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


    Deploying a Helm chart like ibm-aspera-operator on Google Kubernetes Engine (GKE) involves several steps. I'll walk you through these steps and provide you with a Pulumi program that you can use to accomplish this goal.

    Steps to Deploy the ibm-aspera-operator Helm Chart on GKE

    1. Set Up GKE Cluster: First, you need to have a GKE cluster running. We will create a GKE cluster using Pulumi's google-native.container/v1.Cluster resource.
    2. Set Up Kubeconfig: Once the GKE cluster is provisioned, you need to obtain the kubeconfig file, which allows you to interact with your cluster using kubectl.
    3. Install the Helm Chart: Finally, using the Helm provider in Pulumi, you can deploy the ibm-aspera-operator chart to your cluster.

    Here's how you can define these steps in a Pulumi program using TypeScript:

    import * as pulumi from "@pulumi/pulumi"; import * as gcp from "@pulumi/gcp"; import * as k8s from "@pulumi/kubernetes"; // Step 1: Create a GKE cluster const gkeCluster = new gcp.container.Cluster("gke-cluster", { initialNodeCount: 2, minMasterVersion: "latest", // use an appropriate GKE version nodeVersion: "latest", nodeConfig: { machineType: "e2-medium", // choose an appropriate machine type oauthScopes: [ "https://www.googleapis.com/auth/compute", "https://www.googleapis.com/auth/devstorage.read_only", "https://www.googleapis.com/auth/logging.write", "https://www.googleapis.com/auth/monitoring", ], }, }); // Step 2: Obtain the kubeconfig for the created GKE cluster const kubeconfig = pulumi. all([gkeCluster.name, gkeCluster.endpoint, gkeCluster.masterAuth]). apply(([name, endpoint, masterAuth]) => { const context = `${gcp.config.project}_${gcp.config.zone}_${name}`; return `apiVersion: v1 clusters: - cluster: certificate-authority-data: ${masterAuth.clusterCaCertificate} server: https://${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}' name: gcp `; }); // Step 3: Use the Helm provider to deploy the ibm-aspera-operator chart const asperaChart = new k8s.helm.v3.Chart("ibm-aspera-operator", { chart: "ibm-aspera-operator", version: "x.y.z", // specify the chart version fetchOpts: { repo: "https://charts.your-repository.com", // specify the Helm repository URL }, }, { provider: new k8s.Provider("provider", {kubeconfig}), }); // Export the cluster's name and kubeconfig export const clusterName = gkeCluster.name; export const clusterKubeconfig = kubeconfig;


    • GKE Cluster: The gcp.container.Cluster resource block will create a new GKE cluster with the given configuration. Replace the placeholders with the actual values that suit your requirements.
    • Kubeconfig: The kubeconfig is a multi-step construction that combines the cluster name, endpoint, and masterAuth to create a kubeconfig string. This kubeconfig is required to authenticate to the Kubernetes cluster.
    • Helm Chart: The k8s.helm.v3.Chart resource block will install the ibm-aspera-operator Helm chart onto your GKE cluster. Replace the version with the version you want to install, and set the repo to the Helm repository that hosts ibm-aspera-operator.

    Deploying the Program:

    To deploy this program, save it in a file (e.g., index.ts), then run pulumi up in your terminal within the directory containing the file. Pulumi will perform the deployment steps as defined in the program. If this is the first deployment, it will prompt you to create a new stack, which represents an isolated deployment target for your infrastructure.


    After the deployment, you can use the exported kubeconfig to interact with your cluster using kubectl or any Kubernetes-compatible tool. The Helm chart installation will be managed by Pulumi, making it easy to update or delete in the future directly through Pulumi's infrastructure as code approach.