1. Deploy the snappass helm chart on Azure Managed Openshift Service


    To deploy the snappass Helm chart on an Azure Managed OpenShift Service, you will first need to set up an Azure Red Hat OpenShift cluster and then deploy the Helm chart onto that cluster. With Pulumi, you manage your infrastructure as code using programming languages like TypeScript. Below, I will guide you through the process step-by-step.

    First, we'll declare the necessary Azure Red Hat OpenShift (ARO) cluster using the azure-native.redhatopenshift.OpenShiftCluster Pulumi resource. Then we'll deploy the snappass Helm chart using the kubernetes.helm.sh/v3.Chart Pulumi resource.

    Here is how you could set this up using TypeScript with Pulumi:

    import * as pulumi from "@pulumi/pulumi"; import * as azure_native from "@pulumi/azure-native"; import * as k8s from "@pulumi/kubernetes"; // Step 1: Create an Azure Red Hat OpenShift cluster const resourceGroupName = "myResourceGroup"; // Replace with your desired resource group name const openshiftClusterName = "myAROCluster"; // Replace with your desired OpenShift cluster name const openshiftCluster = new azure_native.redhatopenshift.OpenShiftCluster(resourceGroupName, openshiftClusterName, { resourceGroupName: resourceGroupName, resourceName: openshiftClusterName, location: "eastus", // Replace with the location you desire // Specify the rest of the required properties as per your configuration needs // For this example, we're not specifying all the required details like networkProfile, etc. // Make sure to follow Azure documentation to specify correct values for cluster creation }); // Step 2: Configure the Kubernetes provider to connect to the newly created OpenShift cluster. const k8sProvider = new k8s.Provider("openshiftK8s", { kubeconfig: openshiftCluster.kubeconfig.apply(JSON.stringify), // Use the kubeconfig output from the cluster }); // Step 3: Deploy the 'snappass' Helm chart onto the OpenShift cluster const snappassChart = new k8s.helm.v3.Chart("snappass", { chart: "snappass", version: "1.0.0", // Replace with the correct chart version you want to deploy namespace: "default", // Specify the namespace where you want to deploy the chart // If 'snappass' chart requires any custom values, define them here // values: { ... } }, { provider: k8sProvider }); // Export the OpenShift cluster's URL to access the deployed Helm chart export const openShiftClusterUrl = openshiftCluster.consoleProfile.apply(profile => profile.url);

    In this program:

    1. We create an instance of Azure Red Hat OpenShift cluster by specifying minimal configuration options. However, in a real-world scenario, you'll need to provide several more configuration options like networkProfile, masterProfile, and workerProfiles which are highly environment-specific. The exact specification of parameters should align with your organization's security, network, and compliance requirements.

      You can find more information about the azure-native.redhatopenshift.OpenShiftCluster resource here.

    2. A k8s.Provider is instantiated with the kubeconfig of the OpenShift cluster, which tells Pulumi how to communicate with your Kubernetes cluster.

    3. We declare a new Helm chart resource for snappass. This will install the Helm chart in the OpenShift cluster under the default namespace. If snappass requires any specific configurations, you can pass them using values. The version property should be set to the version of the snappass Helm chart that you wish to deploy. Ensure that you have this Helm chart available in your Helm repository or configure the repo property to point to the chart's repository URL.

      For further details on Helm chart deployment with Pulumi, check out this link.

    Lastly, we're exporting the URL of the OpenShift cluster's console so that you can access it once the deployment is successful.

    Remember to replace placeholders like myResourceGroup, myAROCluster, and the chart version with the actual values suitable for your deployment.

    Please ensure that you have the Pulumi CLI installed and configured with Azure credentials before running this program. With Pulumi CLI, you would typically run pulumi up to provision the resources as defined in the TypeScript code. This command executes the program, provisions resources in the cloud provider and gives you an output of what has been done.