Deploy the pypi-server helm chart on Opensshift

Question

Pulumi · Accepted Answer

To deploy the `pypi-server` Helm chart on OpenShift using Pulumi, you'll use the Pulumi Kubernetes provider to install the Helm chart into your OpenShift cluster. OpenShift is essentially a Kubernetes distribution, so Kubernetes resources and Helm charts can be deployed in the same manner as they would be on a standard Kubernetes cluster.

Below is a Pulumi TypeScript program that shows how to use the `Chart` resource from the `@pulumi/kubernetes/helm` package. This resource allows you to deploy Helm charts into a Kubernetes cluster. The program assumes that you have already configured Pulumi with the necessary credentials to deploy resources to your OpenShift cluster.

The `Chart` resource includes several parameters, such as:

- `chart`: The name of the Helm chart, in this case, `pypi-server`.
- `version`: The version of the Helm chart to deploy. You can specify a version number or leave it as undefined to select the latest version.
- `namespace`: The Kubernetes namespace into which the chart will be deployed. If not specified, it defaults to the `default` namespace.
- `values`: A set of configuration values for the Helm chart. You can specify all the required and/or optional values based on the `pypi-server` chart's `values.yaml` file.

Let's begin with the Pulumi program:

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

// Define the settings or custom values we want to provide to the pypi-server Helm chart.
// Update these values according to your specific needs or the pypi-server chart's documentation.
const pypiServerChartValues = {
    // Example of setting custom values:
    // service: {
    //     type: "ClusterIP",
    // },
    // pypi: {
    //     password: "your-password",
    //     storage: {
    //         size: "10Gi",
    //     },
    // },
};

// Create a new pypi-server Helm chart instance in the desired namespace on OpenShift.
const pypiServerChart = new k8s.helm.v3.Chart("pypi-server", {
    chart: "pypi-server",
    // Specify the repository containing the chart if it's not in the default Helm chart repository.
    // fetchOpts: {
    //     repo: "https://YOUR_CUSTOM_HELM_REPO/",
    // },
    version: "1.2.3", // Specify the exact chart version, or remove to pull the latest version.
    namespace: "your-namespace", // Specify the namespace or remove to use the default namespace.
    values: pypiServerChartValues,
});

// Export the desired properties of the deployed chart (such as the service endpoint).
export const pypiServerEndpoint = pypiServerChart.getResourceProperty(
    "v1/Service",
    "pypi-server",
    "status"
);

```

### Detailed explanation:

1. We start by importing the `@pulumi/kubernetes` package, which is Pulumi's SDK for interfacing with Kubernetes clusters including OpenShift.

2. We define `pypiServerChartValues`, which is an object containing the configuration values for the `pypi-server` Helm chart. You need to replace the values with the ones suitable for your chart and use case. If you need to override any default config settings or specify various parameters, you would add them here.

3. Next, we declare a `Chart` resource named `pypi-server`. We specify the chart's name and optionally provide a custom repository URL if the chart is not in the official Helm chart repository. We also specify a version and namespace. If you don't specify a `fetchOpts.repo` property, Pulumi will try to locate the chart in the default Helm repositories available to your cluster.

4. If you've placed this Helm chart in a private repository, you may need to provide additional configurations like credentials to access the repository. The `fetchOpts` can be expanded to include these items.

5. Lastly, we export the service's endpoint of the `pypi-server`, which you can use to interact with the server once it's deployed. This is just an example showing how to access properties of deployed resources. In your case, you will need to adjust what you're exporting based on what pieces of information are useful for your deployment.

Remember that the Helm chart for `pypi-server` might have different configurable values, and you should update the `pypiServerChartValues` with the values that make sense for your deployment.