Deploy the zabbix-agent helm chart on Azure Kubernetes Service (AKS)

Question

Pulumi · Accepted Answer

To deploy the Zabbix agent using a Helm chart on Azure Kubernetes Service (AKS), you'll need to perform several steps:

Create an AKS cluster.
Install Helm and add the repository that contains the Zabbix agent chart.
Deploy the Zabbix agent using Helm.

Below, I will walk you through a Pulumi TypeScript program that accomplishes these tasks. The program sets up an AKS cluster and deploys the Zabbix agent to that cluster via a Helm chart.

Before we dive into the code, let me explain the resources we will use:

azure.containerservice.KubernetesCluster: This Pulumi resource will be used to provision an AKS cluster in your Azure subscription.
kubernetes.helm.v3.Chart: After the cluster is ready, we'll use the Helm Chart resource to deploy the Zabbix agent. The Helm chart encapsulates the Kubernetes YAML definitions into a single deployable unit.

Here's a step-by-step Pulumi program to deploy the Zabbix agent on AKS:

import * as pulumi from "@pulumi/pulumi";
import * as azure from "@pulumi/azure";
import * as k8s from "@pulumi/kubernetes";

// Step 1: Create an AKS cluster.
const aksCluster = new azure.containerservice.KubernetesCluster("aksCluster", {
    resourceGroupName: "myResourceGroup",
    defaultNodePool: {
        name: "default",
        nodeCount: 2,
        vmSize: "Standard_DS2_v2",
    },
    dnsPrefix: "myakscluster",
    identity: {
        type: "SystemAssigned",
    },
});

// Export the Kubeconfig of the AKS cluster to connect with kubectl
export const kubeconfig = aksCluster.kubeConfigRaw;

// Step 2: Set up a Kubernetes provider instance using the kubeconfig from the created AKS cluster.
const k8sProvider = new k8s.Provider("k8sProvider", {
    kubeconfig: aksCluster.kubeConfigRaw,
});

// Step 3: Deploy the Zabbix agent using a Helm chart.
const zabbixAgentChart = new k8s.helm.v3.Chart("zabbix-agent", {
    chart: "zabbix-agent",
    version: "v0.1.0", // specify the version of the Helm chart
    fetchOpts:{
        repo: "http://zabbix.github.io/kubernetized-zabbix/", // specify the repository of the Zabbix helm chart
    },
    // Values from the Helm Chart's 'values.yml' can be set here.
    // For example, you might want to set your Zabbix server address and other necessary values.
    // values: {
    //     zabbixServerHost: "<YOUR_ZABBIX_SERVER_HOST>",
    //     zabbixServerPort: "<YOUR_ZABBIX_SERVER_PORT>",
    //     agents: [
    //         // Provide additional configuration for the Zabbix agents here
    //     ],
    // },
}, { provider: k8sProvider });

// Optionally, you may want to export the Helm release's status to ensure that your deployment succeeded.
export const zabbixAgentReleaseStatus = zabbixAgentChart.status;

Let's walk through this code:

Create an AKS Cluster: We create an AKS cluster using the azure.containerservice.KubernetesCluster resource. We define the number of nodes in the cluster, the size of the VMs, and a DNS prefix for the AKS cluster URL.
Kubernetes Provider Setup: The k8s.Provider resource allows us to interact with the AKS cluster that we just created. We pass the kubeconfig of the AKS cluster, which is an output property from our AKS resource.
Deploy Zabbix Agent with Helm: We define a Helm chart resource called zabbix-agent. Notice that we specify which Helm chart to install (chart: "zabbix-agent"), the version of the chart, and the repository where it's located. Since the actual values of the Zabbix server host and port are contextual to your setup, I've added placeholders as comments. You'll need to replace them with your specific configuration by uncommenting and providing the actual values.

Lastly, we export the kubeconfig and status of the Helm release for your reference. The kubeconfig allows you to access the Kubernetes cluster using kubectl, and the Helm release status can be checked for successful deployment.

Remember to replace myResourceGroup, myakscluster, any placeholder, and actual configuration values with your own details. Once this program is ready, use the Pulumi command line (CLI) to deploy these resources to your Azure account.