What are the key considerations when designing a system that needs to handle a sudden spike in traffic?

During my final year at university, I worked on a project where we developed a web application for event registration. We anticipated a sudden spike in user registrations due to a promotional campaign. To handle this, we implemented a caching mechanism to store frequently accessed data like event details and user registrations temporarily. This significantly reduced the load on our database. We also used a cloud service that allowed us to scale our resources dynamically during peak times. As a result, the system managed to handle 200% more traffic than expected without crashing, and we received positive feedback on the seamless user experience.

I volunteered for a community fundraiser where we created a website to handle donations. I noticed that during the launch, we faced a surge in traffic as people rushed to contribute. To mitigate this, we set up a simple load balancing approach using multiple servers, which helped distribute incoming traffic evenly. Additionally, we implemented a basic content delivery network (CDN) to speed up content delivery. This not only improved the site speed but also ensured that the donation process was quick and efficient. The fundraiser exceeded its goal, raising more than 150% of our target, largely due to the smooth online experience.

In my first job at a tech startup, I was part of the team that launched an e-commerce platform. We expected a massive influx of traffic during our first sale event. To prepare, we conducted load tests to identify potential bottlenecks and optimized our database queries. We also utilized auto-scaling features in our cloud service to ensure we could accommodate increased demand. On the sale day, our traffic doubled compared to previous events, but the system remained stable thanks to our preparations. The experience taught me the importance of proactive planning and real-time monitoring.