1. Deploy the remote-network-agent helm chart on Google Kubernetes Engine (GKE)


    To deploy the remote-network-agent Helm chart on GKE using Pulumi, we will break down the process into several steps:

    1. Creating a GKE cluster: We will first set up a GKE cluster where our application will be hosted.
    2. Configuring Kubernetes provider: To interact with our GKE cluster through Pulumi, we need to set up the Kubernetes provider.
    3. Deploying the Helm chart: Once we have access to the cluster, we will deploy the remote-network-agent Helm chart.


    • You need to have Pulumi CLI installed and set up with Google Cloud credentials.
    • Ensure you have kubectl configured to interact with your GKE clusters.
    • Helm CLI installed to work with Helm charts.

    Here's how to perform each step in TypeScript:

    import * as gcp from "@pulumi/gcp"; import * as k8s from "@pulumi/kubernetes"; import * as pulumi from "@pulumi/pulumi"; // Step 1: Creating a GKE cluster. const gkeCluster = new gcp.container.Cluster("my-gke-cluster", { // Provide the initial cluster version. initialNodeCount: 3, minMasterVersion: "latest", // Choose an appropriate version. nodeVersion: "latest", // Choose an appropriate version. nodeConfig: { // Define the properties of the machines in the node pool. machineType: "n1-standard-1", 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" ], }, // Add more configurations as needed. }); // Step 2: Configuring Kubernetes provider. const k8sProvider = new k8s.Provider("my-k8s-provider", { kubeconfig: gkeCluster.name.apply(name => { const cluster = gcp.container.getCluster({ name, location: "us-central1-a", // Specify the correct region here }); const context = `${gcp.config.project}_${gcp.config.zone}_${name}`; return `apiVersion: v1 clusters: - cluster: certificate-authority-data: ${cluster.masterAuth.0.clusterCaCertificate} server: https://${cluster.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 3: Deploying the Helm chart. const helmChart = new k8s.helm.v3.Chart("remote-network-agent-chart", { chart: "remote-network-agent", // Define the Helm repo if it's not the default stable one. // For example: // repositoryOpts: { // repo: "https://charts.example.com/" // }, // Specify version and values for the Helm chart as necessary. // For example: // version: "1.2.3", // values: { // key: "value", // }, }, { provider: k8sProvider }); // Export the Kubeconfig to be able to interact with the cluster without Pulumi export const kubeconfig = k8sProvider.kubeconfig;


    1. We create a GKE cluster using @pulumi/gcp. This cluster will serve as the hosting environment for the remote-network-agent.
    2. We configure a Kubernetes provider to interact with the GKE cluster. The provider needs to authenticate against the GKE cluster, which we achieve by generating a kubeconfig file dynamically using the information from the created GKE cluster.
    3. We then use the @pulumi/kubernetes package to deploy the remote-network-agent Helm chart. You need to provide the correct chart name and optionally specify a repository if it isn't located in the default Helm repository.

    After running this Pulumi program, it will deploy your remote-network-agent Helm chart on your newly created GKE cluster. You may interact with the cluster using the exported kubeconfig file within the bounds of the IAM policies applied to your Google Cloud account or the service account that Pulumi is using.

    Remember to replace "latest" in minMasterVersion and nodeVersion with actual versions supported by GCP, and adjust the machineType and location according to your application's requirements and the desired region, respectively. If the Helm chart is in a custom repository, you should add the repositoryOpts property to specify the chart's repository URL.

    To run this Pulumi program, you would navigate to the program's directory and execute pulumi up. The command will provision the resources as defined, and it will output the kubeconfig which you can use to configure kubectl.