1. Deploy the redis-sentinel helm chart on Azure Managed Openshift Service


    To deploy the redis-sentinel Helm chart on Azure Managed OpenShift Service using Pulumi, you'll first need to set up an Azure Managed OpenShift cluster and then deploy the Helm chart to that cluster.

    Here's an outline of the steps you'll take in the Pulumi program:

    1. Set up an Azure OpenShift Managed Cluster using the azure-native.containerservice.OpenShiftManagedCluster resource.
    2. Configure Kubernetes provider to connect to the created Azure OpenShift Managed Cluster.
    3. Deploy the redis-sentinel Helm chart to the OpenShift cluster using the kubernetes.helm.v3.Chart resource.

    Below is a detailed TypeScript program that performs these steps. Before you run the program, ensure that you have authenticated with Azure and have the correct permissions to create resources in your subscription.

    import * as pulumi from "@pulumi/pulumi"; import * as azure from "@pulumi/azure-native"; import * as k8s from "@pulumi/kubernetes"; // Step 1: Create an Azure OpenShift Managed Cluster const openshiftCluster = new azure.containerservice.OpenShiftManagedCluster("openshiftCluster", { // The required properties like location, resourceGroupName, and openShiftVersion need to be provided. // Replace the placeholder values with the specific details for your deployment. resourceGroupName: "<Your Azure Resource Group Name>", location: "<Azure Region, e.g. EastUS>", openShiftVersion: "4.3", // Specify the OpenShift version you want to use // You'll need to specify other details like agent pool profiles, network profile, etc. // Refer to the Azure documentation for the specifics: https://www.pulumi.com/registry/packages/azure-native/api-docs/containerservice/openshiftmanagedcluster/ }); // Step 2: Configure the Kubernetes provider to connect to the created OpenShift cluster const k8sProvider = new k8s.Provider("openshiftK8s", { kubeconfig: openshiftCluster.kubeConfigRaw, }); // Step 3: Deploy the `redis-sentinel` Helm chart to the OpenShift cluster const redisSentinelChart = new k8s.helm.v3.Chart("redis-sentinel", { chart: "redis", version: "<Chart Version>", // Specify the version of the Helm chart you want to deploy fetchOpts:{ repo: "https://charts.bitnami.com/bitnami", // URL of the Helm repository }, values: { sentinel: { enabled: true, }, // Additional custom values can be placed here as necessary. }, }, { provider: k8sProvider }); // Export the kubeConfig and the Redis service endpoint export const kubeConfig = openshiftCluster.kubeConfigRaw; export const redisSentinelEndpoint = pulumi.interpolate`${redisSentinelChart.getResourceProperty("v1/Service", "redis-master", "status").apply(status => status.loadBalancer.ingress[0].ip)}`;

    In the above program:

    • Replace <Your Azure Resource Group Name> and <Azure Region, e.g. EastUS> with the appropriate values for your deployment.
    • The kubeConfig from the OpenShift cluster is used to configure the Kubernetes provider; this allows Pulumi to interact with your OpenShift cluster.
    • The redis-sentinel chart is fetched from the Bitnami Helm repository, one of the well-known repositories for Helm charts. Please replace "<Chart Version>" with the specific version of the chart that you want to deploy.
    • Custom values for the Helm chart are provided in the values section of Chart resource. Here a minimal configuration is provided, but you might need to specify other details depending on your specific requirements.
    • The service endpoint for Redis is exported, which will display as an output once the Pulumi program has been executed. This endpoint is the IP address you can use to connect to the Redis service.

    To run the above program, save it as index.ts, make sure you have installed Pulumi CLI and configured it for Azure, and then execute the following commands:

    pulumi stack init dev pulumi up

    Pulumi will then show you a preview of the resources that will be created and, upon confirmation, it will provision those resources within your Azure subscription.