1. Deploy the harbor-operator helm chart on Google Kubernetes Engine (GKE)


    To deploy the harbor-operator Helm chart on Google Kubernetes Engine (GKE), you first need to create a GKE cluster. Pulumi provides an easy way to create and manage a GKE cluster using the google-native.container/v1beta1.Cluster resource. After the cluster is set up, you can deploy a Helm chart using the kubernetes.helm.v3.Chart resource.

    Here is a step-by-step explanation and a corresponding TypeScript program to accomplish this task:

    1. Create a GKE Cluster: We'll use the google-native.container/v1beta1.Cluster resource to create a GKE cluster. You can customize the cluster configuration as needed, but for the sake of simplicity, I'll show you a basic setup.

    2. Provider Configuration: For deploying Helm charts, we need to configure a Kubernetes provider that will communicate with the GKE cluster. Pulumi allows us to do this by passing the cluster's kubeconfig to the Kubernetes provider.

    3. Deploy Harbor Operator Helm Chart: Once the GKE cluster is ready and the Kubernetes provider is configured, we'll use the kubernetes.helm.v3.Chart resource from the Pulumi Kubernetes provider to deploy the Harbor Operator Helm chart.

    Below is the TypeScript program that performs these steps:

    import * as pulumi from "@pulumi/pulumi"; import * as gcp from "@pulumi/gcp"; import * as gcpNative from "@pulumi/google-native"; import * as k8s from "@pulumi/kubernetes"; // Step 1: Creating a GKE cluster. const cluster = new gcpNative.container.v1beta1.Cluster("harbor-cluster", { project: gcp.config.project, location: gcp.config.region, initialNodeCount: 1, nodeConfig: { machineType: "e2-medium", // You can choose the machine type based on your requirements }, }); // Export the Kubeconfig for the GKE cluster export const kubeconfig = cluster.name.apply(name => { const context = `${gcp.config.project}_${gcp.config.zone}_${name}`; return `apiVersion: v1 clusters: - cluster: certificate-authority-data: ${cluster.masterAuth.apply(ma => ma.clusterCaCertificate)} server: https://${cluster.endpoint} name: ${context} contexts: - context: cluster: ${context} user: ${context} name: ${context} current-context: ${context} kind: Config preferences: {} users: - name: ${context} user: auth-provider: config: cmd-args: config config-helper --format=json cmd-path: gcloud expiry-key: '{.credential.token_expiry}' token-key: '{.credential.access_token}' `; }); // Step 2: Configure the Kubernetes provider to the GKE cluster const k8sProvider = new k8s.Provider("gke-k8s", { kubeconfig: kubeconfig, }); // Step 3: Deploy the Harbor Operator Helm chart using the Kubernetes provider const harborOperatorChart = new k8s.helm.v3.Chart("harbor-operator", { chart: "harbor-operator", version: "1.2.3", // Specify the version of harbor-operator you wish to deploy; check the chart repo for the latest version fetchOpts: { repo: "https://helm.goharbor.io", // Harbor Helm chart repository }, }, { provider: k8sProvider }); // Export the Harbor Operator Helm chart deployment status export const harborOperatorStatus = harborOperatorChart.status;


    • Cluster Creation: We define a basic GKE cluster with one node. initialNodeCount is set to 1 and the node machine type is e2-medium. You can adjust these values depending on your workload and requirements.

    • Export Kubeconfig: The kubeconfig is calculated and exported so that the Kubernetes provider can use it to deploy resources to the cluster.

    • Kubernetes Provider Configuration: We instantiate the Kubernetes provider using the exported kubeconfig. This provider is responsible for deploying and managing Kubernetes resources on the GKE cluster.

    • Harbor Operator Helm Chart Deployment: We declare a Helm chart resource representing the Harbor Operator. The repo option specifies the location of the Harbor Helm chart repository.

    This program will create a GKE cluster and deploy the specified version of the Harbor Operator Helm chart to it. The exported values can be used to interact with the cluster and the deployed application.