1. Associating Data Collection Rules with VMs for Monitoring

    TypeScript

    To associate Data Collection Rules with Virtual Machines (VMs) for monitoring purposes in Azure, you'll want to use the Azure Monitor service. Within Azure Monitor, there are Data Collection Rules (DCRs) which define what data should be collected from your Azure resources, including VMs. The azure-native.insights.DataCollectionRule resource is used to create a Data Collection Rule, and the azure-native.insights.DataCollectionRuleAssociation resource is used to associate the rule with a specific VM.

    The following program demonstrates how to create a DCR and then associate it with an existing VM for monitoring purposes.

    Detailed Explanation

    1. DataCollectionRule Resource: This resource represents a Data Collection Rule in Azure Monitor. It allows you to specify which data (like logs, performance metrics) should be collected for monitoring purposes.

    2. DataCollectionRuleAssociation Resource: This resource creates an association between an existing Data Collection Rule and a Virtual Machine. This means that the DCR will apply to the specified VM, and the data defined in the rule will be collected from that VM.

    Pulumi Program

    import * as pulumi from "@pulumi/pulumi"; import * as insights from "@pulumi/azure-native/insights"; import * as compute from "@pulumi/azure-native/compute"; // Replace the following with your existing resource group's name and VM's name and ID const resourceGroupName = "my-resource-group"; const vmName = "my-vm"; const vmId = `/subscriptions/{subscriptionId}/resourceGroups/${resourceGroupName}/providers/Microsoft.Compute/virtualMachines/${vmName}`; // Create an Azure Monitor Data Collection Rule const dataCollectionRule = new insights.DataCollectionRule("myDataCollectionRule", { resourceGroupName: resourceGroupName, location: "West US", // Replace with your Azure region if different // The specific configuration below depends on the data you want to collect dataFlows: [ // This example configures flow for VM logs to be sent to Log Analytics Workspace and Event Hub ], // Additional settings and configurations can be specified here... }); // Associate the Data Collection Rule with the Virtual Machine const association = new insights.DataCollectionRuleAssociation("myVmDcrAssociation", { dataCollectionRuleId: dataCollectionRule.id, resourceUri: vmId, // The Resource ID of the VM resourceGroupName: resourceGroupName, name: "default", // The name of the association }); // Export the association name export const associationName = association.name;

    How to Run the Program

    To run this Pulumi program:

    • Ensure you have Pulumi CLI installed and configured with your Azure account.
    • Save the TypeScript code in a file named index.ts.
    • Run pulumi up in the same directory to create the resources.

    Make sure you replace placeholders like my-resource-group, my-vm, and {subscriptionId} with your actual resource group name, VM name, and subscription ID.

    This program will create a Data Collection Rule and an Association that ties the rule to the specified VM. You can customize the dataFlows parameter to define which data you want to collect and where it should be sent (e.g., Log Analytics Workspaces, Event Hubs, etc.). Please visit the Data Collection Rule and Data Collection Rule Association documentation for more details on the properties and usage.