1. Deploy the barbican helm chart on Google Kubernetes Engine (GKE)


    Deploying the barbican Helm chart on Google Kubernetes Engine (GKE) using Pulumi involves several steps. Before you begin, ensure you have access to a GCP account with permissions to create and manage GKE clusters and Helm charts deployments. You'll also need Pulumi installed and configured to use your GCP credentials.

    Steps to Deploy barbican Helm Chart on GKE:

    1. Set up a GKE cluster: Creating a GKE cluster is the first step. You need a Kubernetes cluster to deploy your Helm chart.
    2. Install Helm: Helm is a package manager for Kubernetes that simplifies deployment.
    3. Deploy the barbican Helm Chart: Once Helm is set up, you can deploy the barbican Helm chart to your GKE cluster.

    Pulumi Program to Deploy barbican Helm Chart on GKE:

    Below is a Pulumi program written in TypeScript that performs the above steps. Comments within the code explain what each section does.

    import * as gcp from "@pulumi/gcp"; import * as k8s from "@pulumi/kubernetes"; import * as pulumi from "@pulumi/pulumi"; // Create a GKE cluster const cluster = new gcp.container.Cluster("barbican-cluster", { // Specify your desired settings for the cluster, here are some examples initialNodeCount: 2, minMasterVersion: "latest", // Use the latest GKE version available nodeVersion: "latest", nodeConfig: { machineType: "n1-standard-1", // Choose the appropriate machine type for your use case 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" ], }, }); // Export the Cluster name export const clusterName = cluster.name; // Initializing the Kubernetes provider using the credentials from the created cluster. const k8sProvider = new k8s.Provider("k8s-provider", { kubeconfig: cluster.kubeConfigRaw, }); // Deploy the barbican Helm chart into the GKE cluster const barbicanChart = new k8s.helm.v3.Chart("barbican-chart", { // Replace 'chart-name' and 'chart-version' with actual chart details chart: "barbican", version: "x.y.z", // specify the version of the chart // You can specify the helm repository as an option if the chart is not packaged locally fetchOpts: { repo: "https://charts.example.com/", // placeholder for actual Helm chart repository }, }, { provider: k8sProvider }); // Export the Helm chart deployment status export const barbicanChartStatus = barbicanChart.status;


    • We import the necessary Pulumi libraries for working with GCP and Kubernetes.

    • We create a GKE cluster resource with the desired settings using gcp.container.Cluster.

    • The kubeconfig generated by Pulumi for the new GKE cluster is used to initialize a Kubernetes provider.

    • We use Pulumi's Kubernetes library to deploy the Helm chart. Here, you'll need to replace "barbican", "x.y.z", and the Helm repository URL with the actual chart name, version, and repository URL for Barbican.

    • Finally, we export the GKE cluster name and the status of the Helm chart deployment which can be accessed from the Pulumi CLI after deployment.

    Please replace placeholders like x.y.z and the repo URL with the actual values specific to the barbican Helm chart you want to deploy.

    To run the Pulumi program, save it to a index.ts file in a new Pulumi project directory, and then use the following commands:

    # Login to Pulumi - this will store your state remotely in the default Pulumi Service backend. pulumi login # Initialize a new Pulumi stack, which is an isolated environment for your app pulumi stack init dev # Install the necessary packages from NPM for your Pulumi program npm install @pulumi/gcp @pulumi/kubernetes @pulumi/pulumi # Review the plan to see the infrastructure Pulumi will create pulumi preview # Deploy the infrastructure to GCP pulumi up

    This Pulumi program will stand up a new GKE cluster, configure kubectl, install Helm into the GKE cluster, and deploy the barbican Helm chart. After running pulumi up, you should be able to use kubectl to interact with your GKE cluster and see your Helm-deployed services running.