How would you approach designing a highly available system that can handle sudden spikes in traffic?

During my final year of college, I worked on a group project to design a website for a local charity event. We anticipated a surge in traffic on the event day, so we decided to use a cloud hosting service that allowed us to scale resources dynamically. My role was to set up the server and ensure it could handle multiple requests at once. We implemented a content delivery network (CDN) to cache static files, which significantly improved loading times. On the event day, we successfully managed over 500 visitors simultaneously without downtime, which was a great learning experience on the importance of scalability.

I volunteered at a community center where we organized annual events that often attracted large crowds. To manage registrations, I helped design a simple online registration system. We used a shared Google Form that could handle multiple entries. However, during peak registration times, the server slowed down. To improve this, I suggested using a third-party service that could handle more traffic. We also set specific registration times to avoid overwhelming the system. This experience taught me the importance of planning for unexpected spikes and using available tools effectively.

In my first job at a startup that focused on e-commerce, I was involved in a project where we experienced a significant traffic spike during a promotional campaign. My team and I worked on optimizing our database queries to reduce load times. We also implemented a load balancer to distribute the traffic across multiple servers. This experience highlighted how critical it is to have a robust architecture in place to handle unexpected traffic efficiently. Our preparations paid off, as we managed to keep the site running smoothly, which ultimately led to an increase in sales.