Deploy the ibm-apic-instance helm chart on Kubernetes

Question

Pulumi · Accepted Answer

To deploy a Helm chart on a Kubernetes cluster using Pulumi, you'll need to use the `@pulumi/kubernetes` package, which contains the necessary tools to interact with Kubernetes resources. In this case, you can use the `Chart` resource provided by the `helm.sh/v3` module to deploy the `ibm-apic-instance` chart.

First, ensure you have the proper set up:
- You have a Kubernetes cluster running and have access to it with `kubectl`.
- Pulumi CLI installed and you're authenticated to use it.
- Node.js and npm or Yarn installed to work with TypeScript and install the necessary Pulumi packages.

Here, I will guide you through writing a Pulumi program in TypeScript to deploy the `ibm-apic-instance` Helm chart to your Kubernetes cluster. This will include setting up the new Pulumi project, installing necessary dependencies, and crafting the TypeScript code for the deployment.

Create a new Pulumi project and set it up to use TypeScript:
```shell
pulumi new kubernetes-typescript
```

Next, navigate to your project's directory and install the `@pulumi/kubernetes` package if it's not already installed:
```shell
npm install @pulumi/kubernetes
```

Now, let's write a TypeScript program that will deploy the `ibm-apic-instance` Helm chart. For this, you'll need to have the Helm repository added that contains the `ibm-apic-instance` chart, and you'll need to know the exact version of the chart you wish to deploy. If you require specific values for the Helm chart, you can provide them in a values object within the `Chart` resource.

Here's how you would write the Pulumi TypeScript program to accomplish this:

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

// Create a Helm Chart resource. This example assumes you have already set up and connected to your Kubernetes
// cluster, and Helm and Pulumi are configured correctly.
const apicInstanceChart = new k8s.helm.v3.Chart("ibm-apic-instance", {
    // Use `repo` to reference the repository that contains the chart.
    // Replace `my-repo` with the actual Helm repository name that hosts the `ibm-apic-instance` chart.
    // If your chart exists in a local directory, you can also use the `path` parameter instead.
    repo: "my-repo",
    chart: "ibm-apic-instance",

// If your chart needs specific configurations, provide them under `values`.
    // This is an empty object template as an example, place your own values as needed.
    values: {
        // Place configuration values here, e.g., size of storage, names of ConfigMaps, etc.
        // size: "large",
        // configMapName: "my-config-map",
    },

// Specify which namespace the chart will be installed into.
    // Replace this value if you need to install it into a different namespace.
    namespace: "default",

// If the chart version is important (it usually is), then specify it.
    // Replace `1.2.3` with the actual version you wish to deploy.
    version: "1.2.3",
});

// Optional: You can export the resultant deployment's properties
export const deploymentName = apicInstanceChart.getResourceProperty("v1/Deployment", "ibm-apic-instance", "metadata").apply(m => m.name);
```

In the code snippet provided:
- We import the Pulumi Kubernetes package.
- We create a new instance of a Helm chart.
- We specify the repository name (`my-repo`) — you should replace this with the name of the repository containing your chart.
- We specify the chart name (`ibm-apic-instance`).
- We provide an example of how to pass custom values to the chart with the `values` object.
- We define the namespace for deployment. Replace "default" with your target namespace.
- We specify the version of the Helm chart we want to deploy. Make sure you replace `1.2.3` with the correct chart version you intend to deploy.
- Lastly, we provide an optional export of the deployment name, which can be accessed after running `pulumi up` to apply the changes to your cluster.

Now, this program can be executed using the Pulumi CLI by running `pulumi up`, which will perform the deployment to your Kubernetes cluster.