Deploy the quickstart-python helm chart on Linode Kubernetes Engine

Question

Pulumi · Accepted Answer

To deploy the `quickstart-python` Helm chart on Linode Kubernetes Engine (LKE) using Pulumi, you would typically follow these steps:

1. Set up the Pulumi Linode provider to manage resources in Linode.
2. Use the Pulumi Kubernetes provider to interact with the Kubernetes cluster.
3. Deploy a Kubernetes cluster on LKE using Pulumi Linode resources.
4. Install the `quickstart-python` Helm chart on the cluster with the Pulumi Kubernetes provider.

Below, you'll find a detailed Pulumi TypeScript program that performs these steps. The resources are created and deployed in the sequence necessary to establish a Linode Kubernetes cluster and then deploy a Helm chart to it.

First, we need to install the necessary Pulumi packages for Linode and Kubernetes. The following commands should be run in your project directory:

```bash
pulumi plugin install resource linode v2.8.3
pulumi plugin install resource kubernetes v3.7.1
npm install @pulumi/linode @pulumi/kubernetes
```

Now let's walk through the Pulumi TypeScript program:

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

// Create a Linode Kubernetes Engine cluster.
const cluster = new linode.LkeCluster("my-lke-cluster", {
    region: "us-central",
    k8sVersion: "1.21",
    label: "my-lke-cluster",
    tags: ["pulumi-k8s"],
    nodePools: [{
        type: "g6-standard-1",
        count: 2, // Number of nodes in the node pool
    }],
});

// Export the cluster kubeconfig in order to interact with the cluster.
export const kubeconfig = cluster.kubeconfig;

// Create a Kubernetes provider instance using the kubeconfig from the Linode cluster.
const provider = new k8s.Provider("my-lke-k8s-provider", {
    kubeconfig: cluster.kubeconfig,
});

// Deploy the quickstart-python Helm chart on the Linode Kubernetes Engine cluster.
const quickstartPythonChart = new k8s.helm.v3.Chart("quickstart-python", {
    chart: "quickstart-python",
    version: "1.0.0", // Replace with the actual chart version you wish to deploy
    fetchOpts: {
        repo: "http://charts.example.com/", // Replace with the actual Helm repo URL
    },
}, { provider }); // Ensure we use the provider that leverages the Linode cluster’s kubeconfig

// Output the status of the deployed Helm chart
export const helmChartStatus = quickstartPythonChart.status;
```

Here's a breakdown of what the above Pulumi program does:

- We import the necessary modules from the `@pulumi/kubernetes` and `@pulumi/linode` packages.
- We create a Linode Kubernetes Engine cluster with two nodes in the central US region. Note that `region`, `k8sVersion`, and `type` are placeholders and should be replaced with actual values based on your requirements and the options provided by Linode.
- We export the `kubeconfig` for the cluster, which will be used to interact with the Kubernetes API.
- We create a new Pulumi Kubernetes provider configured with the exported `kubeconfig`.
- We deploy a Helm chart named `quickstart-python` using the `Chart` resource from the Pulumi Kubernetes provider. The `repo` option under `fetchOpts` should be set to the Helm repository where the `quickstart-python` chart is located.
- We export the status of the Helm chart deployment, which can be used to check the outcome of the deployment.

Once this program is executed with `pulumi up`, it will perform all the necessary steps to deploy the specified Helm chart to your Linode Kubernetes Engine cluster. Remember to inspect and confirm the resources that will be created before proceeding with the update.

After the deployment, you can check the status of your Helm chart using the `helmChartStatus` stack output.

Keep in mind that the actual chart name and version may vary, and you'll need to obtain the correct chart name, version, and repository URL to use with the `k8s.helm.v3.Chart` resource.

This program is meant to give you a start with deploying on LKE using Pulumi. For production environments, you would need to consider additional aspects like security, reliability, and monitoring.