1. Deploy the jx-app-grafana helm chart on Google Kubernetes Engine (GKE)


    To deploy the jx-app-grafana Helm chart on Google Kubernetes Engine (GKE) using Pulumi, you'd need to follow these general steps:

    1. Set up a GKE cluster: You need a Kubernetes cluster to work with. For that, you will use the google-native.container/v1beta1.Cluster resource to create a new GKE cluster. This will provide a Kubernetes cluster where the Helm chart can be deployed.

    2. Install the Helm chart: After setting up the GKE cluster, you would then deploy the jx-app-grafana Helm chart to your cluster. For this, you will utilize the kubernetes.helm.v3.Chart resource from the Pulumi Kubernetes provider, which allows you to deploy Helm charts.

    Below you'll find a Pulumi program written in TypeScript that creates a GKE cluster and installs the jx-app-grafana Helm chart on this cluster. The program includes comments that explain what each section of the code does.

    Before running the Pulumi program, make sure you have completed the following prerequisites:

    • Install Pulumi CLI and set up your GCP credentials.
    • Have the @pulumi/google-native and @pulumi/kubernetes packages installed in your project. You can install them using npm or yarn.

    Now let's go through the code implementation:

    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: Create a GKE cluster for deploying the Helm chart. const cluster = new gcpNative.container.v1beta1.Cluster("gke-cluster", { // Replace the following parameters with your desired settings. // The name of the GKE cluster name: "grafana-cluster", // The GCP project in which to create the cluster project: gcp.config.project, // The location of the cluster location: "us-central1", // Cluster configuration initialNodeCount: 1, nodeConfig: { machineType: "e2-medium", // Use a machine type appropriate for your workload }, }); // Export the cluster name and kubeconfig. export const clusterName = cluster.name; // Step 2: Create a provider for the created GKE cluster. const k8sProvider = new k8s.Provider("gkeK8s", { kubeconfig: cluster.name.apply(name => { return gcp.container.getCluster({ name: name, location: "us-central1", }).then(cluster => { const kubeconfig = { apiVersion: "v1", clusters: [{ cluster: { "certificate-authority-data": cluster.masterAuth.clusterCaCertificate, server: cluster.endpoint, }, name: "k8s", }], contexts: [{ context: { cluster: "k8s", user: "admin", }, name: "admin@k8s", }], "current-context": "admin@k8s", kind: "Config", users: [{ name: "admin", user: { "client-certificate-data": cluster.masterAuth.clientCertificate, "client-key-data": cluster.masterAuth.clientKey, "password": cluster.masterAuth.password, username: cluster.masterAuth.username, }, }], }; return JSON.stringify(kubeconfig); }); }), }); // Step 3: Install the `jx-app-grafana` Helm chart on the GKE cluster. const grafanaChart = new k8s.helm.v3.Chart("jx-app-grafana", { chart: "grafana", fetchOpts: { // You will likely need to update the repo URL to the location where the chart is stored. repo: "https://grafana.github.io/helm-charts", }, // Any custom values you want to pass values: { // Provide custom Grafana configuration here }, }, { provider: k8sProvider }); // Export the Grafana service URL export const grafanaServiceUrl = grafanaChart.getResourceProperty("v1/Service", "grafana", "status").apply(status => { const ingress = status.loadBalancer.ingress[0]; return ingress.ip || ingress.hostname; });

    In this program:

    • We create a GKE cluster by instantiating gcpNative.container.v1beta1.Cluster. The essential properties like location and node configuration are specified.

    • We export the cluster name and generate a kubeconfig file once the cluster is available. This kubeconfig is required to interact with the cluster using Kubernetes commands.

    • After the cluster setup, a Pulumi Kubernetes provider is instantiated. This provider is configured to use the kubeconfig of the created GKE cluster.

    • Using the k8s.helm.v3.Chart resource, we deploy the grafana Helm chart. Notice that we pass the k8sProvider which points to our GKE cluster.

    • The repo property is where the Helm chart is located. Replace it with the appropriate Helm repository if you have a different source for the jx-app-grafana chart.

    • Lastly, we export the Grafana service URL that can be used to access the Grafana dashboard once it's deployed and publicly accessible.

    Run the Pulumi program with pulumi up to provision the resources, and after successful deployment, Pulumi will output the Grafana service URL.