1. Deploy the ibm-fhir-server helm chart on AWS EKS


    To deploy the IBM FHIR Server on AWS EKS using Pulumi, you will need to perform the following steps:

    1. Set up an AWS EKS cluster, which will be the managed Kubernetes service where your IBM FHIR Server will run.
    2. Use the kubernetes.helm.v3.Chart resource from the Pulumi Kubernetes provider to deploy the ibm-fhir-server Helm chart to your EKS cluster.

    Below is a detailed Pulumi program written in TypeScript that accomplishes this task.

    import * as eks from '@pulumi/eks'; import * as k8s from '@pulumi/kubernetes'; import * as pulumi from '@pulumi/pulumi'; // Step 1: Create an EKS cluster. // We create a new EKS cluster that will be the environment for the IBM FHIR Server. const cluster = new eks.Cluster('my-cluster', { // Specify the EKS cluster version you want to use. version: '1.21', // Configure the desired number of nodes in the default node group. desiredCapacity: 2, minSize: 1, maxSize: 3, // Use the default settings for the instance type and other node group configurations, // such as the AMI type for the nodes based on the region. }); // Step 2: Deploy the IBM FHIR Server using a Helm chart. // We fetch the IBM FHIR Server Helm chart from its Helm repository and deploy it to the EKS cluster. const fhirServerChart = new k8s.helm.v3.Chart('ibm-fhir-server', { // Use the Kubernetes provider configured to use the EKS cluster's kubeconfig. fetchOpts: { repo: 'https://raw.githubusercontent.com/IBM/charts/master/repo/stable/', }, chart: 'ibm-fhir-server', version: '0.1.1', // Replace this with the specific chart version you require. namespace: 'fhir', // The namespace where to deploy the chart. Create it if it doesn't exist. values: { // Provide the necessary values to configure the IBM FHIR Server. // These values will need to be defined based on your use case and environment. // You can refer to the IBM FHIR Server Helm chart documentation for the full list of customizable values. }, }, { provider: cluster.provider }); // Export the cluster's kubeconfig and the IBM FHIR Server's service endpoint. export const kubeconfig = cluster.kubeconfig; export const fhirServerEndpoint = pulumi.interpolate`http://${fhirServerChart.getResourceProperty('v1/Service', 'fhir-ibm-fhir-server', 'status').apply(status => status.loadBalancer.ingress[0].hostname)}`;

    This program initializes a new EKS cluster and then deploys the IBM FHIR Server using a Helm chart. Please make sure to adjust the version in the eks.Cluster constructor to a supported version and to specify the necessary values in the chart's values property following the documentation of the IBM FHIR Server Helm chart.


    In step 1, we define the EKS cluster configuration. We set the desired Kubernetes version and node group configurations that will support our workload. The desiredCapacity, minSize, and maxSize parameters regulate the size of the cluster.

    In step 2, we use the Pulumi Kubernetes provider to deploy the IBM FHIR Server Helm chart to the EKS cluster. The fetchOpts parameter is used to specify the Helm repository where the IBM FHIR Server chart is located. The chart and version parameters specify the name and version of the chart you want to deploy, respectively. You must adapt the namespace and values fields according to your specific deployment requirements and according to the configuration options of the helm chart.

    Lastly, we export the kubeconfig for our EKS cluster, which allows us to interact with the cluster using kubectl or other Kubernetes tools. We also export the endpoint of the IBM FHIR Server service, which can be used to access the IBM FHIR Server API once it's deployed and running.

    Remember, you may need to adapt the configuration based on the specific requirements of your IBM FHIR Server deployment and according to the Amazon EKS environment you are targeting. Always refer to the official documentation for the most accurate and up-to-date information.