RubyConf 2024 In-Depth Ruby Concurrency: Navigating the Ruby concurrency landscape by JP Camara

JP Camara maps out the Ruby concurrency landscape, explaining threads, fibers, processes, and Ractors, and how they apply to popular gems.

When do I use a Process, or a Thread, or a Fiber? And Why? Can I use Ractors yet? What is the FiberScheduler? The M:N Thread scheduler? What's a Reactor? Do I fork, prefork, or refork? Should I care? Do I scale up my Threads? My Fibers? My Processes? Do I use lots of lower powered, low-process horizontal scaling or high-powered, high-process vertical scaling? All of the above? In this talk, we'll build an understanding of the Ruby concurrency landscape, and map that understanding onto concurrent gems like Sidekiq, Puma, Falcon, Pitchfork, SolidQueue and Mooro. My goal is for you to better understand how they work, what concurrency options they offer, and how you can best utilize them for scaling your applications.