1. Deploy the wazuh helm chart on Google Kubernetes Engine (GKE)


    Deploying a Helm chart to a Kubernetes cluster involves several steps. Firstly, we'll need to set up a Google Kubernetes Engine (GKE) cluster. Once the cluster is running, we can install the wazuh Helm chart into it.

    Here's a step-by-step guide to deploying the wazuh Helm chart on GKE using Pulumi:

    1. Set Up the GKE Cluster

    To create a GKE cluster, you'll need to use the gcp.container.Cluster resource. This will define the configuration for your Kubernetes cluster, such as the number of nodes, the node type, and the geographical location of the cluster.

    2. Install the Helm Chart

    With the cluster in place, we can proceed to deploy Helm charts. Pulumi provides the kubernetes.helm.v3.Chart resource, which represents a Helm chart. This resource allows you to install, upgrade, and manage Helm charts in your Kubernetes environments programmatically.

    Pulumi Program to Deploy wazuh Helm Chart on GKE

    Here's a Pulumi program written in TypeScript that you can use to deploy the wazuh Helm chart on a new GKE cluster:

    import * as pulumi from '@pulumi/pulumi'; import * as gcp from '@pulumi/gcp'; import * as k8s from '@pulumi/kubernetes'; // Create a GKE cluster. const cluster = new gcp.container.Cluster("wazuh-cluster", { initialNodeCount: 2, minMasterVersion: "latest", nodeConfig: { machineType: "n1-standard-1", oauthScopes: [ "https://www.googleapis.com/auth/compute", "https://www.googleapis.com/auth/devstorage.read_only", "https://www.googleapis.com/auth/logging.write", "https://www.googleapis.com/auth/monitoring" ], }, }); // Export the Cluster name export const clusterName = cluster.name; // Export the Kubeconfig to access the Cluster export const kubeconfig = pulumi. all([cluster.name, cluster.endpoint, cluster.masterAuth]). apply(([name, endpoint, masterAuth]) => { const context = `${gcp.config.project}_${gcp.config.zone}_${name}`; return `apiVersion: v1 clusters: - cluster: certificate-authority-data: ${masterAuth.clusterCaCertificate} server: https://${endpoint} name: ${context} contexts: - context: cluster: ${context} user: ${context} name: ${context} current-context: ${context} kind: Config preferences: {} users: - name: ${context} user: auth-provider: config: cmd-args: config config-helper --format=json cmd-path: gcloud expiry-key: '{.credential.token_expiry}' token-key: '{.credential.access_token}' name: gcp `; }); // Create a Kubernetes Provider instance with the kubeconfig. const k8sProvider = new k8s.Provider("k8s-provider", { kubeconfig: kubeconfig, }); // Install the wazuh Helm chart using the Kubernetes provider created above. const wazuhChart = new k8s.helm.v3.Chart("wazuh", { repo: "wazuh", chart: "wazuh", version: "1.0.0", // Specify the exact chart version you desire // Values from the chart's values.yml file can also be provided here. values: { // Custom values. It's important to examine the default chart values and decide if any need to be overridden. // For this example, we're using placeholders. Replace them with the actual configuration that fits your needs. }, }, { provider: k8sProvider }); // Export the Helm chart status export const wazuhStatus = wazuhChart.status;


    • GKE Cluster: The gcp.container.Cluster resource creates a new GKE cluster with the specified configurations. We have chosen an initial node count and machine type suited for the wazuh deployment, but these can be adjusted based on your specific needs.

    • Provider: We create a k8s.Provider which lets Pulumi know how to communicate with the Kubernetes cluster. The provider needs the kubeconfig, which we construct from the cluster's details.

    • Helm Chart: The wazuh Helm chart is installed by creating a k8s.helm.v3.Chart resource. You'll need to specify the correct repository and chart name, as well as any specific versions and values that should be used to configure wazuh.

    • Exported Values: Throughout the program, certain values are exported. These include the cluster's name, the kubeconfig for accessing the cluster, and the status of the Helm chart deployment. These values can be used to interact with the cluster and the wazuh installation.

    To run this program, ensure you have Pulumi installed and configured to use Google Cloud, and simply run pulumi up in the directory containing this code. Pulumi will handle the provisioning of the resources and output any exported values upon completion.

    Next Steps

    After deployment, you can interact with your wazuh instance using kubectl with the generated kubeconfig, or continue to manage your deployment using Pulumi. Make sure to investigate and configure the wazuh Helm chart values to suit your security and operational needs.