1. Deploy the tensorflow-serving helm chart on Kubernetes


    To deploy the TensorFlow Serving Helm chart on a Kubernetes cluster, you'll need to use the helm.sh/v3.Chart resource from the Pulumi Kubernetes provider. This resource allows you to deploy applications packaged as Helm charts.

    Below is a TypeScript program that demonstrates how to deploy the TensorFlow Serving Helm chart. Make sure you have Pulumi installed, have access to a Kubernetes cluster, and have your KUBECONFIG environment variable set appropriately before running this program.

    I'll walk you through the program step by step:

    1. We'll start by importing the required modules from Pulumi and defining the Helm chart we wish to deploy.
    2. We'll create a new Helm chart resource using new Chart(...), specifying the chart name, the repository where the chart can be found, and any values you wish to override.

    Here's the TypeScript program for deploying the TensorFlow Serving Helm chart:

    import * as k8s from '@pulumi/kubernetes'; // Create a new instance of the TensorFlow Serving Helm chart. const tensorflowServingChart = new k8s.helm.v3.Chart('tensorflow-serving', { // Specifying the chart name, and optionally the version. chart: 'tensorflow-serving', // Specify the Helm repository where the chart is located. // This should be changed to the URL/alias of the Helm repository where TensorFlow Serving is hosted. repo: 'https://<helm-repo-url>', // Option to specify the namespace. If not provided, it uses the default namespace. namespace: 'default', // If you need to override any default chart values, you can specify them here. // This is just an example, and you'll want to provide actual values based on your needs. // values: { // key1: 'value1', // key2: 'value2', // ... // } }); // To access the Kubernetes resources you've just created or modified, // you can export values like below: export const serviceName = tensorflowServingChart.getResource('v1/Service', 'tensorflow-serving-service').metadata.name;

    In the code above, you'll need to replace <helm-repo-url> with the actual URL of the Helm repository that hosts the TensorFlow Serving chart. It is common for Helm charts to be hosted on public repositories like https://charts.helm.sh/stable or on private repositories provided by organizations. If there are specific chart versions or values you wish to override, you can specify them in the values property of the chart resource.

    Once the code is ready, you can deploy it using the Pulumi CLI. Run pulumi up in the directory where your index.ts file is located, and Pulumi will handle the deployment of the chart to your Kubernetes cluster.

    Remember, since the program interacts with your Kubernetes cluster, it requires appropriate permissions, which are configured outside of Pulumi.

    For more information on using Helm charts with Pulumi, you can visit the official Pulumi documentation: Pulumi Kubernetes Helm Charts.