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Autoscaling the Compute Resource of a Druid Topology Cluster
This guide will show you how to use KubeDB to autoscale compute resources i.e. cpu and memory of a Druid topology cluster.
Before You Begin
At first, you need to have a Kubernetes cluster, and the
kubectlcommand-line tool must be configured to communicate with your cluster.Install
KubeDBProvisioner, Ops-manager and Autoscaler operator in your cluster following the steps here.Install
Metrics Serverfrom hereYou should be familiar with the following
KubeDBconcepts:
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/druid directory of kubedb/docs repository.
Autoscaling of Topology Cluster
Here, we are going to deploy a Druid Topology Cluster using a supported version by KubeDB operator. Then we are going to apply DruidAutoscaler to set up autoscaling.
Create External Dependency (Deep Storage)
Before proceeding further, we need to prepare deep storage, which is one of the external dependency of Druid and used for storing the segments. It is a storage mechanism that Apache Druid does not provide. Amazon S3, Google Cloud Storage, or Azure Blob Storage, S3-compatible storage (like Minio), or HDFS are generally convenient options for deep storage.
In this tutorial, we will run a minio-server as deep storage in our local kind cluster using minio-operator and create a bucket named druid in it, which the deployed druid database will use.
$ helm repo add minio https://operator.min.io/
$ helm repo update minio
$ helm upgrade --install --namespace "minio-operator" --create-namespace "minio-operator" minio/operator --set operator.replicaCount=1
$ helm upgrade --install --namespace "demo" --create-namespace druid-minio minio/tenant \
--set tenant.pools[0].servers=1 \
--set tenant.pools[0].volumesPerServer=1 \
--set tenant.pools[0].size=1Gi \
--set tenant.certificate.requestAutoCert=false \
--set tenant.buckets[0].name="druid" \
--set tenant.pools[0].name="default"
Now we need to create a Secret named deep-storage-config. It contains the necessary connection information using which the druid database will connect to the deep storage.
apiVersion: v1
kind: Secret
metadata:
name: deep-storage-config
namespace: demo
stringData:
druid.storage.type: "s3"
druid.storage.bucket: "druid"
druid.storage.baseKey: "druid/segments"
druid.s3.accessKey: "minio"
druid.s3.secretKey: "minio123"
druid.s3.protocol: "http"
druid.s3.enablePathStyleAccess: "true"
druid.s3.endpoint.signingRegion: "us-east-1"
druid.s3.endpoint.url: "http://myminio-hl.demo.svc.cluster.local:9000/"
Let’s create the deep-storage-config Secret shown above:
$ kubectl create -f https://github.com/kubedb/docs/raw/v2025.3.24/docs/guides/druid/autoscaler/compute/yamls/deep-storage-config.yaml
secret/deep-storage-config created
Now, we are going to deploy a Druid combined cluster with version 28.0.1.
Deploy Druid Cluster
In this section, we are going to deploy a Druid Topology cluster with version 28.0.1. Then, in the next section we will set up autoscaling for this database using DruidAutoscaler CRD. Below is the YAML of the Druid CR that we are going to create,
apiVersion: kubedb.com/v1alpha2
kind: Druid
metadata:
name: druid-cluster
namespace: demo
spec:
version: 28.0.1
deepStorage:
type: s3
configSecret:
name: deep-storage-config
topology:
routers:
replicas: 1
deletionPolicy: WipeOut
Let’s create the Druid CRO we have shown above,
$ kubectl create -f https://github.com/kubedb/docs/raw/v2025.3.24/docs/guides/druid/autoscaler/compute/yamls/druid-cluster.yaml
druid.kubedb.com/druid-cluster created
Now, wait until druid-cluster has status Ready. i.e,
$ kubectl get kf -n demo -w
NAME TYPE VERSION STATUS AGE
druid-cluster kubedb.com/v1alpha2 28.0.1 Provisioning 0s
druid-cluster kubedb.com/v1alpha2 28.0.1 Provisioning 24s
.
.
druid-cluster kubedb.com/v1alpha2 28.0.1 Ready 118s
Druid Topology Autoscaler
Let’s check the Druid resources for coordinators and historicals,
$ kubectl get druid -n demo druid-cluster -o json | jq '.spec.topology.coordinators.podTemplate.spec.containers[].resources'
{
"limits": {
"memory": "1Gi"
},
"requests": {
"cpu": "500m",
"memory": "1Gi"
}
}
$ kubectl get druid -n demo druid-cluster -o json | jq '.spec.topology.historicals.podTemplate.spec.containers[].resources'
{
"limits": {
"memory": "1Gi"
},
"requests": {
"cpu": "500m",
"memory": "1Gi"
}
}
Let’s check the coordinators and historicals Pod containers resources,
$ kubectl get pod -n demo druid-cluster-coordinators-0 -o json | jq '.spec.containers[].resources'
{
"limits": {
"memory": "1Gi"
},
"requests": {
"cpu": "500m",
"memory": "1Gi"
}
}
$ kubectl get pod -n demo druid-cluster-historicals-0 -o json | jq '.spec.containers[].resources'
{
"limits": {
"memory": "1Gi"
},
"requests": {
"cpu": "500m",
"memory": "1Gi"
}
}
You can see from the above outputs that the resources for coordinators and historicals are same as the one we have assigned while deploying the druid.
We are now ready to apply the DruidAutoscaler CRO to set up autoscaling for these coordinators and historicals nodes.
Compute Resource Autoscaling
Here, we are going to set up compute resource autoscaling using a DruidAutoscaler Object.
Create DruidAutoscaler Object
In order to set up compute resource autoscaling for this topology cluster, we have to create a DruidAutoscaler CRO with our desired configuration. Below is the YAML of the DruidAutoscaler object that we are going to create,
apiVersion: autoscaling.kubedb.com/v1alpha1
kind: DruidAutoscaler
metadata:
name: druid-autoscaler
namespace: demo
spec:
databaseRef:
name: druid-quickstart
compute:
coordinators:
trigger: "On"
podLifeTimeThreshold: 1m
minAllowed:
cpu: 600m
memory: 2Gi
maxAllowed:
cpu: 1000m
memory: 5Gi
resourceDiffPercentage: 20
controlledResources: ["cpu", "memory"]
historicals:
trigger: "On"
podLifeTimeThreshold: 1m
minAllowed:
cpu: 600m
memory: 2Gi
maxAllowed:
cpu: 1000m
memory: 5Gi
resourceDiffPercentage: 20
controlledResources: [ "cpu", "memory"]
Here,
spec.databaseRef.namespecifies that we are performing compute resource scaling operation ondruid-clustercluster.spec.compute.coordinators.triggerspecifies that compute autoscaling is enabled for this node.spec.compute.coordinators.podLifeTimeThresholdspecifies the minimum lifetime for at least one of the pod to initiate a vertical scaling.spec.compute.coordinators.resourceDiffPercentagespecifies the minimum resource difference in percentage. The default is 10%. If the difference between current & recommended resource is less than ResourceDiffPercentage, Autoscaler Operator will ignore the updating.spec.compute.coordinators.minAllowedspecifies the minimum allowed resources for the cluster.spec.compute.coordinators.maxAllowedspecifies the maximum allowed resources for the cluster.spec.compute.coordinators.controlledResourcesspecifies the resources that are controlled by the autoscaler.spec.compute.coordinators.containerControlledValuesspecifies which resource values should be controlled. The default is “RequestsAndLimits”.spec.compute.historicalscan be configured the same way shown above.spec.opsRequestOptionscontains the options to pass to the created OpsRequest. It has 2 fields.timeoutspecifies the timeout for the OpsRequest.applyspecifies when the OpsRequest should be applied. The default is “IfReady”.
Note: You can also configure autoscaling configurations for all other nodes as well. You can apply autoscaler for each node in separate YAML or combinedly in one a YAML as shown above.
Let’s create the DruidAutoscaler CR we have shown above,
$ kubectl apply -f https://github.com/kubedb/docs/raw/v2025.3.24/docs/guides/druid/autoscaler/compute/yamls/druid-autoscaler.yaml
druidautoscaler.autoscaling.kubedb.com/druid-autoscaler created
Verify Autoscaling is set up successfully
Let’s check that the druidautoscaler resource is created successfully,
$ kubectl describe druidautoscaler druid-autoscaler -n demo
kubectl describe druidautoscaler druid-autoscaler -n demo
Name: druid-autoscaler
Namespace: demo
Labels: <none>
Annotations: <none>
API Version: autoscaling.kubedb.com/v1alpha1
Kind: DruidAutoscaler
Metadata:
Creation Timestamp: 2024-10-24T10:04:22Z
Generation: 1
Managed Fields:
API Version: autoscaling.kubedb.com/v1alpha1
Fields Type: FieldsV1
fieldsV1:
f:metadata:
f:annotations:
.:
f:kubectl.kubernetes.io/last-applied-configuration:
f:spec:
.:
f:compute:
.:
f:coordinators:
.:
f:controlledResources:
f:maxAllowed:
.:
f:cpu:
f:memory:
f:minAllowed:
.:
f:cpu:
f:memory:
f:podLifeTimeThreshold:
f:resourceDiffPercentage:
f:trigger:
f:historicals:
.:
f:controlledResources:
f:maxAllowed:
.:
f:cpu:
f:memory:
f:minAllowed:
.:
f:cpu:
f:memory:
f:podLifeTimeThreshold:
f:resourceDiffPercentage:
f:trigger:
f:databaseRef:
Manager: kubectl-client-side-apply
Operation: Update
Time: 2024-10-24T10:04:22Z
API Version: autoscaling.kubedb.com/v1alpha1
Fields Type: FieldsV1
fieldsV1:
f:metadata:
f:ownerReferences:
.:
k:{"uid":"c2a5c29d-3589-49d8-bc18-585b9c05bf8d"}:
Manager: kubedb-autoscaler
Operation: Update
Time: 2024-10-24T10:04:22Z
API Version: autoscaling.kubedb.com/v1alpha1
Fields Type: FieldsV1
fieldsV1:
f:status:
.:
f:checkpoints:
f:conditions:
f:vpas:
Manager: kubedb-autoscaler
Operation: Update
Subresource: status
Time: 2024-10-24T10:16:20Z
Owner References:
API Version: kubedb.com/v1alpha2
Block Owner Deletion: true
Controller: true
Kind: Druid
Name: druid-cluster
UID: c2a5c29d-3589-49d8-bc18-585b9c05bf8d
Resource Version: 274969
UID: 069fbdd7-87ad-4fd7-acc7-9753fa188312
Spec:
Compute:
Coordinators:
Controlled Resources:
cpu
memory
Max Allowed:
Cpu: 1000m
Memory: 5Gi
Min Allowed:
Cpu: 600m
Memory: 2Gi
Pod Life Time Threshold: 1m
Resource Diff Percentage: 20
Trigger: On
Historicals:
Controlled Resources:
cpu
memory
Max Allowed:
Cpu: 1000m
Memory: 5Gi
Min Allowed:
Cpu: 600m
Memory: 2Gi
Pod Life Time Threshold: 1m
Resource Diff Percentage: 20
Trigger: On
Database Ref:
Name: druid-cluster
Status:
Checkpoints:
Cpu Histogram:
Bucket Weights:
Index: 0
Weight: 10000
Index: 5
Weight: 490
Reference Timestamp: 2024-10-24T10:05:00Z
Total Weight: 2.871430450948392
First Sample Start: 2024-10-24T10:05:07Z
Last Sample Start: 2024-10-24T10:16:03Z
Last Update Time: 2024-10-24T10:16:20Z
Memory Histogram:
Bucket Weights:
Index: 25
Weight: 3648
Index: 29
Weight: 10000
Reference Timestamp: 2024-10-24T10:10:00Z
Total Weight: 3.3099198846728424
Ref:
Container Name: druid
Vpa Object Name: druid-cluster-historicals
Total Samples Count: 12
Version: v3
Cpu Histogram:
Bucket Weights:
Index: 0
Weight: 3040
Index: 1
Weight: 10000
Index: 2
Weight: 3278
Index: 14
Weight: 1299
Reference Timestamp: 2024-10-24T10:10:00Z
Total Weight: 1.0092715955023177
First Sample Start: 2024-10-24T10:04:53Z
Last Sample Start: 2024-10-24T10:14:03Z
Last Update Time: 2024-10-24T10:14:20Z
Memory Histogram:
Bucket Weights:
Index: 24
Weight: 10000
Index: 27
Weight: 8706
Reference Timestamp: 2024-10-24T10:10:00Z
Total Weight: 3.204567438391289
Ref:
Container Name: druid
Vpa Object Name: druid-cluster-coordinators
Total Samples Count: 10
Version: v3
Conditions:
Last Transition Time: 2024-10-24T10:07:19Z
Message: Successfully created druidOpsRequest demo/drops-druid-cluster-coordinators-g02xtu
Observed Generation: 1
Reason: CreateOpsRequest
Status: True
Type: CreateOpsRequest
Vpas:
Conditions:
Last Transition Time: 2024-10-24T10:05:19Z
Status: True
Type: RecommendationProvided
Recommendation:
Container Recommendations:
Container Name: druid
Lower Bound:
Cpu: 600m
Memory: 2Gi
Target:
Cpu: 600m
Memory: 2Gi
Uncapped Target:
Cpu: 100m
Memory: 764046746
Upper Bound:
Cpu: 1
Memory: 5Gi
Vpa Name: druid-cluster-historicals
Conditions:
Last Transition Time: 2024-10-24T10:06:19Z
Status: True
Type: RecommendationProvided
Recommendation:
Container Recommendations:
Container Name: druid
Lower Bound:
Cpu: 600m
Memory: 2Gi
Target:
Cpu: 600m
Memory: 2Gi
Uncapped Target:
Cpu: 100m
Memory: 671629701
Upper Bound:
Cpu: 1
Memory: 5Gi
Vpa Name: druid-cluster-coordinators
Events: <none>
So, the druidautoscaler resource is created successfully.
you can see in the Status.VPAs.Recommendation section, that recommendation has been generated for our database. Our autoscaler operator continuously watches the recommendation generated and creates an druidopsrequest based on the recommendations, if the database pods resources are needed to scaled up or down.
Let’s watch the druidopsrequest in the demo namespace to see if any druidopsrequest object is created. After some time you’ll see that a druidopsrequest will be created based on the recommendation.
$ watch kubectl get druidopsrequest -n demo
Every 2.0s: kubectl get druidopsrequest -n demo
NAME TYPE STATUS AGE
drops-druid-cluster-coordinators-g02xtu VerticalScaling Progressing 8m
drops-druid-cluster-historicals-g3oqje VerticalScaling Progressing 8m
Progressing Let’s wait for the ops request to become successful.
$ kubectl get druidopsrequest -n demo
NAME TYPE STATUS AGE
drops-druid-cluster-coordinators-g02xtu VerticalScaling Successful 12m
drops-druid-cluster-historicals-g3oqje VerticalScaling Successful 13m
We can see from the above output that the DruidOpsRequest has succeeded. If we describe the DruidOpsRequest we will get an overview of the steps that were followed to scale the cluster.
$ kubectl describe druidopsrequests -n demo drops-druid-cluster-coordinators-f6qbth
Name: drops-druid-cluster-coordinators-g02xtu
Namespace: demo
Labels: app.kubernetes.io/component=database
app.kubernetes.io/instance=druid-cluster
app.kubernetes.io/managed-by=kubedb.com
app.kubernetes.io/name=druids.kubedb.com
Annotations: <none>
API Version: ops.kubedb.com/v1alpha1
Kind: DruidOpsRequest
Metadata:
Creation Timestamp: 2024-10-24T10:07:19Z
Generation: 1
Managed Fields:
API Version: ops.kubedb.com/v1alpha1
Fields Type: FieldsV1
fieldsV1:
f:metadata:
f:labels:
.:
f:app.kubernetes.io/component:
f:app.kubernetes.io/instance:
f:app.kubernetes.io/managed-by:
f:app.kubernetes.io/name:
f:ownerReferences:
.:
k:{"uid":"069fbdd7-87ad-4fd7-acc7-9753fa188312"}:
f:spec:
.:
f:apply:
f:databaseRef:
f:type:
f:verticalScaling:
.:
f:coordinators:
.:
f:resources:
.:
f:limits:
.:
f:memory:
f:requests:
.:
f:cpu:
f:memory:
Manager: kubedb-autoscaler
Operation: Update
Time: 2024-10-24T10:07:19Z
API Version: ops.kubedb.com/v1alpha1
Fields Type: FieldsV1
fieldsV1:
f:status:
.:
f:conditions:
f:observedGeneration:
f:phase:
Manager: kubedb-ops-manager
Operation: Update
Subresource: status
Time: 2024-10-24T10:07:43Z
Owner References:
API Version: autoscaling.kubedb.com/v1alpha1
Block Owner Deletion: true
Controller: true
Kind: DruidAutoscaler
Name: druid-autoscaler
UID: 069fbdd7-87ad-4fd7-acc7-9753fa188312
Resource Version: 273990
UID: d14d964b-f4ae-4570-a296-38e91c802473
Spec:
Apply: IfReady
Database Ref:
Name: druid-cluster
Type: VerticalScaling
Vertical Scaling:
Coordinators:
Resources:
Limits:
Memory: 2Gi
Requests:
Cpu: 600m
Memory: 2Gi
Status:
Conditions:
Last Transition Time: 2024-10-24T10:07:19Z
Message: Druid ops-request has started to vertically scale the Druid nodes
Observed Generation: 1
Reason: VerticalScaling
Status: True
Type: VerticalScaling
Last Transition Time: 2024-10-24T10:07:28Z
Message: Successfully updated PetSets Resources
Observed Generation: 1
Reason: UpdatePetSets
Status: True
Type: UpdatePetSets
Last Transition Time: 2024-10-24T10:07:43Z
Message: Successfully Restarted Pods With Resources
Observed Generation: 1
Reason: RestartPods
Status: True
Type: RestartPods
Last Transition Time: 2024-10-24T10:07:33Z
Message: get pod; ConditionStatus:True; PodName:druid-cluster-coordinators-0
Observed Generation: 1
Status: True
Type: GetPod--druid-cluster-coordinators-0
Last Transition Time: 2024-10-24T10:07:33Z
Message: evict pod; ConditionStatus:True; PodName:druid-cluster-coordinators-0
Observed Generation: 1
Status: True
Type: EvictPod--druid-cluster-coordinators-0
Last Transition Time: 2024-10-24T10:07:38Z
Message: check pod running; ConditionStatus:True; PodName:druid-cluster-coordinators-0
Observed Generation: 1
Status: True
Type: CheckPodRunning--druid-cluster-coordinators-0
Last Transition Time: 2024-10-24T10:07:43Z
Message: Successfully completed the vertical scaling for RabbitMQ
Observed Generation: 1
Reason: Successful
Status: True
Type: Successful
Observed Generation: 1
Phase: Successful
Events:
Type Reason Age From Message
---- ------ ---- ---- -------
Normal Starting 12m KubeDB Ops-manager Operator Start processing for DruidOpsRequest: demo/drops-druid-cluster-coordinators-g02xtu
Normal Starting 12m KubeDB Ops-manager Operator Pausing Druid databse: demo/druid-cluster
Normal Successful 12m KubeDB Ops-manager Operator Successfully paused Druid database: demo/druid-cluster for DruidOpsRequest: drops-druid-cluster-coordinators-g02xtu
Normal UpdatePetSets 12m KubeDB Ops-manager Operator Successfully updated PetSets Resources
Warning get pod; ConditionStatus:True; PodName:druid-cluster-coordinators-0 12m KubeDB Ops-manager Operator get pod; ConditionStatus:True; PodName:druid-cluster-coordinators-0
Warning evict pod; ConditionStatus:True; PodName:druid-cluster-coordinators-0 12m KubeDB Ops-manager Operator evict pod; ConditionStatus:True; PodName:druid-cluster-coordinators-0
Warning check pod running; ConditionStatus:True; PodName:druid-cluster-coordinators-0 12m KubeDB Ops-manager Operator check pod running; ConditionStatus:True; PodName:druid-cluster-coordinators-0
Normal RestartPods 12m KubeDB Ops-manager Operator Successfully Restarted Pods With Resources
Normal Starting 12m KubeDB Ops-manager Operator Resuming Druid database: demo/druid-cluster
Normal Successful 12m KubeDB Ops-manager Operator Successfully resumed Druid database: demo/druid-cluster for DruidOpsRequest: drops-druid-cluster-coordinators-g02xtu
Let’s describe the other DruidOpsRequest created for scaling of historicals.
$ kubectl describe druidopsrequests -n demo drops-druid-cluster-historicals-g3oqje
Name: drops-druid-cluster-historicals-g3oqje
Namespace: demo
Labels: app.kubernetes.io/component=database
app.kubernetes.io/instance=druid-cluster
app.kubernetes.io/managed-by=kubedb.com
app.kubernetes.io/name=druids.kubedb.com
Annotations: <none>
API Version: ops.kubedb.com/v1alpha1
Kind: DruidOpsRequest
Metadata:
Creation Timestamp: 2024-10-24T10:06:19Z
Generation: 1
Managed Fields:
API Version: ops.kubedb.com/v1alpha1
Fields Type: FieldsV1
fieldsV1:
f:metadata:
f:labels:
.:
f:app.kubernetes.io/component:
f:app.kubernetes.io/instance:
f:app.kubernetes.io/managed-by:
f:app.kubernetes.io/name:
f:ownerReferences:
.:
k:{"uid":"069fbdd7-87ad-4fd7-acc7-9753fa188312"}:
f:spec:
.:
f:apply:
f:databaseRef:
f:type:
f:verticalScaling:
.:
f:historicals:
.:
f:resources:
.:
f:limits:
.:
f:memory:
f:requests:
.:
f:cpu:
f:memory:
Manager: kubedb-autoscaler
Operation: Update
Time: 2024-10-24T10:06:19Z
API Version: ops.kubedb.com/v1alpha1
Fields Type: FieldsV1
fieldsV1:
f:status:
.:
f:conditions:
f:observedGeneration:
f:phase:
Manager: kubedb-ops-manager
Operation: Update
Subresource: status
Time: 2024-10-24T10:06:37Z
Owner References:
API Version: autoscaling.kubedb.com/v1alpha1
Block Owner Deletion: true
Controller: true
Kind: DruidAutoscaler
Name: druid-autoscaler
UID: 069fbdd7-87ad-4fd7-acc7-9753fa188312
Resource Version: 273770
UID: fc13624c-42d4-4b03-9448-80f451b1a888
Spec:
Apply: IfReady
Database Ref:
Name: druid-cluster
Type: VerticalScaling
Vertical Scaling:
Historicals:
Resources:
Limits:
Memory: 2Gi
Requests:
Cpu: 600m
Memory: 2Gi
Status:
Conditions:
Last Transition Time: 2024-10-24T10:06:19Z
Message: Druid ops-request has started to vertically scale the Druid nodes
Observed Generation: 1
Reason: VerticalScaling
Status: True
Type: VerticalScaling
Last Transition Time: 2024-10-24T10:06:22Z
Message: Successfully updated PetSets Resources
Observed Generation: 1
Reason: UpdatePetSets
Status: True
Type: UpdatePetSets
Last Transition Time: 2024-10-24T10:06:37Z
Message: Successfully Restarted Pods With Resources
Observed Generation: 1
Reason: RestartPods
Status: True
Type: RestartPods
Last Transition Time: 2024-10-24T10:06:27Z
Message: get pod; ConditionStatus:True; PodName:druid-cluster-historicals-0
Observed Generation: 1
Status: True
Type: GetPod--druid-cluster-historicals-0
Last Transition Time: 2024-10-24T10:06:27Z
Message: evict pod; ConditionStatus:True; PodName:druid-cluster-historicals-0
Observed Generation: 1
Status: True
Type: EvictPod--druid-cluster-historicals-0
Last Transition Time: 2024-10-24T10:06:32Z
Message: check pod running; ConditionStatus:True; PodName:druid-cluster-historicals-0
Observed Generation: 1
Status: True
Type: CheckPodRunning--druid-cluster-historicals-0
Last Transition Time: 2024-10-24T10:06:37Z
Message: Successfully completed the vertical scaling for RabbitMQ
Observed Generation: 1
Reason: Successful
Status: True
Type: Successful
Observed Generation: 1
Phase: Successful
Events:
Type Reason Age From Message
---- ------ ---- ---- -------
Normal Starting 16m KubeDB Ops-manager Operator Start processing for DruidOpsRequest: demo/drops-druid-cluster-historicals-g3oqje
Normal Starting 16m KubeDB Ops-manager Operator Pausing Druid databse: demo/druid-cluster
Normal Successful 16m KubeDB Ops-manager Operator Successfully paused Druid database: demo/druid-cluster for DruidOpsRequest: drops-druid-cluster-historicals-g3oqje
Normal UpdatePetSets 16m KubeDB Ops-manager Operator Successfully updated PetSets Resources
Warning get pod; ConditionStatus:True; PodName:druid-cluster-historicals-0 16m KubeDB Ops-manager Operator get pod; ConditionStatus:True; PodName:druid-cluster-historicals-0
Warning evict pod; ConditionStatus:True; PodName:druid-cluster-historicals-0 16m KubeDB Ops-manager Operator evict pod; ConditionStatus:True; PodName:druid-cluster-historicals-0
Warning check pod running; ConditionStatus:True; PodName:druid-cluster-historicals-0 16m KubeDB Ops-manager Operator check pod running; ConditionStatus:True; PodName:druid-cluster-historicals-0
Normal RestartPods 16m KubeDB Ops-manager Operator Successfully Restarted Pods With Resources
Normal Starting 16m KubeDB Ops-manager Operator Resuming Druid database: demo/druid-cluster
Normal Successful 16m KubeDB Ops-manager Operator Successfully resumed Druid database: demo/druid-cluster for DruidOpsRequest: drops-druid-cluster-historicals-g3oqje
Now, we are going to verify from the Pod, and the Druid yaml whether the resources of the coordinators and historicals node has updated to meet up the desired state, Let’s check,
$ kubectl get pod -n demo druid-cluster-coordinators-0 -o json | jq '.spec.containers[].resources'
{
"limits": {
"memory": "1536Mi"
},
"requests": {
"cpu": "600m",
"memory": "1536Mi"
}
}
$ kubectl get pod -n demo druid-cluster-historicals-0 -o json | jq '.spec.containers[].resources'
{
"limits": {
"memory": "2Gi"
},
"requests": {
"cpu": "600m",
"memory": "2Gi"
}
}
$ kubectl get druid -n demo druid-cluster -o json | jq '.spec.topology.coordinators.podTemplate.spec.containers[].resources'
{
"limits": {
"memory": "1536Mi"
},
"requests": {
"cpu": "600m",
"memory": "1536Mi"
}
}
$ kubectl get druid -n demo druid-cluster -o json | jq '.spec.topology.historicals.podTemplate.spec.containers[].resources'
{
"limits": {
"memory": "2Gi"
},
"requests": {
"cpu": "600m",
"memory": "2Gi"
}
}
The above output verifies that we have successfully auto scaled the resources of the Druid topology cluster for coordinators and historicals.
Cleaning Up
To clean up the Kubernetes resources created by this tutorial, run:
kubectl delete druidopsrequest -n demo drops-druid-cluster-coordinators-g02xtu drops-druid-cluster-historicals-g3oqje
kubectl delete druidautoscaler -n demo druid-autoscaler
kubectl delete dr -n demo druid-cluster
kubectl delete ns demo
Next Steps
- Detail concepts of Druid object.
- Different Druid topology clustering modes here.
- Monitor your Druid database with KubeDB using out-of-the-box Prometheus operator.
- Want to hack on KubeDB? Check our contribution guidelines.