What are the key considerations you would keep in mind when designing a highly available system?

During my final year in college, I worked on a project to design an online booking system for events. To ensure high availability, I proposed using a load balancer to distribute traffic evenly across multiple servers. This way, if one server went down, others could handle the requests without downtime. I also suggested implementing a database replication strategy, where the main database would constantly sync with a backup database. This would allow the system to switch to the backup in case of a failure. By simulating traffic and testing the system’s response, we managed to keep our application running smoothly during peak usage times, which was a great learning experience in designing for reliability.

In my part-time role as a cashier at a local retail store, I observed how our point-of-sale (POS) system was designed for high availability. The system was set up with backup servers that would kick in if the primary server failed. I remember a day when the main server crashed during a busy sale event. Fortunately, the backup system activated seamlessly, allowing transactions to continue without interruption. This hands-on experience taught me the importance of having redundancy and failover mechanisms in place to maintain service availability, even in high-pressure situations.

During my internship at a tech startup, I was part of a team that was responsible for deploying a cloud service. We focused on ensuring the service was highly available by utilizing multiple data centers across different geographical locations. This not only helped with load balancing but also provided disaster recovery options. I learned how critical it was to implement health checks and automatic failover processes to ensure that users experienced minimal disruption. The project reinforced my understanding of the necessity for a well-architected system that prioritizes uptime and reliability.