Tutorial: Deploy the Kubernetes Web UI (Dashboard)

This tutorial guides you through deploying the Kubernetes dashboard to your Amazon EKS cluster, complete with CPU and memory metrics. It also helps you to create an Amazon EKS administrator service account that you can use to securely connect to the dashboard to view and control your cluster.

Prerequisites

This tutorial assumes the following:

• You have created an Amazon EKS cluster by following the steps in Getting Started with Amazon EKS.

• The security groups for your control plane elastic network interfaces and worker nodes follow the recommended settings in Amazon EKS Security Group Considerations.

• You are using a kubectl client that is configured to communicate with your Amazon EKS cluster.

Step 1: Deploy the Kubernetes Metrics Server

The Kubernetes metrics server is an aggregator of resource usage data in your cluster, and it is not deployed by default in Amazon EKS clusters. The Kubernetes dashboard uses the metrics server to gather metrics for your cluster, such as CPU and memory usage over time. Choose the tab below that corresponds to your desired deployment method.

curl and jq

To install metrics-server from GitHub on an Amazon EKS cluster using curl and jq

If you have a macOS or Linux system with curl, tar, gzip, and the jq JSON parser installed, you can download, extract, and install the latest release with the following commands. Otherwise, use the next procedure to download the latest version using a web browser.

1. Open a terminal window and navigate to a directory where you would like to download the latest metrics-server release.

2. Copy and paste the commands below into your terminal window and type Enter to execute them. These commands download the latest release, extract it, and apply the version 1.8+ manifests to your cluster.

   DOWNLOAD_URL=$(curl -Ls "https://api.github.com/repos/kubernetes-sigs/metrics-server/releases/latest" | jq -r .tarball_url)
   DOWNLOAD_VERSION=$(grep -o '[^/v]*$' <<< $DOWNLOAD_URL)
   curl -Ls $DOWNLOAD_URL -o metrics-server-$DOWNLOAD_VERSION.tar.gz
   mkdir metrics-server-$DOWNLOAD_VERSION
   tar -xzf metrics-server-$DOWNLOAD_VERSION.tar.gz --directory metrics-server-$DOWNLOAD_VERSION --strip-components 1
   kubectl apply -f metrics-server-$DOWNLOAD_VERSION/deploy/1.8+/

3. Verify that the metrics-server deployment is running the desired number of pods with the following command.

   kubectl get deployment metrics-server -n kube-system

   Output:

   NAME             DESIRED   CURRENT   UP-TO-DATE   AVAILABLE   AGE
   metrics-server   1         1         1            1           56m

Web browser

To install metrics-server from GitHub on an Amazon EKS cluster using a web browser

1. Download and extract the latest version of the metrics server code from GitHub.

   1. Navigate to the latest release page of the metrics-server project on GitHub (https://github.com/kubernetes-sigs/metrics-server/releases/latest), then choose a source code archive for the latest release to download it.

      Note

      If you are downloading to a remote server, you can use the following wget command, substituting the alternate-colored text with the latest version number.

      wget -O v0.3.6.tar.gz https://codeload.github.com/kubernetes-sigs/metrics-server/tar.gz/v0.3.6

   2. Navigate to your downloads location and extract the source code archive. For example, if you downloaded the .tar.gz archive, use the following command to extract (substituting your release version).

      tar -xzf v0.3.6.tar.gz

2. Apply all of the YAML manifests in the metrics-server-0.3.6/deploy/1.8+ directory (substituting your release version).

   kubectl apply -f metrics-server-0.3.6/deploy/1.8+/

3. Verify that the metrics-server deployment is running the desired number of pods with the following command.

   kubectl get deployment metrics-server -n kube-system

   Output:

   NAME             DESIRED   CURRENT   UP-TO-DATE   AVAILABLE   AGE
   metrics-server   1         1         1            1           56m

Step 2: Deploy the Dashboard

Use the following command to deploy the Kubernetes dashboard.

kubectl apply -f https://raw.githubusercontent.com/kubernetes/dashboard/v2.0.0-beta8/aio/deploy/recommended.yaml

Output:

namespace/kubernetes-dashboard created
serviceaccount/kubernetes-dashboard created
service/kubernetes-dashboard created
secret/kubernetes-dashboard-certs created
secret/kubernetes-dashboard-csrf created
secret/kubernetes-dashboard-key-holder created
configmap/kubernetes-dashboard-settings created
role.rbac.authorization.k8s.io/kubernetes-dashboard created
clusterrole.rbac.authorization.k8s.io/kubernetes-dashboard created
rolebinding.rbac.authorization.k8s.io/kubernetes-dashboard created
clusterrolebinding.rbac.authorization.k8s.io/kubernetes-dashboard created
deployment.apps/kubernetes-dashboard created
service/dashboard-metrics-scraper created
deployment.apps/dashboard-metrics-scraper created

Step 3: Create an eks-admin Service Account and Cluster Role Binding

By default, the Kubernetes dashboard user has limited permissions. In this section, you create an eks-admin service account and cluster role binding that you can use to securely connect to the dashboard with admin-level permissions. For more information, see Managing Service Accounts in the Kubernetes documentation.

To create the eks-admin service account and cluster role binding

Important

The example service account created with this procedure has full cluster-admin (superuser) privileges on the cluster. For more information, see Using RBAC Authorization in the Kubernetes documentation.

1. Create a file called eks-admin-service-account.yaml with the text below. This manifest defines a service account and cluster role binding called eks-admin.

   apiVersion: v1
   kind: ServiceAccount
   metadata:
     name: eks-admin
     namespace: kube-system
   ---
   apiVersion: rbac.authorization.k8s.io/v1beta1
   kind: ClusterRoleBinding
   metadata:
     name: eks-admin
   roleRef:
     apiGroup: rbac.authorization.k8s.io
     kind: ClusterRole
     name: cluster-admin
   subjects:
   - kind: ServiceAccount
     name: eks-admin
     namespace: kube-system

2. Apply the service account and cluster role binding to your cluster.

   kubectl apply -f eks-admin-service-account.yaml

   Output:

   serviceaccount "eks-admin" created
   clusterrolebinding.rbac.authorization.k8s.io "eks-admin" created

Step 4: Connect to the Dashboard

Now that the Kubernetes dashboard is deployed to your cluster, and you have an administrator service account that you can use to view and control your cluster, you can connect to the dashboard with that service account.

To connect to the Kubernetes dashboard

1. Retrieve an authentication token for the eks-admin service account. Copy the <authentication_token> value from the output. You use this token to connect to the dashboard.

   kubectl -n kube-system describe secret $(kubectl -n kube-system get secret | grep eks-admin | awk '{print $1}')

   Output:

   Name:         eks-admin-token-b5zv4
   Namespace:    kube-system
   Labels:       <none>
   Annotations:  kubernetes.io/service-account.name=eks-admin
                 kubernetes.io/service-account.uid=bcfe66ac-39be-11e8-97e8-026dce96b6e8
   
   Type:  kubernetes.io/service-account-token
   
   Data
   ====
   ca.crt:     1025 bytes
   namespace:  11 bytes
   token:      <authentication_token>

2. Start the kubectl proxy.

   kubectl proxy

3. To access the dashboard endpoint, open the following link with a web browser: http://localhost:8001/api/v1/namespaces/kubernetes-dashboard/services/https:kubernetes-dashboard:/proxy/#!/login.

4. Choose Token, paste the <authentication_token> output from the previous command into the Token field, and choose SIGN IN.

   
   Note

   It may take a few minutes before CPU and memory metrics appear in the dashboard.

Step 5: Next Steps

After you have connected to your Kubernetes cluster dashboard, you can view and control your cluster using your eks-admin service account. For more information about using the dashboard, see the project documentation on GitHub.