5 Billion Swipes per Day : How Tinder Matching Actually Works

500+ Million Users Daily : How Instagram Stories Actually Work

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

20 Billion Messages Daily: How Facebook Messenger 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..

How It works (Behind the Tech ) —

1.User Interaction:

  • A customer clicks "Place your order" on the checkout page

  • The request is sent to Amazon's edge servers via their CDN

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