Linking Multiple Storage Accounts for Improved Log Analytics Data Capacity

Question

Pulumi · Accepted Answer

In Azure, you can link multiple storage accounts to a Log Analytics workspace for improved log analytics data capacity. This enables you to collect and correlate data across various storage accounts, providing a centralized point for analysis which makes it easier to manage and operate on large volumes of log data.

To accomplish this, we use the `LinkedStorageAccount` resource from the `azure-native` package. This resource associates storage accounts with your Log Analytics workspace. By associating multiple storage accounts, you are effectively increasing the data capacity that your Log Analytics workspace can utilize for analytics purposes.

Here's a Pulumi program in TypeScript that demonstrates how to link multiple storage accounts to a single Log Analytics workspace. Please ensure you have all necessary permissions to create these resources in your Azure subscription.

Make sure you have Pulumi installed and have logged into your Azure account. This program does not require any configurations, as it uses the default settings for Azure on your Pulumi setup.

The following program assumes:
- You have an existing Log Analytics Workspace.
- You have a list of storage account IDs that you wish to link.

```typescript
import * as pulumi from "@pulumi/pulumi";
import * as insights from "@pulumi/azure-native/operationalinsights";

// Array of storage account resource IDs to be linked to the Log Analytics Workspace.
const storageAccountResourceIds: string[] = [
    "/subscriptions/subid/resourceGroups/rg1/providers/Microsoft.Storage/storageAccounts/storageaccount1",
    "/subscriptions/subid/resourceGroups/rg1/providers/Microsoft.Storage/storageAccounts/storageaccount2",
    // Add more Storage Account resource IDs as needed
];

// Existing Log Analytics Workspace information.
const resourceGroupName = "existing-rg";
const workspaceName = "existing-log-analytics-workspace";

// Link each storage account to the Log Analytics workspace
storageAccountResourceIds.forEach((storageAccountId, index) => {
    new insights.LinkedStorageAccount(`linkedStorageAccount${index}`, {
        resourceGroupName: resourceGroupName,
        workspaceName: workspaceName,
        dataSourceType: "AzureWatsonCrsBlob", // This is an example data source type, change as needed.
        storageAccountIds: [storageAccountId],
    });
});
```

In this program:

- We import the necessary modules from the Pulumi Azure Native package.
- We define an array of storage account resource IDs that need to be linked.
- Using the `LinkedStorageAccount` resource, we loop through the array and create a linked storage account for each ID in the context of an existing workspace.

Please replace the `storageAccountResourceIds`, `resourceGroupName`, and `workspaceName` with your actual Azure resource identifiers.

The `dataSourceType` parameter specifies the type of data that the linked storage account is expected to send to the Log Analytics workspace. The example provided uses `"AzureWatsonCrsBlob"`, which is suitable for specific types of data. You should replace this with the appropriate data source type that meets your needs. To find the right `dataSourceType`, refer to the Azure documentation on [dataSource types](https://docs.microsoft.com/azure/azure-monitor/platform/data-sources).

The `${index}` in the resource name `linkedStorageAccount${index}` is a placeholder to ensure unique names for each `LinkedStorageAccount` resource in case you need to link multiple storage accounts.

Remember that this configuration impacts the data and potential costs associated with your Log Analytics Workspace as you're potentially increasing the volume of data ingested. Ensure you have a proper understanding of the associated costs before scaling up your data ingestion.