1. Deploy the kafka-topics-ui helm chart on Google Kubernetes Engine (GKE)


    To deploy the kafka-topics-ui Helm chart on Google Kubernetes Engine (GKE) using Pulumi, we'll follow these steps:

    1. Set up a GKE cluster: Before deploying the Helm chart, we need a Kubernetes cluster. GKE is a managed environment for deploying, managing, and scaling containerized applications using Google infrastructure.

    2. Install and Configure Helm: Helm is a package manager for Kubernetes that allows you to define, install, and upgrade even the most complex Kubernetes applications. Helm uses a packaging format called charts; in this case, kafka-topics-ui is such a chart.

    3. Deploy the Helm Chart: After setting up a GKE cluster and configuring Helm, we will deploy the kafka-topics-ui Helm chart to our GKE cluster.

    Below is a Pulumi program, written in TypeScript, that performs the necessary steps:

    import * as gcp from "@pulumi/gcp"; import * as k8s from "@pulumi/kubernetes"; import * as pulumi from "@pulumi/pulumi"; // Create a GKE cluster const gkeCluster = 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 = gkeCluster.name; // Export the Cluster kubeconfig export const kubeconfig = pulumi. all([gkeCluster.name, gkeCluster.endpoint, gkeCluster.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 that uses our cluster from above. const clusterProvider = new k8s.Provider("my-gke-cluster-provider", { kubeconfig: kubeconfig, }); // Deploy the kafka-topics-ui Helm chart const kafkaTopicsUiChart = new k8s.helm.v3.Chart("kafka-topics-ui", { chart: "kafka-topics-ui", version: "latest", // Replace with specific chart version if needed fetchOpts: { repo: "https://raw.githubusercontent.com/lensesio/kafka-helm-charts/master/", // Official Helm chart repository for kafka-topics-ui }, }, { provider: clusterProvider }); // Export the Helm chart deployment name export const kafkaTopicsUiChartName = kafkaTopicsUiChart.name;

    In this program, we do the following:

    • Import necessary Pulumi packages to access GCP and Kubernetes functionality.
    • Define a GKE cluster with the desired configuration (node count, machine type, etc.). The OAuth scopes are selected to allow the nodes to interact with Google Cloud services effectively.
    • Export the name of the cluster and generate a kubeconfig file. The kubeconfig is crucial for interacting with your cluster securely and is used by kubectl and other Kubernetes tools.
    • Create a Pulumi Kubernetes provider, which encapsulates the kubeconfig and allows Pulumi to communicate with the GKE cluster.
    • Instantiate the kafka-topics-ui Helm chart using the Pulumi Kubernetes Chart resource and specify the chart's repo URL.
    • Finally, we export the name of the Helm chart deployment as a stack export.

    To apply this Pulumi program and set up your GKE cluster with kafka-topics-ui, save it to a file named index.ts, and then you can run pulumi up in the same directory. Pulumi will execute the program and create the desired resources in your GCP account.

    Make sure you have the Pulumi CLI installed, and you're logged in with your GCP account set up (the gcloud CLI is authenticated, and the project is set). Visit the documentation pages for @pulumi/gcp and @pulumi/kubernetes if you need more information on these packages.