Deploy the cloudbeaver helm chart on Opensshift

Question

Pulumi · Accepted Answer

To deploy the CloudBeaver Helm chart on OpenShift using Pulumi, you'll be using the `kubernetes.helm.v3.Chart` class from the Pulumi Kubernetes provider. This class represents a Helm chart installation which is a powerful way to manage Kubernetes applications. Helm allows you to define, install, and upgrade complex Kubernetes applications.

Below, you will find a Pulumi program written in TypeScript that shows how to deploy the CloudBeaver Helm chart in an OpenShift cluster. Before you proceed to the code, make sure you have the following prerequisites in place:

1. You need to have Pulumi CLI installed and set up with the appropriate cloud provider credentials.
2. You should have `kubectl` configured to interact with your OpenShift cluster where you'll be deploying CloudBeaver.
3. Ensure Helm and the CloudBeaver Helm chart repositories are added to your local Helm setup.

The Pulumi program performs the following actions:

- It uses the `kubernetes.helm.v3.Chart` class to define a Helm chart resource for CloudBeaver.
- It specifies the chart name as `cloudbeaver`, which should match the chart name from the repository you're using.
- The `namespace` property specifies the Kubernetes namespace where the chart will be deployed. If the namespace does not exist, you can manage it as a resource too.
- The `values` property is a place where you can override default values in the Helm chart with custom values you require. For CloudBeaver, these could be resource limits, service type, etc.

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

// Create a new instance of the Pulumi Kubernetes provider targeting the OpenShift cluster.
const k8sProvider = new kubernetes.Provider("openshift-provider", {
    // Assuming you have your kubeconfig stored in a file, this is how you would specify it:
    kubeconfig: "<path-to-your-openshift-kubeconfig>",
});

// Define the CloudBeaver Helm chart using the `kubernetes.helm.v3.Chart` class.
const cloudbeaverChart = new kubernetes.helm.v3.Chart("cloudbeaver", {
    chart: "cloudbeaver",
    // Specify the Helm repository where the CloudBeaver chart can be found.
    fetchOpts: {
        repo: "https://helm-repository-containing-cloudbeaver/",
    },
    // Optional: You may explicitly specify the version of the chart.
    version: "chart-version", // replace with specific version if needed
    // Deploy the chart in the 'default' namespace or any other namespace of your choice
    namespace: "default",
    // You can also include values to customize the deployment of the CloudBeaver chart.
    values: {
        // Example of overriding a value: setting the service type to LoadBalancer for external access
        service: {
            type: "LoadBalancer",
        },
    },
}, { provider: k8sProvider }); // Make sure to pass the provider that targets your OpenShift cluster.

// Export the URL for the CloudBeaver service once deployed
export const cloudbeaverUrl = cloudbeaverChart.getResourceProperty(
    "v1/Service", "cloudbeaver", "status").apply(status => status.loadBalancer.ingress[0].hostname);
```

In the above code:

- `kubeconfig` is set to the path of your OpenShift kubeconfig file. This allows Pulumi to communicate with your OpenShift cluster.
- The `repo` under `fetchOpts` should be replaced with the URL of the Helm repository that hosts the CloudBeaver chart.
- Replace `chart-version` with the actual version of the CloudBeaver chart you wish to deploy, or remove this line to deploy the latest version.
- The `service.type` set to `"LoadBalancer"` is just an example of how to override defaults. You will need to customize this to fit the needs of your OpenShift environment and chart version.
- At the end, the `cloudbeaverUrl` is exported to give you the address at which CloudBeaver will be accessible after deployment.
  
Please adapt the configuration to match your specific requirements and CloudBeaver chart's values. Once the code is ready, you can create a new Pulumi project and place this TypeScript code inside your `index.ts` file. To deploy the chart, simply run `pulumi up` with the Pulumi CLI.

After the Pulumi program runs successfully, you will see the URL where CloudBeaver is running, which you can use to access the service from a web browser.