How would you approach the design of a system that can handle a sudden spike in user traffic, such as during a product launch?

In my final year at college, I worked on a group project for a web application intended to showcase local businesses. We anticipated a spike in traffic during a community event. To prepare, we implemented basic load balancing using multiple servers to distribute incoming requests evenly. We also utilized a caching mechanism to store frequently accessed data, which significantly reduced response times. This way, when the event occurred, our application was able to handle the increased traffic without crashing, and we received positive feedback from users who praised the app's performance during peak usage.

While volunteering for a local charity, I was part of a team organizing a fundraising event that we expected would draw a large crowd. To manage potential high traffic on our event registration website, I suggested we utilize a simple queue system to manage incoming registrations. We also set up a temporary server with increased capacity for the day of the event. This ensured that even if we had a sudden spike in sign-ups, the website remained functional. On the event day, we successfully managed over 200 registrations within a few hours without any downtime, showing the importance of planning for high traffic.

In my first job as a junior web developer, I was part of a team responsible for optimizing our e-commerce platform for the holiday season, which always brought a surge in traffic. We identified bottlenecks in our database queries and optimized them to reduce load times. Additionally, we employed a content delivery network (CDN) to ensure faster delivery of static assets. As a result, we were able to handle up to 50% more traffic compared to the previous year without any performance issues. This experience taught me how proactive system design can significantly enhance user experience during peak times.