1. Deploy the pleroma helm chart on Oracle Kubernetes Engine (OKE)


    Deploying a Helm chart onto a Kubernetes cluster, such as the Oracle Kubernetes Engine (OKE), typically involves a few key steps:

    1. Setting up a Kubernetes cluster on the cloud provider.
    2. Configuring access to the cluster for helm commands.
    3. Deploying the Helm chart onto the cluster.

    In this case, you’re interested in deploying a Pleroma Helm chart onto OKE. To achieve this, we'll need to create a Kubernetes cluster using Pulumi, set up any required configurations, and then use Pulumi’s Kubernetes provider to deploy the Helm chart.

    Pulumi features an OCI package (oci) which we can use to spin up an Oracle Kubernetes Engine (OKE) instance. In addition, Pulumi's Kubernetes package (kubernetes) enables us to work with Kubernetes resources including Helm charts.

    Below is an illustrative program written in TypeScript that uses Pulumi to:

    • Create a Kubernetes cluster on Oracle Cloud Infrastructure (OCI).
    • Deploy a Pleroma Helm chart into that Kubernetes cluster.

    Keep in mind that we need both @pulumi/oci and @pulumi/kubernetes packages. Ensure you have them installed using npm:

    npm install @pulumi/oci @pulumi/kubernetes

    Now, here’s what your Pulumi program could look like:

    import * as oci from "@pulumi/oci"; import * as k8s from "@pulumi/kubernetes"; import * as pulumi from "@pulumi/pulumi"; // Define a new Oracle Cloud Infrastructure OKE cluster. const cluster = new oci.ContainerEngine.Cluster("pleOkeCluster", { // Add your configuration for the cluster here. // This will vary based on the specifics required for the Pleroma Helm chart // as well as your Oracle Cloud Infrastructure configuration. }); // Define a Kubernetes provider that uses the generated kubeconfig from the OKE cluster. const provider = new k8s.Provider("okeK8sProvider", { kubeconfig: cluster.kubeconfig.content.apply(JSON.stringify), }); // Deploy the Pleroma Helm chart into our Kubernetes cluster. const pleromaChart = new k8s.helm.v3.Chart("pleroma", { chart: "pleroma", // Replace with the exact chart name or path in your repository. // Optionally, specify the Helm chart version, repository URL, and any custom values: // version: "x.y.z", // repo: "https://example.com/helm-charts", // values: { // // Helm chart values go here. // }, }, { provider }); // Export the URL for the Pleroma service. export const pleromaUrl = pleromaChart.getResourceProperty("v1/Service", "pleroma", "status").apply(status => { const ingress = status.loadBalancer.ingress[0]; if (ingress.ip) { return `http://${ingress.ip}`; } else if (ingress.hostname) { return `http://${ingress.hostname}`; } });

    How the program works:

    • The OCI Kubernetes cluster (oci.ContainerEngine.Cluster) is instantiated, creating a new OKE cluster.
    • The Pulumi Kubernetes provider establishes communication with the new OKE cluster, leveraging its kubeconfig.
    • The k8s.helm.v3.Chart resource is defined to deploy the Pleroma Helm chart to the cluster managed by the OCI provider we instantiated.
    • The pleromaUrl export gives you the address at which Pleroma will be accessible after the deployment.

    Before you run the code:

    Make sure you have the following prerequisites in place:

    • Pulumi CLI installed and configured with the respective Oracle Cloud (OCI) account settings.
    • Oracle Cloud Infrastructure account with permissions to create and manage Kubernetes clusters.
    • Install the required npm packages in your project.

    To run the program:

    1. Save the code above to a index.ts file.
    2. Use the Pulumi CLI to create a new stack, which is an isolated environment for your project:
    pulumi stack init dev
    1. Set the OCI configuration and environment variables as necessary for authentication.
    2. Run pulumi up to execute your Pulumi program.

    Follow the on-screen prompts to examine the changes Pulumi will perform and confirm the deployment. After the deployment completes, you’ll see the pleromaUrl in the list of outputs which you can use to access your Pleroma instance.


    • Always check the requirements and configurations needed by the Pleroma Helm chart you are deploying, especially issues related to persistent storage or specific Kubernetes version constraints.
    • You may need to modify the chart properties with custom values that suit your deployment needs.
    • For a real-world scenario, it's crucial to ensure the appropriate security practices are in place, such as setting up role-based access control (RBAC) and network policies within your cluster.