1. Deploy the aspecto-io-opentelemetry-collector helm chart on Google Kubernetes Engine (GKE)


    To deploy the aspecto-io-opentelemetry-collector Helm chart on a Google Kubernetes Engine (GKE) cluster using Pulumi, you will need to follow these steps:

    1. Create a GKE Cluster: First, we will set up the GKE cluster where you want to install your Helm chart.
    2. Install Helm Chart: Once the cluster is ready, we will use Pulumi's Helm support to deploy the aspecto-io-opentelemetry-collector Helm chart onto the GKE cluster.

    We will be using the @pulumi/gcp package to create the GKE cluster, and the @pulumi/kubernetes package to operate Helm charts. You need to make sure you have these packages installed in your working environment.

    Let's get to the code. This Pulumi TypeScript code will accomplish your goal:

    import * as pulumi from "@pulumi/pulumi"; import * as gcp from "@pulumi/gcp"; import * as k8s from "@pulumi/kubernetes"; // Step 1: Create a GKE cluster const cluster = new gcp.container.Cluster("gke-cluster", { // Basic cluster configuration: adjust as necessary initialNodeCount: 2, minMasterVersion: "latest", // It's recommended to set a specific version nodeVersion: "latest", nodeConfig: { // Specify the required machine type machineType: "n1-standard-1", // Enable OAuth scopes below as required by your environment 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" ], }, }); // Obtain the kubeconfig from the GKE cluster 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 `; }); // Step 2: Deploy the Helm Chart onto the GKE cluster const chart = new k8s.helm.v3.Chart("aspecto-io-opentelemetry-collector", { chart: "opentelemetry-collector", version: "0.7.0", // specify the desired chart version fetchOpts: { repo: "https://aspecto-io.github.io/opentelemetry-helm-charts", }, }, { provider: new k8s.Provider("k8s-provider", { kubeconfig }) }); // Export the Kubeconfig and GKE cluster name to access them later easily export const kubeconfigOutput = kubeconfig; export const clusterName = cluster.name;

    Here is what we have done in the above program:

    • We created a GKE cluster with the specified node count and machine type using the gcp.container.Cluster class. You will want to adjust these settings accordingly for production use.
    • We generated a kubeconfig file that can be used to access the cluster with kubectl or from within any Kubernetes management tool that requires it.
    • We created a new Helm chart deployment using the k8s.helm.v3.Chart class. The Helm Chart opentelemetry-collector is fetched from the specified Aspecto repository, with a version you can adjust to suit your needs.
    • Finally, we exported the kubeconfig and the cluster name for later access.

    You can adjust the Helm chart settings such as version and other configurations in the Chart resource based on the specific version and customizations you would like to deploy.

    This code will deploy the aspecto-io-opentelemetry-collector chart with default settings. If you need to set custom values for your deployment, you can pass a values argument with an appropriate JSON object to the Chart resource.

    After running this Pulumi program, the new GKE cluster will be created, and the OpenTelemetry Collector will be deployed within it. You can then check the status of Helm releases by using kubectl in conjunction with the generated kubeconfig file.