What are the key considerations you would take into account when designing a system that needs to handle millions of requests per second?

During my final year in college, I worked on a web application project for our software engineering course. The goal was to create a platform that could handle user registrations and postings efficiently. We began by discussing how many users we expected, which helped us decide on the database structure. We used a basic load balancing technique by dividing traffic across multiple servers, ensuring no single server became overwhelmed. Additionally, we implemented caching for frequently accessed data. This project taught me the importance of scalability and performance, as we had to simulate high traffic to test our application. Ultimately, our product could handle over a hundred concurrent users smoothly, which was a significant achievement for us.

While volunteering for a local charity, I helped organize a community fundraising event that attracted hundreds of attendees. My role involved designing an online registration system to manage ticket sales. We anticipated a high volume of registrations, so I proposed using a cloud-based platform that could scale as needed. I also suggested timed slots for ticket sales to avoid overwhelming the system. Additionally, we implemented a simple backup plan in case of technical failures. The event was a success, with over 400 tickets sold without any issues. This experience highlighted the importance of planning for scalability and the need to consider user experience when designing systems, even for events.

In my first job as a junior developer, I was involved in optimizing an internal tool used for tracking customer support tickets. The tool initially struggled with performance as the number of tickets grew. I collaborated with my team to analyze bottlenecks and identified that our database queries were slow. We decided to implement indexing and caching to improve response times. As a result, we increased the tool's efficiency, allowing it to handle a much larger volume of requests. This experience reinforced the importance of understanding user requirements and how even small optimizations can significantly improve system performance.