You can support us by downloading this article as PDF from the Link below. Download the guide as PDF

A Cluster Autoscaler is a Kubernetes component that automatically adjusts the size of a Kubernetes Cluster so that all pods have a place to run and there are no unneeded nodes. It Works with major Cloud providers – GCP, AWS and Azure. In this short tutorial we will explore how you can install and configure Cluster Autoscaler in your Amazon EKS cluster. The Cluster Autoscaler will automatically modify your node groups so that they scale out when you need more resources and scale in when you have underutilized resources.

You should have a working EKS cluster before you can use this guide. Our guide below should help you get started.

Easily Setup Kubernetes Cluster on AWS with EKS

If you’re looking at Pods autoscaling feature refer to below guide.

Using Horizontal Pod Autoscaler on Kubernetes EKS Cluster

Enable Cluster Autoscaler in an EKS Kubernetes Cluster

The Cluster Autoscaler requires some additional IAM policies and resource tagging before it can manage autoscaling in your cluster.

Step 1: Create EKS Additional IAM policy

The Cluster Autoscaler requires the following IAM permissions to make calls to AWS APIs on your behalf.

Create IAM policy json file:

cat >aws-s3-eks-iam-policy.json<<EOF
    "Version": "2012-10-17",
    "Statement": [
            "Action": [
            "Resource": "*",
            "Effect": "Allow"

Apply the policy:

aws iam create-policy --policy-name EKS-Node-group-IAM-policy --policy-document file://aws-s3-eks-iam-policy.json

This is my policy creation output:

    "Policy": {
        "PolicyName": "EKS-Node-group-IAM-policy",
        "PolicyId": "ANPATWFKCYAHACUQCHO3D",
        "Arn": "arn:aws:iam::253750766592:policy/EKS-Node-group-IAM-policy",
        "Path": "/",
        "DefaultVersionId": "v1",
        "AttachmentCount": 0,
        "PermissionsBoundaryUsageCount": 0,
        "IsAttachable": true,
        "CreateDate": "2020-09-04T12:26:20+00:00",
        "UpdateDate": "2020-09-04T12:26:20+00:00"

Step 2: Attach policy to EKS Node group

If you used the eksctl commands to create your node groups with –asg-access option the permissions required are automatically provided and attached to your node IAM roles.

Login to AWS Console and go EC2 > EKS Instance > Description > IAM role

EKS Configure Cluster Autoscaler 08

Click on the IAM role link to add permissions under Attach Policies

EKS Configure Cluster Autoscaler 10

Attach the policy we created earlier.

This image has an empty alt attribute; its file name is EKS-Configure-Cluster-Autoscaler-03-1024x229.png

Confirm settings.

EKS Configure Cluster Autoscaler 09

Do the same on EKS > ClusterName > Details

EKS Configure Cluster Autoscaler 01

Take note of IAM ARN used by the cluster then go to IAM > Roles and search for it.

EKS Configure Cluster Autoscaler 02

Attach the policy we created to the role.

EKS Configure Cluster Autoscaler 03

Confirm the policy is in the list of attached policies.

EKS Configure Cluster Autoscaler 04

Step 3: Add Node group tags

The Cluster Autoscaler requires the following tags on your node Auto Scaling groups so that they can be auto-discovered.


Navigate to EKS > Clusters > Clustername > Compute

EKS Configure Cluster Autoscaler 05

Select Node Group and click Edit

EKS Configure Cluster Autoscaler 06

Add the Tags at the bottom and save the changes when done.

Step 4: Deploy the Cluster Autoscaler in EKS

Login to the machine from where you execute kubectl command to deploy Cluster autoscaler.

kubectl apply -f

You can as well download the yaml file before applying.

kubectl apply -f ./cluster-autoscaler-autodiscover.yaml

Run the following command to add the annotation to the deployment:

kubectl -n kube-system annotate deployment.apps/cluster-autoscaler"false"

Edit the Cluster Autoscaler deployment:

kubectl edit deploy  cluster-autoscaler -n kube-system

To set your Cluster name and add the following options


See below screenshot for my setup.

EKS Configure Cluster Autoscaler 07

Open the Cluster Autoscaler releases page in a web browser and find the latest Cluster Autoscaler version that matches your cluster’s Kubernetes major and minor version. For example, if your cluster’s Kubernetes version is 1.17 find the latest Cluster Autoscaler release that begins with 1.17. Record the semantic version number (1.17.n) for that release to use in the next step.

Since my cluster is v1.17, I’ll use the latest container image version available for 1.17 which is 1.17.3:

kubectl -n kube-system set image deployment.apps/cluster-autoscaler

Check to see if the Cluster Autoscaler Pod is running:

$ kubectl get pods -n kube-system -w
NAME                                  READY   STATUS    RESTARTS   AGE
aws-node-glfrs                        1/1     Running   0          23d
aws-node-sgh8p                        1/1     Running   0          23d
cluster-autoscaler-6f56b86d9b-p9gc7   1/1     Running   5          21m # It is running
coredns-6987776bbd-2mgxp              1/1     Running   0          23d
coredns-6987776bbd-vdn8j              1/1     Running   0          23d
efs-csi-node-p57gw                    3/3     Running   0          18d
efs-csi-node-z7gh9                    3/3     Running   0          18d
kube-proxy-5glzs                      1/1     Running   0          23d
kube-proxy-hgqm5                      1/1     Running   0          23d
metrics-server-7cb45bbfd5-kbrt7       1/1     Running   0          23d

You can watch for logs stream.

kubectl -n kube-system logs -f deployment.apps/cluster-autoscaler


I0904 14:28:50.937242       1 scale_down.go:431] Scale-down calculation: ignoring 1 nodes unremovable in the last 5m0s
I0904 14:28:50.937257       1 scale_down.go:462] Node - memory utilization 0.702430
I0904 14:28:50.937268       1 scale_down.go:466] Node is not suitable for removal - memory utilization too big (0.702430)
I0904 14:28:50.937333       1 static_autoscaler.go:439] Scale down status: unneededOnly=false lastScaleUpTime=2020-09-04 13:57:03.11117817 +0000 UTC m=+15.907067864 lastScaleDownDeleteTime=2020-09-04 13:57:03.111178246 +0000 UTC m=+15.907067938 lastScaleDownFailTime=2020-09-04 13:57:03.111178318 +0000 UTC m=+15.907068011 scaleDownForbidden=false isDeleteInProgress=false scaleDownInCooldown=false
I0904 14:28:50.937358       1 static_autoscaler.go:452] Starting scale down
I0904 14:28:50.937391       1 scale_down.go:776] No candidates for scale down

Step 5: Testing EKS Cluster Autoscaler

Now that the installation is complete. Let’s put it to test.

I have two nodes in the cluster. Maximum number set in Node Group is 3.

$ $ kubectl get nodes
NAME                                            STATUS   ROLES    AGE   VERSION   Ready    <none>   23d   v1.17.9-eks-4c6976   Ready    <none>   23d   v1.17.9-eks-4c6976

We’ll deploy a huge number of Pods to see if it will autoscale to maximum number of nodes set in Node group.

vim nginx-example-autoscale.yml


apiVersion: apps/v1
kind: Deployment
  name: nginx-deployment
    app: nginx
  replicas: 100
      app: nginx
        app: nginx
      - name: nginx
        image: nginx:1.14.2
        - containerPort: 80

Apply the YAML file

kubectl apply -f nginx-example-autoscale.yml

Watch as new nodes are created.

$ watch kubectl get nodes

You should see a new node created and added to the cluster.

$ kubectl get nodes
NAME                                            STATUS   ROLES    AGE   VERSION   Ready    <none>   26m   v1.17.9-eks-4c6976   Ready    <none>   23d   v1.17.9-eks-4c6976   Ready    <none>   23d   v1.17.9-eks-4c6976

Delete deployment with Pods and the cluster should scale down.

$ kubectl delete -f nginx-example-autoscale.yml

That’s all you need to configure Cluster Autoscaling in an EKS Kubernetes Cluster.

More on EKS:

Install Istio Service Mesh in EKS Kubernetes Cluster

Install CloudWatch Container Insights on EKS | Kubernetes

Deploying Prometheus on EKS Kubernetes Cluster

Kubernetes Learning courses:

You can support us by downloading this article as PDF from the Link below. Download the guide as PDF


Please enter your comment!
Please enter your name here