1. Deploy the elasticsearch-operator helm chart on Digital Ocean Kubernetes Service


    To deploy the Elasticsearch operator Helm chart on DigitalOcean Kubernetes Service (DOKS), you will need to complete several steps:

    1. Create a DigitalOcean Kubernetes Cluster.
    2. Configure a Helm chart for Elasticsearch operator deployment.
    3. Apply the Helm chart to the cluster.

    Below is a detailed explanation of how you would use Pulumi to create a DOKS cluster and deploy the Elasticsearch operator using a Helm chart.

    First, you'll need to use the digitalocean.KubernetesCluster resource to create a new Kubernetes cluster on Digital Ocean. The properties you set will define the size, region, and other configurations of your Kubernetes cluster. For example, you can specify the number of nodes, the region where you want your cluster to be located, and the version of Kubernetes you want to use.

    Then, to deploy the Elasticsearch operator, you will need to use the kubernetes.helm.v3.Chart resource. This will allow you to specify the Helm chart for Elasticsearch and the values you want to override in the default Helm chart configuration.

    Here is a complete Pulumi program that demonstrates how to accomplish this in TypeScript:

    import * as pulumi from "@pulumi/pulumi"; import * as digitalocean from "@pulumi/digitalocean"; import * as k8s from "@pulumi/kubernetes"; // Create a DigitalOcean Kubernetes cluster. const cluster = new digitalocean.KubernetesCluster("do-cluster", { region: "nyc3", version: "latest", // Use the latest available version of Kubernetes nodePool: { name: "default", size: "s-2vcpu-2gb", // This specifies the size for each node in the node pool. nodeCount: 2, // This specifies the number of nodes in the node pool. }, }); // Create an instance of the Kubernetes provider pointing to the newly created cluster. const k8sProvider = new k8s.Provider("do-k8s-provider", { kubeconfig: cluster.kubeConfigs[0].rawConfig, }); // Deploy the Elasticsearch operator using a Helm Chart. const elasticsearchOperator = new k8s.helm.v3.Chart("es-operator", { chart: "elasticsearch-operator", // Replace with the correct Elasticsearch operator chart name. version: "1.0.0", // Replace with the correct chart version. namespace: "default", // You can specify any namespace or leave it to default. fetchOpts: { repo: "https://helm.elastic.co", // Replace with the correct repository URL. }, }, { provider: k8sProvider }); // Export the cluster's kubeconfig. export const kubeconfig = cluster.kubeConfigs[0].rawConfig;

    In the above program:

    • We create a Kubernetes cluster on DigitalOcean by instantiating digitalocean.KubernetesCluster. We set its parameters such as region, Kubernetes version, and node pool configuration.
    • We create a Pulumi Kubernetes provider that uses the kubeconfig of our new DigitalOcean cluster to communicate with it.
    • We declare the Elasticsearch operator Helm Chart as a resource, specifying the chart name, version, namespace, and repository. We pass the Kubernetes provider we created earlier to ensure that Pulumi applies the Helm chart on the correct Kubernetes cluster. You will need to update the chart and version with the specific chart name and chart version of the Elasticsearch operator you wish to deploy.
    • Finally, we export the kubeconfig for the cluster, which can be used to access the Kubernetes cluster with kubectl or other Kubernetes tools.

    You can run this Pulumi program using pulumi up after setting up Pulumi with the appropriate access tokens for DigitalOcean and configuring your Pulumi stack. After the program runs successfully, your Elasticsearch cluster should be up and running on the DigitalOcean Kubernetes Service.