In order to use EKS you'll need to be logged into your own AWS account. Sign up here. You'll need a credit card. Any time you use anything on AWS you will get charged real money. This class if done for a whole day will cost under $5, but you must make sure you delete all the resources you create.
Download this for your appriate operating system. We use the CLI (command line interface) to run AWS commands.
Note: You may want to set up AWS_CLI_AUTO_PROMPT on for command line completion. This is done by setting an environment variable like:
export AWS_CLI_AUTO_PROMPT=on
in either ~/.bash_profile or ~/.zshrc depending on your shell.
Make sure that you have version 2 installed.
aws --version
Should show something like:
aws-cli/2.7.6 Python/3.9.11 Darwin/21.5.0 exe/x86_64 prompt/off
Amazon EKS uses IAM to provide authentication to our Kubernetes clusters. The authenticator is the way to log into the cluster.
kubectl is a command line tool used to interact with Kubernetes clusters.
We install the tool locally on your laptop or jump host where you access kuberentes.
eksctl is a tool for managing EKS clusters in AWS via the command line. We may not use a lot of the features in this class because we set it up with Terraform, but its good to have.
To get started with this class you will need git. Then you can clone this repo. This is done by running:
git clone git@github.com:vallard/K8sClass.git
You may instead wish to fork this repo so you can make modifications.
I work on a MacBook Pro and have a directory called ~/Code where I do my work. Any new repositories I download, I do the following:
cd ~/Code
git clone git@github.com:vallard/K8sClass.git
cd K8sClass
Then I am able to use all the code in this repository.
We don't use any paid for terraform features in this class. Just the free stuff.
GNU Privacy Guard, or the GNU implementation of PGP is used to encrypt and decrypt Terraform secrets.
I use brew to install it on a mac: brew install gnupg.
This blog post is super helpful for getting started using gpg with terraform. This is our primary use case.