1. Deploy the rclone-s3 helm chart on Kubernetes

    TypeScript

    To deploy the rclone-s3 Helm chart on Kubernetes using Pulumi, we'll use the kubernetes.helm.v3.Chart class from the Pulumi Kubernetes provider. The Chart class represents a Helm chart in a Pulumi program, which we can deploy to a Kubernetes cluster.

    Below is an explanatory Pulumi TypeScript program to deploy rclone-s3 on Kubernetes:

    1. First, we'll need to define the Helm chart repository that contains the rclone-s3 chart.
    2. Then we'll create an instance of Chart and pass it the required configuration like the chart name, version, and any additional custom values that the chart requires.
    3. Finally, we can export any resulting Kubernetes resources that we would like to access outside of the program, such as a service endpoint or Kubernetes secret.

    Here's a step-by-step Pulumi TypeScript program:

    import * as k8s from '@pulumi/kubernetes'; // Create a Helm Chart resource for the rclone-s3 chart. // This assumes you have the Helm repository added that contains the rclone-s3 chart // and your Kubernetes cluster context is already set up and pointed to by Pulumi. const rcloneS3Chart = new k8s.helm.v3.Chart('rclone-s3', { // Replace this with the actual repository if "stable" does not contain the "rclone-s3" chart. // You can search for Helm charts including rclone-s3 in artifact hub or similar repositories. repo: 'stable', chart: 'rclone-s3', // Specify the version of the chart you want to deploy. Omit to deploy the latest version. version: '1.0.0', // Set values for the Helm chart if needed. Replace `value` with actual configuration values. values: { // These are example values for the chart. You should consult the chart's documentation // for its actual configuration options. accessKeyID: 'your-access-key-id', secretAccessKey: 'your-secret-access-key', bucket: 'your-bucket-name', // Other values can be set here as necessary. }, // Setting this namespace to the one where you want rclone-s3 to be deployed. // If omitted, this will use the default namespace of the current context. namespace: 'default' }); // Export any pertinent values from the Helm chart that you might be interested in. export const rcloneS3ServiceEndpoint = rcloneS3Chart.getResourceProperty( 'v1/Service', 'rclone-s3', 'status' ); // After running `pulumi up`, the service endpoint for the rclone-s3 deployment will be available in the output.

    Make sure you have imported the necessary Pulumi Kubernetes package by running:

    npm install @pulumi/kubernetes

    Before running the pulumi up command to create the resources, you must have Pulumi installed and configured for use with your Kubernetes cluster. You also need a Kubernetes cluster where you have the sufficient permissions to deploy Helm charts. If you need to add a custom Helm repository, you can use helm CLI commands (helm repo add) before running the Pulumi code.

    In the values section, you would replace the placeholders with the actual configuration required by the rclone-s3 chart. It's important to consult the Helm chart's documentation to understand what configuration options are available and required.

    The rcloneS3ServiceEndpoint export is an example of how you could export a service endpoint from your deployment. You may need to adapt this part to fit the actual resources and properties that the rclone-s3 chart creates.

    After you write your Pulumi code, you would run it with the following commands:

    pulumi up

    This command will start the Pulumi deployment process. Pulumi will show you a preview of the changes and, upon confirmation, will apply those changes to deploy the rclone-s3 Helm chart to your Kubernetes cluster.