Deploy the django helm chart on AWS EKS

Question

Pulumi · Accepted Answer

To deploy a Django Helm chart on AWS EKS using Pulumi, we'll go through several steps. Here's an overview of the process:

1. We need to provision an EKS cluster on AWS. We'll use the `eks.Cluster` module provided by Pulumi's EKS package, which simplifies creating and configuring an EKS cluster.

2. Once the EKS cluster is in place, we'll need to deploy the Django Helm chart onto it. To do this, we'll make use of Pulumi's `kubernetes.helm.v3.Chart` resource which allows us to specify and deploy Helm charts.

Here is a Pulumi program written in TypeScript that will create an EKS cluster and deploy a Django Helm chart on it:

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

// Create an EKS cluster with the default configuration.
const cluster = new eks.Cluster("my-cluster", {});

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

// Create a Kubernetes provider instance using the cluster's kubeconfig.
const provider = new k8s.Provider("provider", {
    kubeconfig: cluster.kubeconfig.apply(JSON.stringify),
});

// Deploy the Django Helm chart to the EKS cluster.
const djangoChart = new k8s.helm.v3.Chart("django-helm", {
    chart: "django",
    version: "x.x.x", // Specify the version of the Helm chart you wish to deploy
    fetchOpts: {
        repo: "https://charts.bitnami.com/bitnami", // The repository URL where the Django Helm chart is located
    },
}, { provider: provider });

// Export the URL to access the deployed Django application.
// You would need to look up the correct service and use its status to obtain the 
// external IP or domain name. For example, we can assume it's a LoadBalancer service.
const frontend = djangoChart.getResource("v1/Service", "my-release-django");
export const frontendUrl = frontend.status.loadBalancer.ingress[0].hostname;

```

Here's a detailed explanation of what the code is doing:

- We import the necessary Pulumi packages.
- We create an EKS cluster with the default configuration using `eks.Cluster`. This abstracts away much of the complexity of setting up an EKS cluster.
- We export the `kubeconfig` of the cluster, which is needed to interact with the cluster using `kubectl` or other Kubernetes tools.
- We create an instance of the `k8s.Provider` which tells Pulumi how to communicate with the EKS cluster by providing it with the `kubeconfig`.
- We then declare a `djangoChart` using the `k8s.helm.v3.Chart` resource, where we specify the name of the chart and the repository URL.
- Finally, we attempt to export the `frontendUrl`, which would be the URL to access the deployed Django application. As this depends on your specific Helm chart's setup, you'll have to adjust the resources and attributes you are referencing accordingly.

Please replace the `version` in the code with the specific version of the Django Helm chart that you want to deploy, and adjust the service name (`my-release-django`) to match the one defined by your Helm chart. You'll have to install the helm charts separately; the Pulumi code does not handle Helm chart installation itself.