1. Deploy the fluentd-cloudwatch helm chart on Azure Kubernetes Service (AKS)


    To deploy the fluentd-cloudwatch Helm chart on an Azure Kubernetes Service (AKS) cluster using Pulumi, we'll follow these steps:

    1. Set up an AKS cluster: We will deploy a Kubernetes cluster on Azure.
    2. Install the Helm chart: We will deploy the fluentd-cloudwatch chart into our AKS cluster.

    The Pulumi program will use the @pulumi/azure-native package to create an AKS cluster and the @pulumi/kubernetes package to deploy the Helm chart to that cluster.

    Below is a detailed explanation of the Pulumi program in TypeScript that accomplishes these tasks:

    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 Resource Group const resourceGroup = new azure_native.resources.ResourceGroup("myResourceGroup"); // Step 2: Deploy an AKS Cluster // This is a basic AKS cluster with default settings. // You can customize the properties according to your requirements. const cluster = new azure_native.containerservice.ManagedCluster("myAksCluster", { resourceGroupName: resourceGroup.name, agentPoolProfiles: [{ count: 1, maxPods: 110, mode: "System", osType: "Linux", vmSize: "Standard_DS2_v2", name: "agentpool", }], dnsPrefix: "myakscluster", enableRBAC: true, kubernetesVersion: "1.20.7", linuxProfile: { adminUsername: "adminuser", ssh: { publicKeys: [{ keyData: /* Your SSH public key */ }], }, }, sku: { name: "Basic", tier: "Free", }, }); // Step 3: Export the AKS cluster's kubeconfig export const kubeconfig = pulumi. all([cluster.name, resourceGroup.name]). apply(([clusterName, rgName]) => azure_native.containerservice.listManagedClusterUserCredentials({ resourceGroupName: rgName, resourceName: clusterName, }) ). apply(creds => Buffer.from(creds.kubeconfigs[0].value, 'base64').toString()); // Step 4: Use the kubeconfig to create a Provider instance for the AKS cluster const aksK8sProvider = new k8s.Provider("aksK8sProvider", { kubeconfig: kubeconfig, }); // Step 5: Deploy the fluentd-cloudwatch Helm chart into the AKS cluster const fluentdCloudwatchChart = new k8s.helm.v3.Chart("fluentd-cloudwatch", { chart: "fluentd-cloudwatch", version: "0.14.0", // specify the chart version you want to deploy namespace: "kube-system", // deploying the chart under 'kube-system' namespace fetchOpts: { repo: "https://charts.fluent.io", // Helm chart repository } }, { provider: aksK8sProvider }); // Export the URL to access the dashboard export const aksClusterName = cluster.name;

    In the above program:

    • We create an Azure Resource Group which acts as a lifecycle container for the AKS resources.
    • We then deploy an AKS cluster with a single node pool using the ManagedCluster resource. Make sure to replace /* Your SSH public key */ with your actual SSH public key to allow secure SSH access to the nodes.
    • Once our AKS cluster is created, we export the kubeconfig which will allow us to interact with our Kubernetes cluster using Pulumi's k8s package.
    • We define a Provider resource which represents the AKS cluster. This provider is then used by other k8s resources to tell them which cluster to interact with.
    • Finally, we deploy the fluentd-cloudwatch Helm chart using Pulumi's k8s.helm.v3.Chart resource. We specify the chart name, the version, and the Helm repository it can be found in.

    Please ensure you have the Pulumi CLI installed and configured to connect to Azure. Additionally, make sure you have Helm installed if you wish to customize helm charts locally.

    To run this code, save it in a index.ts file and use the Pulumi CLI to create your Pulumi project and stack. After the code is deployed successfully, Pulumi will provide you with the kubeconfig of the AKS cluster and the name of the cluster as outputs.

    The kubeconfig allows you to interact with your cluster using kubectl and the cluster name is a helpful reference that is exported.