1. Deploy the elasticsearch-umbrella helm chart on Opensshift


    To deploy the Elasticsearch umbrella Helm chart on an OpenShift cluster using Pulumi, we'll use the Kubernetes provider and the helm.v3.Chart resource. This resource allows you to install Helm charts into your Kubernetes cluster.

    The Elasticsearch umbrella chart is a collection of multiple Helm charts that work together to deploy Elasticsearch in a Kubernetes environment. An umbrella chart may include other services like Kibana or Logstash if they are part of the Elasticsearch stack you are deploying.

    Before you proceed, make sure you have the following prerequisites in place:

    • Pulumi CLI installed and configured.
    • kubectl configured to connect to your OpenShift cluster.
    • Helm CLI installed, if you need to download the chart locally or inspect it.

    The following Pulumi program is a straightforward deployment of an Elasticsearch Helm chart to an OpenShift cluster. You'll need the Helm chart repository URL and the chart name, which in this case we are assuming to be an "elasticsearch-umbrella" chart within the given repository.

    Here's the TypeScript program:

    import * as kubernetes from "@pulumi/kubernetes"; // Create an instance of the kubernetes provider connected to your OpenShift cluster. const k8sProvider = new kubernetes.Provider("openshift-k8s", { // Specify the kubeconfig file path or the kubeconfig contents to connect to the OpenShift Cluster. // If your kubeconfig file is in the default location (~/.kube/config), Pulumi automatically uses it. // In case you want to specify it, uncomment the line below and provide the config. // kubeconfig: "<KUBE_CONFIG_CONTENTS>" }); // Deploy Elasticsearch using an umbrella helm chart from a specified repository. const elasticsearchChart = new kubernetes.helm.v3.Chart("elasticsearch", { // Specify your chart name here chart: "elasticsearch-umbrella", // Specify your chart repo here fetchOpts: { repo: "https://charts.your-repository.com", }, // Customize the installation by specifying your own chart values. // This is optional and depends on the specific chart and the configurations you want to override. values: { // Replace this with your own configuration clusterName: "elasticsearch", nodeGroup: "default", // Other necessary custom values can go here }, // Specify the namespace where you want to deploy your chart. Defaults to 'default' if not specified. namespace: "elasticsearch", // Set to true if you want to wait for resources to be ready before marking the chart as successful. skipAwait: false }, { provider: k8sProvider }); // Export the base URL for Elasticsearch once it's deployed. export const elasticsearchUrl = elasticsearchChart.getResourceProperty("v1/Service", "elasticsearch-master", "status");

    Explanation of the resources used in the program:

    • kubernetes.Provider is a resource that allows Pulumi to communicate with your OpenShift cluster using a kubeconfig file.
    • kubernetes.helm.v3.Chart is the Pulumi resource used to deploy a Helm chart to your cluster. This resource is handy because it abstracts all the complexity involved in configuring and deploying Helm charts, allowing you to declare your desired state in a straightforward manner.

    In the values attribute of the Chart resource, you may need to add specific configuration options depending on the requirements of the Elasticsearch Helm chart you are deploying. These required configurations would typically be mentioned in the chart's documentation.

    The export statement at the end of the program allows you to output the base URL for the Elasticsearch service once it's deployed. You can use this URL to interact with your Elasticsearch cluster.

    Before you run this Pulumi program, please ensure that your Helm chart details (repository, chart name, and values) are correct and correspond to the actual chart you intend to use.

    Finally, to execute this Pulumi program:

    1. Save the program in a index.ts file.
    2. Run pulumi stack init to create a new stack.
    3. Run pulumi up to preview and deploy the changes. Follow the instructions provided in your terminal.

    After the deployment process is finished, you can use the outputted elasticsearchUrl. If you configured your Helm chart to include an Ingress resource, the URL will be publicly accessible; otherwise, it will be an internal cluster endpoint.