1. Deploy the python-app helm chart on Linode Kubernetes Engine


    To deploy a Helm chart to the Linode Kubernetes Engine using Pulumi, we will be working with the @pulumi/kubernetes library which allows us to interact with Kubernetes resources including Helm charts. Helm charts are a way to package Kubernetes applications that you can deploy as a single unit, and 'python-app' in this context would be a Helm chart for a Python application.

    Here are the steps we'll follow to deploy the 'python-app' Helm chart:

    1. Set up a new Pulumi project and install necessary dependencies.
    2. Configure our Linode provider if necessary.
    3. Write a TypeScript Pulumi program that instantiates a Kubernetes cluster on the Linode Kubernetes Engine.
    4. Deploy the 'python-app' Helm chart to the newly created Linode Kubernetes cluster.

    I'll now provide a detailed TypeScript program to accomplish this task. Before running this code, ensure you have Pulumi installed and configured with Linode access credentials.

    import * as kubernetes from "@pulumi/kubernetes"; import * as linode from "@pulumi/linode"; // Create a new Linode Kubernetes Engine (LKE) cluster const cluster = new linode.LkeCluster("my-python-app-cluster", { k8sVersion: "1.20", // specify the version of Kubernetes region: "us-central", // choose the appropriate region nodePools: { nodes: [ { // Define the type and number of Linode instances for your node pool type: "g6-standard-2", count: 3, }, ], }, }); // Once the cluster is created, we can configure the Kubernetes provider to use the kubeconfig from the newly created LKE cluster. const k8sProvider = new kubernetes.Provider("k8s-provider", { kubeconfig: cluster.kubeconfig.apply(JSON.stringify), }); // Now, we will use the Helm chart resource to deploy our Python application using a Helm chart. // We assume that the 'python-app' chart is available in a Helm chart repository. // Deploy 'python-app' Helm chart const pythonAppChart = new kubernetes.helm.v3.Chart("python-app", { chart: "python-app", version: "1.0.0", // replace with the specific version you want to deploy fetchOpts: { repo: "http://example.com/helm-charts", // the URL to your Helm chart repository }, }, { provider: k8sProvider }); // Use the Kubernetes provider configured with the LKE cluster // Export the Kubeconfig and the public service endpoint for the Python app export const kubeconfig = cluster.kubeconfig; export const pythonAppEndpoint = pythonAppChart.getResourceProperty("v1/Service", "python-app-service", "status").apply(status => status.loadBalancer.ingress[0]);


    • We import the @pulumi/kubernetes and @pulumi/linode SDKs to interact with Kubernetes resources and manage the Linode Kubernetes Engine cluster.
    • We create an LKE cluster with a single node pool consisting of three Linode virtual machine instances.
    • We define a kubernetes.Provider which uses the kubeconfig provided by the Linode cluster so Pulumi can communicate with our Kubernetes cluster.
    • We then create a Helm chart resource, specifying the name and version of the chart, as well as the location of the Helm chart repository.
    • We've also provided a sample HTTP repository URL http://example.com/helm-charts; you'll replace this with the actual URL to your Helm repository where the 'python-app' chart is hosted.
    • We specify a version for the Helm chart. It's important to replace "1.0.0" with the actual chart version you'd like to deploy.
    • We use the LKE kubeconfig when setting up our Kubernetes provider, ensuring that Pulumi targets our newly created cluster.
    • Finally, we export the kubeconfig to interact with our cluster using kubectl, and the public service endpoint to access the deployed Python application.

    Next Steps:

    • Replace the chart, version, and repo fields with the correct values for your Python application's Helm chart.
    • Make sure you have access permissions to the provided Helm chart repository.
    • If you're running this code outside of Linode, ensure you have configured your local environment with the necessary Linode credentials.
    • After setting up the Pulumi project, you can deploy the code by running pulumi up from the command line.

    Remember that this demonstrates how to deploy a Helm chart on an LKE cluster using Pulumi and assumes that the necessary Helm chart for your Python application exists in a chart repository. If any additional Helm configuration values are required, they can be supplied through the values field on the kubernetes.helm.v3.Chart resource.