Autoscalers, a crucial component in cloud architecture, are designed to maintain system resilience by dynamically adjusting the number of servers based on demand, particularly in environments like Amazon Web Services (AWS). They address inevitabilities such as system failures by ensuring that a predefined number of servers are always operational, replacing any that fail health checks. Implementing autoscalers involves challenges, particularly in handling server terminations and initiations without disrupting services, and effective configuration management is essential for seamless operation. Nylas, for example, has developed a sophisticated database setup using MySQL and ProxySQL to manage load changes and maintain a unified view of database topology, allowing servers to boot or shut down without compromising data integrity. While not all systems are suited for autoscaling, particularly those handling sensitive data, the use of autoscalers where possible can reduce the need for manual server management and allow technical teams to focus on core operations, promoting a more efficient and robust infrastructure.