What strategies would you use to ensure high availability and fault tolerance in a distributed system?

In my final year project at college, I worked on a team to develop a distributed application for managing student records. We implemented strategies for high availability by using a simple master-slave database replication setup. This meant that if the master database failed, the application could still access the slave database to read information, thus ensuring that the students could always access their records. We also incorporated load balancing by distributing requests across multiple servers, which helped improve response times. This project taught me the importance of planning for failures and how to architect a system that remains operational under various scenarios.

While volunteering for a local non-profit, I helped manage events where we faced issues like speaker cancellations and venue problems. We developed a backup plan for every major element, ensuring we always had alternatives ready. For instance, we maintained a list of backup speakers and additional venues that could accommodate our needs. This experience mirrored fault tolerance in distributed systems, as we learned that being prepared for unexpected failures was key to the event's success. It taught me to think proactively about potential issues and have strategies in place to address them.

In my first job as a junior developer, I was part of a team responsible for maintaining our company's web infrastructure. We experienced outages due to increased traffic during product launches. To address this, we worked on implementing auto-scaling features that would automatically adjust our server capacity based on demand. This ensured high availability during peak times. Additionally, we set up monitoring tools that alerted us to issues before they became critical. This experience provided me with practical insights into how to design systems that can handle real-world challenges while maintaining uptime and reliability.