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Handling High Load (E-commerce Scenario)

- In an e-commerce system, how would you handle situations where many users perform the same action simultaneously?

- How would you manage load on both server and database sides?

Handling High Load in E-commerce

When many users perform the same action at once, like checking out or searching for products, follow these steps:

1: Use Load Balancers - Spread user requests across multiple servers so no single server gets overloaded.

2: Cache Frequently Used Data - Store popular items or pages in memory (cache) so the database doesn’t get hit every time.

3: Database Optimization - Use indexing and efficient queries, and consider read replicas to handle more users.

4: Queue Requests - For actions like placing orders, use queues to process them one by one, avoiding conflicts and overload.

5: Auto-Scaling - Automatically add more servers when traffic increases.

6: Limit User Actions - Set limits (rate limiting) so users can’t send too many requests in a short time.

Summary:

Balance the load across servers, use caching, optimize the database, queue heavy actions, scale automatically, and limit requests. This keeps the system fast and reliable, even when many users are active.