Deploy the mariadb-persistent helm chart on Opensshift

Question

Pulumi · Accepted Answer

To deploy the mariadb-persistent Helm chart on Openshift using Pulumi, you'll first need to set up your Pulumi project to interact with your Openshift cluster. Assuming you've done that, the program below will deploy the specified Helm chart to your cluster.

The key resource we're using here is `Chart` from Pulumi's `kubernetes` package, which allows us to deploy applications using Helm charts. Helm charts are a great way to package Kubernetes applications, and they allow you to define, install, and upgrade complex Kubernetes applications.

In the following program, we will first import the required Pulumi Kubernetes package. Then we will instantiate a `Chart` resource, which represents a Helm chart deployment. The `Chart` resource takes several important arguments:

- `chart`: The name of the chart, in this case, `mariadb`.
- `version`: The version of the chart. You will need to specify the version you want to deploy; it can be found on the Helm repository or chart documentation.
- `repo`: The Helm chart repository where `mariadb` is located.
- `values`: A set of configuration values that are passed to the Helm chart, which overrides the default settings as needed. For `mariadb-persistent`, you may want to provide values related to persistence, such as storage size and class.
- `namespace`: The Openshift project (namespace) where you want the Helm chart to be deployed.

Note that in a real-world scenario, you should ensure you are connected to your Openshift cluster, and your Pulumi stack is configured correctly for your Openshift environment.

Now, let's write the Pulumi program to deploy the mariadb-persistent Helm chart.

```typescript
import * as k8s from "@pulumi/kubernetes";

// Define the settings for the mariadb-persistent chart.
const mariadbChart = new k8s.helm.v3.Chart("mariadb-persistent", {
  chart: "mariadb",
  version: "x.x.x", // Replace with the desired chart version
  repo: "https://charts.bitnami.com/bitnami",
  namespace: "default", // Replace with the target Openshift project (`namespace`)
  values: {
    // Provide any specific configuration values here.
    // These values will override the default chart values.
    persistence: {
      enabled: true,
      size: "8Gi", // Example size, adjust as necessary.
      storageClass: "my-storage-class" // Replace with your storage class
    },
    // For example, to change the MariaDB root password:
    // mariadbRootPassword: "myRootPassword",
  }
});

// Export the URL for the deployed MariaDB instance, if relevant.
export const mariadbUrl = `jdbc:mariadb://${mariadbChart.getResourceProperty(
  "v1/Service", "mariadb-persistent-mariadb", "status"
).apply(status => status.loadBalancer.ingress[0].ip)}`;
```

Please replace `"x.x.x"` with the actual version of the `mariadb` Helm chart you wish to deploy. You can look up the available versions in the [Bitnami Helm Chart repository](https://charts.bitnami.com/bitnami).

The `values` property is where you can override the different configurable options provided by the Helm chart. For persistent storage, we make sure it's enabled and specify the size and storage class. You might need to tailor these settings to your Openshift cluster's persistent storage configuration.

The last part of the program is an export statement that would give you the URL needed to connect to the MariaDB database once it's deployed. Here, we're assuming that the service is exposed via a LoadBalancer; however, this might not be the case for your Openshift environment, so you might need to adjust the access method (e.g., using a Route or NodePort).

You can deploy this Pulumi program by running `pulumi up` in the same directory as your project files after setting up Pulumi CLI and your Openshift cluster configuration. Make sure to have a Pulumi account and an initialized project with the appropriate stack selected.

Remember, if anything goes wrong during deployment, Pulumi will provide a detailed error message which you can use to debug the issue. Additionally, the Pulumi CLI supports previews (`pulumi preview`), which shows you what the program will do before making any changes to your infrastructure.