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Minikube commands

Setup Minikube

Requirements

Minikube requires that VT-x/AMD-v virtualization is enabled in BIOS. To check that this is enabled on OSX / macOS run:

sysctl -a | grep machdep.cpu.features | grep VMX

If there's output, you're good!

Prerequisites

  • kubectl
  • docker (for Mac)
  • minikube
  • virtualbox

brew update && brew install kubectl && brew cask install docker virtualbox && brew install minikube

Verify

    docker --version                # Docker version 17.09.0-ce, build afdb6d4
    docker-compose --version        # docker-compose version 1.16.1, build 6d1ac21
    docker-machine --version        # docker-machine version 0.12.2, build 9371605
    minikube version                # minikube version: v0.22.3
    kubectl version --client        # Client Version: version.Info{Major:"1", Minor:"8", GitVersion:"v1.8.1", GitCommit:"f38e43b221d08850172a9a4ea785a86a3ffa3b3a", GitTreeState:"clean", BuildDate:"2017-10-12T00:45:05Z", GoVersion:"go1.9.1", Compiler:"gc", Platform:"darwin/amd64"}

Start

minikube start

  • This can take a while, expected output:

Starting local Kubernetes cluster... Kubectl is now configured to use the cluster.

Great! You now have a running Kubernetes cluster locally. Minikube started a virtual machine for you, and a Kubernetes cluster is now running in that VM.

Check k8s

  • kubectl get nodes

Should output something like: 

    NAME       STATUS    ROLES     AGE       VERSION
    minikube   Ready     <none>    40s       v1.7.5

Use minikube's built-in docker daemon:

eval $(minikube docker-env)

Add this line to .bash_profile or .zshrc or ... if you want to use minikube's daemon by default (or if you do not want to set this every time you open a new terminal).

  • You can revert back to the host docker daemon by running:

eval $(docker-machine env -u)

  • If you now run docker ps, it should now output something like:
CONTAINER ID        IMAGE                                         COMMAND                 CREATED             STATUS              PORTS               NAMES
e97128790bf9        gcr.io/google-[containers](../../devops/containers/README.md)/kube-addon-manager   "/opt/kube-addons.sh"   22 seconds ago      Up 22 seconds                           k8s_kube-addon-manager_kube-addon-manager-minikube_kube-system_c654b2f084cf26941c334a2c3d6db53d_0
69707e54d1d0        gcr.io/google_containers/pause-amd64:3.0      "/pause"                33 seconds ago      Up 33 seconds                           k8s_POD_kube-addon-manager-minikube_kube-system_c654b2f084cf26941c334a2c3d6db53d_0

Build, deploy and run an image on your local k8s setup

  • First setup a local registry, so Kubernetes can pull the image(s) from there:

docker run -d -p 5000:5000 --restart=always --name registry registry:2

Build

  • First of, store all files (Dockerfile, my-app.yml, index.html) in this gist locally in some new (empty) directory.

  • You can build the Dockerfile below locally if you want to follow this guide to the letter. Store the Dockerfile locally, preferably in an empty directory and run:

docker build . --tag my-app

You should now have an image named 'my-app' locally, check by using docker images (or your own image of course). You can then publish it to your local docker registry:

docker tag my-app localhost:5000/my-app:0.1.0

Running docker images should now output the following:

REPOSITORY                                             TAG                 IMAGE ID            CREATED             SIZE
my-app                                                 latest              cc949ad8c8d3        44 seconds ago      89.3MB
localhost:5000/my-app                                  0.1.0               cc949ad8c8d3        44 seconds ago      89.3MB
httpd                                                  2.4-alpine          fe26194c0b94        7 days ago          89.3MB

Deploy and run

  • Store the file below my-app.yml on your system and run the following:

kubectl create -f my-app.yml

  • You should now see your pod and your service:

kubectl get all

  • The configuration exposes my-app outside of the cluster, you can get the address to access it by running:

minikube service my-app --url

  • This should give an output like http://192.168.99.100:30304 (the port will most likely differ). Go there with your favorite browser, you should see "Hello world!". You just accessed your application from outside of your local Kubernetes cluster!

Kubernetes GUI Dashboard

minikube dashboard

Delete deployment of my-app

kubectl delete deploy my-app

kubectl delete service my-app

You're now good to go and deploy other images!

Reset everything

minikube stop; minikube delete; rm -rf ~/.minikube ~/.kube;``brew uninstall kubectl;brew cask uninstall docker virtualbox minikube;```

kubernetes dashboard

The Dashboard UI is not deployed by default. To deploy it, run the following command:

kubectl apply -f https://raw.githubusercontent.com/kubernetes/dashboard/v2.0.0/aio/deploy/recommended.yaml

You can access Dashboard using the kubectl command-line tool by running the following command:

kubectl proxy

Kubectl will make Dashboard available at http://localhost:8001/api/v1/namespaces/kubernetes-dashboard/services/https:kubernetes-dashboard:/proxy/.

  • sign-in

To get the token in a single oneliner:

kubectl -n kube-system describe secret $(kubectl -n kube-system get secret | awk '/^deployment-controller-token-/{print $1}') | awk '$1=="token:"{print $2}'

Run docker image in minikube

kubectl run <pod-name-to-be-created> --image=<image-name> --env="PORT=8080" --port=8080 --expose --namespace=<namespace>

Run and deploy docker image directly to kubectl

The following command will launch a deployment called http which will start a container based on the Docker Image katacoda/docker-http-server:latest.

kubectl run http --image=katacoda/docker-http-server:latest --replicas=1

Use the following command to expose the container port 80 on the host 8000 binding to the external-ip of the host.

kubectl expose deployment http --external-ip="172.17.0.57" --port=8000 --target-port=80

You will then be able to ping the host and see the result from the HTTP service.

curl http://172.17.0.57:8000

Use the command command to create a second http service exposed on port 8001.

kubectl run httpexposed --image=katacoda/docker-http-server:latest --replicas=1 --port=80 --hostport=8001

You should be able to access it using curl http://172.17.0.57:8001

Under the covers, this exposes the Pod via Docker Port Mapping. As a result, you will not see the service listed using kubectl get svc

To find the details you can use docker ps | grep httpexposed