1. Deploy the grafana-agent-flow-mixin helm chart on Azure Managed Openshift Service


    To deploy the Grafana Agent Flow Mixin Helm chart on an Azure Managed OpenShift Service using Pulumi, you'll need to follow these steps:

    1. Set up an Azure Managed OpenShift Cluster, which is a Kubernetes-conformant cluster backed by Microsoft's support and an SLA.
    2. Install the Helm chart for Grafana Agent Flow Mixin onto your OpenShift Cluster.

    For this guide, I'll assume you've already logged into Azure and set up the pulumi CLI with the necessary credentials.

    Step 1: Set up an Azure OpenShift Cluster

    It's crucial to note that setting up an Azure Managed OpenShift cluster can be a complex process, involving networking and security configurations that could be specific to your organization’s needs. I will outline the basic structure for creating an OpenShift cluster using Pulumi's azure-native package. You should tailor the configuration to your specific requirements.

    Step 2: Deploy the Helm Chart

    Once the OpenShift Cluster is running, you'll deploy the Grafana Agent Flow Mixin Helm chart using Pulumi's kubernetes provider, which allows you to manage Kubernetes resources, including Helm charts.

    Below is a Pulumi program written in TypeScript that outlines the process:

    import * as azure from "@pulumi/azure-native"; import * as k8s from "@pulumi/kubernetes"; import * as pulumi from "@pulumi/pulumi"; // Define the OpenShift cluster configuration const clusterName = "grafana-openshift-cluster"; const resourceGroupName = new azure.core.ResourceGroup("resourceGroup", { resourceName: "grafanaResourceGroup", }); const openshiftCluster = new azure.containerservice.OpenShiftManagedCluster(clusterName, { resourceName: clusterName, resourceGroupName: resourceGroupName.name, location: resourceGroupName.location, // You can choose the location openShiftVersion: "4.3", // Choose the appropriate version // Define the network, agent pool profiles, and other required fields as per your organization's needs // The below values are placeholders and need to be adjusted. networkProfile: { vnetCidr: "", }, masterPoolProfile: { name: "master", count: 3, vmSize: "Standard_D4s_v3", } // ... other necessary configuration values }, { dependsOn: [resourceGroupName] }); // Create a Kubernetes provider instance using the OpenShift cluster's kubeconfig const k8sProvider = new k8s.Provider("k8sProvider", { kubeconfig: openshiftCluster.kubeconfig, }); // Define the Helm chart for Grafana Agent Flow Mixin const grafanaChart = new k8s.helm.v3.Chart("grafana-agent-flow-chart", { chart: "grafana-agent-flow-mixin", version: "0.1.0", // Specify the chart version if necessary fetchOpts: { repo: "https://grafana.github.io/helm-charts", // The repository containing the chart }, // Set values that configure the Grafana Agent Flow as required values: { // ... configuration values for the chart }, }, { provider: k8sProvider }); // Export the Grafana dashboard URL (replace 'serviceName' with the appropriate service name from the helm chart) const grafanaService = grafanaChart.getResource("v1/Service", "serviceName"); export const grafanaDashboardUrl = pulumi.interpolate `http://${grafanaService.status.loadBalancer.ingress[0].ip}`;

    Here's a brief explanation of what this program does:

    • It starts by creating a new resource group for your Azure Managed OpenShift Cluster.
    • It then sets up an OpenShift cluster with a specified version and other mandatory configurations.
    • The program creates a Kubernetes provider using the kubeconfig information from the deployed OpenShift Cluster to interact with Kubernetes resources.
    • Using the Kubernetes provider, it deploys the Grafana Agent Flow Mixin Helm chart to the cluster, with placeholder values that you need to replace based on the Helm chart requirements.
    • Lastly, the program exports the URL for the Grafana dashboard service, assuming that the Helm chart creates a LoadBalancer service for Grafana.

    Please remember, the actual values for the OpenShift cluster configuration and Grafana Helm chart need to be derived from your actual requirements and the chart's documentation. The resource names like serviceName need to match those defined in the Grafana Helm chart.

    For more detailed information on Pulumi resources, refer to the Pulumi API Documentation: