How would you approach designing an API for a system that needs to handle millions of requests per second?

In one of my college projects, I was tasked with designing a simple API for a student management system. We anticipated a high number of requests during peak times, like exam registration. To handle this, I suggested using a RESTful approach with clear endpoints for adding and retrieving student data. I implemented basic caching to store frequently accessed data, which helped reduce the load on our database. This experience taught me the importance of efficiency and scalability, even in smaller projects, and I learned how to document my API clearly for future users. By the end of the project, we managed to handle peak loads smoothly, which was a significant achievement for our team.

While volunteering for a local non-profit, I was part of a team that created a web application for managing donations. We expected high traffic during fundraising events, so I worked on designing an API that could handle these requests efficiently. I suggested implementing rate limiting to ensure fair usage and prevent server overload. We also incorporated asynchronous processing for donation confirmations, which improved user experience by providing instant feedback. This project reinforced my understanding of how thoughtful API design can enhance performance and user satisfaction, even with limited resources.

In my first job as a junior developer at an e-commerce startup, I was involved in enhancing our existing API to accommodate increasing user traffic. We needed to ensure that our API could handle millions of requests during sales events. I contributed by optimizing our database queries and implementing a load balancer to distribute incoming requests efficiently. I also worked on creating documentation for our API to help other developers integrate it easily. This experience taught me valuable lessons about scalability and the importance of collaboration in system design, which are essential skills in any API development process.