1. Deploy the distributed-tensorflow helm chart on Opensshift


    To deploy the distributed TensorFlow Helm chart on an OpenShift cluster, you'll need to use the Pulumi Kubernetes provider to interact with your cluster and deploy resources through Helm charts. Here's a step-by-step process on how you would generally do this with Pulumi in TypeScript:

    1. Set up a Pulumi project: Initialize a new Pulumi project and install necessary dependencies.
    2. Configure Kubernetes Provider: Ensure that Pulumi can interact with your OpenShift cluster by setting up the Kubernetes provider.
    3. Add Helm Chart Resource: Use the kubernetes.helm.v3.Chart class to define a new Helm chart resource that points to the distributed TensorFlow chart.

    Below is a TypeScript program that demonstrates these steps. Before running this program, ensure that you have access to your OpenShift cluster from your local environment, typically by using oc login to authenticate. This program assumes you have already configured Pulumi with the necessary access to your cluster.

    Detailed Pulumi TypeScript Program:

    import * as k8s from "@pulumi/kubernetes"; // Step 1: Instantiate the Kubernetes provider for OpenShift const provider = new k8s.Provider("openshift", { // Assumes you have already configured the access to your OpenShift cluster. // Pulumi uses the configuration from the default context in your kubeconfig file (`~/.kube/config`). }); // Step 2: Define the TensorFlow distributed Helm chart // You will need the correct repository URL where the TensorFlow Helm chart is hosted, // and you also need to specify the chart version and any custom values required for your deployment. const tensorflowChart = new k8s.helm.v3.Chart("distributed-tensorflow", { chart: "distributed-tensorflow", // Change this to the correct chart name version: "x.x.x", // Specify exact chart version // Optional: Add any custom value overrides // values: { // key: value, // }, fetchOpts: { repo: "http://repository_url/", // Replace with the Helm chart's repository URL }, }, { provider }); // Pass the provider to ensure this deploys into OpenShift // Export the URL or any other output of interest // E.g., if the chart exposes a service with an external IP or a hostname export const endpoint = tensorflowChart.getResourceProperty("v1/Service", "my-service", "status").apply(status => status.loadBalancer.ingress[0].hostname);

    This program performs the following actions:

    • It configures the Kubernetes provider to interact with your OpenShift cluster.
    • It creates a new Helm chart resource that corresponds to the distributed TensorFlow Helm chart, providing the name of the chart and its version.
    • It specifies the Helm chart repository URL where the Pulumi program can fetch the chart from.
    • If needed, it provides a set of custom values that override the default configurations specified by the chart, which you can specify within the values field.
    • Finally, it exports the endpoint of your service if the chart exposes any service with an external IP or hostname. You need to replace my-service with the actual resource name defined within your Helm chart.

    Please adjust the chart name, version, repository URL, and any custom values according to the actual Helm chart you wish to deploy. You can usually find this information in the documentation of the distributed TensorFlow Helm chart or by contacting the Helm chart maintainers.

    After setting up this program, you can deploy your chart by running pulumi up in your terminal. This will trigger Pulumi to provision the resources as defined in your program. Remember, effective use of Pulumi requires familiarity with the cloud resources you're deploying to and any associated services or frameworks, such as TensorFlow in this case.