How would you design a scalable system to handle a sudden spike in user traffic during a major sales event at Shopee?
This question assesses your ability to understand the unique challenges of e-commerce, particularly during peak times, which is crucial for maintaining user experience and operational efficiency at Shopee.
Step 1: Identify key components that require scalability.
Step 2: Discuss the use of load balancing techniques.
Step 3: Mention scaling strategies like horizontal scaling.
Step 4: Explain how you would ensure data integrity and consistency.
To design a scalable system for handling spikes in user traffic during a major sales event at Shopee, I would begin by identifying critical components such as the frontend services, backend APIs, and database systems. Implementing load balancers would distribute incoming traffic evenly across multiple servers to prevent any single point from becoming a bottleneck. I would consider horizontal scaling, adding more servers to handle the increased load dynamically. Additionally, to ensure data integrity, I'd implement caching strategies to minimize database hits and use asynchronous processing for non-critical operations. This design ensures a smooth user experience during high traffic, maintaining Shopee's reputation for reliability.
Consider discussing specific technologies (e.g., AWS, Kubernetes).
Think about user experience and performance metrics.
Be ready to explain your choices and trade-offs.
I would prepare by analyzing expected traffic patterns and optimizing the system preemptively.
I would discuss techniques like sharding and replication to ensure high availability and performance.
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