Application Level Backup and Restore PostgreSQL database using KubeStash
KubeStash offers application-level backup and restore functionality for PostgreSQL
databases. It captures both manifest and data backups of any PostgreSQL
database in a single snapshot. During the restore process, KubeStash first applies the PostgreSQL
manifest to the cluster and then restores the data into it.
This guide will give you an overview how you can take application-level backup and restore your PostgreSQL
databases using Kubestash
.
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 usingMinikube
orKind
. - Install
KubeDB
in your cluster following the steps here. - Install
KubeStash
in your cluster following the steps here. - Install KubeStash
kubectl
plugin following the steps here. - If you are not familiar with how KubeStash backup and restore PostgreSQL databases, please check the following guide 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/postgres/backup/kubestash/application-level/examples directory of kubedb/docs repository.
Backup PostgreSQL
KubeStash supports backups for PostgreSQL
instances across different configurations, including Standalone and HA Cluster setups. In this demonstration, we’ll focus on a PostgreSQL
database using HA cluster configuration. The backup and restore process is similar for Standalone configuration.
This section will demonstrate how to take application-level backup of a PostgreSQL
database. Here, we are going to deploy a PostgreSQL
database using KubeDB. Then, we are going to back up the database at the application level to a GCS
bucket. Finally, we will restore the entire PostgreSQL
database.
Deploy Sample PostgreSQL Database
Let’s deploy a sample PostgreSQL
database and insert some data into it.
Create PostgreSQL CR:
Below is the YAML of a sample PostgreSQL
CR that we are going to create for this tutorial:
apiVersion: kubedb.com/v1
kind: Postgres
metadata:
name: sample-postgres
namespace: demo
spec:
version: "16.1"
replicas: 3
standbyMode: Hot
streamingMode: Synchronous
storageType: Durable
storage:
accessModes:
- ReadWriteOnce
resources:
requests:
storage: 1Gi
deletionPolicy: WipeOut
Create the above PostgreSQL
CR,
$ kubectl apply -f https://github.com/kubedb/docs/raw/v2024.11.18/docs/guides/postgres/backup/kubestash/application-level/examples/sample-postgres.yaml
postgres.kubedb.com/sample-postgres created
KubeDB will deploy a PostgreSQL
database according to the above specification. It will also create the necessary Secrets
and Services
to access the database.
Let’s check if the database is ready to use,
$ kubectl get pg -n demo sample-postgres
NAME VERSION STATUS AGE
sample-postgres 16.1 Ready 5m1s
The database is Ready
. Verify that KubeDB has created a Secret
and a Service
for this database using the following commands,
$ kubectl get secret -n demo
NAME TYPE DATA AGE
sample-postgres-auth kubernetes.io/basic-auth 2 5m20s
$ kubectl get service -n demo -l=app.kubernetes.io/instance=sample-postgres
NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE
sample-postgres ClusterIP 10.96.23.177 <none> 5432/TCP,2379/TCP 5m55s
sample-postgres-pods ClusterIP None <none> 5432/TCP,2380/TCP,2379/TCP 5m55s
sample-postgres-standby ClusterIP 10.96.26.118 <none> 5432/TCP 5m55s
Here, we have to use service sample-postgres
and secret sample-postgres-auth
to connect with the database. KubeDB
creates an AppBinding CR that holds the necessary information to connect with the database.
Verify AppBinding:
Verify that the AppBinding
has been created successfully using the following command,
$ kubectl get appbindings -n demo
NAME TYPE VERSION AGE
sample-postgres kubedb.com/postgres 16.1 9m30s
Let’s check the YAML of the above AppBinding
,
$ kubectl get appbindings -n demo sample-postgres -o yaml
apiVersion: appcatalog.appscode.com/v1alpha1
kind: AppBinding
metadata:
annotations:
kubectl.kubernetes.io/last-applied-configuration: |
{"apiVersion":"kubedb.com/v1","kind":"Postgres","metadata":{"annotations":{},"name":"sample-postgres","namespace":"demo"},"spec":{"deletionPolicy":"DoNotTerminate","replicas":3,"standbyMode":"Hot","storage":{"accessModes":["ReadWriteOnce"],"resources":{"requests":{"storage":"1Gi"}}},"storageType":"Durable","streamingMode":"Synchronous","version":"16.1"}}
creationTimestamp: "2024-09-04T10:07:04Z"
generation: 1
labels:
app.kubernetes.io/component: database
app.kubernetes.io/instance: sample-postgres
app.kubernetes.io/managed-by: kubedb.com
app.kubernetes.io/name: postgreses.kubedb.com
name: sample-postgres
namespace: demo
ownerReferences:
- apiVersion: kubedb.com/v1
blockOwnerDeletion: true
controller: true
kind: Postgres
name: sample-postgres
uid: 0810a96c-a2b6-4e8a-a70a-51753660450c
resourceVersion: "245972"
uid: 73bdba85-c932-464b-93a8-7f1ba8dfff1b
spec:
appRef:
apiGroup: kubedb.com
kind: Postgres
name: sample-postgres
namespace: demo
clientConfig:
service:
name: sample-postgres
path: /
port: 5432
query: sslmode=disable
scheme: postgresql
parameters:
apiVersion: appcatalog.appscode.com/v1alpha1
kind: StashAddon
stash:
addon:
backupTask:
name: postgres-backup-16.1
restoreTask:
name: postgres-restore-16.1
secret:
name: sample-postgres-auth
type: kubedb.com/postgres
version: "16.1"
KubeStash uses the AppBinding
CR to connect with the target database. It requires the following two fields to set in AppBinding’s .spec
section.
Here,
.spec.clientConfig.service.name
specifies the name of the Service that connects to the database..spec.secret
specifies the name of the Secret that holds necessary credentials to access the database..spec.type
specifies the types of the app that this AppBinding is pointing to. KubeDB generated AppBinding follows the following format:<app group>/<app resource type>
.
Insert Sample Data:
Now, we are going to exec into one of the database pod and create some sample data. At first, find out the database Pod
using the following command,
$ kubectl get pods -n demo --selector="app.kubernetes.io/instance=sample-postgres"
NAME READY STATUS RESTARTS AGE
sample-postgres-0 2/2 Running 0 16m
sample-postgres-1 2/2 Running 0 13m
sample-postgres-2 2/2 Running 0 13m
Now, let’s exec into the pod and create a table,
$ kubectl exec -it -n demo sample-postgres-0 -- sh
# login as "postgres" superuser.
/ $ psql -U postgres
psql (16.1)
Type "help" for help.
# list available databases
postgres=# \l
List of databases
Name | Owner | Encoding | Locale Provider | Collate | Ctype | ICU Locale | ICU Rules | Access privileges
---------------+----------+----------+-----------------+------------+------------+------------+-----------+-----------------------
kubedb_system | postgres | UTF8 | libc | en_US.utf8 | en_US.utf8 | | |
postgres | postgres | UTF8 | libc | en_US.utf8 | en_US.utf8 | | |
template0 | postgres | UTF8 | libc | en_US.utf8 | en_US.utf8 | | | =c/postgres +
| | | | | | | | postgres=CTc/postgres
template1 | postgres | UTF8 | libc | en_US.utf8 | en_US.utf8 | | | =c/postgres +
| | | | | | | | postgres=CTc/postgres
(4 rows)
# create a database named "demo"
postgres=# create database demo;
CREATE DATABASE
# verify that the "demo" database has been created
postgres=# \l
List of databases
Name | Owner | Encoding | Locale Provider | Collate | Ctype | ICU Locale | ICU Rules | Access privileges
---------------+----------+----------+-----------------+------------+------------+------------+-----------+-----------------------
demo | postgres | UTF8 | libc | en_US.utf8 | en_US.utf8 | | |
kubedb_system | postgres | UTF8 | libc | en_US.utf8 | en_US.utf8 | | |
postgres | postgres | UTF8 | libc | en_US.utf8 | en_US.utf8 | | |
template0 | postgres | UTF8 | libc | en_US.utf8 | en_US.utf8 | | | =c/postgres +
| | | | | | | | postgres=CTc/postgres
template1 | postgres | UTF8 | libc | en_US.utf8 | en_US.utf8 | | | =c/postgres +
| | | | | | | | postgres=CTc/postgres
(5 rows)
# connect to the "demo" database
postgres=# \c demo
You are now connected to database "demo" as user "postgres".
# create a sample table
demo=# CREATE TABLE COMPANY( NAME TEXT NOT NULL, EMPLOYEE INT NOT NULL);
CREATE TABLE
# verify that the table has been created
demo=# \d
List of relations
Schema | Name | Type | Owner
--------+---------+-------+----------
public | company | table | postgres
(1 row)
# insert multiple rows of data into the table
demo=# INSERT INTO COMPANY (NAME, EMPLOYEE) VALUES ('TechCorp', 100), ('InnovateInc', 150), ('AlphaTech', 200);
INSERT 0 3
# verify the data insertion
demo=# SELECT * FROM COMPANY;
name | employee
-------------+----------
TechCorp | 100
InnovateInc | 150
AlphaTech | 200
(3 rows)
# quit from the database
demo=# \q
# exit from the pod
/ $ exit
Now, we are ready to backup the database.
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: Delete
Let’s create the BackupStorage we have shown above,
$ kubectl apply -f https://github.com/kubedb/docs/raw/v2024.11.18/docs/guides/postgres/backup/kubestash/logical/examples/backupstorage.yaml
backupstorage.storage.kubestash.com/gcs-storage created
Now, we are ready to backup our database to our desired 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/kubedb/docs/raw/v2024.11.18/docs/guides/postgres/backup/kubestash/logical/examples/retentionpolicy.yaml
retentionpolicy.storage.kubestash.com/demo-retention created
Backup
We have to create a BackupConfiguration
targeting respective sample-postgres
PostgreSQL database. Then, KubeStash will create a CronJob
for each session to take periodic backup of that database.
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 for BackupConfiguration
CR to take application-level backup of the sample-postgres
database that we have deployed earlier,
apiVersion: core.kubestash.com/v1alpha1
kind: BackupConfiguration
metadata:
name: sample-postgres-backup
namespace: demo
spec:
target:
apiGroup: kubedb.com
kind: Postgres
namespace: demo
name: sample-postgres
backends:
- name: gcs-backend
storageRef:
namespace: demo
name: gcs-storage
retentionPolicy:
name: demo-retention
namespace: demo
sessions:
- name: frequent-backup
scheduler:
schedule: "*/5 * * * *"
jobTemplate:
backoffLimit: 1
repositories:
- name: gcs-postgres-repo
backend: gcs-backend
directory: /postgres
encryptionSecret:
name: encrypt-secret
namespace: demo
addon:
name: postgres-addon
tasks:
- name: manifest-backup
- name: logical-backup
.spec.sessions[*].schedule
specifies that we want to backup at5 minutes
interval..spec.target
refers to the targetedsample-postgres
PostgreSQL database that we created earlier..spec.sessions[*].addon.tasks[*].name[*]
specifies that both themanifest-backup
andlogical-backup
tasks will be executed.
Let’s create the BackupConfiguration
CR that we have shown above,
$ kubectl apply -f https://github.com/kubedb/docs/raw/v2024.11.18/docs/guides/postgres/kubestash/application-level/examples/backupconfiguration.yaml
backupconfiguration.core.kubestash.com/sample-postgres-backup 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-postgres-backup 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-postgres-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/postgres
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-postgres-backup-frequent-backup */5 * * * * 0 2m45s 3m25s
Verify BackupSession:
KubeStash triggers an instant backup as soon as the BackupConfiguration
is ready. After that, backups are scheduled according to the specified schedule.
$ kubectl get backupsession -n demo -w
NAME INVOKER-TYPE INVOKER-NAME PHASE DURATION AGE
sample-postgres-backup-frequent-backup-1725449400 BackupConfiguration sample-postgres-backup 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 sample-postgres-backup
has been updated by the following command,
$ kubectl get repository -n demo gcs-postgres-repo
NAME INTEGRITY SNAPSHOT-COUNT SIZE PHASE LAST-SUCCESSFUL-BACKUP AGE
gcs-postgres-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-postgres-repo
NAME REPOSITORY SESSION SNAPSHOT-TIME DELETION-POLICY PHASE AGE
gcs-postgres-repo-sample-postgres-backup-frequent-backup-1725449400 gcs-postgres-repo frequent-backup 2024-01-23T13:10:54Z Delete Succeeded 16h
Note: KubeStash creates a
Snapshot
with the following labels:
kubedb.com/db-version: <db-version>
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 target Database orRepository
.
If we check the YAML of the Snapshot
, we can find the information about the backed up components of the Database.
$ kubectl get snapshots -n demo gcs-postgres-repo-sample-postgres-backup-frequent-backup-1725449400 -oyaml
apiVersion: storage.kubestash.com/v1alpha1
kind: Snapshot
metadata:
creationTimestamp: "2024-09-05T09:08:03Z"
finalizers:
- kubestash.com/cleanup
generation: 1
labels:
kubedb.com/db-version: "16.1"
kubestash.com/app-ref-kind: Postgres
kubestash.com/app-ref-name: sample-postgres
kubestash.com/app-ref-namespace: demo
kubestash.com/repo-name: gcs-postgres-repo
annotations:
kubedb.com/db-version: "16.1"
name: gcs-postgres-repo-sample-postgres-backup-frequent-backup-1725449400
namespace: demo
ownerReferences:
- apiVersion: storage.kubestash.com/v1alpha1
blockOwnerDeletion: true
controller: true
kind: Repository
name: gcs-postgres-repo
uid: fa9086e5-285a-4b4a-9096-072bf7dbe2f7
resourceVersion: "289843"
uid: 43f17a3f-4ac7-443c-a139-151f2e5bf462
spec:
appRef:
apiGroup: kubedb.com
kind: Postgres
name: sample-postgres
namespace: demo
backupSession: sample-postgres-backup-frequent-backup-1725527283
deletionPolicy: Delete
repository: gcs-postgres-repo
session: frequent-backup
snapshotID: 01J70Q1NT6FW11YBBARRFJ6SYB
type: FullBackup
version: v1
status:
components:
dump:
driver: Restic
duration: 6.684476865s
integrity: true
path: repository/v1/frequent-backup/dump
phase: Succeeded
resticStats:
- hostPath: dumpfile.sql
id: 4b820700710f9f7b6a8d5b052367b51875e68dcd9052c749a686506db6a66374
size: 3.345 KiB
uploaded: 3.634 KiB
size: 1.135 KiB
manifest:
driver: Restic
duration: 7.477728298s
integrity: true
path: repository/v1/frequent-backup/manifest
phase: Succeeded
resticStats:
- hostPath: /kubestash-tmp/manifest
id: 9da4d1b7df6dd946e15a8a0d2a2a3c14776351e27926156770530ca03f6f8002
size: 3.064 KiB
uploaded: 1.443 KiB
size: 2.972 KiB
conditions:
- lastTransitionTime: "2024-09-05T09:08:03Z"
message: Recent snapshot list updated successfully
reason: SuccessfullyUpdatedRecentSnapshotList
status: "True"
type: RecentSnapshotListUpdated
- lastTransitionTime: "2024-09-05T09:08:49Z"
message: Metadata uploaded to backend successfully
reason: SuccessfullyUploadedSnapshotMetadata
status: "True"
type: SnapshotMetadataUploaded
integrity: true
phase: Succeeded
size: 4.106 KiB
snapshotTime: "2024-09-05T09:08:03Z"
totalComponents: 2
KubeStash uses
pg_dump
orpg_dumpall
to perform backups of targetPostgreSQL
databases. Therefore, the component name for logical backups is set asdump
.
KubeStash set component name as
manifest
for themanifest backup
of PostgreSQL databases.
Now, if we navigate to the GCS bucket, we will see the backed up data stored in the demo/popstgres/repository/v1/frequent-backup/dump
directory. KubeStash also keeps the backup for Snapshot
YAMLs, which can be found in the demo/postgres/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 restore the entire database from the backup that we have taken in the previous section.
For this tutorial, we will restore the database in a separate namespace called dev
.
First, create the namespace by running the following command:
$ kubectl create ns dev
namespace/dev created
Create RestoreSession:
We need to create a RestoreSession CR.
Below, is the contents of YAML file of the RestoreSession
CR that we are going to create to restore the entire database.
apiVersion: core.kubestash.com/v1alpha1
kind: RestoreSession
metadata:
name: restore-sample-postgres
namespace: demo
spec:
manifestOptions:
postgres:
restoreNamespace: dev
dataSource:
repository: gcs-postgres-repo
snapshot: latest
encryptionSecret:
name: encrypt-secret
namespace: demo
addon:
name: postgres-addon
tasks:
- name: logical-backup-restore
- name: manifest-restore
Here,
.spec.manifestOptions.postgres.db
specifies whether to restore the DB manifest or not..spec.dataSource.repository
specifies the Repository object that holds the backed up data..spec.dataSource.snapshot
specifies to restore from latestSnapshot
..spec.addon.tasks[*]
specifies that both themanifest-restore
andlogical-backup-restore
tasks.
Let’s create the RestoreSession CR object we have shown above,
$ kubectl apply -f https://github.com/kubedb/docs/raw/v2024.11.18/docs/guides/postgres/backup/kubestash/application-level/examples/restoresession.yaml
restoresession.core.kubestash.com/restore-sample-postgres created
Once, you have created the RestoreSession
object, KubeStash will create restore Job. 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 Aug 21 10:44:05 2024
NAME REPOSITORY FAILURE-POLICY PHASE DURATION AGE
restore-sample-postgres gcs-postgres-repo Succeeded 3s 53s
The Succeeded
phase means that the restore process has been completed successfully.
Verify Restored PostgreSQL Manifest:
In this section, we will verify whether the desired PostgreSQL
database manifest has been successfully applied to the cluster.
$ kubectl get postgres -n dev
NAME VERSION STATUS AGE
sample-postgres 16.1 Ready 9m46s
The output confirms that the PostgreSQL
database has been successfully created with the same configuration as it had at the time of backup.
Verify Restored Data:
In this section, we are going to verify whether the desired data has been restored successfully. We are going to connect to the database server and check whether the database and the table we created earlier in the original database are restored.
At first, check if the database has gone into Ready
state by the following command,
$ kubectl get postgres -n dev sample-postgres
NAME VERSION STATUS AGE
sample-postgres 16.1 Ready 9m46s
Now, find out the database Pod
by the following command,
$ kubectl get pods -n dev --selector="app.kubernetes.io/instance=sample-postgres"
NAME READY STATUS RESTARTS AGE
sample-postgres-0 2/2 Running 0 12m
sample-postgres-1 2/2 Running 0 12m
sample-postgres-2 2/2 Running 0 12m
Now, lets exec one of the Pod and verify restored data.
$ kubectl exec -it -n dev sample-postgres-0 -- /bin/sh
# login as "postgres" superuser.
/ # psql -U postgres
psql (11.11)
Type "help" for help.
# verify that the "demo" database has been restored
postgres=# \l
List of databases
Name | Owner | Encoding | Locale Provider | Collate | Ctype | ICU Locale | ICU Rules | Access privileges
---------------+----------+----------+-----------------+------------+------------+------------+-----------+-----------------------
demo | postgres | UTF8 | libc | en_US.utf8 | en_US.utf8 | | |
kubedb_system | postgres | UTF8 | libc | en_US.utf8 | en_US.utf8 | | |
postgres | postgres | UTF8 | libc | en_US.utf8 | en_US.utf8 | | |
template0 | postgres | UTF8 | libc | en_US.utf8 | en_US.utf8 | | | =c/postgres +
| | | | | | | | postgres=CTc/postgres
template1 | postgres | UTF8 | libc | en_US.utf8 | en_US.utf8 | | | =c/postgres +
| | | | | | | | postgres=CTc/postgres
(5 rows)
# connect to the "demo" database
postgres=# \c demo
You are now connected to database "demo" as user "postgres".
# verify that the sample table has been restored
demo=# \d
List of relations
Schema | Name | Type | Owner
--------+---------+-------+----------
public | company | table | postgres
(1 row)
# disconnect from the database
demo=# \q
# exit from the pod
/ # exit
So, from the above output, we can see the demo
database we had created in the original database sample-postgres
has been restored successfully.
Cleanup
To cleanup the Kubernetes resources created by this tutorial, run:
kubectl delete backupconfigurations.core.kubestash.com -n demo sample-postgres-backup
kubectl delete retentionpolicies.storage.kubestash.com -n demo demo-retention
kubectl delete restoresessions.core.kubestash.com -n demo restore-sample-postgres
kubectl delete backupstorage -n demo gcs-storage
kubectl delete secret -n demo gcs-secret
kubectl delete secret -n demo encrypt-secret
kubectl delete postgres -n demo sample-postgres
kubectl delete postgres -n dev sample-postgres