This is in connection to the topic of Using Kubernetes with Juju. See that page for background information.
This tutorial will show the steps required to create Kubernetes static persistent volumes (PVs) for use with Kubernetes-specific charms. This is normally done when your backing cloud does not have a storage type that is supported natively by Kubernetes. There is no reason, however, why you cannot use statically provisioned volumes with any cloud, and this is what we’ll do here with a Juju-deployed cluster using AWS.
Note that static volumes are dependent upon the Kubernetes
hostPath volume type. This restricts us to a single worker node cluster. The ‘kubernetes-core’ bundle provides this and that’s we’ll be using here.
The following prerequisites are assumed as a starting point for this tutorial:
- You’re using Ubuntu 18.04 LTS.
v.2.5.0is installed. See the Installing Juju page.
- A credential for the ‘aws’ cloud has been added to Juju. See the Using Amazon AWS with Juju page.
Let’s begin by creating a controller. We’ll call it ‘aws-k8s’:
juju bootstrap aws aws-k8s
Now deploy Kubernetes:
juju deploy kubernetes-core
After about ten minutes things should have settled down to arrive at a stable output to the
Our example’s output:
Model Controller Cloud/Region Version SLA Timestamp default aws-k8s aws/us-east-1 2.5.0 unsupported 23:19:45Z App Version Status Scale Charm Store Rev OS Notes easyrsa 3.0.1 active 1 easyrsa jujucharms 195 ubuntu etcd 3.2.10 active 1 etcd jujucharms 378 ubuntu flannel 0.10.0 active 2 flannel jujucharms 351 ubuntu kubernetes-master 1.13.2 active 1 kubernetes-master jujucharms 542 ubuntu exposed kubernetes-worker 1.13.2 active 1 kubernetes-worker jujucharms 398 ubuntu exposed Unit Workload Agent Machine Public address Ports Message easyrsa/0* active idle 0/lxd/0 10.213.157.48 Certificate Authority connected. etcd/0* active idle 0 22.214.171.124 2379/tcp Healthy with 1 known peer kubernetes-master/0* active idle 0 126.96.36.199 6443/tcp Kubernetes master running. flannel/1 active idle 188.8.131.52 Flannel subnet 10.1.35.1/24 kubernetes-worker/0* active idle 1 184.108.40.206 80/tcp,443/tcp Kubernetes worker running. flannel/0* active idle 220.127.116.11 Flannel subnet 10.1.28.1/24 Machine State DNS Inst id Series AZ Message 0 started 18.104.22.168 i-0c4d170f529709dc0 bionic us-east-1a running 0/lxd/0 started 10.213.157.48 juju-79c582-0-lxd-0 bionic us-east-1a Container started 1 started 22.214.171.124 i-0e769efd3646a56e1 bionic us-east-1b running
Adding the cluster to Juju
We’ll now copy over the cluster’s main configuration file and then use the
add-k8s command to add the cluster to Juju’s list of known clouds. Here, we arbitrarily call the new cloud ‘k8s-cloud’:
mkdir ~/.kube juju scp kubernetes-master/0:config ~/.kube/config juju add-k8s k8s-cloud
The success of this operation can be confirmed by running
Adding a model
When we add a Kubernetes cluster to Juju we effectively have two clouds being managed by one controller. For us, they are named ‘aws’ and ‘k8s-cloud’. So when we want to create a model we’ll need explicitly state which cloud to place the new model in. We’ll do this now by adding a model called ‘k8s-model’ to cloud ‘k8s-cloud’:
juju add-model k8s-model k8s-cloud
The output to
juju models should now look very similar to:
Controller: aws-k8s Model Cloud/Region Status Machines Cores Access Last connection controller aws/us-east-1 available 1 4 admin just now default aws/us-east-1 available 3 8 admin 27 seconds ago k8s-model* k8s-cloud available 0 - admin never connected
Adding a model for a Kubernetes cloud unlocks the ‘kubernetes’ storage provider, which we’ll refer to later. The output to
juju storage-pools should now be:
Name Provider Attrs Kubernetes kubernetes
Static persistent volumes
We will now manually create Kubernetes persistent volumes (PVs). Another way of saying this is that we will set up statically provisioned storage.
There are two types of storage: operator storage and workload storage. The bare minimum is one volume for operator storage. The necessity of workload storage depends on the charms that will be deployed. Workload storage is needed if the charm has storage requirements. The size and number of those volumes are determined by those requirements and the nature of the charm itself.
The creation of volumes is a two-step process. First set up definition files for each PV, and second, create the actual PVs using
kubectl, the Kubernetes configuration management tool. We’ll look at these two steps now.
Defining persistent volumes
In this tutorial we’ll be creating one operator storage volume and two workload storage volumes. The three corresponding files are below. Click on their names to reveal their contents.
kind: PersistentVolume apiVersion: v1 metadata: name: op1 spec: capacity: storage: 1032Mi accessModes: - ReadWriteOnce persistentVolumeReclaimPolicy: Retain storageClassName: k8s-model-juju-operator-storage hostPath: path: "/mnt/data/op1"
kind: PersistentVolume apiVersion: v1 metadata: name: vol1 spec: capacity: storage: 100Mi accessModes: - ReadWriteOnce persistentVolumeReclaimPolicy: Retain storageClassName: k8s-model-juju-unit-storage hostPath: path: "/mnt/data/vol1"
kind: PersistentVolume apiVersion: v1 metadata: name: vol2 spec: capacity: storage: 100Mi accessModes: - ReadWriteOnce persistentVolumeReclaimPolicy: Retain storageClassName: k8s-model-juju-unit-storage hostPath: path: "/mnt/data/vol2"
When defining statically provisioned volumes, the intended storage class name must be prefixed with the name of the intended model. In the files above, the model name is ‘k8s-model’.
Creating persistent volumes
The actual creation of the volumes is very easy. Simply refer the
kubectl command to the files. We begin by installing the tool if it’s not yet present:
sudo snap install kubectl --classic kubectl create -f operator-storage.yaml kubectl create -f charm-storage-vol1.yaml kubectl create -f charm-storage-vol2.yaml
This tool is communicating directly with the cluster. It can do so by virtue of the existence of the cluster configuration file (
We can also use this tool to take a look at our new PVs:
kubectl -n k8s-model get sc,pv,pvc
Our example’s output:
Notice how our model name of ‘k8s-model’ can be passed to
kubectl. When the Juju model was added a Kubernetes “namespace” was set up with the same name.
Creating Juju storage pools
The storage pool name for operator storage must be called ‘operator-storage’ while the pool name for workload storage is arbitrary. Here, our charm has storage requirements so we’ll need a pool for it. We’ll call it ‘k8s-pool’. It is this workload storage pool that will be used at charm deployment time.
For static volumes, the Kubernetes provisioner is
Our two storage pools are therefore created like this:
juju create-storage-pool operator-storage kubernetes \ storage-class=juju-operator-storage \ storage-provisioner=kubernetes.io/no-provisioner
juju create-storage-pool k8s-pool kubernetes \ storage-class=juju-unit-storage \ storage-provisioner=kubernetes.io/no-provisioner
Perform a verification by listing all current storage pools with the
juju storage-pools command. Our example yields this output:
Deploying a Kubernetes charm
We can now deploy a Kubernetes charm. For example, here we deploy a charm by requesting the use of the ‘k8s-pool’ workload storage pool we just set up:
juju deploy cs:~juju/mariadb-k8s --storage database=k8s-pool,10M
The output to
juju status should soon look like the following:
Model Controller Cloud/Region Version SLA Timestamp k8s-model aws-k8s k8s-cloud 2.5.0 unsupported 20:42:28Z App Version Status Scale Charm Store Rev OS Address Notes mariadb-k8s active 1 mariadb-k8s jujucharms 13 kubernetes 10.152.183.87 Unit Workload Agent Address Ports Message mariadb-k8s/0* active idle 10.1.69.14 3306/TCP
In contrast to standard Juju behaviour, there are no machines listed here.
Here is one of the created workload storage persistent volumes in use:
juju storage --filesystem
Unit Storage id Id Provider id Mountpoint Size State Message mariadb-k8s/0 database/0 0 juju-database-0-juju-mariadb-k8s-0 /var/lib/mysql 38MiB attached
We’ll see the Provider id of ‘juju-database-0-juju-mariadb-k8s-0’ again in the next section.
Post-deploy cluster inspection
Let’s see what has happened within the cluster due to the deployment of the charm:
kubectl -n k8s-model get sc,pv,pvc
New sample output:
At the top we see that our two storage classes have been created and that they’re both associated with the ‘no-provisioner’ provisioner.
In the middle section it is clear that two of our volumes are being used (‘Bound’) and that one is available. The one that is used (‘vol1’) is claimed by the same Provider id that we saw in the output of the
storage command above (‘juju-database-0-juju-mariadb-k8s-0’).
In the lower part we’re told what has “claimed” the two used volumes. Each of these claims have requested the use of the appropriate storage class.
If something goes wrong the following command can be used to drill down into the various objects:
kubectl -n k8s-model describe pods,sc,pv,pvc
Removing configuration and software
To remove all traces of Kubernetes and its configuration follow these steps:
juju destroy-model -y --destroy-storage k8s-model juju remove-k8s k8s-cloud rm -rf ~/.kube rm ~/operator-storage.yaml rm ~/charm-storage-vol1.yaml rm ~/charm-storage-vol2.yaml
This leaves us with Juju and
kubetl installed as well as an AWS controller. To remove even those things proceed as follows:
juju destroy-controller -y --destroy-all-models aws-k8s sudo snap remove juju sudo snap remove kubectl
That’s the end of this tutorial!
Consider the following tutorials:
To gain experience with a standalone (non-Juju) MicroK8s installation check out Ubuntu tutorial Install a local Kubernetes with MicroK8s.