1. Deploy the kubernetes-dashboard-1-7 helm chart on Google Kubernetes Engine (GKE)


    To deploy the Kubernetes Dashboard version 1.7 using a Helm chart on Google Kubernetes Engine (GKE), you will first need to set up a GKE cluster where the Dashboard will run. Then, you will deploy the Helm chart for the Kubernetes Dashboard onto the GKE cluster.

    Pulumi provides the kubernetes.helm.v3.Chart resource which allows you to deploy Helm charts easily into a Kubernetes cluster. Helm charts are collections of pre-configured Kubernetes resources that you can deploy as a unit.

    Here is a program that creates a GKE cluster and deploys a Helm chart for Kubernetes Dashboard version 1.7:

    import * as pulumi from "@pulumi/pulumi"; import * as gcp from "@pulumi/gcp"; import * as k8s from "@pulumi/kubernetes"; // Create a GKE cluster const cluster = new gcp.container.Cluster("gke-cluster", { initialNodeCount: 2, nodeVersion: "latest", minMasterVersion: "latest", nodeConfig: { 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" ], }, }); // Export the Cluster name export const clusterName = cluster.name; // Export the Kubeconfig to access the cluster with kubectl 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: ${context} `; }); // Set up a Kubernetes provider to use the generated kubeconfig const k8sProvider = new k8s.Provider("k8s-provider", { kubeconfig: kubeconfig, }); // Deploy the Kubernetes Dashboard using a Helm Chart const dashboard = new k8s.helm.v3.Chart( "kubernetes-dashboard", { namespace: "kube-system", chart: "kubernetes-dashboard", version: "1.7.1", fetchOpts: { repo: "https://kubernetes.github.io/dashboard/", }, }, { provider: k8sProvider }, ); // Export the Dashboard URL export const dashboardUrl = pulumi.interpolate`https://${cluster.endpoint}/api/v1/namespaces/kube-system/services/https:kubernetes-dashboard:/proxy/`; // Important links: // - GCP Cluster: https://www.pulumi.com/registry/packages/gcp/api-docs/container/cluster/ // - Kubernetes Provider: https://www.pulumi.com/registry/packages/kubernetes/api-docs/provider/ // - Helm Chart: https://www.pulumi.com/registry/packages/kubernetes/api-docs/helm/v3/chart/

    In this program, we first import the required Pulumi packages. We then define a gcp.container.Cluster, which represents a GKE cluster where your Kubernetes Dashboard will live. The GKE cluster is configured with two nodes and uses the n1-standard-1 machine type. The necessary OAuth scopes for the GKE nodes are also specified.

    Once the cluster is set up, we generate a kubeconfig file allowing us to interact with the cluster using tools like kubectl. We store this configuration in a Pulumi output variable.

    Next, we create a k8s.Provider configured with our kubeconfig. This provider will enable communication with the GKE cluster where the Kubernetes Dashboard will be deployed.

    We then go on to create a new Helm chart using k8s.helm.v3.Chart and specify the desired namespace, the chart name (Kubernetes Dashboard), and its version. We also set the Helm repository where the chart can be found.

    Finally, we export the URL that you can use to access the Kubernetes Dashboard through a proxy in the kube-system namespace of your GKE cluster. This URL can be used to access the Dashboard once all resources have been provisioned on GKE.

    Keep in mind that you will need to set up Pulumi with the appropriate credentials for Google Cloud and have access to any billing account if this is a new GKE cluster provisioning. You might also need to install Helm locally and configure it with proper role-based access control (RBAC) permissions depending on your requirements.