In this blog I will show you how to create snapshots of Persistent volumes in Kubernetes clusters and restore them again by only talking to the api server. This can be useful for either backups or when scaling stateful applications that need “startup data”.
Henrik Hoegh
Henrik is a DevOps Consultant based in Aarhus. He specializes in Docker, Kubernetes and everything Atlassian. Away from the office Henrik designs loudspeakers and takes a keen interest in quantum physics and astrophotography.
The snapshot feature was introduced as Alpha in Kubernetes v1.12. So, for this to work, you need to enable the VolumeSnapshotDataSource feature gate on your Kubernetes cluster API server.
--feature-gates=VolumeSnapshotDataSource=trueI will be using Rook to provision my storage as they support layered filesystems and the CSI driver.
I assume you have an application up and running in your cluster. In my case, I have Jira Software running in Data Center mode with one active node provisioned with ASK.
In order to scale horizontally, I need a copy of Node0 home folder before I can start Node1. So, we start by defining some objects in Kubernetes.
Creating the StorageClass
When you create your StorageClass for Rook, you need to add imageFeatures and set it to layering as shown below:
apiVersion: ceph.rook.io/v1kind: CephBlockPoolmetadata: name: replicapool namespace: rook-cephspec: failureDomain: host replicated: size: 3---apiVersion: storage.k8s.io/v1kind: StorageClassmetadata: name: rook-ceph-block# Change "rook-ceph" provisioner prefix to match the operator namespace if neededprovisioner: rook-ceph.rbd.csi.ceph.comparameters: # clusterID is the namespace where the rook cluster is running clusterID: rook-ceph # Ceph pool into which the RBD image shall be created pool: replicapool # RBD image format. Defaults to "2". imageFormat: "2" # RBD image features. Available for imageFormat: "2". CSI RBD currently supports only `layering` feature. imageFeatures: layering # The secrets contain Ceph admin credentials. csi.storage.k8s.io/provisioner-secret-name: rook-ceph-csi csi.storage.k8s.io/provisioner-secret-namespace: rook-ceph csi.storage.k8s.io/node-stage-secret-name: rook-ceph-csi csi.storage.k8s.io/node-stage-secret-namespace: rook-ceph # Specify the filesystem type of the volume. If not specified, csi-provisioner # will set default as `ext4`. csi.storage.k8s.io/fstype: xfs# Delete the rbd volume when a PVC is deletedreclaimPolicy: DeleteWhen we deploy Jira with ASK, we simply use this storageclass, and Rook will create the storage when needed.
So, now we have a PVC for the home folder and one for the Data Center volume.
The Data Center volume is out of scope for this blogpost, as it’s not a block storage but a shared filesystem (Read Write Many) in Rook.
Creating the VolumeSnapshotClass and your first Snapshot
Now we define a VolumeSnapshotClass to handle our snapshots
apiVersion: snapshot.storage.k8s.io/v1alpha1kind: VolumeSnapshotClassmetadata: name: csi-rbdplugin-snapclasssnapshotter: rook-ceph.rbd.csi.ceph.comparameters: # Specify a string that identifies your cluster. Ceph CSI supports any # unique string. When Ceph CSI is deployed by Rook use the Rook namespace, # for example "rook-ceph". clusterID: rook-ceph csi.storage.k8s.io/snapshotter-secret-name: rook-ceph-csi csi.storage.k8s.io/snapshotter-secret-namespace: rook-cephAnd then we are ready to create snapshots of the source PVC, in this case jira-persistent-storage-jira-0.
apiVersion: snapshot.storage.k8s.io/v1alpha1kind: VolumeSnapshotmetadata: name: rbd-pvc-snapshotspec: snapshotClassName: csi-rbdplugin-snapclass source: name: jira-persistent-storage-jira-0 kind: PersistentVolumeClaimThis will give us a volumesnapshots, as seen here:
kubectl get volumesnapshots -n jira-productionNAME AGErbd-pvc-snapshot 57mCreating a new PVC from our snapshot
Now, if we want to create a new PVC based on this VolumeSnapshots, we define it like this:
apiVersion: v1kind: PersistentVolumeClaimmetadata: name: jira-persistent-storage-jira-1spec: storageClassName: rook-ceph-block dataSource: name: rbd-pvc-snapshot kind: VolumeSnapshot apiGroup: snapshot.storage.k8s.io accessModes: - ReadWriteOnce resources: requests: storage: 5GiNow we have a second PVC called jira-persistent-storage-jira-1, based on the PVC jira-persistent-storage-jira-0 with all its data from that point. So now we can scale our statefulset Jira, and the new Jira node1 will use this PVC which is a copy of Node0.
NAME STATUS VOLUME CAPACITY ACCESS MODES STORAGECLASS AGEjira-datacenter-pvc Bound pvc-a286df18-f9a3-4c52-b0a0-377a193f04de 5Gi RWX atlassian-dc-cephfs 93mjira-persistent-storage-jira-0 Bound pvc-b73b96d6-c3f7-4448-9f12-d9956efe2989 5Gi RWO rook-ceph-block 93mjira-persistent-storage-jira-1 Bound pvc-1984c9de-d13e-435e-b59c-28731d8f30bc 5Gi RWO rook-ceph-block 60mVerification
We can verify it by looking at the mountpoint inside the container, once it has started up. The reason why the cluster.properties has a different timestamp, is because our entrypoint script makes changes to it, before starting Jira.
$ kubectl exec -ti jira-0 -n jira-production -- ls -l /var/atlassian/application-data/jira/total 12drwxrws---. 4 jira jira 46 Aug 22 13:43 caches-rw-rw-r--. 1 jira jira 633 Aug 22 13:42 cluster.properties-rw-rw----. 1 jira jira 1102 Aug 22 13:30 dbconfig.xmldrwxr-s---. 2 jira jira 4096 Aug 22 13:58 localqdrwxrws---. 2 jira jira 132 Aug 22 14:01 logdrwxrws---. 2 jira jira 76 Aug 22 13:32 monitordrwxrws---. 6 jira jira 100 Aug 22 13:31 pluginsdrwxrws---. 3 jira jira 26 Aug 22 13:24 tmp$ kubectl exec -ti jira-1 -n jira-production -- ls -l /var/atlassian/application-data/jira/total 12drwxrws---. 4 jira jira 46 Aug 22 13:43 caches-rw-rw-r--. 1 jira jira 633 Aug 22 13:57 cluster.properties-rw-rw----. 1 jira jira 1102 Aug 22 13:30 dbconfig.xmldrwxr-s---. 2 jira jira 4096 Aug 22 13:58 localqdrwxrws---. 2 jira jira 100 Aug 22 13:32 logdrwxrws---. 2 jira jira 76 Aug 22 13:32 monitordrwxrws---. 6 jira jira 100 Aug 22 13:31 pluginsdrwxrws---. 3 jira jira 26 Aug 22 13:24 tmpWe can also see that we now have a VolumeSnapshotContent object in our cluster
$ kubectl get VolumeSnapshotContentNAME AGEsnapcontent-05166c28-cdf9-4504-89c8-29c67ee23c11 73m$ kubectl describe VolumeSnapshotContent snapcontent-05166c28-cdf9-4504-89c8-29c67ee23c11Name: snapcontent-05166c28-cdf9-4504-89c8-29c67ee23c11Namespace:Labels: <none>Annotations: <none>API Version: snapshot.storage.k8s.io/v1alpha1Kind: VolumeSnapshotContentMetadata: Creation Timestamp: 2019-08-22T11:56:35Z Finalizers: snapshot.storage.kubernetes.io/volumesnapshotcontent-protection Generation: 1 Resource Version: 176903 Self Link: /apis/snapshot.storage.k8s.io/v1alpha1/volumesnapshotcontents/snapcontent-05166c28-cdf9-4504-89c8-29c67ee23c11 UID: 0a6afd6d-032d-4bf6-841d-a37146daf799Spec: Csi Volume Snapshot Source: Creation Time: 1566474995000000000 Driver: rook-ceph.rbd.csi.ceph.com Restore Size: 5368709120 Snapshot Handle: 0001-0009-rook-ceph-0000000000000003-e322e4c4-c4d3-11e9-afc8-0a580a2a0033 Deletion Policy: Delete Persistent Volume Ref: API Version: v1 Kind: PersistentVolume Name: pvc-b73b96d6-c3f7-4448-9f12-d9956efe2989 Resource Version: 171532 UID: b8eed866-4e73-4a6a-bf74-d8fba8c9a8f5 Snapshot Class Name: csi-rbdplugin-snapclass Volume Snapshot Ref: API Version: snapshot.storage.k8s.io/v1alpha1 Kind: VolumeSnapshot Name: rbd-pvc-snapshot Namespace: jira-production Resource Version: 176889 UID: 05166c28-cdf9-4504-89c8-29c67ee23c11Events: <none>Get Kubernetes to do it for you
So, what is this all good for? you ask? Well. So far we had to help Kubernetes each time we had to scale our Jira, Confluence or Bitbucket Data Center installation, as we needed to copy the data around. This could be automated with scripts, but now we can get Kubernetes to do it for us.
Although this is still in Alpha, and as of writing this blogpost, only supported by Block Storage by Rook but the developers told us that they are working on getting Shared Filesystem to be supported as well.
Also, we can now create snapshots as backups of our running applications. If we want, we can then start a backup pod that will mount this backup PVC and copy it outside the cluster to some cold backup location.
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