1. Deploy the services-kafka helm chart on Linode Kubernetes Engine


    To deploy the services-kafka Helm chart on the Linode Kubernetes Engine (LKE) with Pulumi, you'll need to create an LKE cluster, configure the Kubernetes provider to point to the LKE cluster, and then deploy the Helm chart using Pulumi's Kubernetes provider.

    Here's a step-by-step explanation of the program that accomplishes your goal:

    1. Create an LKE Cluster: Use the Pulumi Linode provider to set up an LKE cluster. You will need to specify the region, the Kubernetes version, and the node type, as well as the desired number of nodes.

    2. Configure Kubernetes Provider: Once the cluster is up and running, we obtain the Kubeconfig file that Pulumi will use to interact with your Kubernetes cluster.

    3. Deploy Helm Chart: Utilize Pulumi's Chart resource from its Kubernetes provider. The Chart resource allows you to specify the chart name (services-kafka in this case), the version, and any values to configure the chart if necessary.

    Please note that before running the program below, you'll need to set up Pulumi with access to your Linode account and install any necessary dependencies. This code assumes you have the Pulumi CLI installed and configured for both Linode and Kubernetes.

    Now, let's look at the TypeScript program to accomplish this:

    import * as pulumi from '@pulumi/pulumi'; import * as linode from '@pulumi/linode'; import * as k8s from '@pulumi/kubernetes'; // Step 1: Create a Linode Kubernetes Engine cluster const cluster = new linode.LkeCluster('kafka-cluster', { // Update these values based on your needs label: 'kafka-cluster', region: 'us-central', // specify the correct region k8sVersion: '1.21', // select the appropriate Kubernetes version tags: ['pulumi-kafka'], pools: [{ count: 3, // number of nodes type: 'g6-standard-2', // node type }], }); // Step 2: Configuring the Kubernetes provider to point to the LKE cluster const kubeconfig = pulumi.all([cluster.kubeconfig]).apply(([kubeconfig]) => kubeconfig.rawConfig); const k8sProvider = new k8s.Provider('k8s-provider', { kubeconfig: kubeconfig, }); // Step 3: Deploy the `services-kafka` Helm chart const kafkaChart = new k8s.helm.v3.Chart('services-kafka', { chart: 'kafka', version: '1.0.0', // you must specify which chart version you want to deploy fetchOpts: { repo: 'https://charts.your-repo.com/', // specify the Helm chart repository }, }, { provider: k8sProvider }); // Export the cluster's kubeconfig and the service's endpoint export const kubeconfigOutput = kubeconfig; export const kafkaServiceEndpoint = kafkaChart.getResourceProperty('v1/Service', 'services-kafka', 'status');

    When you run the above program with Pulumi, it will perform the following actions:

    • Establish a Linode Kubernetes Engine (LKE) cluster using the specified configurations.
    • Obtain the kubeconfig necessary to communicate with the LKE cluster.
    • Deploy the Kafka Helm chart to the cluster you've created.

    Verify that your Linode API token is set up correctly so Pulumi can authenticate with Linode. Pulumi will automatically use your kubeconfig to communicate with your Kubernetes cluster, so there's no need for manual configuration.

    To deploy this program, first, transpile the TypeScript into JavaScript using the tsc command. Then, you can use the pulumi up command to provision the resources with Pulumi. Remember to destroy resources with pulumi destroy when they're no longer needed to avoid unnecessary charges.