1. Using azure loganalytics with service

    TypeScript

    Azure Log Analytics is a service provided by Microsoft that allows you to collect and analyze data generated by resources in your cloud and on-premises environments. It's part of the Azure Monitor suite and helps you to understand and act upon the telemetry that your system produces. By integrating Log Analytics with your services, you can monitor for issues, understand trends in your data, or trigger actions based on data insights.

    To use Log Analytics, you need to have a Log Analytics workspace—this is where data is aggregated and analyzed. We'll create a Log Analytics workspace using the Pulumi Azure Native provider, which directly uses the Azure REST APIs, offering a more comprehensive coverage of Azure services compared to the classic Azure provider.

    In this Pulumi program, we'll set up a basic Log Analytics workspace using TypeScript. The Workspace resource is used to create the workspace and it requires a location and resource group. We assume that you have already configured the Pulumi Azure Native provider with the appropriate credentials.

    Here's a detailed walkthrough of the code:

    1. First, we import the necessary modules and set up a resource group.
    2. Then, we create a Log Analytics workspace within that resource group.
    3. We'll print out the workspace ID at the end by declaring it as a Pulumi stack export.
    import * as pulumi from "@pulumi/pulumi"; import * as azure_native from "@pulumi/azure-native"; // Creating a new resource group const resourceGroupName = "logAnalyticsResourceGroup"; const resourceGroup = new azure_native.resources.ResourceGroup(resourceGroupName, { location: "West US", // Choose an appropriate location }); // Creating a Log Analytics Workspace const workspaceName = "logAnalyticsWorkspace"; const workspace = new azure_native.operationalinsights.Workspace(workspaceName, { resourceGroupName: resourceGroup.name, location: resourceGroup.location, // Additional properties like SKU can be set here // For example, if you need a specific pricing tier, set the SKU here }); // Output the ID of the Log Analytics workspace export const workspaceId = workspace.id;

    This program creates a Log Analytics workspace inside a new resource group. Depending on your needs, you might want to configure additional properties for the workspace, like changing the SKU to a different pricing tier or enabling extra features.

    To obtain insights or run queries against your workspace, you can either use Azure's portal, CLI, or integrate with other tools and services that connect to Azure Log Analytics.

    To execute this program:

    1. Save the code in a file with a .ts extension.
    2. Ensure that you have installed the Pulumi CLI and logged in.
    3. Run pulumi up from the command line in the directory where your file is saved.

    Please replace "West US" with the appropriate Azure region that is suitable for you. If you want to integrate Log Analytics with other Azure services, you can send their logs or metrics to this workspace by configuring their diagnostic settings to use this workspace's ID (workspace.id).

    Remember, this is just a starting point. For a production system, you'll need to consider aspects like access policies, compliance settings, network settings, and more. Pulumi's integration with Azure allows you to manage all of these through code.