Deploy the ibm-cp4d-data-virtualization-instance helm chart on Linode Kubernetes Engine
TypeScriptTo deploy the IBM Cloud Pak for Data (cp4d) Data Virtualization instance using a Helm chart on the Linode Kubernetes Engine (LKE), you will first need to ensure you have a Kubernetes cluster running on LKE. After creating your cluster on Linode, you'll then use Pulumi to deploy the Helm chart for IBM cp4d Data Virtualization.
Before you begin, you should have the following prerequisites ready:
- Linode account - to create and manage Kubernetes clusters on the Linode platform.
- Pulumi account and CLI installed on your local machine - for infrastructure as code management.
- kubectl CLI - to interact with Kubernetes clusters.
- Helm CLI - to manage Helm chart deployments.
In the provided Pulumi program, we will:
- Set up our Kubernetes provider to point to the Linode Kubernetes Engine cluster.
- Use the
kubernetes.helm.v3.Chart
resource to deploy the IBM cp4d Data Virtualization Helm chart.
The first thing to ensure is that you have configured your
kubectl
to point to the Linode Kubernetes Engine so that Pulumi can interact with it. You can configure it using Linode's own documentation and dashboard facilities.Once
kubectl
is configured, install Pulumi TypeScript SDK and write the following Pulumi program, which describes the deployment of the chart:import * as k8s from "@pulumi/kubernetes"; // Initialize a Kubernetes provider with the context from your Linode Kubernetes cluster const provider = new k8s.Provider("linode-k8s", { // Assuming you have configured the kubeconfig file for Linode on your machine. // Pulumi will use this to communicate with your Kubernetes cluster. kubeconfig: process.env.KUBECONFIG, }); // Define the helm chart for IBM cp4d Data Virtualization const cp4dDataVirtualizationChart = new k8s.helm.v3.Chart("ibm-cp4d-data-virtualization", { chart: "ibm-cp4d-data-virtualization", // Specify the version of the chart if necessary; omit to get the latest version: "1.2.3", // Replace with the actual chart version // Add the repository where the chart can be found fetchOpts: { repo: "https://charts.example.com/", // Replace with actual repository URL }, // Define any custom values for the deployment values: { // Specify any values that customize your IBM cp4d Data Virtualization deployment // It's a mocked example, you will need to know the actual customizable values for the chart }, }, { provider }); // Export the endpoint to access IBM cp4d Data Virtualization export const cp4dEndpoint = cp4dDataVirtualizationChart.getResourceProperty("v1/Service", "ibm-cp4d-service", "status");
Replace
chart
,version
, andrepo
with the correct Helm chart information for IBM cp4d Data Virtualization. These are typically provided by the software vendor or within the Helm chart’s documentation.Additionally, you may need to provide a set of custom values that configure your deployment. These values are highly dependent on the Helm chart in question and the specific configuration needs of your deployment. They are typically provided in a
values.yaml
file or can be set directly in thevalues
section of the chart resource in the Pulumi program.To deploy this, run the following Pulumi CLI commands:
pulumi up
This command will prompt you to review the changes and confirm them. Once the deployment is successful, Pulumi will output any exported endpoints or other relevant information about the deployed resources.
Keep in mind that this program is a general structure for deploying a Helm chart. The specifics of the chart and its configuration options will vary greatly, so consult the chart's documentation for the exact usage and configuration details.