Deploy the cognitive-services-speech-onpremise helm chart on Opensshift

Question

Pulumi · Accepted Answer

In order to deploy the `cognitive-services-speech-onpremise` Helm chart on OpenShift, you will need to follow several steps. These steps are quite common for any Helm chart deployment on a Kubernetes cluster, including ones managed by OpenShift.

Here is a general outline of the process you need to go through:

1. Establish a connection with your OpenShift cluster from your local machine or CI/CD pipeline.
2. Make sure Helm is installed on your OpenShift cluster.
3. Locate the Helm chart for cognitive-services-speech-onpremise. It might be in a public or private Helm repository.
4. Update Helm repositories (if needed).
5. Deploy the Helm chart to your OpenShift cluster.

Here is how you can accomplish this using Pulumi with TypeScript:

```typescript
import * as k8s from "@pulumi/kubernetes";

// Provide the name of your OpenShift cluster.
const clusterName = "my-openshift-cluster";

// The namespace where you want to deploy the chart.
const namespace = "default";

// You must have configured the Kubernetes provider for Pulumi to use the context of your OpenShift cluster.
// Please ensure you have the correct context set in your kubeconfig file.
// Details on setting up Pulumi with Kubernetes can be found here:
// https://www.pulumi.com/docs/intro/cloud-providers/kubernetes/setup/

// Now you create an instance of the Helm Chart to deploy.
// You will need to specify the repository and chart name along with any custom values that the chart requires.
const cognitiveServicesSpeechChart = new k8s.helm.v3.Chart("cognitive-services-speech-onpremise", {
  chart: "cognitive-services-speech-onpremise",
  version: "x.y.z", // specify the version of the chart you wish to deploy
  fetchOpts: {
    repo: "http://myhelmrepo.com/charts", // replace with the actual Helm repo URL
  },
  namespace: namespace,
  // Include any custom values you need for the Helm chart.
  values: {
    // These values would be specific to the cognitive-services-speech-onpremise chart.
    // Check the chart's documentation for configuration options.
  },
});

// To export the name of the release, just make sure you add an export statement.
export const chartName = cognitiveServicesSpeechChart.metadata.apply(metadata => metadata.name);
```

Here's a deeper dive into what's happening in the code:

- The `k8s` module is imported from `@pulumi/kubernetes`. This module provides you with classes and functions you will need to interact with Kubernetes resources.
- The `cognitiveServicesSpeechChart` object represents an instance of the Helm chart we want to install. Pulumi's `helm.v3.Chart` class is a high-level abstraction for deploying Helm Charts to a Kubernetes cluster.
- The `.apply` method is used to retrieve the name of the deployed chart. This allows you to have access to runtime properties of your resources.
- You need to replace `"x.y.z"` with the actual version of the Helm chart that you wish to install, and `"http://myhelmrepo.com/charts"` with the URL of the Helm repository where the `cognitive-services-speech-onpremise` chart is hosted.
- The `values` property would need to be filled with configuration options specific to the `cognitive-services-speech-onpremise` chart. These are custom values applying specific configurations for your deployment.

Before you run this program, ensure that you have the following prerequisites met:

1. Pulumi CLI installed.
2. Kubernetes and Helm CLI tools are installed.
3. You are logged in to your OpenShift cluster (`oc login`).
4. You have an existing Helm chart or know the location of a remote one.
5. Pulumi's stack configuration points to the correct cluster where you want to deploy the Helm chart.

To run this program, navigate to the directory containing the Pulumi program, and execute `pulumi up`. Pulumi will perform a series of steps which will result in the deployment of the specified Helm chart on your OpenShift cluster.

Remember that this is a simplified example and actual requirements from a real application could be more complex. Always refer to the official Pulumi [documentation](https://www.pulumi.com/docs/) for detailed guidance.