1. Deploy the mariadb-persistent helm chart on AWS EKS


    Deploying a mariadb-persistent Helm chart on an AWS EKS cluster involves several steps. First, you'll need an EKS cluster ready to run your Helm chart. With Pulumi, you can express your infrastructure in code and provision it easily. Below, I'll walk you through creating an EKS cluster and deploying a mariadb-persistent Helm chart to that cluster.

    1. Creating the EKS Cluster: We will use the eks.Cluster component from the Pulumi EKS package, which simplifies creating and managing an EKS cluster.

    2. Deploying the Helm Chart: After setting up the cluster, we will use the kubernetes.helm.v3.Chart resource from the Pulumi Kubernetes provider to deploy the mariadb-persistent chart.

    Here is the Pulumi program that completes the task:

    import * as pulumi from '@pulumi/pulumi'; import * as awsx from '@pulumi/awsx'; import * as eks from '@pulumi/eks'; 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 that uses our cluster from above. const k8sProvider = new k8s.Provider('k8s-provider', { kubeconfig: cluster.kubeconfig.apply(JSON.stringify), }); // Deploy mariadb-persistent Helm chart to the EKS cluster const mariadbChart = new k8s.helm.v3.Chart('mariadb-persistent', { chart: 'mariadb', version: 'YOUR_DESIRED_CHART_VERSION', // specify the version you want fetchOpts: { repo: 'https://charts.bitnami.com/bitnami', // assuming using Bitnami's helm repository }, values: { // You can specify your custom values for the Helm chart here // For example: // persistence: { // size: '10Gi', // }, // rootUser: { // password: 'YOUR_PASSWORD', // }, // replication: { // enabled: false, // }, // ... }, }, { provider: k8sProvider }); // Export the status of the helm release export const mariadbStatus = mariadbChart.status;

    This program starts by importing the necessary Pulumi packages. It then creates an EKS cluster (my-cluster) with the default configuration. After the cluster creation, we define a Kubernetes provider to interact with the cluster.

    We use the k8s.helm.v3.Chart resource to deploy the mariadb-persistent Helm chart with the specified version and from the given repo URL. We are assuming that the Helm chart is available from the Bitnami repository, which is a common place to find such charts. The values: field in the Chart definition is where you can override default settings with your desired configuration.

    The kubeconfig and the status of the Helm release are exported, which allows you to interact with your cluster using kubectl and verify the status of your MariaDB deployment.

    Before applying this program, make sure you have Pulumi and AWS CLI installed and configured with the appropriate credentials.

    To apply this Pulumi program:

    1. Save the code into a file named index.ts.
    2. Run pulumi up in the directory containing your index.ts file. Pulumi will perform the deployment and show you the progress.
    3. Once applied, you'll see the exported kubeconfig and mariadbStatus, which you can use to interact with your EKS cluster and MariaDB deployment respectively.