This course has 3 sets of requirements:
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- User Requirements
- Software Requirements
- Hardware Requirements
Kubernetes is a really powerful software and it’s also quite complex. That’s why you need to some of the basics before you start learning Kubernetes:
- Linux (e.g. CentOS or Ubuntu), Bash, Vim
- Hands-on Docker experience – that’s so that you understand the concept of containers and images
- Basic networking knowledge – Such as IP addresses and port numbers, also you need to know about commands like netcat, curl, dig, nslookup..etc.
This isn’t a complete list. But it should give you some idea of the level you should be at before starting this course.
In this course I’ll be using a Apple Macbook. So if you’re a macbook user and you want to follow along then I recommend that you install the following on your macbook:
- VS Code – Text editor for writing our code.
- VirtualBox – Used for building Virtual Machines on your local workstation
- vagrant – Used for spinning 1 or more virtual machines by running a single command
- kubectl – The main tool for interacting with Kubernetes clusters
- minikube – Used for building a Kubernetes cluster right on your local workstation
Most of these are general purpose tools used for software development. The only exception being the last 2, kubectl and minikube, these 2 are Kubernetes specific.
Probably the easiest way to install these software on a Mac is with brew, which itself needs to be installed. Here’s an example:
brew cask install visual-studio-code brew cask install virtualbox brew cask install vagrant brew install docker brew install kubectl brew cask install minikube
In case you’re using a windows laptop, then you’ll need to track down and install these software, you can also try using chocolatey which is the windows equivalent of brew. There are some other softwares that you need to install, we’ll cover them later in the course.
Workstation Hardware Requirements
In a small number of videos I will be using Vagrant to run multiple virtual machines on my workstation. So you need to have a have reasonably specced workstation if you want to follow along, ideally 16GB of RAM and a quad core processor. Also about 10 GB of disk available disk storage. In case you don’t have that then you can skip and just the videos instead.
Post install tasks
After installing the software listed above, you should do a few quick checks to confirm you now have everything installed, we’ll do this by performing version checks:
$ VBoxManage --version 6.0.4r128413 $ vagrant --version Vagrant 2.2.4 $ docker --version Docker version 18.09.2, build 6247962 $ minikube version minikube version: v1.0.1 $ kubectl version --client --short Client Version: v1.14.1
Next you need to enable kubectl’s autocomplete feature:
source <(kubectl completion bash) # setup autocomplete in bash into the current shell echo "source <(kubectl completion bash)" >> ~/.bashrc # add autocomplete permanently to your bash shell.
CKA tip: It’s really important to do this as the very first thing in the exam.
For VScode, I’ll be using a couple of extensions, which I recommend you also install:
- installed code cli for VS code
- Project Manager – Then save the Kubernetes Study Guide as a project. This acts as a bookmark, that lets you open up the Study Guide with just a couple of click
- YAML – This is useful for syntax checking yaml files
- Markdown Preview Enhanced – This displays README.md files in a nice readable format.