How do you approach scalability when building a system to handle sudden spikes in traffic?

During my final year, I worked on a group project to develop a web application for event registration, which anticipated high traffic during event launches. To handle potential spikes, we implemented a load balancer to evenly distribute incoming user requests across multiple servers. We also optimized our database queries and used caching for frequently accessed data to reduce response times. This experience taught me the importance of planning for scalability, as we successfully managed a simulated traffic spike during our demo, ensuring a smooth user experience.

While volunteering to organize a community festival, I encountered a challenge when promoting the event online. Anticipating a large influx of registrations from social media, I coordinated with my team to set up a simple web form that could handle multiple submissions. We used Google Forms to collect responses, which allowed us to efficiently manage the data without crashing our system. This experience highlighted the significance of preparing for unexpected demand and utilizing readily available tools to ensure smooth operations.

In my internship at an e-commerce company, I was part of the team that monitored the system's performance during a major sales event. To prepare for traffic spikes, we implemented auto-scaling on our cloud infrastructure, which automatically adjusted resources based on user demand. Additionally, we performed stress tests beforehand to ensure our application could handle high loads. This hands-on experience reinforced my understanding of scalability and the importance of proactive measures to maintain service quality during peak times.