1. Deploy the mlflow-helm-chart helm chart on Linode Kubernetes Engine


    To deploy an MLflow helm chart on Linode Kubernetes Engine (LKE), we'll follow these steps:

    1. Setup the Linode Kubernetes cluster – Ensure you have a running LKE cluster available.
    2. Install @pulumi/kubernetes – We will use the Pulumi Kubernetes provider to interact with the Linode Kubernetes cluster.
    3. Define the MLflow Helm chart deployment – We'll use the Chart resource from the Pulumi Kubernetes provider to deploy the MLflow helm chart.

    Before proceeding, make sure that you have installed:

    • Pulumi CLI
    • Linode CLI (to create and manage the Kubernetes cluster)
    • kubectl (to interact with the Kubernetes cluster)
    • Node.js and npm/yarn (to run the Pulumi program)

    Here's the Pulumi program written in TypeScript which performs these steps:

    import * as pulumi from "@pulumi/pulumi"; import * as k8s from "@pulumi/kubernetes"; // Existing Linode Kubernetes cluster configuration (assuming it's already been created and configured). const config = new pulumi.Config(); const kubeconfig = config.require("kubeconfig"); // Create a provider for the existing Linode Kubernetes cluster. const provider = new k8s.Provider("lke-provider", { kubeconfig: kubeconfig, }); // Deploy the MLflow Helm chart on the existing LKE cluster. const mlflowChart = new k8s.helm.v3.Chart("mlflow", { chart: "mlflow", // If the MLflow chart is found in a specific Helm repo, specify its 'repo' property. // e.g., repo: "https://my-repo.com/charts", // You may also need to specify the 'version' of the chart to use a particular version. // version: "1.0.0", }, { provider }); // Export the name of the Helm chart deployment, which you can use to reference it. export const mlflowChartName = mlflowChart.name;

    Let's go through each part of this program:

    • Import Statements: These are the required imports for Pulumi to work with Kubernetes and to allow us to define configuration settings.

    • Cluster Configuration: We retrieve the kubeconfig for your LKE cluster from Pulumi's configuration system. You need to ensure that you have the kubeconfig available in Pulumi's configuration, which is typically configured via the Pulumi CLI or the Pulumi Console.

    • Provider: This is the Kubernetes provider configuration that Pulumi uses to communicate with the Kubernetes API server. Here, you must provide the kubeconfig that gives Pulumi access to the LKE cluster. Replace the "kubeconfig" placeholder with your actual kubeconfig.

    • Helm Chart Deployment: We declare a Chart resource, which represents the deployment of the MLflow helm chart. Replace "mlflow" with the actual name of the chart if it is different and specify the repository using the repo property if needed. You can also specify the chart version you want to deploy.

    • Export: After deploying the Helm chart, we export the name of the chart deployment for easy access. This name is useful when monitoring the deployment or when configuring other dependent resources.

    You'll need to modify this program to reflect your specific configuration details, such as the chart repository and the chart version if not using the default.

    To run this Pulumi program, save it to a file named index.ts, install the necessary dependencies with npm or yarn, and then execute it with pulumi up.

    This program assumes the MLflow helm chart is available in the Helm repository you are using. If your Helm chart is not publicly available, ensure you have configured access correctly, and that you use the appropriate repository URL and authentication if required.