Deploy the grafana-mixin helm chart on AWS EKS

Question

Pulumi · Accepted Answer

To deploy the grafana-mixin Helm chart on AWS EKS using Pulumi, we'll follow these steps:

1. Set up an EKS cluster using the `aws-native.eks.Cluster` and `aws-native.eks.Nodegroup` resources.
2. Create a role for EKS (`aws-iam.EKSRole`) with the necessary permissions.
3. Deploy Grafana onto the EKS cluster by using the Helm chart.

This will involve creating an instance of EKS, configuring it, and ensuring that all necessary resources are available for Grafana to run successfully within the Kubernetes environment created by EKS.

Below is a detailed TypeScript program that sets up an EKS cluster and deploys Grafana using the `grafana-mixin` Helm chart. In this example, we're using a mixture of AWS-native and AWS resources as well as the Pulumi EKS package, which simplifies the creation and management of an EKS cluster.

First, make sure you have the Pulumi CLI installed and configured with your AWS credentials. You'll also need `kubectl`, `helm` CLI installed on your machine to interact with the cluster and install Helm charts. Note that Helm charts might require additional configuration which isn't covered in this example, so make sure to consult the documentation for the specific chart you are using.

### Pulumi Program to Deploy grafana-mixin Helm Chart on AWS EKS

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

// Create an EKS cluster.
const cluster = new eks.Cluster("my-cluster", {
    instanceType: "t2.medium",
    desiredCapacity: 2,
    minSize: 1,
    maxSize: 2,
});

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

// Create a Kubernetes provider instance that uses our EKS cluster from above.
const provider = new k8s.Provider("provider", { kubeconfig: cluster.kubeconfig });

// Use the Helm Chart resource to deploy Grafana.
const grafanaChart = new k8s.helm.v3.Chart("grafana-mixin", {
    chart: "grafana",
    version: "6.7.0", // Specify the version of the chart if needed
    fetchOpts:{
        repo: "https://grafana.github.io/helm-charts",
    },
    // Set the values for the grafana-mixin Helm chart. Additional configuration might be needed.
    values: {
        service: {
            type: "LoadBalancer",
        },
        // ... other values specific to grafana-mixin
    },
}, { provider });

// Export the Grafana URL to access your Grafana dashboard.
export const grafanaUrl = grafanaChart.getResourceProperty("v1/Service", "grafana-mixin-grafana", "status")
    .apply(status => `http://${status.loadBalancer.ingress[0].hostname}:80`);

```

### Explanation

- First, we import the required Pulumi packages for working with EKS, Kubernetes, and AWS.
- We create a new EKS cluster with the specified instance type and desired capacity. You might want to adjust these settings based on your needs.
- We export the `kubeconfig` from our EKS cluster which will allow `kubectl` and other tools to interact with the cluster.
- We create a Kubernetes provider that is tied to our EKS cluster.
- Using the Kubernetes provider, we deploy the Grafana Helm chart. We specify the version of the chart and potential Grafana settings such as using a LoadBalancer service type to expose Grafana outside of our cluster.
- Finally, we export the URL for Grafana, which can be used to access the Grafana dashboard. The actual domain or IP will be available once the LoadBalancer service is fully provisioned by AWS.

Before running this Pulumi program, you would need to install the Pulumi CLI and have your AWS account configured with the necessary permissions. Once you run `pulumi up` with this program, Pulumi will establish the infrastructure as defined. You can then access the Grafana dashboard using the provided URL.

Keep in mind that the provided code is a basic example. Depending on the actual `grafana-mixin` chart configuration, you might need to adjust chart version, values, or other settings. Always consult the official documentation for the chart for more detailed configurations.