I think you may be interested in Project Longshorn.
It is a persistent storage implementation for any Kubernetes cluster and it uses the existing disks of your Kubernetes nodes to provide replicated and stable storage for your Kubernetes pods.
As described on Longhorn github:
Longhorn is lightweight, reliable, and powerful. You can install Longhorn on an existing Kubernetes cluster with one kubectl apply command or using Helm charts. Once Longhorn is installed, it adds persistent volume support to the Kubernetes cluster.
And best of all, you can use intuitive GUI dashboard to customize Longhorn to your needs.
Note: At this time Longhorn only supports amd64.
Installation
In the below example, I will show you how to install Longshorn.
First of all you must have open-iscsi
installed on each cluster nodes. You need to install it using for example:
apt-get install open-iscsi
Next apply the longhorn.yaml
to install Longhorn:
kubectl apply -f https://raw.githubusercontent.com/longhorn/longhorn/master/deploy/longhorn.yaml
Then create a longhorn
StorageClass
(you can customize it later using ConfigMap
)
kubectl apply -f https://raw.githubusercontent.com/rancher/longhorn/master/deploy/longhorn.yaml
That's all we need to start using Longhorn :)
Longhorn UI
As I described before, we can use helpful GUI dashboard, here you can find how to access it.
In addition, you may need to expose the dashboard to the outside world using Ingress
as described here
Using Longhorn UI
dashboard is pretty intuitive, e.g. in "Nodes" tab , you can easily specify Nodes dedicated to provide storage.
longhorn StorageClass
You can customize longhorn
StorageClass
by editing longhorn-storageclass
ConfigMap
in longhorn-system
namespace
For example I edited numberOfReplicas
parameter from 3
(default) to 1
:
root@kmaster:~# kubectl describe sc longhorn
Name: longhorn
IsDefaultClass: No
Annotations: longhorn.io/last-applied-configmap=kind: StorageClass
apiVersion: storage.k8s.io/v1
...
parameters:
numberOfReplicas: "1"
staleReplicaTimeout: "2880"
fromBackup: ""
...