1. Deploy the zeppelin helm chart on AWS EKS

    TypeScript

    To deploy the Zeppelin helm chart on an Amazon EKS (Elastic Kubernetes Service) cluster using Pulumi, you will need to perform the following high-level steps:

    1. Create an EKS cluster using Pulumi's AWS or eks package.
    2. Deploy the Helm chart for Zeppelin onto the EKS cluster.

    Below are the explanations and the corresponding TypeScript program that you can use to accomplish this.

    EKS Cluster Creation

    First, you need to create an EKS cluster. You use eks.Cluster from the Pulumi EKS package which provides a high level abstraction over creating an EKS cluster. Before you can use the eks.Cluster resource, you need to set up an IAM role that EKS will assume for creating and managing resources.

    import * as aws from "@pulumi/aws";
import * as eks from "@pulumi/eks";
import * as pulumi from "@pulumi/pulumi";
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;

    In this code block, an EKS cluster is created with EC2 instances of type t2.medium. The desiredCapacity sets how many instances to aim for, while minSize and maxSize define the scaling range for the cluster's Auto Scaling Group.

    Deploying Helm Chart on EKS

    Once you have the cluster, you can deploy applications using Helm charts. To deploy the Zeppelin helm chart, you use the Chart resource from Pulumi's Kubernetes package.

    // Use the generated kubeconfig to connect to the EKS cluster
const provider = new k8s.Provider("eks-provider", {
    kubeconfig: cluster.kubeconfig.apply(JSON.stringify),
});

// Deploy the Zeppelin Helm chart
const zeppelinChart = new k8s.helm.v3.Chart("zeppelin", {
    chart: "zeppelin",
    version: "2.1.0", // specify the version of the chart
    fetchOpts: {
        repo: "https://helm.zeppelin.io",
    },
}, { provider }); // ensure that the Helm chart is deployed using the EKS cluster

    This Helm chart deployment will install Zeppelin on your EKS cluster using the specified version. The fetchOpts specifies where to fetch the chart from, with repo being the Helm repository URL that holds the Zeppelin chart.

    Combining these code snippets results in the following complete Pulumi program:

    import * as aws from "@pulumi/aws";
import * as eks from "@pulumi/eks";
import * as pulumi from "@pulumi/pulumi";
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;

// Use the generated kubeconfig to connect to the EKS cluster
const provider = new k8s.Provider("eks-provider", {
    kubeconfig: cluster.kubeconfig.apply(JSON.stringify),
});

// Deploy the Zeppelin Helm chart
const zeppelinChart = new k8s.helm.v3.Chart("zeppelin", {
    chart: "zeppelin",
    version: "2.1.0", // specify the version of the chart
    fetchOpts: {
        repo: "https://helm.zeppelin.io",
    },
}, { provider }); // ensure that the Helm chart is deployed using the EKS cluster

    Now, with this Pulumi program, you're creating an EKS cluster and deploying the Zeppelin Helm chart to it. The Pulumi EKS and Kubernetes packages handle the intricate parts of setting up EKS and deploying helm charts. The kubeconfig is exported so that you can interact with your cluster using kubectl from your local machine if necessary.

    To run the program:

    1. Install Pulumi and set up the AWS CLI with your credentials.
    2. Save the TypeScript code to a file named index.ts.
    3. Run pulumi up in the command line from the directory where your file is saved to deploy the cluster and the helm chart.

    Please note that the actual parameters for the cluster creation and Zeppelin Chart might need to be adjusted based on the actual specifications and configurations you desire for your use case.


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