1. Deploy the prometheus-process-exporter helm chart on Google Kubernetes Engine (GKE)


    To deploy the prometheus-process-exporter Helm chart on Google Kubernetes Engine (GKE), we need to perform the following steps:

    1. Set up a GKE cluster: First, we need to provision a GKE cluster where our applications will run. We will use the gcp.container.Cluster resource to create a new Kubernetes cluster.

    2. Install the Helm Chart: After setting up the GKE cluster, we'll utilize the kubernetes.helm.v3.Chart resource to deploy the prometheus-process-exporter chart from its repository. This resource is responsible for fetching and installing Helm charts into a Kubernetes cluster.

    Below is a TypeScript program that demonstrates how to accomplish these tasks using Pulumi.

    Pulumi Program Explained

    • Imports: We start by importing the necessary libraries for GCP, Pulumi Kubernetes, and Helm.
    • Cluster Creation: We instantiate a GKE cluster with the specified configuration such as the initial node count and machine type.
    • KubeConfig: We retrieve the kubeconfig from the GKE cluster to communicate with the cluster.
    • Helm Chart Installation: Finally, we deploy the prometheus-process-exporter Helm chart into the GKE cluster using the retrieved kubeconfig.

    Here's the complete Pulumi TypeScript program that encapsulates the above steps:

    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, nodeConfig: { preemptible: true, 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' ], }, }); // Retrieve the kubeconfig for the created 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 `; }); // Create a Kubernetes provider instance using the kubeconfig const k8sProvider = new k8s.Provider('k8s-provider', { kubeconfig: kubeconfig, }); // Deploy the `prometheus-process-exporter` Helm chart on the cluster const prometheusProcessExporterChart = new k8s.helm.v3.Chart('prometheus-process-exporter', { chart: 'prometheus-process-exporter', version: '0.1.0', fetchOpts: { repo: 'https://prometheus-community.github.io/helm-charts', }, }, { provider: k8sProvider }); // Export the cluster's name and kubeconfig export const clusterName = cluster.name; export const clusterKubeconfig = kubeconfig;

    This program configures a GKE cluster and deploys the prometheus-process-exporter Helm chart. The version 0.1.0 in the Chart resource specifies the version of the Helm chart to be used and can be modified as per the requirements. Similarly, the nodeConfig can be customized to suit the specific needs of your workload.

    Make sure you have Pulumi installed and configured with GCP credentials. You should also have gcloud CLI installed as the kubeconfig generated references gcloud for command execution. To run this program, save it to a file named index.ts, then run pulumi up to create the resources. After the command successfully completes, your GKE cluster will be up and running with the prometheus-process-exporter Helm chart installed.