Using Kubernetes Minikube for Local test deployments

One of the many challenges I face with my Robotics Cloud development is the need to test locally and constantly re-create the stack from scratch. Now I have a lot of automation to deploy against AWS using Jenkins as seen in previous posts. However setting up a local development environment is the thing I do the most and that is costing a lot of time because the tooling always was painful to use.

Now in the last few months there have been a lot of innovations happening in the Kubernetes field. In particular in this blog post I want to talk about using Minikube.

Minikube

One of the big pains was always to setup a Kubernetes cluster on your local machine. Before there were some solutions, the simplest one was to use vagrant or the kube-up script that would create some vm’s in virtualbox. However my experience was that they were error prone and did not always complete succesfully. For local machine development setups there is now a new solution called minikube. In essence using minikube you can create a single machine kubernetes test cluster to get you quickly up and running.

The simplest way to get started is to install minikube first using the latest release instructions, in my case for OSX on the 0.12.2 release I install it using this command:

curl -Lo minikube https://storage.googleapis.com/minikube/releases/v0.12.2/minikube-darwin-amd64 && chmod +x minikube && sudo mv minikube /usr/local/bin/

Please visit this page for the latest release of minikube: https://github.com/kubernetes/minikube/releases

In essence the above command downloads the minikube binary and moves it to the local usr bin directory so its available on the path. After this we can start creating the minikube machine, in my case I will use virtualbox as the provider which is automatically detected if its installed. In my case all i have to do is the following:
minikube start --memory=8196

The above will start a single node kubernetes cluster which acts both as master and worker in virtualbox with 8GB of memory. Also it will ensure my local kubernetes (kubectl) client configuration is set to point to the cluster master. This will take a few minutes to get up and running but the cluster should be available after this and you can check if its ready by doing this:

kubectl get nodes
NAME       STATUS    AGE
minikube   Ready     1h

The minikube setup has created a virtual box setup that exposes all its services via the virtualbox ip. The minikube binary provides a shortcut to get that ip using below command:

minikube ip
192.168.99.100

This ip can be used to directly access all services that are exposed on the kubernetes cluster.

Now the cluster is available you can start deploying to your hearts content, but you might want to use the kubernetes dashboard for this which is handy for the overview. In order to quickly get to the dashboard you can run this minikube command:

minikube dashboard

If you want to stop the cluster you can simply type the following command:

minikube stop

The next time you start the cluster it will resume the state it was in previously. So all previously running containers will also be started once the cluster comes back up which is quite handy in case of development.

Conclusion

I hope this post helps people who are struggling setting up their own Kubernetes cluster and getting them quickly started. I am sure there is a lot more to come from the Kubernetes folks, its really getting easier and easier 🙂

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