Deploy the ms-hello-python helm chart on Kubernetes

Question

Pulumi · Accepted Answer

To deploy a Helm chart on a Kubernetes cluster using Pulumi, you will need to create a Pulumi program that defines a `Chart` resource from the `@pulumi/kubernetes` package. This resource leverages the Helm package manager to deploy applications on Kubernetes.

The `Chart` resource requires information about the Helm chart you wish to deploy, like the chart name, version, and repository URL if it's a public chart not located in the official Helm repository.

Below is a TypeScript program using Pulumi that deploys the `ms-hello-python` Helm chart on a Kubernetes cluster. The chart name suggests that it may not be in the official Helm repository, so you'd normally need to specify the `repo` parameter with the repository URL. However, for the purpose of demonstration, we'll assume `ms-hello-python` is located in a repository that's already been added to the Helm configuration.

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

// Create an instance of the ms-hello-python Helm chart.
const msHelloPythonChart = new k8s.helm.v3.Chart("ms-hello-python-helm-chart", {
    // Replace with the actual repository URL or name where the ms-hello-python chart is located.
    // If the chart is in the official Helm repository, you may not need to specify 'repo'.
    repo: "my-helm-repo", 
    chart: "ms-hello-python",
    // Specify the version of the chart you want to deploy.
    // If not specified, the latest version will be deployed.
    version: "1.2.3",
    // You can specify the namespace where the Helm chart will be deployed.
    // If not specified, it will be deployed in the default namespace.
    namespace: "my-namespace",
    // If there are any specific configurations or overrides you need for the chart,
    // you can specify them in the 'values' object.
    values: {
        // Example configuration. Replace these with actual configuration values
        serviceType: "LoadBalancer",
        replicaCount: 2,
        // ...
    },
});

// Export the chart's status URL if applicable.
export const statusUrl = msHelloPythonChart.status.apply(status => status.helm.status.url);

// To run this program, you will need to have the Pulumi CLI installed, 
// configured to access a Kubernetes cluster, and have the npm packages installed.
```

This program will create a Helm chart instance of `ms-hello-python`, specifying the repository, chart version, and namespace. You can customize the values by modifying the `values` object. The status URL of the deployed application, if applicable, will be exported as a stack output.

Before running this program, ensure you have the following prerequisites installed and set up:

1. Pulumi CLI: [Install Pulumi CLI](https://www.pulumi.com/docs/get-started/install/) if you haven't already and [configure it](https://www.pulumi.com/docs/get-started/kubernetes/#configure-pulumi-to-connect-to-your-kubernetes-cluster) to connect to your Kubernetes cluster.
2. Node.js and npm: The runtime for the TypeScript program. You can download Node.js (which includes npm) from [here](https://nodejs.org/).
3. Helm: Ensure that Helm is configured correctly with your cluster, and you have access to the repository containing the `ms-hello-python` chart. You may need to add the repository with `helm repo add` if it's a custom repository.

Once you have all the prerequisites:

1. Initialize a new Pulumi project with `pulumi new` if you are starting from scratch.
2. Install the required npm package within the project directory:

```sh
   npm install @pulumi/kubernetes
   ```

3. Place the above TypeScript code into a file named `index.ts`.
4. Run `pulumi up` to preview and deploy the resources.

Remember to replace `"my-helm-repo"` and `version` with the actual Helm repository and desired chart version respectively. If your Helm chart requires specific configurations, you can provide them in the `values` object.