1. Deploy the hive-server helm chart on Azure Kubernetes Service (AKS)


    To deploy the hive-server Helm chart on Azure Kubernetes Service (AKS), we'll go through the following steps:

    1. Set up an Azure AKS cluster using Pulumi with the azure-native provider.
    2. Install the Helm chart on the AKS cluster.

    We'll use the azure-native provider because it allows us to work directly with Azure resources using Pulumi. Setting up an AKS cluster involves creating a resource group, defining the AKS cluster itself, and then configuring the necessary role-based access controls (RBAC) and Kubernetes settings.

    Once the AKS cluster is provisioned, we will install the hive-server Helm chart onto our cluster. Pulumi's helm.v3.Chart resource from the @pulumi/kubernetes package allows us to install Helm charts on a Kubernetes cluster.

    Here is the Pulumi program in TypeScript to deploy the AKS cluster and install the hive-server Helm chart:

    import * as pulumi from '@pulumi/pulumi'; import * as azure_native from '@pulumi/azure-native'; import * as k8s from '@pulumi/kubernetes'; // Create a resource group for the AKS cluster. const resourceGroup = new azure_native.resources.ResourceGroup('myResourceGroup'); // Create an AKS cluster. const aksCluster = new azure_native.containerservice.ManagedCluster('myAksCluster', { resourceGroupName: resourceGroup.name, // Define other properties as required for the AKS cluster such as location, node pool sizes, etc. }); // Export the Kubeconfig of the AKS cluster to connect to the cluster using kubectl or Pulumi Kubernetes provider. export const kubeconfig = pulumi .all([resourceGroup.name, aksCluster.name]) .apply(([rgName, clusterName]) => azure_native.containerservice.listManagedClusterUserCredentials({ resourceGroupName: rgName, resourceName: clusterName, }), ) .apply(creds => { // Safely extract the kubeconfig from the credentials. const encoded = creds.kubeconfigs[0].value; if (!encoded) { throw new Error('Kubeconfig not found in the credentials'); } return Buffer.from(encoded, 'base64').toString(); }); // Create a Kubernetes provider instance using the above Kubeconfig. const k8sProvider = new k8s.Provider('myK8sProvider', { kubeconfig: kubeconfig, }); // Deploy the `hive-server` Helm chart using the Pulumi Kubernetes provider. const helmChart = new k8s.helm.v3.Chart( 'hive-server', { chart: 'hive-server', // Define any custom values for your Helm chart. // For example, to set a service type to 'LoadBalancer', you can uncomment and modify below: // values: { // service: { // type: 'LoadBalancer' // } // }, }, { provider: k8sProvider }, ); // Export the public endpoint of the hive-server if it is exposed via a LoadBalancer service. export const hiveServerPublicEndpoint = helmChart.getResourceProperty( 'v1/Service', 'hive-server', 'status', ).apply(status => status.loadBalancer.ingress[0]?.ip || 'Not assigned');

    This Pulumi program performs the following actions:

    1. It creates a new Azure resource group to organize all resources related to the AKS cluster.
    2. It provisions an AKS cluster within the resource group. You might need to fill in additional details such as the number of nodes, VM size, and other configurations depending on your needs.
    3. It retrieves the kubeconfig for the newly created AKS cluster, which is necessary to connect to your Kubernetes cluster.
    4. It creates a Pulumi Kubernetes provider that uses the kubeconfig, enabling Pulumi to interact with your AKS cluster.
    5. It then deploys a Helm chart named hive-server. You may have to specify the correct Helm chart URL or chart version if it is not in the default Helm repository or requires a specific version.
    6. Finally, if your hive-server service is exposed to the internet via a LoadBalancer, the program exports the public endpoint address.

    Please ensure that you have Pulumi CLI installed and configured with your Azure account. Moreover, you should modify the AKS cluster resource properties to fit the hive-server requirements and any other specific configuration needs you might have. If this is a production environment, you would also handle secrets, such as the kubeconfig, more securely rather than exporting them as shown above.