Write Code to Enable Workload Identity on a GKE Cluster
Introduction
In this solution, we will enable Workload Identity on a Google Kubernetes Engine (GKE) cluster using Pulumi. Workload Identity allows Kubernetes workloads to authenticate as a Google service account, providing a secure and manageable way to access Google Cloud services. The key services involved in this solution are Google Kubernetes Engine (GKE) and Google Identity and Access Management (IAM).
Step-by-Step Explanation
Step 1: Create a GKE Cluster
We will start by creating a GKE cluster. This involves specifying the cluster’s name, location, and other configurations.
Step 2: Enable Workload Identity on the GKE Cluster
Next, we will enable Workload Identity on the GKE cluster by setting the workloadIdentityConfig
property.
Step 3: Create a Google Service Account
We will create a Google service account that the Kubernetes workloads will use to authenticate.
Step 4: Bind the Kubernetes Service Account to the Google Service Account
Finally, we will bind the Kubernetes service account to the Google service account, allowing the Kubernetes workloads to authenticate as the Google service account.
Key Points
- Workload Identity provides a secure way for Kubernetes workloads to access Google Cloud services.
- The solution involves creating a GKE cluster, enabling Workload Identity, creating a Google service account, and binding the Kubernetes service account to the Google service account.
- Pulumi makes it easy to manage and automate the provisioning of cloud resources using code.
Conclusion
In this solution, we demonstrated how to enable Workload Identity on a GKE cluster using Pulumi. By following the steps outlined, you can securely manage access to Google Cloud services for your Kubernetes workloads. Pulumi’s infrastructure as code approach simplifies the process and ensures that your infrastructure is versioned and reproducible.
Full Code Example
import * as pulumi from "@pulumi/pulumi";
import * as gcp from "@pulumi/gcp";
import * as k8s from "@pulumi/kubernetes";
// Create a GKE cluster
const gkeCluster = new gcp.container.Cluster("gke-cluster", {
initialNodeCount: 1,
location: "us-central1",
workloadIdentityConfig: {
workloadPool: "my-project.svc.id.goog"
}
});
// Create a Google service account
const googleServiceAccount = new gcp.serviceaccount.Account("google-service-account", {
accountId: "my-service-account",
displayName: "My Service Account"
});
// Create a Kubernetes service account
const k8sServiceAccount = new k8s.core.v1.ServiceAccount("k8s-service-account", {
metadata: {
namespace: "default",
annotations: {
"iam.gke.io/gcp-service-account": googleServiceAccount.email
}
}
});
export const gkeClusterName = gkeCluster.name;
export const gkeClusterEndpoint = gkeCluster.endpoint;
export const gkeClusterSelfLink = gkeCluster.selfLink;
export const googleServiceAccountEmail = googleServiceAccount.email;
export const k8sServiceAccountName = k8sServiceAccount.metadata.name;
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