Getting Started with Kubernetes on Windows 10 using Hyper-V and MiniKube

Today we are going to get started with Kubernetes on Windows machines running windows 10 OS. Mostly this is for all the developers like us who have windows 10 machines as their day to day uses and want to quickly get started with Kubernetes. Later it becomes easy too to understand and work with Azure (K)Container Service aka AKS.

The easiest way to get started with Kubernetes in local development environment is make use of MiniKube. MiniKube is a tool that runs a single-node Kubernetes cluster inside a VM on your local machine for users looking to try out Kubernetes or develop with it.


A development computer running:
  • Visual Studio 2017 (mine is v15.5.2)
  • Enable Hyper-V if not done already
  • [Optional] Docker for Windows. Get Docker CE for Windows (stable). After installing and starting Docker, right-click on the tray icon and select Switch to Linux containers (if already not). My current version is v17.12.0-ce-win47 (15139)
  • Install kubectl, the Kubernetes command-line tool. This is needed to manage your Kubernetes cluster once it in published on Azure. It's easy to install kubectl using Google Cloud SDK for windows.
  • A Docker hub account (to publish images)

Download and Install MiniKube

To get started let us first download Minikube and set the PATH for it. While there are new releases quite frequently, the latest version as of now is 0.24.2 and that is available for download from here. Once you download the executable just rename it to minikube.exe. Now keep it at any location as per your wish. I kept it under 'C:\Program Files (x86)\Kubernetes\Minikube\minikube.exe'. Now add this folder path as part of your PATH environment variable. Open 'System Properties' by searching 'View advanced system settings' in your machine and follow the following image to update the PATH variable. This is to make sure 'minikube' command is available in your PowerShell or CMD window by default and you actually don't need to change directory to the MiniKube installer folder ('C:\Program Files (x86)\Kubernetes\Minikube') every time.
Now quickly open up a PowerShell window and type the following command to make sure 'minikube' is installed correctly and the version is up to date.
minikube version
// output: minikube version: v0.24.1
So we are good with MiniKube VM creation now i.e. can we start MiniKube? No actually! As I said in the title we are going to use HyperV and not VirtualBox for this tutorial. It turns out that by default MiniKube uses the first HyperV virtual network it finds and for most users its generally an internal one. So MiniKube can not access internet etc. from the created Linux VM which causes further problems during our application deployment (like can not download docker images from any public registry or it simply hangs in between while creating the VM) and other issues. To overcome this we need to use/create an external network switch as described here. In this case too I'm going to create an external network switch named 'Primary Virtual Switch'.
Make sure to 'restart' your PC to get rid of any routing table caching issues after creating this virtual switch. That's all, we can now use MiniKube to it's full potential.

Start MiniKube

To create the MiniKube VM (Linux) in your Hyper-V environment, please execute the following command.
minikube start --vm-driver=hyperv --kubernetes-version="v1.8.0" --hyperv-virtual-switch="Primary Virtual Switch" --memory 4096
Here we are asking MiniKube to create a VM with 
  • 4 GB of RAM (Found that with 2 GB of default RAM it was giving many issues like some of the services not coming up with memory issue, so had to increase)
  • Hyper-V as the virtualization driver 
  • Install kubernetes version 1.8.0 inside it (you can get all version details by executing minikube get-k8s-versions command before minikube start)
  • Use newly created external virtual switch named 'Primary Virtual Switch' as the network adapter
You should see in the PowerShell window that MiniKube is downloading an ISO image from a pre-defined location and it is starting (already created) a virtual machine. Once done, you can verify that the cluster is is running mode using 'minikube status' command.
Just for fun, you can go to Hyper-V manager & connect to the newly created VM called 'minikube', the user name is 'docker' and password is 'tcuser'. And voila! you have full control over the VM using bash.

Congratz! We are now running a single-node Kubernetes cluster inside the VM. As the external network we specified was connected to my WiFi, that means my minikube VM got a new IP too and i can access services deployed inside it. You can find the details by executing the following command.
minikube status
Output should be like
minikube: Running
cluster: Running
kubectl: Correctly Configured: pointing to minikube-vm at

To double confirm use 'minikube dashboard' command, that should ideally open up the *mostly* read-only view of your deployed local Kubernetes cluster dashboard. You can find all details like the running system services, pods, deployments etc.
We can now make use of 'kubectl' commands whatever way we need. below are a few examples with explanations.
// Set current kubectl config to point to/work with local minikube cluster
kubectl config set-context minikube

// Get minikube cluster config details
kubectl config view minikube

// Just to get the master node endpoint details with IP & port used
kubectl cluster-info

// Get the full cluster information (generally export to a file because of the output size)
kubectl cluster-info dump

// Get all currently running pods across all namespaces. 
kubectl get pods --all-namespaces
Except these you can use all other commonly used commands to play with the cluster as listed in my previous article.

Create Docker Image & publish to Docker Hub

Follow my previous article to create a simple core 2.0 web api app. There we published it to Azure Container Registry but this time lets publish to Docker Hub (if you don't have an account please create one). Execute the following commands to publish the image to docker hub once the image is created (make sure to name the image properly in docker-compose.yaml file, mine is 'dsanjay/quotesgenerator:linux').
// Build the image locally
docker-compose up -d --build

// Log-into docker hub
docker login --username sanjayd --password *******

// Push the image to publicly accessible docker hub repository
docker push dsanjay/quotesgenerator:linux

Deploy App to local MiniKube Cluster

Once the cluster is up & running it's pretty simple to deploy new applications & access them. We already did that in the previous article. Below is the YAML file that we are going to provide to our MiniKube master (rather API Service) and it should take care of deploying the pods as needed (we are going to create one instance for now) and expose as service.
apiVersion: apps/v1beta1
kind: Deployment
  name: quotes
  replicas: 1
      maxSurge: 1
      maxUnavailable: 1
  minReadySeconds: 5 
        app: quotes
      - name: quotes
        image: dsanjay/quotesgenerator:linux
        - containerPort: 80
            cpu: 250m
            cpu: 500m
apiVersion: v1
kind: Service
  name: quotes
  type: NodePort
  - port: 80
    nodePort: 30663
    app: quotes
So lets go back to PowerShell & execute this command (make sure you have changed the directory where the YAML file is located)
kubectl create -f quotes.yaml
While the service is being created you can watch the status by refreshing the Kubernetes Dashboard you opened earlier. It should become green within a few seconds once the image from docker hub is downloaded and installed and the service is started.
Once it's in green state, we are done 😊 Our app is running inside the Kubernetes Cluster on Windows 10 using HyperV and MiniKube. To verify its actually working lets browse '' (to get the IP you can use 'minikube ip' command too). This is the public IP MiniKube VM is assigned to and remember we specified in the YAML file to use port '300663'. So if all is good tou should get back some random quotes with machine name appended at the end.
Now you can play with the deployment like increasing the pod count etc, details can be found here.

Before we go, to stop the MiniKube cluster execute 'minikube stop' and to completely remove the VM use 'minikube delete' commands.

A word of caution: MiniKube is not stable enough for windows as of today. Hibernating the computer, stopping the Minikube installation, changing the network, or making other unexpected changes can cause the installation to fail.

If Minikube does not start, you'll need to delete and re-create your instance:

  • Stop minikube: minikube stop
  • Delete minikube: minikube delete
  • Remove the 'minikube' virtual machine from the Hyper-V Manager, if minikube delete command failed.
  • Delete "C:\USERS\<<yourname>>\.minikube\" if it exists
  • Restart the installation process and give the new VM a static MAC address if necessary.

Let me know if you face any issues or you have any suggestions/questions.


Author & Editor

Just another technology enthusiast. Working on various Microsoft technologies for past 11+ years. Started from classic asp and VB and now moved on to Azure & IoT scenarios. Love to explore new ideas & concepts.


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