Scaling Ruby on Linode to Handle 50,000+ Concurrent Requests
Understanding the Bottlenecks: From Single Server to Distributed Architecture Achieving 50,000+ concurrent requests on a Ruby application, especially one hosted on Linode, necessitates a fundamental shift from a monolithic, single-server mindset to a robust, distributed architecture. The primary bottlenecks typically manifest in three key areas: CPU saturation within the application servers, I/O limitations (database, network, […]