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

Deploying to Kubernetes


We will now deploy the ElixirDrip application to the Google Kubernetes Engine (GKE), a hosted Kubernetes (K8s) solution provided by Google. Kubernetes is an open source tool that lets us configure, orchestrate, and scale a great number of containers by relying on configuration files and providing a unified way of automating every operation.

 

Note

Google provides a free trial period of 12 months with a $300 credit to try the services that compose Google Cloud Platform, including the Google Kubernetes Engine (check out https://cloud.google.com/free/). This allows our readers to try a hosted K8s solution without any cost. As an alternative, all the examples in this and the following sections also work with minikube, a tool that lets you run a K8s cluster on your local machine (check out https://kubernetes.io/docs/getting-started-guides/minikube/).

Before diving into the deployment tasks, we need to clarify some of the concepts and nomenclature that Kubernetes uses. A cluster...