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


    To deploy the Kafka Connector Helm chart on a Linode Kubernetes Engine (LKE) cluster, you'll need to follow a set of steps using Pulumi's infrastructure as code (IaC) approach. Pulumi allows you to define and deploy cloud resources using general-purpose programming languages. In this case, we will deploy the Helm chart using TypeScript.

    We will be using the @pulumi/kubernetes package to interact with Kubernetes from Pulumi. The kubernetes.helm.v3.Chart resource is the one we will use to deploy Helm charts. It's important to note that before using Pulumi to deploy the Kafka Connect Helm chart, you must have:

    1. A Pulumi account and have set up the Pulumi CLI locally.
    2. Your Linode API access token configured using the Pulumi CLI or the appropriate environment variable.
    3. The LKE cluster created and kubeconfig correctly set up in your environment to allow Pulumi to interact with your Kubernetes cluster.

    Below is a detailed TypeScript program to deploy a Kafka Connector Helm chart to your LKE cluster:

    import * as k8s from "@pulumi/kubernetes"; // Step 1: Create a new Kubernetes provider instance that specifies the LKE cluster. // You would replace `kubeconfig` value with the actual content of your kubeconfig file. const linodeK8sProvider = new k8s.Provider("linode-k8s", { kubeconfig: "<YOUR_KUBECONFIG_HERE>", // You can also opt to use KUBECONFIG environment variable instead of hard-coding here. }); // Step 2: Deploy the kafka-connector Helm chart using the provider instance. const kafkaConnectorChart = new k8s.helm.v3.Chart("kafka-connector", { chart: "kafka-connector", // Replace with the correct chart name if it's different. // You may need to specify the repository and version depending on the chart's availability. // For example, if the chart is in the 'confluentinc' repository: // repo: "https://confluentinc.github.io/cp-helm-charts/", // version: "0.1.0", // The chart version you want to deploy. // values override default chart values, here you can put the configuration specific to Kafka Connector. values: { // Your specific Kafka Connector configuration values go here. // e.g., set the Kafka broker URL, connector configuration, etc. }, }, { provider: linodeK8sProvider }); export const helmChartName = kafkaConnectorChart.metadata.name;

    In this program:

    • First, we import the @pulumi/kubernetes library, which provides the necessary functions and resources to interact with Kubernetes clusters.
    • We create a Pulumi Kubernetes provider that references your LKE cluster. You would typically place the actual kubeconfig for your LKE cluster where indicated.
    • Next, we create a Helm chart resource (kafkaConnectorChart) to deploy the Kafka Connector. The chart parameter specifies which Helm chart to deploy – in this case, 'kafka-connector'. Replace this with the correct Helm chart name if different.
    • If the chart is in a Helm repository, you'll need to provide the repo and version. These would point to the specific Helm repository URL and the version of the chart you want to deploy.
    • The values object is where you can override default Helm chart values with your own custom configurations needed for the Kafka Connector. This includes your Kafka broker URLs, connector specific configurations, etc.
    • Finally, we export the Helm chart name as an output, which can be useful if you're composing this program with other Pulumi stacks.

    After writing the above program in a index.ts file, you can execute it using Pulumi commands to deploy your resources:

    • Run pulumi up within the same directory as your index.ts file to preview and deploy the changes.

    Please ensure all prerequisites are met before running the program, such as having an LKE cluster ready and kubeconfig accessible by Pulumi. Adjust any placeholders with actual values you intend to use for your setup.