1. Deploy the tyk-stack helm chart on Azure Kubernetes Service (AKS)


    To deploy the Tyk Stack Helm chart on Azure Kubernetes Service (AKS), you'll need to perform a series of steps. This will involve creating an AKS cluster on Azure, preparing the Kubernetes environment, and then using Pulumi to deploy the Helm chart.

    The key resources we'll be using are:

    1. KubernetesCluster: This resource will be used to create and configure the AKS cluster within your Azure subscription.
    2. helm.v3.Chart: This component is a part of Pulumi's @pulumi/kubernetes package which allows you to deploy Helm charts into a Kubernetes cluster.

    Here's a step-by-step Pulumi program written in TypeScript that will create an AKS cluster and deploy the Tyk Stack Helm chart:

    import * as pulumi from "@pulumi/pulumi"; import * as azure from "@pulumi/azure"; import * as k8s from "@pulumi/kubernetes"; import * as random from "@pulumi/random"; // Create an Azure Resource Group const resourceGroup = new azure.core.ResourceGroup("tykResourceGroup"); // Create an AKS cluster const aksCluster = new azure.containerservice.KubernetesCluster("tykK8sCluster", { resourceGroupName: resourceGroup.name, dnsPrefix: `${pulumi.getStack()}-k8s`, defaultNodePool: { name: "default", nodeCount: 2, vmSize: "Standard_DS2_v2", }, identity: { type: "SystemAssigned", }, }); // Export the AKS cluster kubeconfig export const kubeconfig = aksCluster.kubeConfigRaw; // Create a provider for the AKS cluster const k8sProvider = new k8s.Provider("k8sProvider", { kubeconfig: kubeconfig, }); // Create a namespace for Tyk const tykNamespace = new k8s.core.v1.Namespace("tyk-namespace", { metadata: { name: "tyk" }, }, { provider: k8sProvider }); // Now we deploy the Tyk Stack Helm chart within the AKS cluster const tykHelmChart = new k8s.helm.v3.Chart("tyk-stack", { chart: "tyk-pro", // Replace with "tyk-headless" if you wish to use Tyk's headless gateway version: "0.9.0", // This should be the version you wish to deploy; check Helm repository for the latest namespace: tykNamespace.metadata.name, fetchOpts: { repo: "https://helm.tyk.io/public/helm/charts/", // Tyk's Helm repository }, values: { // Set the required values for Tyk Pro. These might include sensitive information such as // passwords, secrets, license keys, and so forth. Store these securely. }, }, { provider: k8sProvider }); // Export the Tyk Gateway service endpoint export const tykGatewayEndpoint = tykHelmChart.getResourceProperty("v1/Service", "tyk-gateway", "status").apply(s => `http://${s.loadBalancer.ingress[0].ip}`);

    Let me explain the code above:

    • Resource Group Creation: We start by creating an Azure resource group to logically group the AKS resources.
    • AKS Cluster Creation: The KubernetesCluster resource from the @pulumi/azure package is used to create an AKS cluster. The DNS prefix, node pool configuration, and identity type are set for the cluster.
    • KubeConfig Export: We export the raw Kubernetes config which is necessary to communicate with the AKS cluster.
    • Kubernetes Provider Setup: We instantiate a Pulumi Kubernetes provider configured with the AKS cluster's kubeconfig. This allows Pulumi to deploy resources to the AKS cluster.
    • Tyk Namespace Creation: Before deploying the Helm chart, we create a separate Kubernetes namespace named tyk.
    • Tyk Helm Chart Deployment: Using the helm.v3.Chart resource, we deploy the Tyk Stack Helm chart into the designated namespace. We specify the chart name, version, repository, and any necessary values. Note that the values should include authentication and configuration settings according to the Tyk chart's requirements.
    • Service Endpoint Export: Lastly, we export the endpoint of the Tyk Gateway, which will be the external IP provided by AKS once the load balancer is set up by the Helm chart.

    You'll need to replace the placeholder values with actual configurations suitable for your setup, particularly under the values property of the tykHelmChart. This is where you'd specify Tyk-specific configurations.

    To run this program, you will need to have Pulumi CLI installed and set up with appropriate access to your Azure account. Save the code into a file named index.ts, and then use the following Pulumi CLI commands:

    pulumi stack init dev # Initializes a new stack for your project pulumi up # Deploys the resources defined in the program

    Remember to review the preview provided by pulumi up before confirming the deployment, to ensure that everything is configured as expected. After the deployment is successfully completed, Pulumi will display the output variables, including the Kubernetes cluster's kubeconfig and the Tyk Gateway endpoint.