1. Using kubernetes beat.k8s.elastic.co with addons.cluster.x-k8s.io

    TypeScript

    To use Kubernetes, along with beat.k8s.elastic.co on addons.cluster.x-k8s.io, we need to set up a Kubernetes cluster and then deploy Elastic Beat agents as add-ons to the cluster. Elastic Beats is a collection of single-purpose data shippers used for sending different types of data to Elasticsearch or Logstash.

    Within Pulumi, we typically set up the Kubernetes cluster using a cloud provider's managed Kubernetes service, like Amazon EKS, Google GKE, or Azure AKS. After the cluster is set up, we can use Pulumi’s Kubernetes provider to deploy Kubernetes resources to manage Elastic Beats.

    I'll guide you through setting up an Amazon EKS cluster and deploying Elastic Beats as a DaemonSet to that cluster. In this example, we will assume that beat.k8s.elastic.co refers to an Elastic Beats instance such as Filebeat, Metricbeat, or any other type of Beat you wish to deploy.

    Detailed Explanation

    1. Creating an EKS Cluster: We will use eks.Cluster resource to bootstrap a managed Kubernetes cluster on AWS EKS. This EKS cluster will serve as the underlying infrastructure for our Kubernetes workloads.

    2. Deploying Elastic Beats as Add-ons: After the cluster is up and running, we will use the kubernetes.yaml.ConfigFile resource to deploy Elastic Beats to our cluster. The ConfigFile resource helps deploy Kubernetes resources defined in a YAML file which can define any Kubernetes API objects, including DaemonSets required for Elastic Beats.

    It's important to note that while we can use Pulumi to deploy Elastic Beats to an EKS cluster, addons.cluster.x-k8s.io is generally tailored for Cluster API (CAPI), which is a Kubernetes sub-project focused on providing declarative APIs and tooling to simplify provisioning, upgrading, and operating multiple Kubernetes clusters.

    In our context, we assume that beat.k8s.elastic.co is applied to the cluster using Kubernetes manifests after cluster creation, not as a part of CAPI cluster creation process. Thus, Pulumi can manage these add-ons post-cluster creation.

    Pulumi Program - TypeScript

    Let's craft a Pulumi program in TypeScript to perform these actions:

    import * as pulumi from "@pulumi/pulumi"; import * as aws from "@pulumi/aws"; import * as awsx from "@pulumi/awsx"; import * as eks from "@pulumi/eks"; import * as k8s from "@pulumi/kubernetes"; // Create an EKS cluster with default settings. // For real-world scenarios, customize the cluster as necessary. const cluster = new eks.Cluster("my-cluster"); // Load the Elastic Beats configuration as a Kubernetes YAML file. // This assumes that you have a YAML file that defines the Beats deployment. For instance, let's // say we have a `filebeat.yaml` that defines a DaemonSet to deploy Filebeat to all nodes in the cluster. const filebeat = new k8s.yaml.ConfigFile("filebeat", { file: "filebeat.yaml", // Replace this with the actual path to your Elastic Beats YAML manifest. // Ensure the Beats manifest contains the correct namespace and resource configurations. }); // Export the cluster's kubeconfig. export const kubeConfig = cluster.kubeconfig;

    In this program, we create an EKS cluster and then deploy a DaemonSet to run Filebeat on every node. You should customize the YAML manifest filebeat.yaml to fit beat.k8s.elastic.co or any specific Beat agent you want to deploy to your cluster.

    What Should Be In filebeat.yaml?

    To construct your filebeat.yaml, you should define a Kubernetes DaemonSet that specifies the Filebeat container image, necessary configuration and volumes, and the appropriate Elasticsearch service endpoint to which your Beat shippers will send data. Make sure to update this manifest according to your environment and the Beats you want to deploy.

    Notes

    • You must have aws and eks configurations set up in your environment or within the Pulumi program to authenticate against AWS.
    • The provided Pulumi code only demonstrates deploying one type of Beat; you can similarly add other Beats via additional ConfigFile resources.
    • You need to have the filebeat.yaml manifest ready with the correct settings before running the Pulumi program.
    • The Pulumi program above should be placed in a Pulumi project setup with the required dependencies in package.json.

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