Concurrency Deep Dive: Event loops | AppSignal Blog
Welcome to the last Ruby Magic article in our series about concurrency. In the previous editions we implemented a chat server using multiple processes and multiple threads. This time we're going to do the same thing using an event loop. Recap We're going to use the same client and the same server setup we used in the earlier articles. Our aim is to build a chat system that looks like this: Please
Concurrency Deep Dive: Multi-process | AppSignal Blog
In a previous Ruby Magic article on Mastering Concurrency, we gave an introduction to the three methods of achieving concurrency that are available to us as Ruby developers. This article is the first in a three-part series where we take a deep dive into each method. First up: Multi-process. With this method a master process forks itself to multiple worker processes. The worker process does the act
Mastering Concurrency | AppSignal Blog
Mastering concurrency Multiple people will use your app at the same time, and you want to deliver your app as fast as possible. So you'll need some way to handle concurrency. Fear not! Most web servers already do this by default. But when you need to scale, you want to use concurrency in the most efficient way possible. Different types of concurrency There are multiple ways to handle concurrency:
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