Case Study - Real-time inventory management for a large e-commerce platform#
Keywords: AWS, Amazon, DynamoDB
Tags: Case Study DynamoDB
Brain Storming Idea#
在库存管理中对于促销期间突然涌入的大量下订单请求对于库存管理是一个挑战. 挑战有:
如何实时监控库存并自动采取补货之类的措施 (用 DynamoDB Stream 来监控库存, 如需补货则自动调用 API 进行补货).
如何确保在高并发的情况下不会超卖 (用 Transaction + ClientToken 应对用户频繁点击抢单; 用原子的 Update 操作确保库存技术准确).
如何应对不平均的业务流量 (用 Auto Scaling Policy 自动扩容).
Business background: A major e-commerce company with millions of products and a global customer base needs to manage its inventory in real-time to ensure optimal stock levels and minimize stockouts.
Data characteristics: High volume of read/write operations, rapidly changing stock levels, and a need for low-latency access to inventory data.
Key challenge: Maintaining accurate inventory counts across multiple warehouses and sales channels in real-time, while handling massive traffic spikes during sales events.
Solution: Use DynamoDB to store inventory data with a composite primary key consisting of product ID and warehouse ID. Implement atomic counter updates for stock levels and use DynamoDB Streams to trigger real-time notifications for low stock alerts. Sync data to Amazon Redshift for analytics and forecasting.
Background#
Technical Challenge#
How do I solve Technical Challenge#
Non Technical Challenge#
How do I solve None Technical Challenge#
Result#
Rapid7 Result:
BMT Result: