1. Deploy the prometheus-operator-mixin helm chart on Google Kubernetes Engine (GKE)


    To deploy the prometheus-operator-mixin Helm chart on Google Kubernetes Engine (GKE), you need to perform a few high-level steps:

    1. Set up a GKE cluster: Provision a Kubernetes cluster on GKE.
    2. Install the Helm chart: Once the cluster is up and running, use Helm to install the prometheus-operator-mixin chart.

    Here's a detailed explanation and TypeScript program for each step:

    Step 1: Set up a GKE cluster

    First, you will create a GKE cluster using Pulumi's Google Cloud (GCP) provider. This step involves defining the cluster's configuration, such as the number of nodes, the type of machine, and the location where the cluster will be hosted.

    Here's a TypeScript program to provision a GKE cluster:

    import * as gcp from "@pulumi/gcp"; import * as k8s from "@pulumi/kubernetes"; // Create a GKE cluster const cluster = new gcp.container.Cluster("my-gke-cluster", { initialNodeCount: 2, minMasterVersion: "latest", nodeVersion: "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 export const kubeconfig = cluster.endpoint.apply(endpoint => { return cluster.masterAuth.apply(masterAuth => { const context = `${gcp.config.project}_${gcp.config.zone}_${cluster.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 program creates a GKE cluster with 2 nodes using the n1-standard-1 machine type. It also generates and exports a kubeconfig file necessary to interact with the cluster using kubectl.

    Step 2: Install the prometheus-operator-mixin Helm chart

    The second step involves installing the prometheus-operator-mixin Helm chart. For that, you will use Pulumi's Helm support within the Kubernetes provider.

    However, to deploy a Helm chart, you usually need the chart's name and repository. Without specific details of the prometheus-operator-mixin chart, you'd typically add the repository it's hosted on and then deploy the chart.

    Here's an example of how to install a generic Helm chart:

    // Import required packages import * as gcp from "@pulumi/gcp"; import * as k8s from "@pulumi/kubernetes"; // The code from the cluster setup goes here... // Initialize a new k8s provider instance by using the kubeconfig generated above const k8sProvider = new k8s.Provider("my-k8s-provider", { kubeconfig: kubeconfig, }); // Deploy the prometheus-operator-mixin Helm chart const prometheusOperatorMixin = new k8s.helm.v3.Chart("prometheus-operator-mixin", { repo: "<REPO_NAME>", // Replace with the name of the repository, e.g., "stable" chart: "prometheus-operator-mixin", // Replace with the chart name if different // You can specify the version of the chart and values to customize the installation version: "<CHART_VERSION>", // Replace with a specific chart version, e.g., "1.2.3" values: { // Provide any specific configuration needed for the chart }, }, { provider: k8sProvider }); // Export the status of the deployed Helm chart export const prometheusOperatorMixinStatus = prometheusOperatorMixin.status;

    This chunk of the program initializes a Pulumi Kubernetes provider with the previously created kubeconfig so that Pulumi can communicate with your GKE cluster. Then, it installs the prometheus-operator-mixin Helm chart to the cluster. Please