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

    TypeScript

    To deploy an elasticsearch-agent Helm chart on the Digital Ocean Kubernetes Service using Pulumi, you will need to perform the following steps:

    1. Set up a Digital Ocean Kubernetes cluster - A Kubernetes cluster is a set of node machines for running containerized applications. If you don't already have a cluster, you can create one using Pulumi.

    2. Install the Helm chart - Helm helps you manage Kubernetes applications. Helm charts help you define, install, and upgrade even the most complex Kubernetes application. You will need to deploy the elasticsearch-agent chart to your cluster.

    Here's a Pulumi program written in TypeScript that accomplishes this. This program will:

    • Create a new Digital Ocean Kubernetes cluster.
    • Deploy the elasticsearch-agent Helm chart to the cluster.

    Please note that you must have Pulumi and Digital Ocean provider set up and configured with the necessary credentials before running this program. You should also replace "<YOUR_CHART_NAME>" with the actual chart name of the Elasticsearch agent if it differs.

    import * as digitalocean from "@pulumi/digitalocean"; import * as kubernetes from "@pulumi/kubernetes"; // Create a Digital Ocean Kubernetes cluster const cluster = new digitalocean.KubernetesCluster("do-cluster", { region: "nyc3", // Replace with your desired region version: "latest", // Use the latest available version nodePool: { name: "default", size: "s-2vcpu-2gb", // Choose the node size that fits your needs nodeCount: 3, // Specify the number of nodes in the node pool } }); // Set up K8s provider to use the new cluster once it is created const k8sProvider = new kubernetes.Provider("do-k8sProvider", { kubeconfig: cluster.kubeConfigs[0].rawConfig, }); // Deploy the `elasticsearch-agent` Helm chart into the cluster const chart = new kubernetes.helm.v3.Chart("es-agent", { chart: "<YOUR_CHART_NAME>", // Replace with the actual chart name version: "1.0.0", // Specify the chart version if required fetchOpts: { repo: "https://helm.elastic.co", // The Helm repository URL }, }, { provider: k8sProvider }); // Export the cluster's kubeconfig and endpoint export const kubeconfig = cluster.kubeConfigs[0].rawConfig; export const clusterEndpoint = cluster.endpoint;

    Understanding the Program:

    • We first import the necessary Pulumi packages for Digital Ocean (@pulumi/digitalocean) and Kubernetes (@pulumi/kubernetes).
    • We create a new Digital Ocean Kubernetes cluster with the required size and number of nodes. You can customize the region, size, and nodeCount to match your requirements.
    • We define a Kubernetes provider that will connect to our newly created Digital Ocean Kubernetes cluster using the kubeconfig obtained from the cluster.
    • We then use the kubernetes.helm.v3.Chart class to deploy the elasticsearch-agent Helm chart into the Kubernetes cluster. This assumes the Helm chart is available in a Helm repository, and <YOUR_CHART_NAME> is the name of the Elasticsearch agent chart available on that Helm repository.
    • Finally, we export the kubeconfig and cluster endpoint to allow us to interact with the cluster from our local machine if needed.

    Once you've got your program ready, you run it using the pulumi up command. Pulumi will perform the deployment, showing you a preview, and after confirmation, it will provision the resources as described in the program.

    Digital Ocean KubernetesCluster: For creating and managing a Kubernetes cluster on Digital Ocean.

    Kubernetes Provider: To configure the Kubernetes API server details so that Pulumi can communicate with the cluster.

    Kubernetes Helm Chart: Provides a resource to manage Helm chart deployments on the cluster.

    Remember, the Helm chart name and version should match those provided by Elastic or the maintainers of the elasticsearch-agent. Always refer to official or trusted charts when deploying into production.


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