1. Deploy the cluster-redis helm chart on Azure Kubernetes Service (AKS)


    To deploy the cluster-redis Helm chart on an Azure Kubernetes Service (AKS) cluster using Pulumi, we will follow these steps:

    1. Set up an AKS Cluster: First, we create an AKS cluster where our Helm chart will be deployed.
    2. Install the Helm chart: Once we have the Kubernetes cluster, we will use Pulumi's Chart resource which allows us to deploy Helm charts.

    Here's a detailed walkthrough of the code you will use to accomplish this, written in TypeScript using Pulumi.

    Program Explanation

    Create an AKS Cluster

    We start by importing the necessary Pulumi libraries for Azure and Kubernetes. Then, we define an AKS cluster. This part involves setting up configurations like the location, node count, and VM size for the nodes in the AKS cluster.

    Deploy Helm Chart on AKS

    Once the cluster is ready, we install the cluster-redis Helm chart. We use the Chart resource from the @pulumi/kubernetes package that Pulumi provides to declare Helm charts in a Pulumi program.

    Accessing the Kubernetes Configuration

    To interact with the AKS cluster, we need the kubeconfig, which is an output from the AKS cluster creation. We pass this configuration to the Helm chart so that it knows where to install the Redis instance.

    Pulumi Program

    Now, let's write the complete Pulumi program to deploy cluster-redis on AKS.

    import * as pulumi from "@pulumi/pulumi"; import * as azure from "@pulumi/azure"; import * as k8s from "@pulumi/kubernetes"; // Create an AKS cluster. const aksCluster = new azure.containerservice.KubernetesCluster("my-aks-cluster", { resourceGroupName: azureResourceGroupName, location: location, defaultNodePool: { name: "aksagentpool", nodeCount: 2, vmSize: "Standard_DS2_v2", }, dnsPrefix: `${pulumi.getStack()}-kube`, identity: { type: "SystemAssigned", }, }); // Export the kubeconfig. const kubeconfig = aksCluster.kubeConfigRaw; // Create a Kubernetes provider instance that uses our kubeconfig. const k8sProvider = new k8s.Provider("k8s-provider", { kubeconfig: kubeconfig, }); // Deploy the `cluster-redis` Helm chart. const redisChart = new k8s.helm.v3.Chart("cluster-redis", { chart: "redis", version: "10.5.7", fetchOpts: { repo: "https://charts.bitnami.com/bitnami", }, // Values from the `values.yaml` file can be provided here. values: { cluster: { enabled: true, }, // Include any additional configuration here }, }, { provider: k8sProvider }); // Export the frontend IP of the `cluster-redis` service. export const redisFrontendIp = redisChart.getResourceProperty("v1/Service", "cluster-redis-master", "status") .apply(status => status.loadBalancer.ingress[0].ip);

    In the redisChart declaration, you must replace the chart and version properties with the appropriate values for the cluster-redis chart you wish to deploy. Also, make sure to adjust the values property to match the configuration that you wish for your Redis cluster deployment.

    Running the Program

    Install Pulumi CLI and authenticate. Make sure you have an Azure account and the Azure CLI installed and configured.

    1. Create a new Pulumi project and set the appropriate stack, for example, dev.
    pulumi new azure-typescript
    1. Replace the contents of index.ts with the code provided above.

    2. Run npm install to install the dependencies.

    npm install @pulumi/pulumi @pulumi/azure @pulumi/kubernetes
    1. Run pulumi up to create the resources on Azure.
    pulumi up

    Upon successful completion, your AKS cluster will be running, and the cluster-redis Helm chart will be deployed within it.

    Please note that the specific version and Helm repository I used in the code are illustrative, and you might need to choose the particular version and source repository of cluster-redis that best suits your needs.