1. Deploy the mlflow-helm-chart helm chart on Opensshift


    To deploy the mlflow-helm-chart on OpenShift with Pulumi, you will utilize the kubernetes.helm.v3.Chart resource from the Pulumi Kubernetes provider. This resource enables you to deploy Helm charts to a Kubernetes cluster, which in this case is an OpenShift cluster.

    Before you begin, ensure that you have the following prerequisites fulfilled:

    1. Pulumi CLI installed.
    2. kubectl configured to interact with your OpenShift cluster.
    3. Helm and the Helm chart repository containing the mlflow-helm-chart.

    Here is the Pulumi TypeScript program that would deploy the mlflow-helm-chart on OpenShift:

    import * as k8s from '@pulumi/kubernetes'; const namespace = new k8s.core.v1.Namespace("mlflow-namespace", { metadata: { name: "mlflow" } }); const mlflowRelease = new k8s.helm.v3.Chart("mlflow-helm-chart", { repo: "repo-name", // Replace with the name of the repository containing the chart chart: "mlflow", // Replace with the name of the chart if different version: "version", // Specify the chart version if necessary namespace: namespace.metadata.name, // Deploy the chart in the created namespace values: { // Provide any configuration options necessary for your setup // Configuration values for mlflow-helm-chart // Example: // service: { // type: "ClusterIP" // }, // Refer to the Chart's values.yaml file for a full list of configuration options. }, }, { provider: k8sProvider, // This assumes you have a Pulumi Kubernetes provider configured for OpenShift }); export const mlflowUrl = mlflowRelease.getResourceProperty("v1/Service", "mlflow-helm-chart-mlflow", "status").apply(status => status.loadBalancer.ingress[0].hostname);


    • You first import the necessary Pulumi Kubernetes package.
    • Create a Kubernetes namespace for the MLflow deployment.
    • Deploy the MLflow Helm chart using k8s.helm.v3.Chart. repo, chart, and version should be replaced with the correct information from the Helm chart you wish to deploy. If you don't specify a version, Helm will default to the latest available version.
    • The values field is an object that should match the configuration options available for the mlflow-helm-chart. These are equivalent to the values you would override in a values.yaml file when using Helm directly. You will need to refer to the chart's documentation or its values.yaml for the options you can set.
    • Lastly, an export of the MLflow service's URL is provided, assuming the chart exposes MLflow through a Kubernetes service of type LoadBalancer. If the service is exposed differently, for instance through an Ingress or ClusterIP, you will need to alter this accordingly.

    Remember to replace placeholders such as repo-name and version with correct information based on the MLflow Helm chart you're using.

    Configure your OpenShift Kubernetes provider as needed for Pulumi to communicate with it. If you haven't configured this yet, you can set it up following the instructions here.

    To run this Pulumi program:

    1. Save the code to a file named index.ts.
    2. Run pulumi up from the command line in the same directory as your index.ts.

    This command will initiate the deployment process managed by Pulumi, which will communicate with your OpenShift cluster to realize the desired state as defined in the program.