1. Deploy the rabbitmq-helm-chart helm chart on Opensshift


    To deploy the RabbitMQ Helm Chart on an OpenShift cluster, you'll be using Pulumi's Kubernetes provider. Pulumi provides a Chart resource as part of their Kubernetes provider, which is designed to work with Helm charts. The Chart resource allows you to deploy Helm charts into a Kubernetes cluster from within a Pulumi program.

    Here’s a step-by-step explanation followed by the code to deploy the RabbitMQ Helm Chart:

    1. Import necessary dependencies: Import Pulumi's Kubernetes package to interact with your Kubernetes cluster and deploy resources.

    2. Create a Kubernetes provider instance: This is necessary if you’re interacting with a cluster that is not the default configured in your kubeconfig file.

    3. Deploy RabbitMQ using Chart resource: You will instantiate a Chart resource from Pulumi's Kubernetes provider. You'll need to specify the necessary parameters which include the chart name (rabbitmq), and the repository where the chart can be found.

      Please note that before running this Pulumi program, you should have access to an OpenShift cluster and have the kubectl CLI tool configured to communicate with it. Pulumi will use the configuration from kubectl to interact with your OpenShift cluster.

    4. Export desired outputs: After deployment, export any outputs you might need, like the service URL or any other relevant information.

    Remember that Helm charts can have configurable values, and you may need to customize these values as per your requirements. You can specify these values in the values property of the Chart.

    Now, let's see the Pulumi TypeScript code that would achieve this:

    import * as k8s from "@pulumi/kubernetes"; // Assuming you have set up and selected the OpenShift context in your kubeconfig, // Pulumi will use that context to create the following resources. const chartName = "rabbitmq"; const chartVersion = "8.11.0"; // Use the chart version you need const releaseName = "rabbitmq-release"; // Set a release name for the helm chart // Deploy RabbitMQ Helm Chart const rabbitmqChart = new k8s.helm.v3.Chart(releaseName, { chart: chartName, version: chartVersion, fetchOpts: { repo: "https://charts.bitnami.com/bitnami", }, values: { // Here you can provide custom values for the RabbitMQ Helm Chart, // for example: // replicaCount: 3, // persistence: { // enabled: true, // storageClass: "my-storage-class" // }, // You will need to refer to the chart's values.yaml file to get the // correct key/value pairs for configuration }, // Note: If your OpenShift cluster uses a specific namespace for deployments, // you should specify the `namespace` property in this resource. }); // Export the endpoint of RabbitMQ export const rabbitmqEndpoint = rabbitmqChart.getResourceProperty( "v1/Service", `${releaseName}-${chartName}`, "status" ).apply(status => status.loadBalancer.ingress[0].ip || status.loadBalancer.ingress[0].hostname);

    In this code:

    • @pulumi/kubernetes is the Pulumi Kubernetes package that allows you to write code to interact with Kubernetes resources.
    • rabbitmqChart is an instance of the Chart resource which references the RabbitMQ Helm chart.
    • The fetchOpts configures where Pulumi should fetch the chart from—in this case, the Bitnami Helm repository.

    Once this program is executed with Pulumi, it should deploy RabbitMQ onto your OpenShift cluster. You can tweak the values property to fine-tune your RabbitMQ setup based on the RabbitMQ chart's values.yaml.

    Before you run this Pulumi program, make sure you have Pulumi installed and the OpenShift CLI tool oc configured for access to your OpenShift cluster. You may also need to log in to your cluster (using oc login or via kubectl) so that Pulumi can use those credentials to create resources on your behalf.

    Finally, execute your Pulumi program through the command line as follows:

    pulumi up

    This will start the deployment process. Follow the prompts Pulumi provides to apply the changes. Once completed, the RabbitMQ Helm chart will be deployed to your OpenShift cluster.