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Run Production-Grade Databases on Kubernetes
Backup and Recovery Solution for Kubernetes
Run Production-Grade Vault on Kubernetes
Secure HAProxy Ingress Controller for Kubernetes
Kubernetes Configuration Syncer
Kubernetes Authentication WebHook Server
KubeDB simplifies Provision, Upgrade, Scaling, Volume Expansion, Monitor, Backup, Restore for various Databases in Kubernetes on any Public & Private Cloud
A complete Kubernetes native disaster recovery solution for backup and restore your volumes and databases in Kubernetes on any public and private clouds.
KubeVault is a Git-Ops ready, production-grade solution for deploying and configuring Hashicorp's Vault on Kubernetes.
Secure HAProxy Ingress Controller for Kubernetes
Kubernetes Configuration Syncer
Kubernetes Authentication WebHook Server
New to KubeDB? Please start here.
This guide will show you how to use KubeDB
Enterprise operator to update the resources of a standalone Redis database.
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 KubeDB
Community and Enterprise operator in your cluster following the steps here.
You should be familiar with the following KubeDB
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/examples/redis directory of kubedb/docs repository.
Here, we are going to deploy a Redis
standalone using a supported version by KubeDB
operator. Then we are going to apply vertical scaling on it.
Now, we are going to deploy a Redis
standalone database with version 5.0.3-v1
.
In this section, we are going to deploy a Redis standalone database. Then, in the next section we will update the resources of the database using RedisOpsRequest
CRD. Below is the YAML of the Redis
CR that we are going to create,
apiVersion: kubedb.com/v1alpha2
kind: Redis
metadata:
name: redis-quickstart
namespace: demo
spec:
version: 5.0.3-v1
storageType: Durable
storage:
storageClassName: "standard"
accessModes:
- ReadWriteOnce
resources:
requests:
storage: 1Gi
podTemplate:
spec:
resources:
requests:
cpu: "100m"
memory: "100Mi"
Let’s create the Redis
CR we have shown above,
$ kubectl create -f https://github.com/kubedb/docs/raw/v2023.02.28/docs/examples/redis/scaling/vertical-scaling/rd-standalone.yaml
redis.kubedb.com/redis-quickstart created
Now, wait until rd-quickstart
has status Ready
. i.e. ,
$ kubectl get redis -n demo
NAME VERSION STATUS AGE
redis-quickstart 5.0.3-v1 Ready 2m30s
Let’s check the Pod containers resources,
$ kubectl get pod -n demo redis-quickstart-0 -o json | jq '.spec.containers[].resources'
{
"limits": {
"memory": "100Mi"
},
"requests": {
"cpu": "100m",
"memory": "100Mi"
}
}
We can see from the above output that there are some default resources set by the operator. And the scheduler will choose the best suitable node to place the container of the Pod.
We are now ready to apply the RedisOpsRequest
CR to update the resources of this database.
Here, we are going to update the resources of the standalone database to meet the desired resources after scaling.
In order to update the resources of the database, we have to create a RedisOpsRequest
CR with our desired resources. Below is the YAML of the RedisOpsRequest
CR that we are going to create,
apiVersion: ops.kubedb.com/v1alpha1
kind: RedisOpsRequest
metadata:
name: redisopsstandalone
namespace: demo
spec:
type: VerticalScaling
databaseRef:
name: redis-quickstart
verticalScaling:
redis:
requests:
memory: "300Mi"
cpu: "200m"
limits:
memory: "800Mi"
cpu: "500m"
Here,
spec.databaseRef.name
specifies that we are performing vertical scaling operation on redis-quickstart
database.spec.type
specifies that we are performing VerticalScaling
on our database.spec.verticalScaling.redis
specifies the desired resources after scaling.Let’s create the RedisOpsRequest
CR we have shown above,
$ kubectl apply -f https://github.com/kubedb/docs/raw/v2023.02.28/docs/examples/redis/scaling/vertical-scaling/vertical-standalone.yaml
redisopsrequest.ops.kubedb.com/redisopsstandalone created
If everything goes well, KubeDB
Enterprise operator will update the resources of Redis
object and related StatefulSets
and Pods
.
Let’s wait for RedisOpsRequest
to be Successful
. Run the following command to watch RedisOpsRequest
CR,
$ watch kubectl get redisopsrequest -n demo redisopsstandalone
NAME TYPE STATUS AGE
redisopsstandalone VerticalScaling Successful 26s
We can see from the above output that the RedisOpsRequest
has succeeded.
Now, we are going to verify from the Pod yaml whether the resources of the standalone database has updated to meet up the desired state, Let’s check,
$ kubectl get pod -n demo redis-quickstart-0 -o json | jq '.spec.containers[].resources'
{
"limits": {
"cpu": "500m",
"memory": "800Mi"
},
"requests": {
"cpu": "200m",
"memory": "300Mi"
}
}
The above output verifies that we have successfully scaled up the resources of the Redis standalone database.
To clean up the Kubernetes resources created by this turorial, run:
$ kubectl patch -n demo rd/redis-quickstart -p '{"spec":{"terminationPolicy":"WipeOut"}}' --type="merge"
redis.kubedb.com/redis-quickstart patched
$ kubectl delete -n demo redis redis-quickstart
redis.kubedb.com "redis-quickstart" deleted
$ kubectl delete redisopsrequest -n demo redisopsstandalone
redisopsrequest.ops.kubedb.com "redisopsstandalone" deleted