How Do I Write an Azure Monitoring Diagnostic Setting?

Introduction

Monitoring your Azure resources is essential for maintaining optimal performance and ensuring the health of your applications. Azure Monitoring Diagnostic Settings allow you to collect and route logs and metrics from Azure resources to various destinations, such as Log Analytics Workspaces, Event Hubs, or Storage Accounts. This guide will demonstrate how to implement an Azure Monitoring Diagnostic Setting using Pulumi and TypeScript, focusing on sending logs to a Log Analytics Workspace.

Implementation Process

Step 1: Define the Resource Group

The first step is to create a resource group to organize your Azure resources.

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

// Define the resource group
const example = new azure.core.ResourceGroup("example", {
    name: "example-resources",
    location: "East US",
});

Step 2: Create a Log Analytics Workspace

Next, set up a Log Analytics Workspace where your logs and metrics will be sent and stored.

// Define the Log Analytics Workspace
const exampleAnalyticsWorkspace = new azure.operationalinsights.AnalyticsWorkspace("example", {
    name: "example-workspace",
    location: example.location,
    resourceGroupName: example.name,
    sku: "PerGB2018",
    retentionInDays: 30,
});

Step 3: Provision an Azure Resource

In this example, we will monitor a Virtual Network. Provision this resource as follows:

// Define an Azure resource to monitor (e.g., Virtual Network)
const exampleVirtualNetwork = new azure.network.VirtualNetwork("example", {
    name: "example-vnet",
    addressSpaces: ["10.0.0.0/16"],
    location: example.location,
    resourceGroupName: example.name,
});

Step 4: Set Up the Diagnostic Setting

Finally, configure the Diagnostic Setting to send logs and metrics from the Virtual Network to the Log Analytics Workspace.

// Define the Diagnostic Setting for the Virtual Network
const exampleDiagnosticSetting = new azure.monitoring.DiagnosticSetting("example", {
    name: "example-diagnostic-setting",
    targetResourceId: exampleVirtualNetwork.id,
    logAnalyticsWorkspaceId: exampleAnalyticsWorkspace.id,
    logs: [{
        category: "NetworkSecurityGroupEvent",
        enabled: true,
        retentionPolicy: {
            enabled: false,
        },
    }],
    metrics: [{
        category: "AllMetrics",
        enabled: true,
        retentionPolicy: {
            enabled: false,
        },
    }],
});

Step 5: Export Outputs

Export the IDs for the Log Analytics Workspace and the Diagnostic Setting for reference.

export const logAnalyticsWorkspaceId = exampleAnalyticsWorkspace.id;
export const diagnosticSettingId = exampleDiagnosticSetting.id;

Key Points

• Resource Group: Organizes and manages Azure resources.
• Log Analytics Workspace: A central repository for logs and metrics.
• Azure Resource: The entity being monitored, such as a Virtual Network.
• Diagnostic Setting: Configures the collection and routing of logs and metrics.

Conclusion

By following these steps, you have successfully implemented an Azure Monitoring Diagnostic Setting using Pulumi and TypeScript. This setup allows you to collect and analyze crucial metrics and logs, providing valuable insights into the performance and operations of your Azure resources. Monitoring is a vital aspect of maintaining the health of your applications and ensuring they run smoothly.