1. Deploy the pg-db helm chart on Azure Kubernetes Service (AKS)

    TypeScript

    Deploying a PostgreSQL database using a Helm chart onto an Azure Kubernetes Service (AKS) cluster involves several steps. You'll need to provision an AKS cluster first, then deploy the Helm chart to the cluster. Below we will walk through this process using Pulumi in TypeScript.

    Provision an Azure Kubernetes Service (AKS) Cluster

    We'll start by provisioning an AKS cluster. To do this, we use azure-native resources which provide native Azure provider support with Pulumi. For this example, make sure you have the necessary Azure credentials configured for Pulumi to use.

    1. ProvisionedCluster: This resource represents an AKS cluster in Azure. We'll configure properties like node count, VM size, and Kubernetes version here.

    2. Identity: AKS can use Azure AD for identity services. So, you may wish to configure an identity for your cluster. Here we use a SystemAssigned identity for simplicity.

    3. AgentPool: This represents the node pool for the AKS cluster where your workloads will run. You can configure the size of nodes and the number of nodes in the pool.

    Deploy a Helm Chart to AKS

    Once the AKS cluster is up and running, we will deploy the PostgreSQL (pg-db) Helm chart.

    1. Chart: This resource represents a Helm chart deployment in Kubernetes. Pulumi's Kubernetes provider can deploy charts from a Helm repository, or from a local path if the Chart is packaged locally.

    We use the kubernetes provider to interact with AKS to deploy resources to it, which includes the Helm chart in this case.

    Let's put it all together with the program below, which will create the AKS cluster and then deploy the PostgreSQL database using the Helm chart:

    import * as pulumi from "@pulumi/pulumi"; import * as azure_native from "@pulumi/azure-native"; import * as k8s from "@pulumi/kubernetes"; // Create an AKS cluster const aksCluster = new azure_native.containerservice.ManagedCluster("aksCluster", { // Make sure to provide the appropriate location and resource group name location: "East US", resourceGroupName: "pulumi-aks-rg", agentPoolProfiles: [{ count: 3, maxPods: 110, name: "aksagentpool", osDiskSizeGB: 30, osType: "Linux", vmSize: "Standard_DS2_v2", }], // A AKS-managed Azure AD integration (optional) identity: { type: "SystemAssigned", }, dnsPrefix: "pulumi-aks-kube", kubernetesVersion: "1.18.14", }); // Export the AKS cluster kubeconfig. export const kubeconfig = aksCluster.kubeConfig; // Create a Kubernetes provider instance that uses the AKS cluster's kubeconfig. const k8sProvider = new k8s.Provider("aksK8s", { kubeconfig: aksCluster.kubeConfig.apply(JSON.stringify), }); // Use the Helm Chart resource to deploy PostgreSQL const pgDbChart = new k8s.helm.v3.Chart("pg-db-chart", { chart: "postgresql", version: "9.1.2", // Specify the version of the Chart to use fetchOpts: { repo: "https://charts.bitnami.com/bitnami", }, }, { provider: k8sProvider }); // Export the Helm chart deployment status export const postgresStatus = pgDbChart.status;

    Explanation

    • We use ManagedCluster from @pulumi/azure-native/containerservice to create the AKS cluster. Replace the values of location and resourceGroupName with your actual Azure resource group details.

    • agentPoolProfiles array configures the AKS VM size, node count, and other properties related to the VMs where your Kubernetes workloads will run.

    • The kubeconfig is exported so you can easily access your cluster with kubectl or other Kubernetes tools.

    • We then instantiate a Kubernetes provider by passing our kubeconfig to @pulumi/kubernetes which allows Pulumi to interact with our newly created AKS cluster.

    • Finally, we use the Chart class from @pulumi/kubernetes/helm/v3 to deploy the postgresql Helm chart from Bitnami's chart repository. Make sure to specify the correct version of the chart you want to deploy.

    What's Next?

    Once you've got this program set up, you can run it using the Pulumi CLI:

    1. Initialize a new Pulumi project in your preferred language.
    2. Install the necessary Pulumi packages for Azure and Kubernetes.
    3. Save the code in an index.ts file.
    4. Run pulumi up to preview and deploy the changes.

    Remember, if you want to interact with your AKS cluster using kubectl, Pulumi can export the generated kubeconfig file. Also, don't forget to check the AKS documentation and the Helm chart resource documentation for an in-depth understanding of the parameters and functionality available.


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