Deploy the jitsi helm chart on AWS EKS

Question

Pulumi · Accepted Answer

To deploy the Jitsi Helm chart on an Amazon EKS (Elastic Kubernetes Service) cluster, we will follow several steps. I'll guide you through these steps and explain each stage, so you'll understand how to use Pulumi for deploying Kubernetes resources with Helm charts on AWS EKS.

Here's a high-level overview of what we'll accomplish:

1. **Create an EKS Cluster**: We'll define an EKS cluster using Pulumi's EKS package, which simplifies the creation and configuration of an EKS cluster.

2. **Deploy the Jitsi Helm Chart**: Once we have our EKS cluster set up, we'll deploy the Jitsi Helm chart to our Kubernetes cluster. Pulumi provides a Kubernetes package that includes support for Helm charts.

Let's start with the program that will perform these tasks:

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

// Step 1. Create an EKS cluster:
// Here, we are creating a new EKS cluster. We specify the desired capacity of our node group,
// the instance type for our nodes, and the Kubernetes version we want to target.
const cluster = new eks.Cluster("jitsi-cluster", {
    instanceType: "t2.medium",
    desiredCapacity: 2,
    minSize: 1,
    maxSize: 3,
    version: "1.21",
});

// Expose the cluster's kubeconfig.
export const kubeconfig = cluster.kubeconfig;

// Step 2. Deploy the Jitsi Helm chart on the cluster:
// We are waiting for the EKS cluster to be ready before proceeding. Once ready, we create a
// Kubernetes provider and use that provider to deploy Jitsi using its Helm chart.

// A Kubernetes provider is necessary to connect to the cluster. We pass the kubeconfig we obtained from the EKS cluster.
const k8sProvider = new k8s.Provider("k8s-provider", {
    kubeconfig: cluster.kubeconfig.apply(JSON.stringify),
});

// Deploy the Jitsi Helm chart using the Kubernetes provider.
const jitsiChart = new k8s.helm.v3.Chart("jitsi", {
    repo: "jitsi", // This is a placeholder. Replace with the actual Helm repository name if it's different.
    chart: "jitsi", // Also a placeholder; use the chart name as published in the Helm repository.
    version: "1.0.0", // Replace with the version of the chart you want to deploy.
    // You may need to specify appropriate values based on the Jitsi Helm chart's documentation.
    values: {}, 
}, {provider: k8sProvider});

// Export the external IP to access the Jitsi service.
export const jitsiServiceIP = jitsiChart.getResourceProperty("v1/Service", "jitsi", "status")
    .apply(status => status.loadBalancer.ingress[0].ip || status.loadBalancer.ingress[0].hostname);
```

Here's what each part of the program does:

- **Create an EKS Cluster**: We initialize a new `eks.Cluster` with the name `jitsi-cluster`. We specify the minimum, maximum, and desired number of nodes in `minSize`, `maxSize`, and `desiredCapacity` respectively. The `instanceType` is set to `t2.medium`, which should be capable of running the Jitsi workloads. The `version` is the Kubernetes version that the EKS cluster will run.

- **Expose Kubeconfig**: We export the `kubeconfig` which contains the necessary details to communicate with our EKS cluster programmatically.

- **Deploy Jitsi Helm Chart to the Cluster**: After initializing the EKS cluster, we use a `k8s.Provider` with the `kubeconfig` to interact with our cluster. Then we deploy the `jitsi` Helm chart to our cluster with `k8s.helm.v3.Chart`. At this point, you need to replace the `repo`, `chart`, and `version` with the correct values you find in the Jitsi Helm chart repository. The `values` object would contain the configuration values required for the Jitsi deployment. It's important to consult the Helm chart's documentation for required values.

- **Export Jitsi Service IP**: Finally, we export the `jitsiServiceIP` variable. This holds the IP or hostname that can be used to access the Jitsi service externally once it's deployed.

To run this program, you would perform the following steps in your terminal:

1. Create a new Pulumi project with `pulumi new aws-typescript`.
2. Replace the content of `index.ts` with the provided code.
3. Run `npm install` to ensure all dependencies are installed.
4. Execute `pulumi up` to start the deployment. Pulumi will display a preview of the resources that will be created and prompt you for confirmation before proceeding.

Make sure to configure your AWS credentials before running the Pulumi CLI, as it relies on those credentials to create resources in your AWS account.