Book Image

Mastering Elixir

By : André Albuquerque, Daniel Caixinha
Book Image

Mastering Elixir

By: André Albuquerque, Daniel Caixinha

Overview of this book

Running concurrent, fault-tolerant applications that scale is a very demanding responsibility. After learning the abstractions that Elixir gives us, developers are able to build such applications with inconceivable low effort. There is a big gap between playing around with Elixir and running it in production, serving live requests. This book will help you fll this gap by going into detail on several aspects of how Elixir works and showing concrete examples of how to apply the concepts learned to a fully ?edged application. In this book, you will learn how to build a rock-solid application, beginning by using Mix to create a new project. Then you will learn how the use of Erlang's OTP, along with the Elixir abstractions that run on top of it (such as GenServer and GenStage), that allow you to build applications that are easy to parallelize and distribute. You will also master supervisors (and supervision trees), and comprehend how they are the basis for building fault-tolerant applications. Then you will use Phoenix to create a web interface for your application. Upon fnishing implementation, you will learn how to take your application to the cloud, using Kubernetes to automatically deploy, scale, and manage it. Last, but not least, you will keep your peace of mind by learning how to thoroughly test and then monitor your application.
Table of Contents (18 chapters)
Title Page
Dedication
Packt Upsell
Contributors
Preface
5
Demand-Driven Processing
Index

Why functional programming?


Coming from an object-oriented background ourselves, we can't emphasize enough how valuable this shift is. Adopting the functional programming paradigm brings along some benefits, such as the following:

  • The data-transformation flow becomes more evident. This is in contrast with what usually happens in object-oriented programming, where objects strive to encapsulate the data; in functional programming, we mutate data using functions. This makes the transformations that are applied to the data explicit, which in turn makes the applications written this way easier to understand.
  • Functions are (mostly) side-effect-free. With immutable data, you can be sure that the value of a certain variable you hold a reference to will remain the same, since if another function or process wants to change it, it has to create a copy first—and operate on that copy. This makes code much easier to analyze and comprehend, since you can rest assured that your variables will remain as you expect. However, note that since Elixir isn't a pure functional language, your code can still have side effects. For instance, if a function writes to a file, it creates a side effect.
  • Programs can be parallelized easily. Coming out as an added bonus of immutability, it's usually very simple to parallelize this type of program, since there is no shared state.

One possible disadvantage of having immutable data is that you can incur a performance penalty, as each time you need to change something, you must make a copy of it. This greatly depends on the implementation, and while this concern is generally valid, Elixir employs clever techniques when compiling your code to minimize this effect. For instance, in certain conditions, Elixir can just point to existing variables when creating new ones, as it knows all variables are immutable and will never change.

If you're overwhelmed with all this functional programming jargon, lie down and relax, as we will explore these concepts in greater detail throughout this book.