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Using Stash with Google Kubernetes Engine (GKE)
This tutorial will show you how to use Stash to backup and restore a Kubernetes deployment in Google Kubernetes Engine. Here, we are going to back up the /source/data
folder of a busybox pod into GCS bucket. Then, we are going to show how to recover this data into a gcePersistentDisk
and PersistentVolumeClaim
. We are going to also re-deploy deployment using this recovered volume.
Before You Begin
At first, you need to have a Kubernetes cluster in Google Cloud Platform. If you don’t already have a cluster, you can create one from here.
Install Stash in your cluster following the steps here.
You should be familiar with the following Stash concepts:
You will need a GCS Bucket and GCE persistent disk. GCE persistent disk must be in the same GCE project and zone as the cluster.
To keep things isolated, we are going to use a separate namespace called demo
throughout this tutorial.
$ kubectl create ns demo
namespace/demo created
Note: YAML files used in this tutorial are stored in /docs/examples/platforms/gke directory of appscode/stash repository.
Backup
In order to take backup, we need some sample data. Stash has some sample data in stash-data repository. As gitRepo volume has been deprecated, we are not going to use this repository as volume directly. Instead, we are going to create a configMap from the stash-data repository and use that ConfigMap as data source.
Let’s create a ConfigMap from these sample data,
$ kubectl create configmap -n demo stash-sample-data \
--from-literal=LICENSE="$(curl -fsSL https://raw.githubusercontent.com/appscode/stash-data/master/LICENSE)" \
--from-literal=README.md="$(curl -fsSL https://raw.githubusercontent.com/appscode/stash-data/master/README.md)"
configmap/stash-sample-data created
Deploy Workload:
Now, deploy the following Deployment. Here, we have mounted the ConfigMap stash-sample-data
as data source volume.
Below, the YAML for the Deployment we are going to create.
apiVersion: apps/v1
kind: Deployment
metadata:
labels:
app: stash-demo
name: stash-demo
namespace: demo
spec:
replicas: 1
selector:
matchLabels:
app: stash-demo
template:
metadata:
labels:
app: stash-demo
name: busybox
spec:
containers:
- args:
- sleep
- "3600"
image: busybox
imagePullPolicy: IfNotPresent
name: busybox
volumeMounts:
- mountPath: /source/data
name: source-data
restartPolicy: Always
volumes:
- name: source-data
configMap:
name: stash-sample-data
Let’s create the deployment we have shown above,
$ kubectl apply -f ./docs/examples/platforms/gke/deployment.yaml
deployment.apps/stash-demo created
Now, wait for deployment’s pod to go in Running
state.
$ kubectl get pods -n demo -l app=stash-demo
NAME READY STATUS RESTARTS AGE
stash-demo-b66b9cdfd-8s98d 1/1 Running 0 6m
You can check that the /source/data/
directory of pod is populated with data from the volume source using this command,
$ kubectl exec -n demo stash-demo-b66b9cdfd-8s98d -- ls -R /source/data/
/source/data:
LICENSE
README.md
Now, we are ready backup /source/data
directory into a GCS bucket,
Create Secret:
At first, we need to create a storage secret that hold the credentials for the backend. To configure this backend, the following secret keys are needed:
Key | Description |
---|---|
RESTIC_PASSWORD | Required . Password used to encrypt snapshots by restic |
GOOGLE_PROJECT_ID | Required . Google Cloud project ID |
GOOGLE_SERVICE_ACCOUNT_JSON_KEY | Required . Google Cloud service account json key |
Create storage secret as below,
$ echo -n 'changeit' > RESTIC_PASSWORD
$ echo -n '<your-project-id>' > GOOGLE_PROJECT_ID
$ cat downloaded-sa-json.key > GOOGLE_SERVICE_ACCOUNT_JSON_KEY
$ kubectl create secret generic -n demo gcs-secret \
--from-file=./RESTIC_PASSWORD \
--from-file=./GOOGLE_PROJECT_ID \
--from-file=./GOOGLE_SERVICE_ACCOUNT_JSON_KEY
secret "gcs-secret" created
Verify that the secret has been created successfully,
$ kubectl get secret -n demo gcs-secret -o yaml
apiVersion: v1
data:
GOOGLE_PROJECT_ID: <base64 encoded google project id>
GOOGLE_SERVICE_ACCOUNT_JSON_KEY: <base64 encoded google service account json key>
RESTIC_PASSWORD: Y2hhbmdlaXQ=
kind: Secret
metadata:
creationTimestamp: 2018-04-11T12:57:05Z
name: gcs-secret
namespace: demo
resourceVersion: "7113"
selfLink: /api/v1/namespaces/demo/secrets/gcs-secret
uid: d5e70521-3d87-11e8-a5b9-42010a800002
type: Opaque
Create Restic:
Now, we can create Restic
crd. This will create a repository in the GCS bucket specified in gcs.bucket
field and start taking periodic backup of /source/data
directory.
$ kubectl apply -f ./docs/examples/platforms/gke/restic.yaml
restic.stash.appscode.com/gcs-restic created
Below, the YAML for Restic crd we have created above,
apiVersion: stash.appscode.com/v1alpha1
kind: Restic
metadata:
name: gcs-restic
namespace: demo
spec:
selector:
matchLabels:
app: stash-demo
fileGroups:
- path: /source/data
retentionPolicyName: 'keep-last-5'
backend:
gcs:
bucket: stash-backup-repo
prefix: demo
storageSecretName: gcs-secret
schedule: '@every 1m'
volumeMounts:
- mountPath: /source/data
name: source-data
retentionPolicies:
- name: 'keep-last-5'
keepLast: 5
prune: true
If everything goes well, Stash will inject a sidecar container into the stash-demo
deployment to take periodic backup. Let’s check sidecar has been injected successfully,
$ kubectl get pod -n demo -l app=stash-demo
NAME READY STATUS RESTARTS AGE
stash-demo-6b8c94cdd7-8jhtn 2/2 Running 1 1h
Look at the pod. It now has 2 containers. If you view the resource definition of this pod, you will see there is a container named stash
which running backup
command.
Verify Backup:
Stash will create a Repository
crd with name deployment.stash-demo
for the respective repository in GCS backend. To verify, run the following command,
$ kubectl get repository deployment.stash-demo -n demo
NAME BACKUPCOUNT LASTSUCCESSFULBACKUP AGE
deployment.stash-demo 1 13s 1m
Here, BACKUPCOUNT
field indicates number of backup snapshot has taken in this repository.
Restic
will take backup of the volume periodically with a 1-minute interval. You can verify that backup is taking successfully by,
$ kubectl get snapshots -n demo -l repository=deployment.stash-demo
NAME AGE
deployment.stash-demo-c1014ca6 10s
Here, deployment.stash-demo-c1014ca6
represents the name of the successful backup Snapshot taken by Stash in deployment.stash-demo
repository.
If you navigate to <bucket name>/demo/deployment/stash-demo
directory in your GCS bucket. You will see, a repository has been created there.
To view the snapshot files, navigate to snapshots
directory of the repository,
Stash keeps all backup data encrypted. So, snapshot files in the bucket will not contain any meaningful data until they are decrypted.
Recovery
Now, consider that we have lost our workload as well as data volume. We want to recover the data into a new volume and re-deploy the workload. In this section, we are going to see how to recover data into a gcePersistentDisk and persistentVolumeClaim.
At first, let’s delete Restic
crd, stash-demo
deployment and stash-sample-data
ConfigMap.
$ kubectl delete deployment -n demo stash-demo
deployment.extensions "stash-demo" deleted
$ kubectl delete restic -n demo gcs-restic
restic.stash.appscode.com "gcs-restic" deleted
$ kubectl delete configmap -n demo stash-sample-data
configmap "stash-sample-data" deleted
In order to perform recovery, we need Repository
crd deployment.stah-demo
and backend secret gcs-secret
to exist.
In case of cluster disaster, you might lose
Repository
crd and backend secret. In this scenario, you have to create the secret again andRepository
crd manually. Follow the guide to understandRepository
crd structure from here.
Recover to GCE Persistent Disk
Now, we are going to recover the backed up data into GCE Persistent Disk. At first, create a GCE disk named stash-recovered
from Google cloud console. Then create Recovery
crd,
$ kubectl apply -f ./docs/examples/platforms/gke/recovery-gcePD.yaml
recovery.stash.appscode.com/gcs-recovery created
Below, the YAML for Recovery
crd we have created above.
apiVersion: stash.appscode.com/v1alpha1
kind: Recovery
metadata:
name: gcs-recovery
namespace: demo
spec:
repository:
name: deployment.stash-demo
namespace: demo
paths:
- /source/data
recoveredVolumes:
- mountPath: /source/data
gcePersistentDisk:
pdName: stash-recovered
fsType: ext4
Wait until Recovery
job completes its task. To verify that recovery has completed successfully run,
$ kubectl get recovery -n demo gcs-recovery
NAME REPOSITORYNAMESPACE REPOSITORYNAME SNAPSHOT PHASE AGE
gcs-recovery demo deployment.stash-demo Succeeded 3m
Here, PHASE
Succeeded
indicate that our recovery has been completed successfully. Backup data has been restored in stash-recovered
Persistent Disk. Now, we are ready to use this Persistent Disk to re-deploy workload.
If you are using Kubernetes version older than v1.11.0 then run following command and check status.phase
field to see whether the recovery succeeded or failed.
$ kubectl get recovery -n demo rook-recovery -o yaml
Re-deploy Workload:
We have successfully restored backup data into stash-recovered
gcePersistentDisk. Now, we are going to re-deploy our previous deployment stash-demo
. This time, we are going to mount the stash-recovered
Persistent Disk as source-data
volume instead of ConfigMap stash-sample-data
.
Below, the YAML for stash-demo
deployment with stash-recovered
persistent disk as source-data
volume.
apiVersion: apps/v1
kind: Deployment
metadata:
labels:
app: stash-demo
name: stash-demo
namespace: demo
spec:
replicas: 1
selector:
matchLabels:
app: stash-demo
template:
metadata:
labels:
app: stash-demo
name: busybox
spec:
containers:
- args:
- sleep
- "3600"
image: busybox
imagePullPolicy: IfNotPresent
name: busybox
volumeMounts:
- mountPath: /source/data
name: source-data
restartPolicy: Always
volumes:
- name: source-data
gcePersistentDisk:
pdName: stash-recovered
fsType: ext4
Let’s create the deployment,
$ kubectl apply -f ./docs/examples/platforms/gke/restored-deployment-gcePD.yaml
deployment.apps/stash-demo created
Verify Recovered Data:
We have re-deployed stash-demo
deployment with recovered volume. Now, it is time to verify that the data are present in /source/data
directory.
Get the pod of new deployment,
$ kubectl get pods -n demo -l app=stash-demo
NAME READY STATUS RESTARTS AGE
stash-demo-857995799-gpml9 1/1 Running 0 34s
Run following command to view data of /source/data
directory of this pod,
$ kubectl exec -n demo stash-demo-857995799-gpml9 -- ls -R /source/data
/source/data:
LICENSE
README.md
lost+found
/source/data/lost+found:
So, we can see that the data we had backed up from original deployment are now present in re-deployed deployment.
Recover to PersistentVolumeClaim
Here, we are going to show how to recover the backed up data into a PVC. If you have re-deployed stash-demo
deployment by following previous tutorial on gcePersistentDisk
, delete the deployment first,
$ kubectl delete deployment -n demo stash-demo
deployment.apps/stash-demo deleted
Now, create a PersistentVolumeClaim
where our recovered data will be stored.
$ kubectl apply -f ./docs/examples/platforms/gke/pvc.yaml
persistentvolumeclaim/stash-recovered created
Below the YAML for PersistentVolumeClaim
we have created above,
apiVersion: v1
kind: PersistentVolumeClaim
metadata:
name: stash-recovered
namespace: demo
labels:
app: stash-demo
spec:
storageClassName: standard
accessModes:
- ReadWriteOnce
resources:
requests:
storage: 2Gi
Check that if cluster has provisioned the requested claim,
$ kubectl get pvc -n demo -l app=stash-demo
NAME STATUS VOLUME CAPACITY ACCESS MODES STORAGECLASS AGE
stash-recovered Bound pvc-57bec6e5-3e11-11e8-951b-42010a80002e 2Gi RWO standard 1m
Look at the STATUS
filed. stash-recovered
PVC is bounded to volume pvc-57bec6e5-3e11-11e8-951b-42010a80002e
.
Create Recovery:
Now, we have to create a Recovery
crd to recover backed up data into this PVC.
$ kubectl apply -f ./docs/examples/platforms/gke/recovery-pvc.yaml
recovery.stash.appscode.com/gcs-recovery created
Below, the YAML for Recovery
crd we have created above.
apiVersion: stash.appscode.com/v1alpha1
kind: Recovery
metadata:
name: gcs-recovery
namespace: demo
spec:
repository:
name: deployment.stash-demo
namespace: demo
paths:
- /source/data
recoveredVolumes:
- mountPath: /source/data
persistentVolumeClaim:
claimName: stash-recovered
Wait until Recovery
job completes its task. To verify that recovery has completed successfully run,
$ kubectl get recovery -n demo gcs-recovery
NAME REPOSITORYNAMESPACE REPOSITORYNAME SNAPSHOT PHASE AGE
gcs-recovery demo deployment.stash-demo Succeeded 3m
Here, PHASE
Succeeded
indicate that our recovery has been completed successfully. Backup data has been restored in stash-recovered
PVC. Now, we are ready to use this PVC to re-deploy workload.
Re-deploy Workload:
We have successfully restored backup data into stash-recovered
PVC. Now, we are going to re-deploy our previous deployment stash-demo
. This time, we are going to mount the stash-recovered
PVC as source-data
volume instead of ConfigMap stash-sample-data
.
Below, the YAML for stash-demo
deployment with stash-recovered
PVC as source-data
volume.
apiVersion: apps/v1
kind: Deployment
metadata:
labels:
app: stash-demo
name: stash-demo
namespace: demo
spec:
replicas: 1
selector:
matchLabels:
app: stash-demo
template:
metadata:
labels:
app: stash-demo
name: busybox
spec:
containers:
- args:
- sleep
- "3600"
image: busybox
imagePullPolicy: IfNotPresent
name: busybox
volumeMounts:
- mountPath: /source/data
name: source-data
restartPolicy: Always
volumes:
- name: source-data
persistentVolumeClaim:
claimName: stash-recovered
Let’s create the deployment,
$ kubectl apply -f ./docs/examples/platforms/gke/restored-deployment-pvc.yaml
deployment.apps/stash-demo created
Verify Recovered Data:
We have re-deployed stash-demo
deployment with recovered volume. Now, it is time to verify that the data are present in /source/data
directory.
Get the pod of new deployment,
$ kubectl get pods -n demo -l app=stash-demo
NAME READY STATUS RESTARTS AGE
stash-demo-559845c5db-8cd4w 1/1 Running 0 33s
Run following command to view data of /source/data
directory of this pod,
$ kubectl exec -n demo stash-demo-559845c5db-8cd4w -- ls -R /source/data
/source/data:
LICENSE
README.md
lost+found
/source/data/lost+found:
So, we can see that the data we had backed up from original deployment are now present in re-deployed deployment.
Cleanup
To cleanup the resources created by this tutorial, run following commands:
$ kubectl delete recovery -n demo gcs-recovery
$ kubectl delete secret -n demo gcs-secret
$ kubectl delete deployment -n demo stash-demo
$ kubectl delete pvc -n demo stash-recovered
$ kubectl delete repository -n demo deployment.stash-demo
$ kubectl delete ns demo
- To uninstall Stash from your cluster, follow the instructions from here.