1. Deploy the suitecrm helm chart on AWS EKS


    To deploy the SuiteCRM Helm chart on AWS EKS, we'll perform a series of steps in a Pulumi program. We will set up an EKS cluster, install the Helm chart, and ensure that the resources are appropriately configured and linked.

    Here's a breakdown of the steps we'll implement in the TypeScript program:

    1. Set up an EKS Cluster: We'll start by creating an EKS cluster using Pulumi's eks.Cluster (docs). This simplifies creating an EKS cluster, as this high-level component abstracts away many details.

    2. Install SuiteCRM Helm Chart: We’ll use Pulumi's kubernetes.helm.v3.Chart (docs) resource to deploy the SuiteCRM Helm chart onto the EKS cluster. This resource allows us to deploy Helm charts in a Kubernetes cluster managed by Pulumi.

    Let's go ahead and create a Pulumi program to achieve this:

    import * as eks from "@pulumi/eks"; import * as k8s from "@pulumi/kubernetes"; // Step 1: Create an EKS cluster const cluster = new eks.Cluster("my-cluster", { // Define the desired settings for the EKS cluster such as version, node size, etc. // You can customize these settings based on your requirements. version: "1.21", instanceType: "t2.medium", desiredCapacity: 2, minSize: 1, maxSize: 3, }); // Step 2: Deploy SuiteCRM using the Helm Chart const suitecrmChart = new k8s.helm.v3.Chart("suitecrm", { chart: "suitecrm", version: "x.x.x", // Replace with the desired chart version fetchOpts: { repo: "https://helm.loodse.com/", // Replace with the actual SuiteCRM Helm chart repo URL if different }, // Define any custom values for the chart, such as configuration settings or environment variables. // If there are none, you can remove the `values` field. values: { // Example: use NodePort instead of LoadBalancer for the service service: { type: "NodePort" }, // Set any other necessary values required by the chart here }, }, { provider: cluster.provider }); // Step 3: Export the EKS cluster's kubeconfig and SuiteCRM service endpoint export const kubeconfig = cluster.kubeconfig; export const suitecrmServiceEndpoint = suitecrmChart.getResourceProperty("v1/Service", "suitecrm-suitecrm", "status").apply(status => { // Extract the endpoint information based on the service type. If it's NodePort, construct the URL using the cluster's nodes. if (status.loadBalancer?.ingress) { // This would be applicable if using LoadBalancer as the service type. const ingress = status.loadBalancer.ingress[0]; return `http://${ingress.hostname || ingress.ip}`; } else { // For NodePort, get the port and construct the URL with one of the public IPs from the cluster nodes. const nodePort = status.ports[0].nodePort; const clusterNode = cluster.core.instance.workers[0].publicIp; return `http://${clusterNode}:${nodePort}`; } });

    In this program:

    • The eks.Cluster resource creates a managed Kubernetes cluster on AWS EKS with a specified version and node configuration.
    • The kubernetes.helm.v3.Chart resource installs SuiteCRM using its Helm chart. We specified the chart's name, possibly the version, and any configurations needed for SuiteCRM.
    • We export the kubeconfig needed to interact with the Kubernetes cluster using command-line tools like kubectl.
    • The suitecrmServiceEndpoint is an exported URL constructed based on the service type of SuiteCRM, allowing you to access the application in your browser.

    Remember to replace "x.x.x" with the actual chart version you want to use and adjust the repo to the correct Helm chart repository URL for SuiteCRM.

    To deploy this program, use the following commands after installing Pulumi and configuring AWS credentials:

    pulumi up

    This command runs the Pulumi program, provisioning the resources as described in the TypeScript code. After the deployment, you'll get the kubeconfig and suitecrmServiceEndpoint outputs, which you can use to interact with your EKS cluster and access the SuiteCRM application, respectively.