Accelerating Apps with Elixir and Phoenix

Community Thoughts on Accelerating Apps with Elixir and Phoenix...

1. 1.	Elixir in Action by Saša Jurić via Manning Publications Elixir in Action teaches you to apply the new Elixir programming language to practical problems associated with scalability, concurrency, fault tolerance, and high availability.

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   Programming Phoenix by Chris McCord, Bruce Tate, and José Valim via The Pragmatic Bookshelf Don’t accept the compromise between fast and beautiful: you can have it all. Phoenix creator Chris McCord, Elixir creator José Valim, and award-winning author Bruce Tate walk you through building an application that’s fast and reliable. At every step, you’ll learn from the Phoenix creators not just what to do, but why. Packed with insider insights, this definitive guide will be your constant companion in your journey from Phoenix novice to expert, as you build the next generation of web applications.

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   Phoenix Channels vs. Rails ActionCable by Chris McCord via Dockyard At DockYard, we transitioned our backend development from Ruby and Rails to Elixir and Phoenix once it became clear that Phoenix better served our clients needs to take on the modern web. As we’ve seen, Phoenix is Not Rails, but we borrow some of their great ideas. We were also delighted to give back in the other direction when Rails announced that Rails 5.0 would be shipping with Action Cable – a feature that takes inspiration from Phoenix Channels.

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   What I learned migrating a Rails app to Elixir / Phoenix by Stuart Eccles via Medium So I’m sure there will be many more transition patterns that are useful in migrating a Rails app but so far I’ve found the process not only pretty painless but also feels vastly superior. Not to mention just how much faster the Elixir app is; response times under 100ms bring joy to the heart.

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   What makes Phoenix Presence special, and a sneak peek by Chris McCord via Dockyard Phoenix Presence is an upcoming feature in Phoenix 1.2 which brings support for registering process information on a topic and replicating this information transparently across a cluster. What’s special about Phoenix’s implementation is we have a system that applies cutting edge CS research to tackle day-to-day problems in the applications we all write.