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

Question

Pulumi · Accepted Answer

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:

```bash
npm install @pulumi/oci @pulumi/kubernetes
```

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

```typescript
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:

```bash
pulumi stack init dev
```

3. Set the OCI configuration and environment variables as necessary for authentication.
4. 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.

#### Note:
- 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.