1. Deploy the pleroma helm chart on Azure Kubernetes Service (AKS)


    To deploy the Pleroma Helm chart on Azure Kubernetes Service (AKS), you're going to perform the following high-level steps using Pulumi:

    1. Create a new AKS cluster or configure Pulumi to use an existing one.
    2. Deploy the Pleroma Helm chart to the AKS cluster.

    Here is a detailed program written in TypeScript to accomplish this task:

    Firstly, we need to set up an AKS cluster. In the case that you do not already have a cluster, the following example creates a new one. If you have an existing cluster, you would skip the cluster creation and configure Pulumi with the existing cluster credentials.

    Secondly, we will use the Helm chart resource to deploy Pleroma to the AKS cluster. The Helm chart for Pleroma can be found in its official repository, and for the purpose of deployment, we need to reference it in our program.

    Now let's go through the program step by step. Make sure you have Pulumi installed and your Azure provider configured with the appropriate credentials.

    import * as azure from "@pulumi/azure"; import * as k8s from "@pulumi/kubernetes"; import * as pulumi from "@pulumi/pulumi"; // Create an AKS cluster. const cluster = new azure.containerservice.KubernetesCluster("aksCluster", { // Provide the required attributes here. For example: // resourceGroupName: resourceGroup.name, // dnsPrefix: `${pulumi.getStack()}-kube`, // agentPoolProfiles: [{ // name: "type1", // count: 2, // vmSize: "Standard_B2ms", // }], // servicePrincipal: { // clientId: "clientId", // clientSecret: "clientSecret", // }, // You can find more details in the Azure documentation: // https://www.pulumi.com/registry/packages/azure/api-docs/containerservice/kubernetescluster/ }); // Export the kubeconfig for the cluster export const kubeconfig = cluster.kubeConfigRaw; // Create a Kubernetes provider instance that uses our kubeconfig const k8sProvider = new k8s.Provider("k8sProvider", { kubeconfig: cluster.kubeConfigRaw, }); // Deploy the Pleroma Helm chart const pleromaChart = new k8s.helm.v3.Chart("pleroma", { chart: "pleroma", version: "YourPleromaChartVersion", // Specify the version of Pleroma Helm chart you intend to deploy fetchOpts:{ repo: "YourPleromaHelmChartRepoUrl", // The URL for the repository where your Pleroma chart is located }, }, { provider: k8sProvider }); // Export the Pleroma service endpoint export const pleromaService = pleromaChart.getResourceProperty( "v1/Service", "pleroma", "status", );


    • We start by importing the necessary modules from Pulumi, specifically Azure for managing Azure resources, Kubernetes for interacting with the cluster, and Pulumi itself.
    • Then, we create a new AKS cluster with the azure.containerservice.KubernetesCluster resource. This should be customized with specific details about your desired cluster.
    • We export the raw kubeconfig of our newly created cluster, which is needed to interact with the Kubernetes API.
    • Using the kubeconfig, we instantiate a new Pulumi Kubernetes provider. This allows Pulumi to perform actions on the Kubernetes cluster.
    • Next, we use the k8s.helm.v3.Chart resource to deploy the Pleroma Helm chart to our Kubernetes cluster. You'll need to specify the version of the chart and the URL of the Helm chart repository.
    • Finally, we export the service endpoint of the Pleroma deployment using getResourceProperty, which allows us to query Kubernetes resources.

    To run this Pulumi program, save the code to a file named index.ts, and then execute the following commands:

    1. pulumi stack init to create a new stack if you haven't already done so.
    2. pulumi up to create the resources as specified by the program.

    Pulumi will perform the deployment, and if successful, it will output the service endpoint. Please note that you must replace "YourPleromaChartVersion" and "YourPleromaHelmChartRepoUrl" with the actual values for your Pleroma Helm chart. Additionally, fill in the commented parts of the cluster creation with your own details.