Deploy the yugaware helm chart on Linode Kubernetes Engine

Question

Pulumi · Accepted Answer

To deploy the YugabyteDB Helm chart on the Linode Kubernetes Engine (LKE) using Pulumi, you will need to complete the following high-level steps:

1. Set up the Linode Kubernetes Engine cluster.
2. Install the YugabyteDB Helm chart on the LKE cluster.

For this process, we will be using the `@pulumi/linode` and `@pulumi/kubernetes` packages.

Pulumi enables you to define your infrastructure using real programming languages, and for this example, we will be using TypeScript. The following program outlines the necessary steps to programmatically declare your LKE cluster and deploy the YugabyteDB Helm chart.

First, let's see the full Pulumi TypeScript program that accomplishes this, and then I will explain each part:

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

// Step 1: Create a new Linode Kubernetes Engine cluster.
const cluster = new linode.LkeCluster("my-cluster", {
    label: "my-yugabyte-cluster",
    region: "us-central", // Choose a region that is geographically close to your users
    k8sVersion: "1.21",  // Specify the version of Kubernetes you want
    tags: ["yugabyte-lke"],
    nodePools: [{
        count: 3, // Choose the number of nodes in the pool
        type: "g6-standard-2", // Choose the type of Node in the pool
    }],
});

// Step 2: Set up the Kubernetes provider to use the kubeconfig obtained from the LKE cluster.
const provider = new k8s.Provider("my-k8s-provider", {
    kubeconfig: cluster.kubeconfigRaw,
});

// Step 3: Deploy YugabyteDB using the Helm chart.
const yugabytedb = new k8s.helm.v3.Chart("yugabyte", {
    chart: "yugabyte",
    fetchOpts:{
        repo: "https://charts.yugabyte.com"
    },
    namespace: "default", // Specify the namespace where the chart should be installed
    // Specify any custom values for the chart here, as needed.
    values: {
        // ...

// Example of setting resource limits for the YugabyteDB pods
        // resource: {
        //     master: {
        //         requests: {
        //             cpu: "2",
        //             memory: "4Gi",
        //         },
        //         limits: {
        //             cpu: "4",
        //             memory: "8Gi",
        //         },
        //     },
        //     tserver: {
        //         requests: {
        //             cpu: "2",
        //             memory: "4Gi",
        //         },
        //         limits: {
        //             cpu: "4",
        //             memory: "8Gi",
        //         },
        //     },
        // },
    },
}, { provider });

// Step 4: Export the LKE cluster's kubeconfig and any other outputs you may need.
export const kubeconfig = cluster.kubeconfigRaw;
export const yugabyteHelmChart = yugabytedb.status;
```

### Explanation:

- **Step 1**: We declare an LKE cluster resource with a given label, region, Kubernetes version, tags, and node pool configuration. Modify these values to suit your needs, such as the size and count of your nodes.

- **Step 2**: We declare a Kubernetes provider, which uses the kubeconfig from our LKE cluster. This will allow Pulumi to communicate with your cluster to manage resources.

- **Step 3**: We deploy the YugabyteDB Helm chart using the `Chart` resource from the Pulumi Kubernetes provider. You can provide custom configurations to the `values` field if needed. You might need to adjust the chart name, version, or custom values based on the Helm chart's requirements.

- **Step 4**: We export the kubeconfig and the Helm chart status, so you can easily access them outside of Pulumi, perhaps for manual inspection or use with `kubectl`.

To use the above program, you should have the Pulumi CLI installed and configured for use with your Linode account. Additionally, Node.js must be installed to run JavaScript/TypeScript Pulumi programs.

You would save the code into a file named `index.ts` (or another TypeScript file), and then use the Pulumi CLI to create a new stack, preview the deployment, and apply it, which would provision the resources as described.

Remember to replace example values with actual ones that fit your deployment needs and to set any additional configuration that might be required by the YugabyteDB Helm chart.