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Authenticate to the Kubernetes API server | GKE Documentation

This page guides you through authenticating securely to the Kubernetes API server from GKE clusters. You can secure your cluster by ensuring that only authorized users and applications access your Kubernetes resources. You'll learn about available authentication methods, the recommended authentication method, and how to authenticate users, applications, and legacy systems.

For information on authenticating Kubernetes workloads to Google Cloud APIs, refer to Workload Identity Federation for GKE.

This page is for Security specialists and Operators who must authenticate securely to the Kubernetes API server from GKE clusters. This page provides essential information on available authentication methods and how to implement them. To learn more about common roles and example tasks that we reference in Google Cloud content, see Common GKE user roles and tasks.

Before reading this page, ensure that you're familiar with the following concepts:

• General overview of authentication in Google Cloud
• General overview of IAM and role-based access control (RBAC) in GKE
• General overview of Kubernetes methods for authentication

Before you start, make sure that you have performed the following tasks:

• Enable the Google Kubernetes Engine API.
Enable Google Kubernetes Engine API
• If you want to use the Google Cloud CLI for this task, install and then initialize the gcloud CLI. If you previously installed the gcloud CLI, get the latest version by running gcloud components update. Note: For existing gcloud CLI installations, make sure to set the compute/region property. If you use primarily zonal clusters, set the compute/zone instead. By setting a default location, you can avoid errors in the gcloud CLI like the following: One of [--zone, --region] must be supplied: Please specify location. You might need to specify the location in certain commands if the location of your cluster differs from the default that you set.

GKE manages end-user authentication for you through the Google Cloud CLI. The gcloud CLI authenticates users to Google Cloud, sets up the Kubernetes configuration, gets an OAuth access token for the cluster, and keeps the access token up-to-date.

All GKE clusters are configured to accept Google Cloud user and service account identities, by validating the credentials presented by kubectl and retrieving the email address associated with the user or service account identity. As a result, the credentials for those accounts must include the userinfo.email OAuth scope to successfully authenticate.

When you use gcloud to set up your environment's kubeconfig for a new or existing cluster, gcloud gives kubectl the same credentials used by gcloud itself. For example, if you use gcloud auth login, your personal credentials are provided to kubectl, including the userinfo.email scope. This allows the GKE cluster to authenticate the kubectl client.

Alternatively, you may choose to configure kubectl to use the credentials of a Google Cloud service account, while running on a Compute Engine instance. However, by default, the userinfo.email scope is not included in credentials created by Compute Engine instances. Therefore, you must add this scope explicitly, such as by using the --scopes flag when the Compute Engine instance is created.

You can authorize actions in your cluster using Identity and Access Management (IAM) or Kubernetes Role Based Access Control (RBAC).

To authenticate to your cluster using the OAuth method, perform the following:

1. Sign in to the gcloud CLI using your credentials. This opens a web browser to complete the authentication process to Google Cloud:

   gcloud auth login
   

   Caution: Don't perform this on a Compute Engine VM where all users have access to root. Use a service account for authentication. For details, see the Applications within Google Cloud section.

2. Retrieve the Kubernetes credentials for a specific cluster:

   gcloud container clusters get-credentials CLUSTER_NAME \
       --location=CONTROL_PLANE_LOCATION
   

   Replace the following:

   • CLUSTER_NAME: the name of the cluster.
   • CONTROL_PLANE_LOCATION: the Compute Engine location of the control plane of your cluster. Provide a region for regional clusters, or a zone for zonal clusters.

3. Verify that you are authenticated:

   kubectl cluster-info
   

Once users or Google Cloud service accounts are authenticated, they must also be authorized to perform any action on a GKE cluster. For more information on how to configure authorization, see role-based access control.

You can also authenticate to the API server from an application in a Pod without user interaction, such as from a script in your CI/CD pipeline. How you achieve this depends on the environment where your application is running.

If your application is running in the same GKE cluster, use a Kubernetes service account to authenticate.

1. Create a Kubernetes service account and attach it to your Pod. If your Pod already has a Kubernetes service account, or if you want to use the namespace's default service account, skip this step.

2. Use Kubernetes RBAC to grant the Kubernetes service account the permissions that your application requires.

   The following example grants view permissions to resources in the prod namespace to a service account named cicd in the cicd-ns namespace:

   kubectl create rolebinding cicd-secret-viewer \
       --namespace=prod \
       --clusterrole=view \
       --serviceaccount=cicd-ns:cicd
   

3. At runtime, when your application sends a Kubernetes API request, the API server authenticates the service account credentials.

If your application runs inside Google Cloud but outside the target cluster (for example, a Compute Engine VM or another GKE cluster), you should authenticate to the API server using the IAM service account credentials available in the environment.

1. Assign an IAM service account to your environment. If your application is running inside a Compute Engine VM, assign an IAM service account to the instance. If your application is running in a different GKE cluster, use Workload Identity Federation for GKE to configure your Pod to run as an IAM service account.

   The examples that follow use ci-cd-pipeline@PROJECT_ID.iam.gserviceaccount.com as the IAM service account.

2. Grant the IAM service account access to the cluster.

   The following example grants the roles/container.developer IAM role, which provides access to Kubernetes API objects inside clusters:

   gcloud projects add-iam-policy-binding PROJECT_ID \
       --member=serviceAccount:ci-cd-pipeline@PROJECT_ID.iam.gserviceaccount.com \
       --role=roles/container.developer
   

   Alternatively, you can use RBAC to grant the IAM service account access to the cluster. Run the kubectl create rolebinding command from Applications in the same cluster and use --user=ci-cd-pipeline@PROJECT_ID.iam.gserviceaccount.com instead of the --service-account flag.

3. Retrieve the cluster credentials:

   gcloud container clusters get-credentials CLUSTER_NAME \
       --location=CONTROL_PLANE_LOCATION
   

   Your application is automatically authenticated using the IAM service account set on the environment.

If your application is authenticating from an environment outside Google Cloud, it cannot access managed IAM service account credentials. To retrieve cluster credentials, you can create an IAM service account, download its key, and use the key at runtime from your service to retrieve cluster credentials with the gcloud CLI.

1. Create an IAM service account for your application. If you already have an IAM service account, skip this step.

   The following command creates an IAM service account named ci-cd-pipeline:

   gcloud iam service-accounts create ci-cd-pipeline
   

2. Grant the IAM service account access to your cluster.

   The following command grants the roles/container.developer IAM role to the ci-cd-pipeline@PROJECT_ID.iam.gserviceaccount.com IAM service account:

   gcloud projects add-iam-policy-binding PROJECT_ID \
       --member=serviceAccount:ci-cd-pipeline@PROJECT_ID.iam.gserviceaccount.com \
       --role=roles/container.developer
   

   You can also use RBAC to grant the IAM service account access to the cluster. Run the kubectl create rolebinding command from Applications in the same cluster and use --user=ci-cd-pipeline@PROJECT_ID.iam.gserviceaccount.com instead of the --service-account flag.

3. Create and download a key for your IAM service account. Make it available to your application at runtime:

   gcloud iam service-accounts keys create gsa-key.json \
       --iam-account=ci-cd-pipeline@PROJECT_ID.iam.gserviceaccount.com
   

4. At runtime, in the environment running your application, authenticate to the gcloud CLI by using your IAM service account key:

   gcloud auth activate-service-account ci-cd-pipeline@PROJECT_ID.iam.gserviceaccount.com \
       --key-file=gsa-key.json
   

5. Use the gcloud CLI to retrieve the cluster credentials:

   gcloud config set project PROJECT_ID
   gcloud container clusters get-credentials CLUSTER_NAME \
       --location=CONTROL_PLANE_LOCATION
   

Using the gcloud CLI to retrieve cluster credentials is recommended because this method is resilient to cluster events like a control plane IP rotation or credential rotation. However, if you cannot install the gcloud CLI in your environment, you can still create a static kubeconfig file to authenticate to the cluster:

1. Create an IAM service account for your application. If you already have an IAM service account, skip this step.

   The following command creates an IAM service account named ci-cd-pipeline:

   gcloud iam service-accounts create ci-cd-pipeline
   

2. Grant the IAM service account access to your cluster.

   The following command grants the roles/container.developer IAM role to the ci-cd-pipeline@PROJECT_ID.iam.gserviceaccount.com IAM service account:

   gcloud projects add-iam-policy-binding PROJECT_ID \
       --member=serviceAccount:ci-cd-pipeline@PROJECT_ID.iam.gserviceaccount.com \
       --role=roles/container.developer
   

   You can also create a custom IAM role for fine-grained control over the permissions that you grant.

3. Create and download a key for your IAM service account.

   In the following example, the key file is named gsa-key.json:

   gcloud iam service-accounts keys create gsa-key.json \
       --iam-account=ci-cd-pipeline@PROJECT_ID.iam.gserviceaccount.com
   

4. If you're using the DNS-based endpoint for control plane access, get the endpoint value for your cluster:

   gcloud container clusters describe CLUSTER_NAME \
       --location=CONTROL_PLANE_LOCATION \
       --format="value(endpoint)"
   

   If you're using the IP-based endpoint for control plane access, get the endpoint value from the preceding command, and get the clusterCaCertificate value for your cluster:

   gcloud container clusters describe CLUSTER_NAME \
       --location=CONTROL_PLANE_LOCATION \
       --format="value(masterAuth.clusterCaCertificate)"
   

5. Create a kubeconfig.yaml file. Use the following format if you're using the DNS-based endpoint for control plane access:

   apiVersion: v1
   kind: Config
   clusters:
   - name: CLUSTER_NAME
     cluster:
       server: https://endpoint
   users:
   - name: ci-cd-pipeline-gsa
     user:
       exec:
         apiVersion: client.authentication.k8s.io/v1beta1
         args:
         - --use_application_default_credentials
         command: gke-gcloud-auth-plugin
         installHint: Install gke-gcloud-auth-plugin for kubectl by following
           https://cloud.google.com/kubernetes-engine/docs/how-to/cluster-access-for-kubectl#install_plugin
         provideClusterInfo: true
   contexts:
   - context:
       cluster: CLUSTER_NAME
       user: ci-cd-pipeline-gsa
     name: CLUSTER_NAME-ci-cd
   current-context: CLUSTER_NAME-ci-cd
   

   Replace the following:

   • CLUSTER_NAME: the name of your cluster.
   • endpoint: the value you obtained for endpoint from the previous step.

   If you're using IP-based endpoints for control plane access, add the value you obtained for clusterCaCertificate from the preceding step in the cluster parameter of the kubeconfig.yaml file:

   apiVersion: v1
   kind: Config
   clusters:
   - name: CLUSTER_NAME
     cluster:
       server: https://endpoint
       certificate-authority-data: masterAuth.clusterCaCertificate
   users:
   ...
   

   You don't need to decode the base64-encoded certificate.

6. Deploy kubeconfig.yaml and gsa-key.json alongside your application in your environment. At runtime, in the environment running your application, set these environment variables:

   export KUBECONFIG=path/to/kubeconfig.yaml
   export GOOGLE_APPLICATION_CREDENTIALS=path/to/gsa-key.json
   

7. Your application can now send requests to the Kubernetes API and will be authenticated as the IAM service account.

Before OAuth integration with GKE, the pre-provisioned X.509 certificate or a static password were the only available authentication methods, but are no longer recommended and should be disabled. These methods present a wider surface of attack for cluster compromise and are disabled by default on clusters running GKE version 1.12 and later. If you use legacy authentication methods, we recommend that you turn them off.

If enabled, a user with thecontainer.clusters.getCredentials permission can retrieve the client certificate and static password. The roles/container.admin, roles/owner, androles/editor roles all have this permission, so use those roles wisely. Read more about IAM roles in GKE.

A static password is a username and password combination that the API server validates. In GKE, this authentication method is referred to as basic authentication.

To update an existing cluster and remove the static password:

gcloud container clusters update CLUSTER_NAME \
     --location=CONTROL_PLANE_LOCATION \
     --no-enable-basic-auth

With certificate authentication, a client presents a certificate that the API server verifies with the specified certificate authority. In GKE, the cluster root Certificate Authority (CA) signs client certificates.

Client certificate authentication has implications on authorization to the Kubernetes API server. If legacy Attribute Based Access Control (ABAC) authorization is enabled on the cluster, by default, client certificates can authenticate and perform any action on the API server. On the other hand, with Role Based Access Control (RBAC) enabled, client certificates must be granted specific authorization to Kubernetes resources.

To create a cluster without generating a client certificate, use the --no-issue-client-certificate flag:

gcloud container clusters create CLUSTER_NAME \
    --location=CONTROL_PLANE_LOCATION
    --no-issue-client-certificate

Currently, there is no way to remove a client certificate from an existing cluster. To stop using client certificate authentication on an existing cluster, ensure you have RBAC enabled on the cluster, and that the client certificate does not have any authorization on the cluster.

• Learn about Google Cloud Authentication.
• Learn about Access Control in GKE.
• Learn about Google service accounts.
• Learn about Workload Identity Federation for GKE.
• Learn about Hardening your cluster's security

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