1. Deploy the mariadb-persistent helm chart on Kubernetes


    Deploying a Helm chart on Kubernetes using Pulumi involves several steps. Here's a breakdown of what you need to do:

    1. Set up a Kubernetes Cluster: Before deploying the Helm chart, you need a running Kubernetes cluster. You can set this up using Pulumi with providers like AWS (EKS), Azure (AKS), Google Cloud (GKE), or any other cloud provider. This example assumes you already have a Kubernetes cluster configured and your kubeconfig file is set up correctly to interact with the cluster.

    2. Install Pulumi: Install Pulumi on your local machine if you haven't done so. Follow the instructions on the Pulumi website for your operating system.

    3. Create a New Pulumi Project: Initialize a new Pulumi project using your preferred language. This example uses TypeScript.

    4. Add the Required Dependencies: Add the necessary Pulumi packages to your project. You need the Pulumi Kubernetes package to deploy resources to your Kubernetes cluster.

    5. Write the Deployment Script: Write a Pulumi program to deploy the mariadb-persistent Helm chart to your cluster.

    Let's go through the actual Pulumi code to deploy the mariadb-persistent Helm chart. Here's a step-by-step TypeScript program:

    import * as k8s from "@pulumi/kubernetes"; // A Pulumi program to deploy the 'mariadb-persistent' Helm chart on a Kubernetes cluster. // First, we created a Helm chart resource by instantiating a new Chart class from the k8s.helm.v3 module, // and provided it with a name, the chart repository (if not from the stable repository), and the name of the chart. const mariadbPersistentChart = new k8s.helm.v3.Chart("mariadb-persistent", { repo: "my-repo", // Replace with the name of the repository hosting the mariadb-persistent chart chart: "mariadb-persistent", version: "version-number", // Replace with the specific chart version you want to deploy // Optionally, you can specify the values to customize the deployment. values: { // Example of custom values - please adjust them according to the MariaDB chart's requirements persistence: { enabled: true, size: "8Gi", }, db: { user: "admin", name: "mydatabase", password: "mypassword", rootPassword: "myrootpassword", }, // ... more custom values can be added here as needed. }, // Specify the namespace if needed, otherwise it will be deployed to the default namespace namespace: "my-namespace", // Replace with your target namespace }); // To access the chart after deployment, you may want to export some information such as the service endpoints. export const mariadbServiceEndpoint = mariadbPersistentChart.getResourceProperty("v1/Service", "mariadb-persistent", "status"); // Run `pulumi up` to deploy the chart to your cluster.

    In the above program:

    • We import the necessary Pulumi Kubernetes module.
    • We create a new instance of Chart which is Pulumi's way of deploying a Helm chart. You need to provide it with the settings that are specific to the mariadb-persistent Helm chart.
    • We export a property of the deployed chart which can be the service endpoint or any other valuable output you need after deployment.

    Please adjust the repo, version, values, and namespace properties to match the specific requirements of your deployment.

    Once you have this script ready, you can run the following commands in your terminal to deploy the MariaDB persistent Helm chart:

    # Login to Pulumi. This can also be done to a local backend if you prefer not to use the Pulumi SaaS offering. pulumi login # Create a new stack for your deployment which is an isolated environment for your infrastructure resources pulumi stack init dev # Install dependencies npm install # Preview and deploy the changes pulumi up

    Please replace repo, version, and values in the Pulumi program with information specific to the MariaDB chart you are deploying. The namespace should be the Kubernetes namespace you wish to deploy into. If you're deploying a chart from a custom Helm repository, ensure you've added that repository to your Helm client configuration.