Book Image

Kubernetes on AWS

By : Ed Robinson
Book Image

Kubernetes on AWS

By: Ed Robinson

Overview of this book

Docker containers promise to radicalize the way developers and operations build, deploy, and manage applications running on the cloud. Kubernetes provides the orchestration tools you need to realize that promise in production. Kubernetes on AWS guides you in deploying a production-ready Kubernetes cluster on the AWS platform. You will then discover how to utilize the power of Kubernetes, which is one of the fastest growing platforms for production-based container orchestration, to manage and update your applications. Kubernetes is becoming the go-to choice for production-grade deployments of cloud-native applications. This book covers Kubernetes from first principles. You will start by learning about Kubernetes' powerful abstractions - Pods and Services - that make managing container deployments easy. This will be followed by a guided tour through setting up a production-ready Kubernetes cluster on AWS, while learning the techniques you need to successfully deploy and manage your own applications. By the end of the book, you will have gained plenty of hands-on experience with Kubernetes on Amazon Web Services. You will also have picked up some tips on deploying and managing applications, keeping your cluster and applications secure, and ensuring that your whole system is reliable and resilient to failure.
Table of Contents (12 chapters)

Building and launching a simple application on Minikube

Let's take our first steps to building a simple application on our local minikube cluster and getting it to run.

The first thing we need to do is build a container image for our application. The simplest way to do this is to create a Dockerfile and use the docker build command.

Use your favorite text editor to create a file called Dockerfile with the following content:

Dockerfile 
FROM nginx:alpine 
RUN echo "<h1>Hello World</h1>" > /usr/share/nginx/html/index.html 

To build the application, first ensure your Docker client is pointing to the Docker instance inside the Minikube VM by running:

    eval $(minikube docker-env)

Then use Docker to build the image. In this case, we are tagging the image hello, but you could use any tag you wanted:

    docker build -t hello:v1 .

Kubectl has a run command...