1. Deploy the gitea-operator helm chart on Kubernetes


    To deploy the gitea-operator Helm chart on a Kubernetes cluster using Pulumi, we'll use the kubernetes.helm.v3.Chart resource. This resource allows us to specify the details of the Helm chart we want to deploy, such as the repository where the chart is housed, the name of the chart, and any custom values we want to pass to our Helm chart to customize the deployment.

    Before we dive into the Pulumi code, you need to ensure that you have the following prerequisites set up and configured:

    1. A Kubernetes cluster where you will deploy the Gitea Helm chart.
    2. Pulumi CLI installed and configured to manage resources on that Kubernetes cluster.
    3. Helm installed locally if you need to inspect or fetch Helm charts details.

    Below is a Pulumi TypeScript program that demonstrates how to deploy the Gitea chart:

    import * as k8s from "@pulumi/kubernetes"; // Replace the following variables with your own chart details const chartRepoUrl = "https://dl.gitea.io/charts/"; // The repository where the Gitea chart is located. const chartVersion = "2.1.0"; // The version of the chart to deploy. Ensure this is compatible with your cluster. const releaseName = "gitea-operator"; // A name for the Helm release. const namespace = "gitea"; // The Kubernetes namespace where Gitea will be deployed. // Create a new Kubernetes namespace for Gitea if it doesn't exist const ns = new k8s.core.v1.Namespace("gitea-namespace", { metadata: { name: namespace }, }, { protect: true }); // `protect: true` prevents accidental deletion of the namespace. // Deploy the Gitea Helm chart const giteaChart = new k8s.helm.v3.Chart(releaseName, { chart: "gitea", version: chartVersion, fetchOpts: { repo: chartRepoUrl, }, namespace: namespace, }, { dependsOn: [ns] }); // Specify that the Helm chart depends on the namespace creation. export const giteaChartStatus = giteaChart.status; // Run `pulumi up` to start the deployment

    Note: You might need to review and customize the values according to your requirements. For instance, you may need to set specific configurations that are unique to your Gitea setup. These values can be passed to the Helm chart through the values property within the k8s.helm.v3.Chart resource.

    Let's discuss the important parts of the code above:

    1. We start by importing the necessary Pulumi Kubernetes package.
    2. We define some configuration variables such as the Helm chart repository URL, the chart version, the release name, and the namespace.
    3. We create a Kubernetes namespace for our Gitea instance. Namespaces allow you to partition resources into logically named groups, which can provide scope for resource naming and resource security.
    4. We then declare the Gitea Helm chart resource, specifying the necessary details like the chart's name, version, and repository URL. Additionally, the namespace property targets the deployment to our previously defined namespace.
    5. The dependsOn option ensures that the Helm chart deployment waits for the namespace to be created before it proceeds.
    6. We export the status of our Helm deployment as a stack output. Stack outputs can provide important information after the program is executed, such as service endpoints or login credentials.

    To deploy this chart, you'll need to have Pulumi and kubectl installed and configured for your Kubernetes cluster. Then you can save the code to a file, e.g., index.ts, and execute it using the pulumi up command in the same directory. Pulumi will handle the deployment and provide you with an output of the Helm chart status.

    Remember that if you have any custom configurations for your Helm chart, you can specify them in the values property of the k8s.helm.v3.Chart resource. It's a good practice to check the chart's values.yaml file or its documentation to understand all the configurable options available.