1. Deploy the ibm-apic-instance helm chart on Opensshift


    To deploy an IBM API Connect (APIC) instance using a Helm chart on an OpenShift cluster via Pulumi, you would typically follow these steps:

    1. Set up your OpenShift cluster: Before you begin, you should have an OpenShift cluster up and running. This is your target deployment environment.

    2. Access to your OpenShift cluster: Make sure you have kubectl configured to access your OpenShift cluster. Pulumi relies on the kubectl configuration to manage and deploy resources to your cluster.

    3. Install Pulumi: If you haven't installed Pulumi, download and install the Pulumi CLI from the Pulumi website.

    4. Create a new project: A Pulumi project is a directory or folder that contains all the files for your Pulumi app. These usually include your Pulumi.yaml file as well as your infrastructure code written in your language of choice.

    5. Install required packages: You will need to install any necessary Pulumi packages, such as @pulumi/kubernetes for managing Kubernetes resources, including Helm charts.

    6. Define the Helm chart: You'll need to define the Helm chart within your Pulumi program. This will reference the ibm-apic-instance chart and specify any required chart values that are needed for deployment.

    Let's turn these steps into a Pulumi TypeScript program.

    First, you'll want to create a new Pulumi project and install the necessary npm package for Kubernetes:

    pulumi new typescript npm install @pulumi/kubernetes

    Then, you can write your TypeScript code. Here is a detailed program that you can use:

    import * as k8s from "@pulumi/kubernetes"; // Define the settings for our Helm Chart. // NOTE: You will need to replace 'CHART_VERSION' with the version number of the chart // and provide values for the 'repo' and 'chart' based on where the IBM APIC Helm chart is located. const apicChart = new k8s.helm.v3.Chart("ibm-apic-instance", { // OpenShift namespaces are equivalent to Kubernetes namespaces namespace: "apic-project", chart: "ibm-apic-instance", version: "CHART_VERSION", // make sure to set the chart version fetchOpts: { repo: "https://charts.example.com/", // replace with the actual Helm repo URL }, // Override default configuration values if necessary values: { // ... any required custom values for IBM APIC instance }, // Transformations if needed, to manipulate resources before they are created transformations: [ // Example transformation (resource) => { if (resource.kind === "Deployment") { // Add custom transformation logic } }, ], }); // Export the base URL of the API Connect service once it's up and running export const apicUrl = apicChart.getResourceProperty("v1/Service", "ibm-apic-instance-apic-service", "status").apply(status => status.loadBalancer.ingress[0].ip);


    • We import the @pulumi/kubernetes package which allows us to interact with Kubernetes resources, including deploying a Helm chart.
    • We create a new Helm chart resource with new k8s.helm.v3.Chart.
    • We specify the namespace to deploy into, the name of the Helm chart (ibm-apic-instance), and other configuration details including the repository where the chart can be found. Please replace CHART_VERSION with the specific version of IBM APIC Helm chart you want to use, and the repo URL with the actual Helm repository URL where the chart is hosted.
    • In the values field, you may override default chart values with those specific to your IBM APIC instance deployment.
    • We're using apicChart.getResourceProperty to look up a particular resource property, in this case the external IP address of the LoadBalancer service which would presumably provide access to the API Connect instance.

    After writing this program, you'd compile it with tsc, and then use pulumi up to deploy it to your OpenShift cluster.

    Please replace placeholder values with your actual chart information and values specific to your deployment. This is a simplified overview and depending on your specific requirements, you might need to provide additional configuration data in the values object.