Backup and Restore Volumes of a Deployment
This guide will show you how to use KubeStash to backup and restore volumes of a Deployment.
Before You Begin
At first, you need to have a Kubernetes cluster, and the
kubectl
command-line tool must be configured to communicate with your cluster. If you do not already have a cluster, you can create one by using kind.Install
KubeStash
in your cluster following the steps here.You should be familiar with the following
KubeStash
concepts:
To keep everything 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/guides/workloads/deployment/examples directory of kubestash/docs repository.
Backup Volumes of a Deployment
This section will show you how to use KubeStash to backup volumes of a Deployment. Here, we are going to deploy a Deployment with a PVC and generate some sample data in it. Then, we are going to backup this sample data using KubeStash.
Prepare Workload
At first, we are going to create a PVC then we are going to create a Deployment that will use this PVC.
Create PVC:
Below is the YAML of the sample PVC that we are going to create,
apiVersion: v1
kind: PersistentVolumeClaim
metadata:
name: kubestash-pvc
namespace: demo
spec:
accessModes:
- ReadWriteOnce
resources:
requests:
storage: 1Gi
Let’s create the PVC we have shown above,
$ kubectl apply -f https://github.com/kubestash/docs/raw/v2024.9.30/docs/guides/workloads/deployment/examples/pvc.yaml
persistentvolumeclaim/kubestash-pvc created
Deploy Deployment:
Now, we are going to deploy a Deployment that uses the above PVC. This Deployment will automatically generate sample data (text.txt
file) in /source/data
directory where we have mounted the PVC.
Below is the YAML of the Deployment that we are going to create,
apiVersion: apps/v1
kind: Deployment
metadata:
labels:
app: kubestash-demo
name: kubestash-demo
namespace: demo
spec:
replicas: 3
selector:
matchLabels:
app: kubestash-demo
template:
metadata:
labels:
app: kubestash-demo
name: busybox
spec:
containers:
- image: busybox
command: ["/bin/sh", "-c","echo dummy_data > /source/data/text.txt && sleep 3000"]
imagePullPolicy: IfNotPresent
name: busybox
volumeMounts:
- mountPath: /source/data
name: source-data
restartPolicy: Always
volumes:
- name: source-data
persistentVolumeClaim:
claimName: kubestash-pvc
Let’s create the Deployment we have shown above.
$ kubectl apply -f https://github.com/kubestash/docs/raw/v2024.9.30/docs/guides/workloads/deployment/examples/deployment.yaml
deployment.apps/kubestash-demo created
Now, wait for the pods of the Deployment to go into the Running
state.
$ kubectl get pod -n demo
NAME READY STATUS RESTARTS AGE
kubestash-demo-67c46977f5-2xzqn 1/1 Running 0 12s
kubestash-demo-67c46977f5-hnbcg 1/1 Running 0 12s
kubestash-demo-67c46977f5-xllz2 1/1 Running 0 12s
Verify that the sample data has been created in /source/data
directory using the following command,
$ kubectl exec -n demo kubestash-demo-67c46977f5-xllz2 -- cat /source/data/text.txt
dummy_data
Prepare Backend
We are going to store our backed up data into a GCS bucket. We have to create a Secret with necessary credentials and a BackupStorage
CR to use this backend. If you want to use a different backend, please read the respective backend configuration doc from here.
Create Secret:
Let’s create a secret called gcs-secret
with access credentials to our desired GCS bucket,
$ echo -n '<your-project-id>' > GOOGLE_PROJECT_ID
$ cat /path/to/downloaded-sa-key.json > GOOGLE_SERVICE_ACCOUNT_JSON_KEY
$ kubectl create secret generic -n demo gcs-secret \
--from-file=./GOOGLE_PROJECT_ID \
--from-file=./GOOGLE_SERVICE_ACCOUNT_JSON_KEY
secret/gcs-secret created
Create BackupStorage:
Now, create a BackupStorage
using this secret. Below is the YAML of BackupStorage
CR we are going to create,
apiVersion: storage.kubestash.com/v1alpha1
kind: BackupStorage
metadata:
name: gcs-storage
namespace: demo
spec:
storage:
provider: gcs
gcs:
bucket: kubestash-qa
prefix: demo
secretName: gcs-secret
usagePolicy:
allowedNamespaces:
from: All
default: true
deletionPolicy: WipeOut
Let’s create the BackupStorage we have shown above,
$ kubectl apply -f https://github.com/kubestash/docs/raw/v2024.9.30/docs/guides/workloads/deployment/examples/backupstorage.yaml
backupstorage.storage.kubestash.com/gcs-storage created
Now, we are ready to backup our sample data into this backend.
Create RetentionPolicy:
Now, let’s create a RetentionPolicy
to specify how the old Snapshots should be cleaned up.
Below is the YAML of the RetentionPolicy
object that we are going to create,
apiVersion: storage.kubestash.com/v1alpha1
kind: RetentionPolicy
metadata:
name: demo-retention
namespace: demo
spec:
default: true
failedSnapshots:
last: 2
maxRetentionPeriod: 2mo
successfulSnapshots:
last: 5
usagePolicy:
allowedNamespaces:
from: All
Let’s create the above RetentionPolicy
,
$ kubectl apply -f https://github.com/kubestash/docs/raw/v2024.9.30/docs/guides/workloads/deployment/examples/retentionpolicy.yaml
retentionpolicy.storage.kubestash.com/demo-retention created
Backup
We have to create a BackupConfiguration
CR targeting the kubestash-demo
Deployment that we have deployed earlier. Then, KubeStash will create a CronJob
for each session to take periodic backup of /source/data
directory of the target.
At first, we need to create a secret with a Restic password for backup data encryption.
Create Secret:
Let’s create a secret called encrypt-secret
with the Restic password,
$ echo -n 'changeit' > RESTIC_PASSWORD
$ kubectl create secret generic -n demo encrypt-secret \
--from-file=./RESTIC_PASSWORD \
secret "encrypt-secret" created
Create BackupConfiguration:
Below is the YAML of the BackupConfiguration
CR that we are going to create,
apiVersion: core.kubestash.com/v1alpha1
kind: BackupConfiguration
metadata:
name: sample-backup-dep
namespace: demo
spec:
target:
apiGroup: apps
kind: Deployment
name: kubestash-demo
namespace: demo
backends:
- name: gcs-backend
storageRef:
name: gcs-storage
namespace: demo
retentionPolicy:
name: demo-retention
namespace: demo
sessions:
- name: demo-session
scheduler:
schedule: "*/5 * * * *"
jobTemplate:
backoffLimit: 1
repositories:
- name: gcs-demo-repo
backend: gcs-backend
directory: /dep
encryptionSecret:
name: encrypt-secret
namespace: demo
addon:
name: workload-addon
tasks:
- name: logical-backup
targetVolumes:
volumeMounts:
- name: source-data
mountPath: /source/data
params:
paths: /source/data
exclude: /source/data/lost+found
retryConfig:
maxRetry: 2
delay: 1m
Let’s create the BackupConfiguration
CR we have shown above,
$ kubectl apply -f https://github.com/kubestash/docs/raw/v2024.9.30/docs/guides/workloads/deployment/examples/backupconfiguration.yaml
backupconfiguration.core.kubestash.com/sample-backup-dep created
Verify Backup Setup Successful
If everything goes well, the phase of the BackupConfiguration
should be Ready
. The Ready
phase indicates that the backup setup is successful. Let’s verify the Phase
of the BackupConfiguration,
$ kubectl get backupconfiguration -n demo
NAME PHASE PAUSED AGE
sample-backup-dep Ready 2m50s
Additionally, we can verify that the Repository
specified in the BackupConfiguration
has been created using the following command,
kubectl get repo -n demo
NAME INTEGRITY SNAPSHOT-COUNT SIZE PHASE LAST-SUCCESSFUL-BACKUP AGE
gcs-demo-repo 0 0 B Ready 3m
KubeStash keeps the backup for Repository
YAMLs. If we navigate to the GCS bucket, we will see the Repository
YAML stored in the demo/dep
directory.
Verify CronJob:
It will also create a CronJob
with the schedule specified in spec.sessions[*].scheduler.schedule
field of BackupConfiguration
CR.
Verify that the CronJob
has been created using the following command,
$ kubectl get cronjob -n demo
NAME SCHEDULE SUSPEND ACTIVE LAST SCHEDULE AGE
trigger-sample-backup-dep-demo-session */2 * * * * 0 2m45s 3m25s
Wait for BackupSession:
Wait for the next schedule for backup. Run the following command to watch BackupSession
CR,
$ kubectl get backupsession -n demo -w
NAME INVOKER-TYPE INVOKER-NAME PHASE DURATION AGE
sample-backup-dep-demo-session-1706015400 BackupConfiguration sample-backup-dep Succeeded 7m22s
We can see from the above output that the backup session has succeeded. Now, we are going to verify whether the backed up data has been stored in the backend.
Verify Backup:
Once a backup is complete, KubeStash will update the respective Repository
CR to reflect the backup. Check that the repository gcs-demo-repo
has been updated by the following command,
$ kubectl get repository -n demo gcs-demo-repo
NAME INTEGRITY SNAPSHOT-COUNT SIZE PHASE LAST-SUCCESSFUL-BACKUP AGE
gcs-demo-repo true 1 806 B Ready 8m27s 9m18s
At this moment we have one Snapshot
. Run the following command to check the respective Snapshot
which represents the state of a backup run for an application.
$ kubectl get snapshots -n demo -l=kubestash.com/repo-name=gcs-demo-repo
NAME REPOSITORY SESSION SNAPSHOT-TIME DELETION-POLICY PHASE AGE
gcs-demo-repo-sample-backup-dep-demo-session-1706015400 gcs-demo-repo demo-session 2024-01-23T13:10:54Z Delete Succeeded 16h
Note: KubeStash creates a
Snapshot
with the following labels:
kubestash.com/app-ref-kind: <target-kind>
kubestash.com/app-ref-name: <target-name>
kubestash.com/app-ref-namespace: <target-namespace>
kubestash.com/repo-name: <repository-name>
These labels can be used to watch only the
Snapshot
s related to our desired Workload orRepository
.
If we check the YAML of the Snapshot
, we can find the information about the backed up components of the Deployment.
$ kubectl get snapshots -n demo gcs-demo-repo-sample-backup-dep-demo-session-1706015400 -oyaml
apiVersion: storage.kubestash.com/v1alpha1
kind: Snapshot
metadata:
labels:
kubestash.com/app-ref-kind: Deployment
kubestash.com/app-ref-name: kubestash-demo
kubestash.com/app-ref-namespace: demo
kubestash.com/repo-name: gcs-demo-repo
name: gcs-demo-repo-sample-backup-dep-demo-session-1706015400
namespace: demo
spec:
...
status:
components:
dump:
driver: Restic
duration: 7.534461497s
integrity: true
path: repository/v1/demo-session/dump
phase: Succeeded
resticStats:
- hostPath: /source/data
id: f28441a36b2167d64597d66d1046573181cad81aa8ff5b0998b64b31ce16f077
size: 11 B
uploaded: 1.049 KiB
size: 806 B
...
For Deployment, KubeStash takes backup from only one pod of the Deployment. So, only one component has been backed up. For logical backup, KubeStash uses
dump
as the component name for Deployment.
Now, if we navigate to the GCS bucket, we will see the backed up data stored in the demo/dep/repository/v1/demo-session/dump
directory. KubeStash also keeps the backup for Snapshot
YAMLs, which can be found in the demo/dep/snapshots
directory.
Note: KubeStash stores all dumped data encrypted in the backup directory, meaning it remains unreadable until decrypted.
Restore
In this section, we are going to show you how to restore in the same Deployment which may be necessary when you have accidentally deleted any data.
Simulate Disaster:
Now, let’s simulate an accidental deletion scenario. Here, we are going to exec into the Deployment pod kubestash-demo-77f9c4cb8c-fc5qh
and delete the text.txt
file from /source/data
.
$ kubectl exec -it -n demo kubestash-demo-67c46977f5-xllz2 -- sh
/ #
/ # rm /source/data/text.txt
/ # cat /source/data/text.txt
cat: can't open '/source/data/text.txt': No such file or directory
/ # exit
Create RestoreSession:
To restore the Deployment, you have to create a RestoreSession
object pointing to the Deployment.
Here, is the YAML of the RestoreSession
object that we are going to use for restoring our kubestash-demo
Deployment.
apiVersion: core.kubestash.com/v1alpha1
kind: RestoreSession
metadata:
name: sample-restore
namespace: demo
spec:
target:
apiGroup: apps
kind: Deployment
name: kubestash-demo
namespace: demo
dataSource:
repository: gcs-demo-repo
snapshot: latest
encryptionSecret:
name: encrypt-secret
namespace: demo
addon:
name: workload-addon
tasks:
- name: logical-backup-restore
Here,
spec.dataSource.snapshot
specifies to restore from latestSnapshot
.
Let’s create the RestoreSession
object we have shown above,
$ kubectl apply -f https://github.com/kubestash/docs/raw/v2024.9.30/docs/guides/workloads/deployment/examples/restoresession.yaml
restoresession.core.kubestash.com/sample-restore created
Once, you have created the RestoreSession
object, KubeStash will create restore Job(s). Run the following command to watch the phase of the RestoreSession
object,
$ watch kubectl get restoresession -n demo
Every 2.0s: kubectl get restores... AppsCode-PC-03: Wed Jan 10 17:13:18 2024
NAME REPOSITORY FAILURE-POLICY PHASE DURATION AGE
sample-restore gcs-demo-repo Succeeded 3s 53s
The Succeeded
phase means that the restore process has been completed successfully.
Verify Restored Data:
Now, lets exec into the Deployment pod and verify whether actual data was restored or not,
$ kubectl exec -n demo kubestash-demo-67c46977f5-xllz2 -- cat /source/data/text.txt
dummy_data
Hence, we can see from the above output that the deleted data has been restored successfully from the backup.
Cleaning Up
To clean up the Kubernetes resources created by this tutorial, run:
kubectl delete -n demo deployment kubestash-demo
kubectl delete -n demo backupconfiguration sample-backup-dep
kubectl delete -n demo restoresession sample-restore
kubectl delete -n demo backupstorage gcs-storage
kubectl delete -n demo pvc --all