Deploy the infosys-deepstream helm chart on Linode Kubernetes Engine

Question

Pulumi · Accepted Answer

To deploy the `infosys-deepstream` Helm chart on Linode Kubernetes Engine using Pulumi, you'll need to go through a few steps which I will guide you through.

Here's what each step entails:

1. **Set Up Linode Kubernetes Engine (LKE):** Initially, you'll have to provision a Kubernetes cluster on Linode if one isn't already running. This includes defining the desired region, node type, and the number of nodes.

2. **Install and Configure Pulumi:** Ensure that you have Pulumi installed and configured for use with your Linode account. You'll need to have the Pulumi CLI and the necessary Linode credentials set up.

3. **Install Helm Chart:** You'll use Pulumi's Kubernetes provider to deploy the `infosys-deepstream` Helm chart to your LKE cluster. You will detail the Helm chart's repository, name, and any specific configurations as necessary.

Below is a detailed Pulumi program that performs these steps using TypeScript:

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

// Step 1: Provision a Linode Kubernetes cluster
// Before running this Pulumi code, ensure you have a Kubernetes cluster set up in Linode.
// You can set up a new LKE cluster via the Linode Cloud Manager or using the Linode Pulumi Provider.

// Step 2: Ensure that your Pulumi environment is configured with the kubeconfig file for the LKE cluster.
// Usually, this is automatically set up when the LKE cluster is created.
// Pulumi uses this kubeconfig file to communicate with your Kubernetes cluster.

// Step 3: Define the Helm chart deployment for `infosys-deepstream`
const infosysDeepstreamChart = new k8s.helm.v3.Chart("infosys-deepstream", {
  // Specify the repository that hosts the infosys-deepstream chart,
  // the specific chart name, and the version if necessary.
  // The `repo` field should contain the URL of the Helm repository
  // or you can use the `chart` field to specify a local path to the chart.
  // Note that you need to replace `REPO_URL` with the actual repository URL and
  // specify any custom `values` required for the chart.
  chart: "deepstream",
  version: "CHART_VERSION", // replace with the actual chart version
  fetchOpts: {
    repo: "REPO_URL", // replace with Helm chart's repository URL
  },
  // Include any custom values you need to provide for the Helm chart.
  // These values override the default values of the Helm chart.
  values: {
    // Replace these with the actual values required for the infosys-deepstream chart.
  },
});

// Export the endpoint to access the deployed service
export const deepstreamEndpoint = infosysDeepstreamChart.getResourceProperty("v1/Service", "infosys-deepstream", "status")
  .apply(status => status.loadBalancer.ingress[0].ip);

```

Please make sure to replace `REPO_URL`, `CHART_VERSION`, and the values within the `values` object with the actual information from the `infosys-deepstream` Helm chart. You may need to look up the correct values from the Helm chart's documentation or chart values.yaml file.

Once this program is ready, you can deploy it using the Pulumi CLI with the following commands in your terminal:

```bash
# Install the Pulumi CLI if you haven't already.
# Follow the instructions on Pulumi's website for your specific operating system.

# Log into Pulumi using your desired backend.
pulumi login

# Create a new Pulumi project if you haven't already done so.
pulumi new typescript

# Replace the contents of index.ts in your Pulumi project with the program above.
# Be sure to fill in any placeholders with the correct values.

# Run `pulumi up` to create or update your cloud resources based on your Pulumi program.
pulumi up
```

This will prompt you to confirm the deployment. Once confirmed, Pulumi will apply the desired state to your Linode Kubernetes Engine cluster and deploy the `infosys-deepstream` Helm chart. After the deployment succeeds, you can use the exported `deepstreamEndpoint` to interact with your service.