Running Kata Containers in Minikube for Kubernetes 1.14+
minikube is an easy way to try out a kubernetes (k8s) cluster locally. It utilises running a single node k8s stack in a local VM.
Kata Containers is an OCI compatible container runtime that runs container workloads inside VMs.
Wouldn't it be nice if you could use
minikube to get an easy out of the box experience to try out Kata?
Well, turns out with a little bit of config and setup that is already supported, you can!
Here is how I got this running, using
kvm on my local machine to get
minikube up, and then utilise nested virtualisation
kata VMs to run under
You need to have a machine that can support nested virtualisation. I used an
i7 laptop that had virtualisation enabled in the BIOS
and was running Fedora 29.
To check if you have virtualisation enabled on the host, try:
$ egrep --color 'vmx|svm' /proc/cpuinfo
and look for vmx or svm coloured red in the output.
minikube, we need to add a few configuration options to the default
minikube setup. This is nice
and easy, as
minikube supports them on the setup commandline.
Here are the features, and why we need them:
|--vm-driver kvm2||The host VM driver I tested with|
|--memory 6144||Allocate more memory, as Kata containers default to 1 or 2Gb|
|--network-plugin=cni||As recommended for minikube CRI-o|
|--enable-default-cni||As recommended for minikube CRI-o|
|--container-runtime=cri-o||Using CRI-O for Kata|
|--bootstrapper=kubeadm||As recommended for minikube CRI-o|
minikube specific installation instructions see the docs,
which will also help locate the information needed to get the
kvm2 driver installed etc.
Here then is the command I ran to get my basic
minikube set up ready to add
minikube start \ --vm-driver kvm2 \ --memory 6144 \ --network-plugin=cni \ --enable-default-cni \ --container-runtime=cri-o \ --bootstrapper=kubeadm
That command will take a little while to pull down and install items, but ultimately should complete successfully.
Checking for nested virtualisation
minikube should now be up. Let's try a quick check:
$ kubectl get nodes NAME STATUS ROLES AGE VERSION minikube Ready master 78m v1.13.4
Now let's check if you have nested virtualisation enabled inside the
minikube ssh _ _ _ _ ( ) ( ) ___ ___ (_) ___ (_)| |/') _ _ | |_ __ /' _ ` _ `\| |/' _ `\| || , < ( ) ( )| '_`\ /'__`\ | ( ) ( ) || || ( ) || || |\`\ | (_) || |_) )( ___/ (_) (_) (_)(_)(_) (_)(_)(_) (_)`\___/'(_,__/'`\____) # No color option, as minikube is running busybox $ egrep 'vmx|svm' /proc/cpuinfo # if you get a long line of output here, you have it enabled! $ exit
Now we need to install the
kata runtime components. You will need a local copy of some
kata components to help with this,
and then use the host
kubectl (that minikube has already configured for you) to deploy them:
$ git clone https://github.com/kata-containers/packaging.git $ cd packaging/kata-deploy $ kubectl apply -f kata-rbac.yaml $ kubectl apply -f kata-deploy.yaml
This should have installed the
kata components into
/opt/kata inside the
minikube node. Let's check:
$ minikube ssh $ cd /opt/kata $ ls bin containerd-shim-kata-v2 kata-collect-data.sh kata-qemu qemu-ga qemu-system-x86_64 firecracker kata-fc kata-runtime qemu-pr-helper virtfs-proxy-helper $ exit
And there we can see the
kata components, including a
qemu, and the
kata-runtime for instance.
Now we need to register the
kata qemu runtime with that class:
# A temporary workaround until the scripts land in the packaging/kata-deploy repo $ git clone https://github.com/clearlinux/cloud-native-setup.git $ cd cloud-native-setup/clr-k8s-examples $ kubectl apply -f 8-kata/kata-qemu-runtimeClass.yaml # Note, there is also a kata-fc-runtimeClass.yaml that will enable 'firecracker with kata' support # enabling and testing that is left as 'an exercise for the user'
kata should now be installed and enabled in the
minikube cluster. Time to test it...
OK, time to see if all that worked. First, let's launch a container that is defined to run on Kata. For reference, the magic lines in the yaml are:
spec: runtimeClassName: kata-qemu
$ cd packaging/kata-deploy/examples $ kubectl apply -f test-deploy-kata-qemu.yaml
This deploys an apache php container run with the
kata runtime. Wait a few moments to check it is running:
$ kubectl get pods NAME READY STATUS RESTARTS AGE php-apache-kata-qemu-bc4c55994-p6f6k 1/1 Running 0 1m
And then there are a couple of ways to verify it is running with Kata. Nominally, it should be hard to tell - the idea of
kata is that your container will run inside a VM, but look and feel just like it would as a normal software container. In
theory, if you can tell the difference then there are things still to improve ;-).
First, we'll have a look on the node:
$ minikube ssh $ ps -ef | fgrep qemu-system # VERY long line of qemu here - showing that we are indeed running a qemu VM on the minikube node - that is the VM that contains # your pod. # # And for refernce in a moment, let's see what kernel is running on the node itself $ uname -a Linux minikube 4.15.0 #1 SMP Wed Mar 6 23:18:58 UTC 2019 x86_64 GNU/Linux $ exit
OK, so hopefully we saw a
qemu process running, indicating that we did have a
kata container up. Now, another way to verify
that is to hop into the container itself and have a look at what kernel is running there. For a normal software container you
will be running the same kernel as the node, but for a
kata container you will be running a
kata kernel inside the
$ kubectl get pods NAME READY STATUS RESTARTS AGE php-apache-kata-qemu-bc4c55994-p6f6k 1/1 Running 0 2m $ kubectl exec -ti php-apache-kata-qemu-bc4c55994-p6f6k bash # Am now in the container... root@php-apache-kata-qemu-bc4c55994-p6f6k:/var/www/html# uname -a Linux php-apache-kata-qemu-bc4c55994-p6f6k 4.19.24 #1 SMP Mon Mar 4 13:40:48 CST 2019 x86_64 GNU/Linux # exit
And, there we can see, the node is running kernel 4.15, but the container running under
kata is running a 4.19 kernel.
So, there we have it. A relatively easy way to get a
minikube up with
kata containers installed. Be aware, this is only a
small single node k8s cluster running under a nested virtualisation setup, so it will have limitaions - but, as a first introduction
kata, and how to install it under kubernetes, it does its job.