How would you approach scaling a service that currently handles 100 requests per second to accommodate 10,000 requests per second?

During my final year in college, I worked on a web application project that was designed to manage student course registrations. Initially, it could handle only a few concurrent users during testing. To scale this, I researched load balancing and implemented a basic round-robin approach using multiple instances of our application on different servers. This allowed us to distribute incoming requests evenly, which significantly improved performance during peak registration periods. Additionally, I integrated caching for frequently accessed data, which reduced the load on our database. By the end of the project, we could simulate handling hundreds of requests per second successfully, which was a significant improvement from our starting point.

In my part-time job at a retail store, I noticed that during weekend sales, our customer service team struggled to manage the volume of queries from customers. To address this, I suggested implementing a ticketing system that prioritized urgent requests and allowed us to track responses. Additionally, I trained my colleagues on how to utilize templates for common questions, which sped up our response time. As a result, we were able to handle a higher volume of customer inquiries more effectively, significantly improving customer satisfaction during peak hours. This experience taught me the importance of organization and resource management in handling increased demands.

In my first job as a junior developer, I was part of a team responsible for maintaining a service that handled user data requests. When our user base grew, we faced issues with response times. I collaborated with senior developers to implement a microservices architecture, which allowed us to scale individual components independently. We also introduced a caching mechanism that reduced database queries for frequently accessed data. These changes led to a substantial improvement in our service's ability to manage a larger volume of requests, showcasing how effective teamwork and strategic planning can lead to successful scaling.