Lab 1 - Installing Minkube

The first laboratory of the workshop consist of launching a Kubernetes cluster in our local machine. In order to achieve that, we will use minikube (opens new window) that eases a lot this task.

We will perform the following task:

1. Install and run a Minikube cluster in your laptop.
2. Use kubectl while deploying a sample application.
3. Deploy a sample application.
4. Install and use Helm.

Requirements

• 2 CPUs or more
• 8GB of free memory
• 40GB of free disk space
• Internet connection
• Container or virtual machine manager, such as: Docker (opens new window).

1. Installing Minikube

Depending of your OS, you will have different options for installing Minikube.

curl -LO https://storage.googleapis.com/minikube/releases/latest/minikube-linux-amd64
sudo mv minikube-linux-amd64 /usr/local/bin/minikube
sudo chmod a+x /usr/local/bin/minikube

If the Brew Package Manager (opens new window) installed:

brew install minikube

If which minikube fails after installation via brew, you may have to remove the minikube cask and link the binary:

brew cask remove minikube
brew link minikube

Otherwise, download minikube directly:

curl -LO https://storage.googleapis.com/minikube/releases/latest/minikube-darwin-amd64
sudo install minikube-darwin-amd64 /usr/local/bin/minikube

If the Chocolatey Package Manager (opens new window) is installed, use it to install minikube:

choco install minikube

Otherwise, download and run the Windows installer (opens new window)

2. Starting the cluster

From a terminal with administrator access (but not logged in as root), run:

minikube start --cpus 2 --memory 8192 --disk-size 40g

3. Interacting with K8s

If you already have kubectl installed, you can now use it to access your shiny new cluster:

kubectl config use-context minikube
kubectl get po -A

Alternatively, minikube can download the appropriate version of kubectl, if you don't mind to use an alias in the command-line:

alias kubectl="minikube kubectl --"
kubectl get po -A

minikube bundles the Kubernetes Dashboard, allowing you to get easily acclimated to your new environment:

minikube dashboard

4. Deploying a sample application

Create a sample deployment and expose it on port 8080:

kubectl create deployment hello-minikube --image=k8s.gcr.io/echoserver:1.4
kubectl expose deployment hello-minikube --type=NodePort --port=8080

It may take a moment, but your deployment will soon show up when you run:

kubectl get services hello-minikube

The easiest way to access this service is to let minikube launch a web browser for you:

minikube service hello-minikube

Alternatively, use kubectl to forward the port:

kubectl port-forward service/hello-minikube 7080:8080

Now, the application is available at http://localhost:7080/ (opens new window)

5. Deleting minikube cluster

For now, we will not execute this command.

minikube delete --all

6. Installing Helm

curl https://raw.githubusercontent.com/helm/helm/master/scripts/get-helm-3 | bash

helm repo add stable https://charts.helm.sh/stable

7. Deploying a simple Chart

• Deploy a MySQL server:

  helm repo update
  helm install my-mysql stable/mysql
  

• Check its status:

  helm status my-mysql
  

• Delete the chart:

  helm uninstall my-mysql