Deploy the ibm-db2 helm chart on Oracle Kubernetes Engine (OKE)

Question

Pulumi · Accepted Answer

To deploy the IBM DB2 Helm chart on Oracle Kubernetes Engine (OKE), you'll need to follow these steps:

1. Set up an OKE cluster, which will be the Kubernetes environment where your Helm chart will be deployed.
2. Ensure you have OCI (Oracle Cloud Infrastructure) configured with the necessary permissions and credentials.
3. Use the Helm package provided by Pulumi's Kubernetes provider to deploy the IBM DB2 chart on your OKE cluster.

Below, you'll find a Pulumi program written in TypeScript that demonstrates how to complete these tasks. The program assumes you have your OKE cluster information and OCI credentials already set up.

Firstly, the program utilizes the `oci.ContainerEngine.Cluster` resource to represent the Oracle Kubernetes Engine cluster. This could be used if you need to create a new OKE cluster; however, if you already have an existing cluster, you would use its details in the `kubernetes.Provider` instantiation instead.

Then, it uses the `kubernetes.helm.v3.Chart` resource to deploy the IBM DB2 Helm chart on the OKE cluster. This resource is responsible for fetching the Helm chart from the specified repository and deploying it in the cluster supplied via the `kubernetes.Provider`.

Keep in mind that for the IBM DB2 Helm chart to be available for deployment, it must exist in a Helm repository that is accessible from your Kubernetes cluster. If the chart requires custom configuration values, these can be supplied within the `values` property of the Helm chart resource.

Now, let's go through the Pulumi program:

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

// Step 1: Referencing an OKE cluster. Replace 'clusterId' with your own OKE cluster identifier.
const cluster = oci.containerengine.getCluster({
    id: 'clusterId', // Update this with your actual cluster ID.
});

// Step 2: Using a Kubernetes provider to interact with the OKE cluster.
// This configuration assumes you have the appropriate kubeconfig for OKE.
const provider = new k8s.Provider('oke-k8s', {
    kubeconfig: cluster.kubeconfig, // Retrieve the kubeconfig from the OKE cluster.
});

// Step 3: Deploying the IBM DB2 Helm chart using the Helm provider.
const db2Chart = new k8s.helm.v3.Chart('ibm-db2', {
    chart: 'ibm-db2',
    repo: 'path-to-your-ibm-db2-helm-repo', // Update with the correct repository URL or name.
    values: {
        // These are placeholder values; you will need to supply the appropriate values for IBM DB2.
        // For example:
        // license: 'accept',
        // databaseName: 'testdb',
        // storage: {
        //     capacity: '10Gi',
        //     class: 'oci-bv', // Set to the correct storage class for your OKE.
        // },
    },
    // Set other necessary Helm chart properties as required.
}, { provider: provider });

// Exposing what resources were created.
export const chartName = db2Chart.chart;
```

In this program, replace `'clusterId'` with your actual OKE cluster ID, and `'path-to-your-ibm-db2-helm-repo'` with the URL or name of the Helm repository where the IBM DB2 chart is hosted. Additionally, replace the values object with the specific configuration required for the IBM DB2 Helm chart installation.

Please ensure to replace the placeholder values with actual data that corresponds to your IBM DB2 chart configuration, OKE cluster information, and OCI credentials.

After following these steps and creating this Pulumi program, you can deploy it using the Pulumi CLI. The necessary commands will be `pulumi up` to create the resources, `pulumi stack output` to check any exported outputs like the chart name if needed, and `pulumi destroy` if you want to tear down the resources later.

Additionally, you'll require the necessary OCI and Kubernetes access setup to make sure Pulumi can manage resources in OCI and OKE. This would typically involve creating a Service Account in OCI with the appropriate permissions and configuring `kubectl` to be authenticated against the Oracle Kubernetes Engine.