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


    In order to deploy a Helm chart to Google Kubernetes Engine (GKE), you will first need to set up a GKE cluster where the Helm chart can be deployed. After the cluster has been created and is running, you can then proceed with the deployment of your Helm chart using Pulumi's Kubernetes provider.

    Below is a Pulumi program written in TypeScript that performs these steps:

    1. Creates a GKE cluster.
    2. Deploys a Helm chart (assuming tsaas is the name of the chart) to the GKE cluster.

    The Pulumi program uses the @pulumi/gcp and @pulumi/kubernetes packages to interact with GCP and Kubernetes respectively. Make sure you have installed these packages via npm before running the program:

    npm install @pulumi/gcp @pulumi/kubernetes

    Here's the complete Pulumi program to deploy the tsaas Helm chart on GKE:

    import * as pulumi from "@pulumi/pulumi"; import * as gcp from "@pulumi/gcp"; import * as k8s from "@pulumi/kubernetes"; // Step 1: Create a Google Kubernetes Engine cluster const cluster = new gcp.container.Cluster("tsaas-cluster", { initialNodeCount: 2, // Specify the number of nodes in the node pool minMasterVersion: "latest", // Use the latest version of Kubernetes for the master nodeConfig: { machineType: "n1-standard-1", // Specify the machine type for the nodes oauthScopes: [ // Define the set of Google API scopes for the node service accounts "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 and kubeconfig export const clusterName = cluster.name; export const kubeconfig = pulumi. all([cluster.name, cluster.endpoint, cluster.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 2: Deploy the tsaas Helm chart const tsaasChart = new k8s.helm.v3.Chart("tsaas", { chart: "tsaas", // The name of the chart in the repository version: "1.0.0", // The version of the chart to deploy // Override default configuration values here if necessary values: { // ... Specify any specific configuration values for the tsaas Helm chart }, }, { provider: new k8s.Provider("k8s-provider", { kubeconfig: kubeconfig }) }); // Export the Helm chart deployment status export const tsaasDeploymentStatus = tsaasChart.status;


    • We create a GKE cluster called tsaas-cluster, with a node pool that initially contains 2 nodes.
    • We use the minMasterVersion: "latest" to ensure the master node is using the latest available version of Kubernetes supported by GKE.
    • The nodeConfig section defines the configuration of the nodes. Here we specify the machine type and the OAuth scopes that the node service account will have.
    • In the kubeconfig section, we construct a kubeconfig file that enables us to interact with the GKE cluster.
    • Using tsaasChart, we deploy the tsaas Helm chart to the GKE cluster we created. The version: "1.0.0" specifies the version of the chart we want to deploy. If the Helm chart requires specific configuration values, they can be provided in the values section.
    • The provider option specifies the Kubernetes Provider to use, which is constructed with the kubeconfig we created for the cluster.
    • We export the clusterName and kubeconfig so that they can be easily accessed, for instance to connect via kubectl or for other purposes.
    • The tsaasDeploymentStatus export gives us the deployment status of the Helm chart in our GKE cluster.

    Note: Before running this program, ensure that you have authenticated with GCP and set up Pulumi with the correct credentials. Additionally, you need to have Helm and kubectl installed on your local machine if you wish to interact with the Kubernetes cluster and Helm charts directly. The actual Helm chart tsaas needs to be available in a Helm repository; if it's a custom chart, you'll need to add the repository using Helm commands or define it directly in the Pulumi program.