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


    To deploy the Jambonz Helm chart on Google Kubernetes Engine (GKE), we'll go through several steps which I'll guide you through. First, we'll need to set up a GKE cluster; then, we'll install the Helm chart into that cluster.

    Here's what we'll be using from Pulumi to accomplish this:

    • google-native.container.v1beta1.Cluster: This Pulumi resource allows us to create and manage a GKE cluster. We'll use this to set up our Kubernetes cluster.

    • kubernetes.helm.sh/v3.Release: After the GKE cluster is up and running, we'll use this Pulumi Helm resource to deploy the Jambonz Helm chart.

    Before you begin, make sure you have the following prerequisites:

    • An account on Google Cloud Platform (GCP) with billing set up.
    • The gcloud CLI tool is installed and configured with credentials for GCP.
    • Pulumi CLI installed; if you haven't, download it from the Pulumi website.
    • kubectl installed for interacting with the Kubernetes cluster.
    • You know the name and version of the Jambonz Helm chart you wish to deploy.

    Firstly, let's lay out a basic structure for the GKE cluster using TypeScript in Pulumi:

    import * as pulumi from "@pulumi/pulumi"; import * as gcp from "@pulumi/gcp"; import * as k8s from "@pulumi/kubernetes"; import * as gcpNative from "@pulumi/gcp-native"; // Create a GKE cluster const cluster = new gcpNative.container.v1beta1.Cluster("jambonz-cluster", { project: gcp.config.project, // Assumes your GCP project is set in the Pulumi config location: "us-central1", // You can use a different region initialNodeCount: 3, // Choose the initial size of your cluster nodeConfig: { machineType: "n1-standard-1", // Choose a machine type according to your needs 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 Kubeconfig 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 `; });

    This code sets up a GKE cluster. Note that we are using Pulumi's native GCP provider (@pulumi/gcp-native) to create a cluster with n1-standard-1 machine types for nodes in the us-central1 region.

    Once the cluster is created, we're also exporting a kubeconfig file which you will use to interact with the K8s cluster via kubectl. Remember you'll need to securely manage this kubeconfig since it provides administrator access to your Kubernetes cluster.

    Next, we need to install the Jambonz Helm chart into this cluster. Place this code after the cluster definition:

    // Import the Kubeconfig we just created const k8sProvider = new k8s.Provider("k8s-provider", { kubeconfig: kubeconfig, }); // Install the Jambonz Helm chart const jambonzHelmRelease = new k8s.helm.v3.Release("jambonz", { chart: "jambonz", // Replace with the correct chart name version: "1.0.0", // Replace with the correct version // Add any custom values file or configuration that the Helm chart requires // values: { ... }, }, { provider: k8sProvider }); // Export the Helm release status export const helmReleaseStatus = jambonzHelmRelease.status;

    In the jambonz Helm release, replace chart and version with the correct values for the Jambonz Helm chart you intend to deploy. If necessary, configure additional properties according to the values accepted by that Helm chart.

    To execute your Pulumi program:

    1. Save the code in a file (e.g., index.ts).
    2. Run pulumi up from the command line in the same directory where your file is located. Pulumi will provision the resources as described.

    The pulumi up command will show you a preview of the resources that will be created. Once you confirm, Pulumi will start provisioning the GKE cluster and then deploy the Jambonz Helm chart on it.

    If you need to make any changes to the cluster or the Helm release, simply modify the code accordingly and run pulumi up again. Pulumi will detect the changes and apply them.

    Remember, the functions of Pulumi, such as creating a cluster and deploying applications with Helm, are powerful. Always double-check your configurations and ensure you manage access credentials securely, especially the exported kubeconfig.