1. Deploy the nagios helm chart on Azure Kubernetes Service (AKS)

    TypeScript

    Deploying a Nagios Helm chart on Azure Kubernetes Service (AKS) involves creating an AKS cluster, setting up Helm on your local machine, and deploying the Helm chart to the cluster.

    Let's start by creating an AKS cluster. AKS is a managed Kubernetes service that simplifies the deployment, management, and operations of Kubernetes. Pulumi allows you to define your infrastructure as code and provision it through code.

    Below is a Pulumi program in TypeScript that sets up an AKS cluster which you can use to deploy the Nagios Helm chart. The code uses the azure-native package, which is the native Azure provider for Pulumi. It will:

    1. Set up a resource group, which is a logical container in Azure that holds related resources.
    2. Define an AKS cluster within the resource group.
    3. Configure the cluster with a default node pool.

    After deploying the AKS cluster, you'll need to follow up with configuring kubectl with the appropriate context to connect to your new AKS cluster. Then you can add the Nagios Helm repository and install the Nagios chart.

    Here's the Pulumi program to get started:

    import * as pulumi from "@pulumi/pulumi"; import * as azureNative from "@pulumi/azure-native"; // Create an Azure Resource Group const resourceGroup = new azureNative.resources.ResourceGroup("resourceGroup"); // Create an AKS cluster const aksCluster = new azureNative.containerservice.ManagedCluster("aksCluster", { resourceGroupName: resourceGroup.name, agentPoolProfiles: [{ count: 3, // Number of nodes in the node pool maxPods: 110, // Maximum number of pods per node mode: "System", // System nodes are required for the AKS cluster itself name: "agentpool", // Name of the node pool osDiskSizeGB: 30, // Size of the OS disk osType: "Linux", // Operating system type vmSize: "Standard_DS2_v2", // VM size }], dnsPrefix: "aks-nagios", // DNS prefix for AKS resources enableRBAC: true, // Enable RBAC kubernetesVersion: "1.20.9", // Kubernetes version nodeResourceGroup: `MC_${pulumi.getStack()}_aks-nagios_${resourceGroup.location}`, identity: { // Managed identity configuration type: "SystemAssigned", }, }); // Expose the Kubeconfig for the AKS cluster export const kubeconfig = aksCluster.kubeConfigRaw;

    Before running the above program, ensure you have Pulumi and the required Azure CLI tools installed.

    Here's what each part of the code does:

    • Resource Group: Defines a new resource group for the AKS cluster to reside in.
    • AKS Cluster: Creates a new AKS cluster within the resource group with one node pool with three nodes.
    • Kubeconfig Export: Provides you with the Kubernetes configuration file content needed to connect to your AKS cluster with kubectl.

    After deploying the AKS cluster, you'll need these additional steps to deploy Nagios:

    1. Set up Helm: Helm needs to be installed on your local machine. You can follow the official Helm documentation to install it: Installing Helm.

    2. Configure kubectl: After the AKS cluster is provisioned, use the exported kubeconfig to configure kubectl by saving it to a file and then pointing the KUBECONFIG environment variable to that file.

    3. Add Nagios Helm repository: You add the Helm repository that contains the Nagios chart. You can typically find this with a quick web search for "Nagios helm chart" or if you have a custom Helm chart for Nagios, you'll reference that instead.

    4. Install Nagios Helm chart: With Helm and kubectl configured, use Helm to install the Nagios chart into your AKS cluster. The commands will look something like this, but may need to be adjusted depending on the chart details:

    helm repo add some-repo https://example.com/nagios-helm-charts helm install nagios some-repo/nagios-chart-name

    By following these steps, you will have a running Nagios instance on your AKS cluster managed by Helm. You can then visit the external IP provided by the Nagios service or configure Ingress to access the Nagios UI and start monitoring your Kubernetes cluster.