A RetroSearch Logo

Home - News ( United States | United Kingdom | Italy | Germany ) - Football scores

Search Query:

Showing content from http://cloud.google.com/kubernetes-engine/docs/tutorials/workload-identity-secrets below:

Access secrets stored outside GKE clusters using client libraries | Kubernetes Engine

Skip to main content Access secrets stored outside GKE clusters using client libraries

Stay organized with collections Save and categorize content based on your preferences.

This tutorial shows you how to store the sensitive data that's used by your Google Kubernetes Engine (GKE) clusters in Secret Manager. You learn how to more securely access the data from your Pods by using Workload Identity Federation for GKE and the Google Cloud client libraries.

Storing your sensitive data outside your cluster storage reduces the risk of unauthorized access to the data if an attack occurs. Using Workload Identity Federation for GKE to access the data lets you avoid the risks associated with managing long-lived service account keys, and lets you control access to your secrets using Identity and Access Management (IAM) instead of in-cluster RBAC rules. You can use any external secret store provider, such as Secret Manager or HashiCorp Vault.

This page is for Security specialists who want to move sensitive data out of in-cluster storage. To learn more about common roles and example tasks that we reference in Google Cloud content, see Common GKE user roles and tasks.

This tutorial uses a GKE Autopilot cluster. To perform the steps using GKE Standard, you must enable Workload Identity Federation for GKE manually.

You can use Workload Identity Federation for GKE to access any Google Cloud APIs from GKE workloads without having to use less secure approaches like static service account key files. This tutorial uses Secret Manager as an example, but you can use the same steps to access other Google Cloud APIs. To learn more, see Workload Identity Federation for GKE.

Objectives Costs

In this document, you use the following billable components of Google Cloud:

To generate a cost estimate based on your projected usage, use the pricing calculator.

New Google Cloud users might be eligible for a

free trial

.

When you finish the tasks that are described in this document, you can avoid continued billing by deleting the resources that you created. For more information, see Clean up.

Before you begin
  1. Sign in to your Google Cloud account. If you're new to Google Cloud, create an account to evaluate how our products perform in real-world scenarios. New customers also get $300 in free credits to run, test, and deploy workloads.
  2. Install the Google Cloud CLI.

  3. If you're using an external identity provider (IdP), you must first sign in to the gcloud CLI with your federated identity.

  4. To initialize the gcloud CLI, run the following command:

    gcloud init
  5. Create or select a Google Cloud project.

    Note: If you don't plan to keep the resources that you create in this procedure, create a project instead of selecting an existing project. After you finish these steps, you can delete the project, removing all resources associated with the project.
  6. Verify that billing is enabled for your Google Cloud project.

  7. Enable the Kubernetes Engine and Secret Manager APIs:

    gcloud services enable container.googleapis.com secretmanager.googleapis.com
  8. Install the Google Cloud CLI.

  9. If you're using an external identity provider (IdP), you must first sign in to the gcloud CLI with your federated identity.

  10. To initialize the gcloud CLI, run the following command:

    gcloud init
  11. Create or select a Google Cloud project.

    Note: If you don't plan to keep the resources that you create in this procedure, create a project instead of selecting an existing project. After you finish these steps, you can delete the project, removing all resources associated with the project.
  12. Verify that billing is enabled for your Google Cloud project.

  13. Enable the Kubernetes Engine and Secret Manager APIs:

    gcloud services enable container.googleapis.com secretmanager.googleapis.com
  14. Grant roles to your user account. Run the following command once for each of the following IAM roles: roles/secretmanager.admin, roles/container.clusterAdmin

    gcloud projects add-iam-policy-binding PROJECT_ID --member="user:USER_IDENTIFIER" --role=ROLE

    Replace the following:

Prepare the environment

Clone the GitHub repository that contains the sample files for this tutorial:

git clone https://github.com/GoogleCloudPlatform/kubernetes-engine-samples
cd ~/kubernetes-engine-samples/security/wi-secrets
Create a secret in Secret Manager
  1. The following example shows the data you'll use to create a secret:

  2. Create a secret to store the sample data:

    gcloud secrets create bq-readonly-key \
        --data-file=manifests/bq-readonly-key \
        --ttl=3600s
    

    This command does the following:

Create the cluster and Kubernetes resources

Create a GKE cluster, Kubernetes namespaces, and Kubernetes service accounts. You create two namespaces, one for read-only access and one for read-write access to the secret. You also create a Kubernetes service account in each namespace to use with Workload Identity Federation for GKE.

  1. Create a GKE Autopilot cluster:

    gcloud container clusters create-auto secret-cluster \
        --location=us-central1
    

    The cluster might take about five minutes to deploy. Autopilot clusters always have Workload Identity Federation for GKE enabled. If you want to use a GKE Standard cluster instead, you must manually enable Workload Identity Federation for GKE before you continue.

  2. Create a readonly-ns namespace and an admin-ns namespace:

    kubectl create namespace readonly-ns
    kubectl create namespace admin-ns
    
  3. Create a readonly-sa Kubernetes service account and an admin-sa Kubernetes service account:

    kubectl create serviceaccount readonly-sa --namespace=readonly-ns
    kubectl create serviceaccount admin-sa --namespace=admin-ns
    
Create IAM allow policies
  1. Grant the readonly-sa service account read-only access to the secret:

    gcloud secrets add-iam-policy-binding bq-readonly-key \
        --member=principal://iam.googleapis.com/projects/PROJECT_NUMBER/locations/global/workloadIdentityPools/PROJECT_ID.svc.id.goog/subject/ns/readonly-ns/sa/readonly-sa \
        --role='roles/secretmanager.secretAccessor' \
        --condition=None
    

    Replace the following:

  2. Grant the admin-sa service account read-write access to the secret:

    gcloud secrets add-iam-policy-binding bq-readonly-key \
        --member=principal://iam.googleapis.com/projects/PROJECT_NUMBER/locations/global/workloadIdentityPools/PROJECT_ID.svc.id.goog/subject/ns/admin-ns/sa/admin-sa \
        --role='roles/secretmanager.secretAccessor' \
        --condition=None
    gcloud secrets add-iam-policy-binding bq-readonly-key \
        --member=principal://iam.googleapis.com/projects/PROJECT_NUMBER/locations/global/workloadIdentityPools/PROJECT_ID.svc.id.goog/subject/ns/admin-ns/sa/admin-sa \
        --role='roles/secretmanager.secretVersionAdder' \
        --condition=None
    
Verify secret access

Deploy test Pods in each namespace to verify the read-only and read-write access.

  1. Review the read-only Pod manifest:

    This Pod uses the readonly-sa service account in the readonly-ns namespace.

  2. Review the read-write Pod manifest:

    This Pod uses the admin-sa service account in the admin-ns namespace.

  3. Deploy the test Pods:

    kubectl apply -f manifests/admin-pod.yaml
    kubectl apply -f manifests/readonly-pod.yaml
    

    The Pods might take a few minutes to start running. To monitor progress, run the following command:

    watch kubectl get pods -n readonly-ns
    

    When the Pod status changes to RUNNING, press Ctrl+C to return to the command-line.

Test read-only access
  1. Open a shell in the readonly-test Pod:

    kubectl exec -it readonly-test --namespace=readonly-ns -- /bin/bash
    
  2. Try to read the secret:

    gcloud secrets versions access 1 --secret=bq-readonly-key
    

    The output is key=my-api-key.

  3. Try to write new data to the secret:

    printf "my-second-api-key" | gcloud secrets versions add bq-readonly-key --data-file=-
    

    The output is similar to the following:

    ERROR: (gcloud.secrets.versions.add) PERMISSION_DENIED: Permission 'secretmanager.versions.add' denied for resource 'projects/PROJECT_ID/secrets/bq-readonly-key' (or it may not exist).
    

    The Pod using the read-only service account can only read the secret, and can't write new data.

  4. Exit the Pod:

    exit
    
Test read-write access
  1. Open a shell in the admin-test Pod:

    kubectl exec -it admin-test --namespace=admin-ns -- /bin/bash
    
  2. Try to read the secret:

    gcloud secrets versions access 1 --secret=bq-readonly-key
    

    The output is key=my-api-key.

  3. Try to write new data to the secret:

    printf "my-second-api-key" | gcloud secrets versions add bq-readonly-key --data-file=-
    

    The output is similar to the following:

    Created version [2] of the secret [bq-readonly-key].
    
  4. Read the new secret version:

    gcloud secrets versions access 2 --secret=bq-readonly-key
    

    The output is my-second-api-key.

  5. Exit the Pod:

    exit
    

The Pods only get the level of access you granted to the Kubernetes service account used in the Pod manifest. Any Pods that use the admin-sa Kubernetes account in the admin-ns namespace can write new versions of the secret, but any Pods in the readonly-ns namespace that use the readonly-sa Kubernetes service account can only read the secret.

Access secrets from your code

In this section, you do the following:

  1. Deploy a sample application that reads your secret in Secret Manager using client libraries.

  2. Check that the application can access your secret.

You should access Secret Manager secrets from your application code whenever possible, using the Secret Manager API.

  1. Review the sample application source code:

    This application calls the Secret Manager API to try and read the secret.

  2. Review the sample application Pod manifest:

    This manifest does the following:

  3. Replace environment variables in the sample application:

    sed -i "s/YOUR_PROJECT_ID/PROJECT_ID/g" "manifests/secret-app.yaml"
    
  4. Deploy the sample app:

    kubectl apply -f manifests/secret-app.yaml
    

    The Pod might take a few minutes to start working. If the Pod needs a new node in your cluster, you might notice CrashLoopBackOff type events while GKE provisions the node. The crashes stop when the node provisions successfully.

  5. Verify the secret access:

    kubectl logs readonly-secret-test -n readonly-ns
    

    The output is my-second-api-key. If the output is blank, the Pod might not be running yet. Wait a few minutes and try again.

Alternative approaches

If you need to mount your sensitive data to your Pods, use the Secret Manager add-on for GKE. This add-on deploys and manages the Google Cloud Secret Manager provider for the Kubernetes Secret Store CSI driver in your GKE clusters. For instructions, see Use Secret Manager add-on with GKE.

Providing secrets as mounted volumes has the following risks:

  1. Mounted volumes are susceptible to directory traversal attacks.
  2. Environment variables can be compromised due to misconfigurations such as opening a debug endpoint.

Whenever possible, we recommend that you programmatically access secrets through the Secret Manager API. For instructions, use the sample application in this tutorial or refer to Secret Manager client libraries.

Clean up

To avoid incurring charges to your Google Cloud account for the resources used in this tutorial, either delete the project that contains the resources, or keep the project and delete the individual resources.

Delete individual resources
  1. Delete the cluster:

    gcloud container clusters delete secret-cluster \
        --location=us-central1
    
  2. Optional: Delete the secret in Secret Manager:

    gcloud secrets delete bq-readonly-key
    

    If you don't do this step, the secret automatically expires because you set the --ttl flag during creation.

Delete the project
    Caution: Deleting a project has the following effects:

    If you plan to explore multiple architectures, tutorials, or quickstarts, reusing projects can help you avoid exceeding project quota limits.

    Delete a Google Cloud project:

    gcloud projects delete PROJECT_ID
What's next

Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates.

Last updated 2025-08-12 UTC.

[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-08-12 UTC."],[],[]]


RetroSearch is an open source project built by @garambo | Open a GitHub Issue

Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo

HTML: 3.2 | Encoding: UTF-8 | Version: 0.7.4