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

    TypeScript

    To deploy the Yelb Helm chart on Google Kubernetes Engine (GKE), you need to follow these steps in Pulumi:

    1. Provision a GKE cluster using Pulumi's google-native.container.v1beta1.Cluster resource.
    2. Install the Helm chart onto the GKE cluster using Pulumi's kubernetes.helm.v3.Chart resource.

    Let's go through the process step-by-step to understand what each part of the code is doing.

    Provisioning a GKE Cluster

    Provisioning a GKE cluster involves creating a Kubernetes cluster in Google Cloud Platform. The google-native.container.v1beta1.Cluster resource is used to define and provision the cluster within your GCP project.

    Installing the Helm Chart

    Once the cluster is up and running, you can deploy the Helm chart to it. Pulumi provides the kubernetes.helm.v3.Chart resource as part of the Kubernetes provider to deploy Helm charts to a Kubernetes cluster.

    First, you'll need to set up your Pulumi program. Make sure you've installed the Pulumi CLI and logged in, and that you have the necessary cloud provider CLI tools installed (in this case, gcloud for Google Cloud).

    Now, let's look at the complete Pulumi TypeScript program that accomplishes these tasks.

    import * as gcp from "@pulumi/gcp";
import * as kubernetes from "@pulumi/kubernetes";
import * as pulumi from "@pulumi/pulumi";

// Create a GKE cluster
const cluster = new gcp.container.Cluster("my-gke-cluster", {
    // Specify the location to deploy the cluster
    location: "us-west1-a",
    // Define the initial node count for the default node pool
    initialNodeCount: 2,
    // Define the machine type to use for the cluster nodes
    nodeConfig: {
        machineType: "n1-standard-1",
    },
});

// Expose the Kubeconfig for the GKE cluster
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
`;
});

// Create a Kubernetes provider using the GKE cluster's kubeconfig
const k8sProvider = new kubernetes.Provider("gke-k8s", {
    kubeconfig: kubeconfig,
});

// Deploy the Yelb Helm chart using the Kubernetes provider
const yelbChart = new kubernetes.helm.v3.Chart("yelb", {
    chart: "yelb",
    // Helm repository details can be provided here if needed
    // fetchOpts: {
    //     repo: "http://example.com/charts",
    // },
}, { provider: k8sProvider });

// Export the GKE cluster name and Yelb service details
export const clusterName = cluster.name;
export const yelbService = yelbChart.getResource("v1/Service", "yelb-ui");

    Explanation

    • We define a GKE cluster with some basic configurations, specifying the number of nodes and machine type for the nodes.
    • We generate a kubeconfig file that would allow us to interact with our GKE cluster using kubectl. This kubeconfig is extracted from the cluster properties and adjusted for use with the Pulumi GCP plugin.
    • With the kubeconfig, we create a Pulumi Kubernetes provider that will drive the communication with the GKE cluster.
    • Using the Kubernetes provider, we deploy the Yelb Helm chart to our GKE cluster. Note that in this code, I've commented out the fetchOpts section, which you would use if your Helm chart is located in a custom Helm repository. You can uncomment and update that section with the appropriate chart details.

    After deploying the program with pulumi up, you'll have a running instance of the Yelb application on GKE. The output of the pulumi up command will include the clusterName and service endpoint details for Yelb, which you can use to access the application.


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