1. Deploy the kubeflow-kfserving helm chart on Linode Kubernetes Engine

    TypeScript

    Deploying the Kubeflow KFServing Helm chart on Linode Kubernetes Engine (LKE) can be broken down into the following steps:

    1. Provisioning a Kubernetes Cluster on Linode: First, we must create an LKE cluster where we can deploy our applications.

    2. Configuring Kubectl to Connect to the Cluster: Once the cluster is ready, we need to be able to interact with it, which typically involves setting up kubectl with the appropriate configuration to communicate with the cluster.

    3. Installing the Helm CLI: Helm is a package manager for Kubernetes that simplifies the deployment of applications. We'll need to install Helm to be able to deploy the KFServing chart.

    4. Deploying KFServing via a Helm Chart: With Helm installed, we can then deploy KFServing by adding the relevant Helm repository and installing the chart.

    Below is the Pulumi TypeScript program that performs these steps. The program uses @pulumi/linode for provisioning the LKE cluster.

    import * as linode from "@pulumi/linode"; import * as k8s from "@pulumi/kubernetes"; import * as pulumi from "@pulumi/pulumi"; // Step 1: Provision an LKE Cluster const clusterName = "kubeflow-lke-cluster"; const lkeCluster = new linode.LkeCluster(clusterName, { label: clusterName, k8sVersion: "1.18", // Specify your desired Kubernetes version region: "us-central", // Specify the region where you want the cluster tags: ["kubeflow", "kfserving"], // Define the node pool for the cluster pools: [{ count: 2, // Number of nodes type: "g6-standard-2" // Type of node }], }); // Step 2: Configure Kubectl to connect to the LKE cluster // The Kubeconfig is generated by LKE which we'll use to configure kubectl. export const kubeconfig = lkeCluster.kubeconfig; // Initialize a new k8s provider with the kubeconfig from the LKE cluster const provider = new k8s.Provider("k8s-provider", { kubeconfig: lkeCluster.kubeconfig, }); // Step 3 & 4: Deploy Kubeflow KFServing via Helm Chart // The Helm chart installation begins once the LKE cluster is ready. // Use a prepared Helm chart from a repository const kfservingChart = new k8s.helm.v3.Chart("kfserving", { chart: "kfserving", version: "0.4.1", // Specify the chart version you wish to deploy fetchOpts: { repo: "https://kubeflow.github.io/kfserving/helm/", // Helm repo URL }, namespace: "kfserving-system", // Namespace where KFServing should be installed }, { provider }); // Export the cluster's kubeconfig and KFServing URL export const kubeconfigOutput = lkeCluster.kubeconfig; export const kfservingUrl = pulumi.interpolate`http://api.${lkeCluster.endpoint}/v1/models`;

    Explanation of the Program

    • The program begins by importing the necessary Pulumi modules for working with the Linode and Kubernetes providers and the Pulumi SDK itself.

    • First, we create an LKE cluster by instantiating a linode.LkeCluster resource. Here, you specify details such as the cluster's name, region, Kubernetes version, and details about the node pools such as count and type.

    • Once the cluster is provisioned, we use its kubeconfig output to set up our Kubernetes provider. This provider is responsible for deploying resources to the newly created LKE cluster.

    • With the Kubernetes provider configured, we move to install the KFServing Helm chart. A k8s.helm.v3.Chart resource specifies the Helm chart we wish to deploy (in this case, kfserving), along with details such as version and the Helm repository URL.

    • The program finally exports the cluster kubeconfig and a constructed URL that you can use to interact with the KFServing API once the application is deployed and ready.

    Usage

    1. First, ensure you have the Pulumi CLI installed and configured with Linode access tokens. You'll also need to have Linode CLI tools installed to retrieve kubeconfig details if required.

    2. Next, create a new Pulumi project and place the provided code in the appropriate index.ts file.

    3. Run pulumi up in your terminal within the project directory. This command will start the deployment process. Pulumi will provide you details about the resources that will be created.

    4. After reviewing the resource details, proceed with the deployment by choosing yes.

    5. Once the deployment is successful, Pulumi will output the cluster kubeconfig.

    Please adapt versions and settings as necessary for your actual setup and workflow. Make sure to check any updates on the KFServing Helm chart or Linode Kubernetes Engine specifications beyond the knowledge cutoff date for this guidance.


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