Overview
KubeDB is the Kubernetes Native Database Management Solution which simplifies and automates routine database tasks such as Provisioning, Monitoring, Upgrading, Patching, Scaling, Volume Expansion, Backup, Recovery, Failure detection, and Repair for various popular databases on private and public clouds. The databases that KubeDB supports are MongoDB, Elasticsearch, MySQL, MariaDB, Redis, PostgreSQL, ProxySQL, Percona XtraDB, Memcached and PgBouncer. You can find the guides to all the supported databases here . In this tutorial we will deploy MongoDB database in Amazon Elastic Kubernetes Service (Amazon EKS). We will cover the following steps:
- Install KubeDB
- Deploy MongoDB ReplicaSet Database
- Install Stash
- Backup MongoDB Database Using Stash
- Recover MongoDB Database Using Stash
Install KubeDB
We will follow the steps to install KubeDB.
Get Cluster ID
We need the cluster ID to get the KubeDB License. To get cluster ID, we can run the following command:
$ kubectl get ns kube-system -o jsonpath='{.metadata.uid}'
250a26e3-2413-4ed2-99dc-57b0548407ff
Get License
Go to Appscode License Server to get the license.txt file. For this tutorial we will use KubeDB Enterprise Edition.
Install KubeDB
We will use helm to install KubeDB. Please install helm here
if it is not already installed.
Now, let’s install KubeDB
.
$ helm repo add appscode https://charts.appscode.com/stable/
$ helm repo update
$ helm search repo appscode/kubedb
NAME CHART VERSION APP VERSION DESCRIPTION
appscode/kubedb v2022.08.08 v2022.08.08 KubeDB by AppsCode - Production ready databases...
appscode/kubedb-autoscaler v0.13.0 v0.13.0 KubeDB Autoscaler by AppsCode - Autoscale KubeD...
appscode/kubedb-catalog v2022.08.08 v2022.08.08 KubeDB Catalog by AppsCode - Catalog for databa...
appscode/kubedb-community v0.24.2 v0.24.2 KubeDB Community by AppsCode - Community featur...
appscode/kubedb-crds v2022.08.08 v2022.08.08 KubeDB Custom Resource Definitions
appscode/kubedb-dashboard v0.4.0 v0.4.0 KubeDB Dashboard by AppsCode
appscode/kubedb-enterprise v0.11.2 v0.11.2 KubeDB Enterprise by AppsCode - Enterprise feat...
appscode/kubedb-grafana-dashboards v2022.08.08 v2022.08.08 A Helm chart for kubedb-grafana-dashboards by A...
appscode/kubedb-metrics v2022.08.08 v2022.08.08 KubeDB State Metrics
appscode/kubedb-ops-manager v0.15.0 v0.15.4 KubeDB Ops Manager by AppsCode - Enterprise fea...
appscode/kubedb-opscenter v2022.08.08 v2022.08.08 KubeDB Opscenter by AppsCode
appscode/kubedb-provisioner v0.28.0 v0.28.4 KubeDB Provisioner by AppsCode - Community feat...
appscode/kubedb-schema-manager v0.4.0 v0.4.0 KubeDB Schema Manager by AppsCode
appscode/kubedb-ui v2022.06.14 0.3.9 A Helm chart for Kubernetes
appscode/kubedb-ui-server v2021.12.21 v2021.12.21 A Helm chart for kubedb-ui-server by AppsCode
appscode/kubedb-webhook-server v0.4.0 v0.4.4 KubeDB Webhook Server by AppsCode
# Install KubeDB Enterprise operator chart
$ helm install kubedb appscode/kubedb \
--version v2022.08.08 \
--namespace kubedb --create-namespace \
--set kubedb-provisioner.enabled=true \
--set kubedb-ops-manager.enabled=true \
--set kubedb-autoscaler.enabled=true \
--set kubedb-dashboard.enabled=true \
--set kubedb-schema-manager.enabled=true \
--set-file global.license=/path/to/the/license.txt
Let’s verify the installation:
$ kubectl get pods --all-namespaces -l "app.kubernetes.io/instance=kubedb"
NAMESPACE NAME READY STATUS RESTARTS AGE
kubedb kubedb-kubedb-autoscaler-68796cf59b-2hl2z 1/1 Running 0 2m22s
kubedb kubedb-kubedb-dashboard-775c5d869c-w9ptn 1/1 Running 0 2m22s
kubedb kubedb-kubedb-ops-manager-66495d6b6d-wjxjx 1/1 Running 0 2m22s
kubedb kubedb-kubedb-provisioner-fff4d6b9b-r6gdj 1/1 Running 0 2m22s
kubedb kubedb-kubedb-schema-manager-7b88c4f7cb-nrqmj 1/1 Running 0 2m22s
kubedb kubedb-kubedb-webhook-server-7c458bf6cc-kdrjd 1/1 Running 0 2m22s
We can list the CRD Groups that have been registered by the operator by running the following command:
$ kubectl get crd -l app.kubernetes.io/name=kubedb
NAME CREATED AT
elasticsearchautoscalers.autoscaling.kubedb.com 2022-09-16T06:44:49Z
elasticsearchdashboards.dashboard.kubedb.com 2022-09-16T06:44:44Z
elasticsearches.kubedb.com 2022-09-16T06:44:44Z
elasticsearchopsrequests.ops.kubedb.com 2022-09-16T06:44:53Z
elasticsearchversions.catalog.kubedb.com 2022-09-16T06:37:52Z
etcds.kubedb.com 2022-09-16T06:44:53Z
etcdversions.catalog.kubedb.com 2022-09-16T06:37:53Z
mariadbautoscalers.autoscaling.kubedb.com 2022-09-16T06:44:49Z
mariadbdatabases.schema.kubedb.com 2022-09-16T06:44:49Z
mariadbopsrequests.ops.kubedb.com 2022-09-16T06:45:12Z
mariadbs.kubedb.com 2022-09-16T06:44:50Z
mariadbversions.catalog.kubedb.com 2022-09-16T06:37:54Z
memcacheds.kubedb.com 2022-09-16T06:44:55Z
memcachedversions.catalog.kubedb.com 2022-09-16T06:37:55Z
mongodbautoscalers.autoscaling.kubedb.com 2022-09-16T06:44:49Z
mongodbdatabases.schema.kubedb.com 2022-09-16T06:44:47Z
mongodbopsrequests.ops.kubedb.com 2022-09-16T06:44:57Z
mongodbs.kubedb.com 2022-09-16T06:44:48Z
mongodbversions.catalog.kubedb.com 2022-09-16T06:37:56Z
mysqldatabases.schema.kubedb.com 2022-09-16T06:44:46Z
mysqlopsrequests.ops.kubedb.com 2022-09-16T06:45:08Z
mysqls.kubedb.com 2022-09-16T06:44:46Z
mysqlversions.catalog.kubedb.com 2022-09-16T06:37:57Z
perconaxtradbopsrequests.ops.kubedb.com 2022-09-16T06:45:28Z
perconaxtradbs.kubedb.com 2022-09-16T06:44:59Z
perconaxtradbversions.catalog.kubedb.com 2022-09-16T06:37:58Z
pgbouncers.kubedb.com 2022-09-16T06:44:59Z
pgbouncerversions.catalog.kubedb.com 2022-09-16T06:37:59Z
postgresdatabases.schema.kubedb.com 2022-09-16T06:44:49Z
postgreses.kubedb.com 2022-09-16T06:44:49Z
postgresopsrequests.ops.kubedb.com 2022-09-16T06:45:21Z
postgresversions.catalog.kubedb.com 2022-09-16T06:38:00Z
proxysqlopsrequests.ops.kubedb.com 2022-09-16T06:45:24Z
proxysqls.kubedb.com 2022-09-16T06:45:00Z
proxysqlversions.catalog.kubedb.com 2022-09-16T06:38:01Z
redises.kubedb.com 2022-09-16T06:45:01Z
redisopsrequests.ops.kubedb.com 2022-09-16T06:45:16Z
redissentinels.kubedb.com 2022-09-16T06:45:01Z
redisversions.catalog.kubedb.com 2022-09-16T06:38:02Z
Deploy MongoDB ReplicaSet Database
Now, we are going to Deploy MongoDB with the help of KubeDB. At first, let’s create a Namespace in which we will deploy the database.
$ kubectl create ns demo
namespace/demo created
Here is the yaml of the MongoDB CRO we are going to use:
apiVersion: kubedb.com/v1alpha2
kind: MongoDB
metadata:
name: mongodb-rs
namespace: demo
spec:
version: "5.0.3"
replicas: 3
replicaSet:
name: rs
storage:
storageClassName: "gp2"
accessModes:
- ReadWriteOnce
resources:
requests:
storage: 1Gi
terminationPolicy: WipeOut
Let’s save this yaml configuration into mongodb-rs.yaml
Then create the above MongoDB CRO
$ kubectl apply -f mongodb-rs.yaml
mongodb.kubedb.com/mongodb-rs created
- In this yaml we can see in the
spec.version
field specifies the version of MongoDB. Here, we are using MongoDBversion 5.0.3
. You can list the KubeDB supported versions of MongoDB by running$ kubectl get mongodbversions
command. spec.storage
specifies PVC spec that will be dynamically allocated to store data for this database. This storage spec will be passed to the StatefulSet created by KubeDB operator to run database pods. You can specify any StorageClass available in your cluster with appropriate resource requests.- And the
spec.terminationPolicy
field is Wipeout means that the database will be deleted without restrictions. It can also be “Halt”, “Delete” and “DoNotTerminate”. Learn More about these HERE .
Once these are handled correctly and the MongoDB object is deployed, you will see that the following objects are created:
$ kubectl get all -n demo
NAME READY STATUS RESTARTS AGE
pod/mongodb-rs-0 2/2 Running 0 5m14s
pod/mongodb-rs-1 2/2 Running 0 4m25s
pod/mongodb-rs-2 2/2 Running 0 3m39s
NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE
service/mongodb-rs ClusterIP 10.100.96.208 <none> 27017/TCP 5m17s
service/mongodb-rs-pods ClusterIP None <none> 27017/TCP 5m18s
NAME READY AGE
statefulset.apps/mongodb-rs 3/3 5m21s
NAME TYPE VERSION AGE
appbinding.appcatalog.appscode.com/mongodb-rs kubedb.com/mongodb 5.0.3 5m23s
NAME VERSION STATUS AGE
mongodb.kubedb.com/mongodb-rs 5.0.3 Ready 5m42s
Let’s check if the database is ready to use,
$ kubectl get mg -n demo mongodb-rs
NAME VERSION STATUS AGE
mongodb-rs 5.0.3 Ready 6m57s
We have successfully deployed MongoDB in AWS. Now we can exec into the container to use the database.
Accessing Database Through CLI
To access the database through CLI, we have to get the credentials to access. Let’s export the credentials as environment variable to our current shell :
Export the Credentials
KubeDB will create Secret and Service for the database sample-mongodb-rs
that we have deployed. Let’s check them using the following commands,
$ kubectl get secret -n demo -l=app.kubernetes.io/instance=mongodb-rs
NAME TYPE DATA AGE
mongodb-rs-auth Opaque 2 7m27s
mongodb-rs-key Opaque 1 7m27s
$ kubectl get service -n demo -l=app.kubernetes.io/instance=mongodb-rs
NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE
mongodb-rs ClusterIP 10.100.96.208 <none> 27017/TCP 8m
mongodb-rs-pods ClusterIP None <none> 27017/TCP 8m1s
Now, we are going to use mongodb-rs-auth
to export credentials.
Let’s export the USER
and PASSWORD
as environment variables to make further commands re-usable.
$ export USER=$(kubectl get secrets -n demo mongodb-rs-auth -o jsonpath='{.data.\username}' | base64 -d)
$ export PASSWORD=$(kubectl get secrets -n demo mongodb-rs-auth -o jsonpath='{.data.\password}' | base64 -d)
Insert Sample Data
In this section, we are going to login into our MongoDB database pod and insert some sample data.
$ kubectl exec -it -n demo sample-mongodb-rs-0 -- mongo admin -u $USER -p $PASSWORD
Defaulted container "mongodb" out of: mongodb, replication-mode-detector, copy-config (init)
MongoDB shell version v5.0.3
...
rs:PRIMARY> show dbs
admin 0.000GB
config 0.000GB
kubedb-system 0.000GB
local 0.000GB
rs:PRIMARY> show users
{
"_id" : "admin.root",
"userId" : UUID("2f66a3cd-f8c2-4a8c-bb6f-ccb25d6eb821"),
"user" : "root",
"db" : "admin",
"roles" : [
{
"role" : "root",
"db" : "admin"
}
],
"mechanisms" : [
"SCRAM-SHA-1",
"SCRAM-SHA-256"
]
}
rs:PRIMARY> use musicdb
switched to db musicdb
rs:PRIMARY> db.songs.insert({"name":"Take Me Home Country Roads"});
WriteResult({ "nInserted" : 1 })
rs:PRIMARY> db.songs.find().pretty()
{
"_id" : ObjectId("632422b664464170468114b0"),
"name" : "Take Me Home Country Roads"
}
rs:PRIMARY> exit
bye
We’ve successfully inserted some sample data to our database. And this was just an example of our MongoDB ReplicaSet database deployment. The other databases that KubeDB supports are Elasticsearch, Redis, MySQL, PostgreSQL, MariaDB, Percona XtraDB, ProxySQL, Memcached and PgBouncer. More information about Run & Manage MongoDB on Kubernetes can be found HERE
Backup MongoDB Database Using Stash
Here, we are going to use Stash to backup the MongoDB database we deployed before.
Install Stash
Kubedb Enterprise License works for Stash too. So, we will use the Enterprise license that we already obtained.
$ helm install stash appscode/stash \
--version v2022.07.09 \
--namespace stash --create-namespace \
--set features.enterprise=true \
--set-file global.license=/path/to/the/license.txt
Let’s verify the installation:
$ kubectl get pods --all-namespaces -l app.kubernetes.io/name=stash-enterprise
NAMESPACE NAME READY STATUS RESTARTS AGE
stash stash-stash-enterprise-649dff5767-ls8lw 2/2 Running 0 69s
Now, to confirm CRD groups have been registered by the operator, run the following command:
$ kubectl get crd -l app.kubernetes.io/name=stash
NAME CREATED AT
backupbatches.stash.appscode.com 2022-09-16T07:22:59Z
backupblueprints.stash.appscode.com 2022-09-16T07:22:59Z
backupconfigurations.stash.appscode.com 2022-09-16T07:22:58Z
backupsessions.stash.appscode.com 2022-09-16T07:22:58Z
functions.stash.appscode.com 2022-09-16T07:18:59Z
repositories.stash.appscode.com 2022-09-16T06:44:52Z
restorebatches.stash.appscode.com 2022-09-16T07:23:00Z
restoresessions.stash.appscode.com 2022-09-16T06:44:52Z
tasks.stash.appscode.com 2022-09-16T07:19:01Z
Prepare Backend
Stash supports various backends for storing data snapshots. It can be a cloud storage like GCS bucket, AWS S3, Azure Blob Storage etc. or a Kubernetes persistent volume like HostPath, PersistentVolumeClaim, NFS etc.
For this tutorial we are going to use Amazon S3 Storage. You can find other setups here .
At first we need to create a secret so that we can access the Amazon S3 bucket. We can do that by the following code:
$ echo -n 'changeit' > RESTIC_PASSWORD
$ echo -n '<your-aws-access-key-id-here>' > AWS_ACCESS_KEY_ID
$ echo -n '<your-aws-secret-access-key-here>' > AWS_SECRET_ACCESS_KEY
$ kubectl create secret generic -n demo s3-secret \
--from-file=./RESTIC_PASSWORD \
--from-file=./AWS_ACCESS_KEY_ID \
--from-file=./AWS_SECRET_ACCESS_KEY
secret/s3-secret created
Create Repository
apiVersion: stash.appscode.com/v1alpha1
kind: Repository
metadata:
name: s3-repo
namespace: demo
spec:
backend:
s3:
endpoint: s3.amazonaws.com
bucket: stash-qa
region: us-east-1
prefix: /mongodb-backup
storageSecretName: s3-secret
This repository CRO specifies the s3-secret
we created before and stores the name and path to the S3 storage bucket. It also specifies the location to the container where we want to backup our database.
Here, My bucket name is
stash-qa
. Don’t forget to changespec.backend.s3.bucket
to your bucket name and ForS3
, uses3.amazonaws.com
as endpoint.
Lets create this repository,
$ kubectl apply -f s3-repo.yaml
repository.stash.appscode.com/s3-repo created
Create BackupConfiguration
Now, we need to create a BackupConfiguration
file that specifies what to backup, where to backup and when to backup.
apiVersion: stash.appscode.com/v1beta1
kind: BackupConfiguration
metadata:
name: mongodb-rs-backup
namespace: demo
spec:
schedule: "*/5 * * * *"
repository:
name: s3-repo
target:
ref:
apiVersion: appcatalog.appscode.com/v1alpha1
kind: AppBinding
name: mongodb-rs
retentionPolicy:
name: keep-last-5
keepLast: 5
prune: true
Create this BackupConfiguration
by following command,
$ kubectl apply -f mongodb-rs-backup.yaml
backupconfiguration.stash.appscode.com/mongodb-rs-backup created
BackupConfiguration
creates a cronjob that backs up the specified database (spec.target
) every 5 minutes.spec.repository
contains the repository name that we have created before calleds3-repo
.spec.target.ref
contains the reference to the appbinding that we want to backup.spec.schedule
specifies that we want to backup the database at 5 minutes interval.spec.retentionPolicy
specifies the policy to follow for cleaning old snapshots.- To learn more about
AppBinding
, click here AppBinding . So, after 5 minutes we can see the following status:
$ kubectl get backupsession -n demo
NAME INVOKER-TYPE INVOKER-NAME PHASE DURATION AGE
mongodb-rs-backup-1663321801 BackupConfiguration mongodb-rs-backup Succeeded 43s 4m35s
$ kubectl get repository -n demo
NAME INTEGRITY SIZE SNAPSHOT-COUNT LAST-SUCCESSFUL-BACKUP AGE
s3-repo true 5.628 KiB 1 5m7s 7m13s
Now if we check our Amazon S3 bucket, we can see that the backup has been successful.
If you have reached here, CONGRATULATIONS!! 🎊 🎊 🎊 You have successfully backed up MongoDB Database using Stash. If you had any problem during the backup process, you can reach out to us via EMAIL .
Recover MongoDB Database Using Stash
Let’s think of a scenario in which the database has been accidentally deleted or there was an error in the database causing it to crash.
Temporarily pause backup
At first, let’s stop taking any further backup of the database so that no backup runs after we delete the sample data. We are going to pause the BackupConfiguration
object. Stash will stop taking any further backup when the BackupConfiguration
is paused.
$ kubectl patch backupconfiguration -n demo mongodb-rs-backup --type="merge" --patch='{"spec": {"paused": true}}'
backupconfiguration.stash.appscode.com/mongodb-rs-backup patched
Now, we are going to delete database to simulate accidental database deletion.
$ kubectl exec -it -n demo mongodb-rs-0 -- mongo admin -u $USER -p $PASSWORD
Defaulted container "mongodb" out of: mongodb, replication-mode-detector, copy-config (init)
MongoDB shell version v5.0.3
...
rs:PRIMARY> show dbs
admin 0.000GB
config 0.000GB
kubedb-system 0.000GB
local 0.000GB
musicdb 0.000GB
rs:PRIMARY> use musicdb
switched to db musicdb
rs:PRIMARY> db.dropDatabase()
{
"ok" : 1,
"$clusterTime" : {
"clusterTime" : Timestamp(1663322330, 2),
"signature" : {
"hash" : BinData(0,"cFotyj1ztl9VNbE2LXK7MdMCRBg="),
"keyId" : NumberLong("7143869457633378308")
}
},
"operationTime" : Timestamp(1663322330, 2)
}
rs:PRIMARY> show dbs
admin 0.000GB
config 0.000GB
kubedb-system 0.000GB
local 0.000GB
rs:PRIMARY> exit
bye
Create a RestoreSession
Below, is the contents of YAML file of the RestoreSession
object that we are going to create.
apiVersion: stash.appscode.com/v1beta1
kind: RestoreSession
metadata:
name: mongodb-rs-restore
namespace: demo
spec:
repository:
name: s3-repo
target:
ref:
apiVersion: appcatalog.appscode.com/v1alpha1
kind: AppBinding
name: mongodb-rs
rules:
- snapshots: [latest]
Now, let’s create RestoreSession
that will initiate restoring from the cloud.
$ kubectl apply -f mongodb-rs-restore.yaml
restoresession.stash.appscode.com/mongodb-rs-restore created
This RestoreSession
specifies where the data will be restored.
Once this is applied, a RestoreSession
will be created. Once it has succeeded, the database has been successfully recovered as you can see below:
$ kubectl get restoresession -n demo
NAME REPOSITORY PHASE DURATION AGE
mongodb-rs-restore s3-repo Succeeded 5s 21s
Now, let’s check whether the database has been correctly restored:
$ kubectl exec -it -n demo mongodb-rs-0 -- mongo admin -u $USER -p $PASSWORD
Defaulted container "mongodb" out of: mongodb, replication-mode-detector, copy-config (init)
MongoDB shell version v5.0.3
...
rs:PRIMARY> show dbs
admin 0.000GB
config 0.000GB
kubedb-system 0.000GB
local 0.000GB
musicdb 0.000GB
rs:PRIMARY> use musicdb
switched to db musicdb
rs:PRIMARY> db.songs.find().pretty()
{
"_id" : ObjectId("632422b664464170468114b0"),
"name" : "Take Me Home Country Roads"
}
rs:PRIMARY> exit
bye
You can see the database has been restored. The recovery of MongoDB Database has been successful. If you faced any difficulties in the recovery process, you can reach out to us through EMAIL .
We have made an in depth tutorial on Managing MongoDB with Arbiter on Kubernetes using KubeDB. You can have a look into the video below:
Support
To speak with us, please leave a message on our website .
To receive product announcements, follow us on Twitter .
To watch tutorials of various Production-Grade Kubernetes Tools Subscribe our YouTube channel.
More about MongoDB in Kubernetes
If you have found a bug with KubeDB or want to request for new features, please file an issue .