[System Design Tech Case Study Pulse #102] Massive 100+ Million Requests per Second : How Amazon Shopping Cart Actually Works

With detailed explanation and flow chart....

Hi All,

Amazon's implementation of DynamoDB plays a crucial role in managing their shopping cart system, handling an astounding 100 million+ requests per second during peak times. This feat enables Amazon to provide a seamless, low-latency shopping experience for millions of customers worldwide, even during high-traffic events like Prime Day.

Learn how to System design —Design Lyft

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Let me dive deep into how Amazon engineered this system, exploring the key architectural decisions, scaling strategies, and optimizations that enable DynamoDB to manage this enormous volume of shopping cart data and requests.

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System Overview 

Before we delve into Amazon's DynamoDB architecture for the shopping cart system, let's look at some key metrics that highlight the scale of its operations:

- Requests per second: 100 million+

- Active users: Hundreds of millions

- Items in catalog: 350 million+

- Peak operations: Black Friday, Prime Day

- Data centers: Multiple, globally distributed

- Latency target: < 10 milliseconds

- Availability: 99.999%+

- Supported devices: Web, mobile, smart devices

- DynamoDB tables: Hundreds, purpose-specific

- Total data managed: Petabytes

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