How would you approach designing a system that handles millions of requests per second? What trade-offs would you consider?

During my final year in college, I worked on a project to build a web application for managing student events that could handle multiple users simultaneously. We started by identifying the potential bottlenecks like database queries and server load. To address this, we implemented a simple caching mechanism using Redis, which significantly reduced the load on our database by storing frequently accessed data. We also utilized a load balancer to distribute traffic across multiple instances of our application. This experience taught me the importance of designing for scalability and balancing performance with resource management, which I believe is crucial for handling millions of requests.

As a volunteer for a local non-profit, I helped develop a registration system for a community festival. The challenge was to prepare for high traffic during the registration period. We opted for a cloud service provider that allowed us to scale resources up and down based on demand. I suggested using asynchronous processing for confirmation emails, which helped keep the system responsive. This experience highlighted the importance of prioritizing user experience while managing server load, a critical factor in handling high request volumes efficiently.

In my first job as a junior developer at an e-commerce company, I worked on optimizing the platform that handled thousands of transactions daily. To improve performance, we analyzed user traffic patterns and implemented a CDN to cache static assets like images and stylesheets. I learned to make trade-offs between consistency and availability, especially during high sales events. By prioritizing user experience while keeping system reliability in mind, we successfully managed to handle peak traffic without downtime, further preparing me for future challenges in system design.