1. Deploy the hetzner-irobo helm chart on AWS EKS


    Deploying a Helm chart onto an Amazon EKS (Elastic Kubernetes Service) cluster involves several steps. First, you need to provision an EKS cluster, and typically you would use an ECR (Elastic Container Registry) to store your Docker images. However, since we are deploying a Helm chart, we might not need to use ECR directly in this task unless the chart specifies images that should be pulled from a private registry.

    Below you'll find a Pulumi program that deploys an EKS cluster and then uses a Helm chart to deploy the hetzner-irobo application. We'll use the eks package to create the cluster, which is a higher-level abstraction over the aws provider and simplifies cluster creation.

    Here is what the program does:

    1. It sets up an EKS cluster with a specified node size and desired capacity.
    2. It installs the Helm chart to the EKS cluster.
    import * as awsx from '@pulumi/awsx'; import * as eks from '@pulumi/eks'; import * as k8s from '@pulumi/kubernetes'; // Step 1: Create an EKS cluster. // The `eks.Cluster` is a higher-level abstraction that encapsulates the creation of an EKS cluster. const cluster = new eks.Cluster('irobo-eks-cluster', { desiredCapacity: 2, // Set the desired number of worker nodes. minSize: 1, // Set the minimum number of worker nodes. maxSize: 3, // Set the maximum number of worker nodes. instanceType: 't2.medium', // Specify the instance type to use for the worker nodes. }); // Step 2: Deploy the hetzner-irobo Helm chart to the EKS cluster. // We define a Kubernetes provider using the kubeconfig generated from our EKS cluster creation // to communicate with the cluster and then use it to install the Helm chart. const kubeconfig = cluster.kubeconfig.apply(JSON.stringify); const k8sProvider = new k8s.Provider('irobo-k8s-provider', { kubeconfig, }); const iroboHelmChart = new k8s.helm.v3.Chart('irobo-helm-chart', { // Replace 'chart-name' with the exact chart name and provide the complete repository URL. chart: 'hetzner-irobo', fetchOpts: { repo: 'https://charts.your-repository.com/', } }, { provider: k8sProvider }); // Export the EKS cluster's kubeconfig and the irobo application's Helm chart status. export const kubeconfigOutput = cluster.kubeconfig; export const iroboHelmChartStatus = iroboHelmChart.status;
    • The awsx and eks packages are used to create and manage AWS cloud resources, like the EKS cluster, through Pulumi.
    • The kubernetes package is utilized to interact with the Kubernetes cluster and deploy applications using Helm charts.

    To use this Pulumi program:

    1. Install Pulumi and configure AWS access.
    2. Create a new Pulumi project and replace the contents of index.ts with the code above.
    3. Replace 'https://charts.your-repository.com/' with the actual URL of the repository containing the hetzner-irobo Helm chart.
    4. Run pulumi up to preview and deploy the changes.

    After running pulumi up, the command line will offer a preview of the resources that Pulumi plans to create for the EKS cluster. Confirm the changes to start the deployment.

    The program sets up an EKS cluster and configures Kubernetes to use it as its provider. Then, it uses the helm.v3.Chart resource to deploy the hetzner-irobo Helm chart from a remote repository.

    Keep in mind that if the Helm chart hetzner-irobo requires any specific configuration values (e.g., custom image repository, service configurations), you'll need to specify those in the values field within the iroboHelmChart resource.

    This program should work out-of-the-box if the EKS component, IAM roles, and policies are configured correctly in your AWS environment. If there're any specific configurations required for your EKS setup, you need to adjust the cluster creation parameters accordingly.