Create a Log Analytics workspace with Azure CLI 2.0

The Azure CLI 2.0 is used to create and manage Azure resources from the command line or in scripts. This quickstart shows you how to use Azure CLI 2.0 to deploy a Log Analytics workspace in Azure Monitor. A Log Analytics workspace is a unique environment for Azure Monitor log data. Each workspace has its own data repository and configuration, and data sources and solutions are configured to store their data in a particular workspace. You require a Log Analytics workspace if you intend on collecting data from the following sources:

  • Azure resources in your subscription
  • On-premises computers monitored by System Center Operations Manager
  • Device collections from Configuration Manager
  • Diagnostic or log data from Azure storage

For other sources, such as Azure VMs and Windows or Linux VMs in your environment, see the following topics:

If you don't have an Azure subscription, create a free account before you begin.


  • Use the Bash environment in Azure Cloud Shell.

    Launch Cloud Shell in a new window

  • If you prefer, install the Azure CLI to run CLI reference commands.

    • If you're using a local installation, sign in to the Azure CLI by using the az login command. To finish the authentication process, follow the steps displayed in your terminal. For additional sign-in options, see Sign in with the Azure CLI.

    • When you're prompted, install Azure CLI extensions on first use. For more information about extensions, see Use extensions with the Azure CLI.

    • Run az version to find the version and dependent libraries that are installed. To upgrade to the latest version, run az upgrade.

  • This article requires version 2.0.30 or later of the Azure CLI. If using Azure Cloud Shell, the latest version is already installed.

Create a workspace

Create a workspace with az deployment group create. The following example creates a workspace in the eastus location using a Resource Manager template from your local machine. The JSON template is configured to only prompt you for the name of the workspace, and specifies a default value for the other parameters that would likely be used as a standard configuration in your environment. Or you can store the template in an Azure storage account for shared access in your organization. For further information about working with templates, see Deploy resources with Resource Manager templates and Azure CLI

For information about regions supported, see regions Log Analytics is available in and search for Azure Monitor from the Search for a product field.

The following parameters set a default value:

  • location - defaults to East US
  • sku - defaults to the new Per-GB pricing tier released in the April 2018 pricing model


If creating or configuring a Log Analytics workspace in a subscription that has opted into the new April 2018 pricing model, the only valid Log Analytics pricing tier is PerGB2018.

Create and deploy template

  1. Copy and paste the following JSON syntax into your file:

    "$schema": "",
    "contentVersion": "",
    "parameters": {
        "workspaceName": {
            "type": "String",
            "metadata": {
              "description": "Specifies the name of the workspace."
        "location": {
            "type": "String",
            "allowedValues": [
            "defaultValue": "eastus",
            "metadata": {
              "description": "Specifies the location in which to create the workspace."
        "sku": {
            "type": "String",
            "allowedValues": [
            "defaultValue": "PerGB2018",
            "metadata": {
            "description": "Specifies the service tier of the workspace: Standalone, PerNode, Per-GB"
    "resources": [
            "type": "Microsoft.OperationalInsights/workspaces",
            "name": "[parameters('workspaceName')]",
            "apiVersion": "2015-11-01-preview",
            "location": "[parameters('location')]",
            "properties": {
                "sku": {
                    "Name": "[parameters('sku')]"
                "features": {
                    "searchVersion": 1
  2. Edit the template to meet your requirements. Review Microsoft.OperationalInsights/workspaces template reference to learn what properties and values are supported.

  3. Save this file as deploylaworkspacetemplate.json to a local folder.

  4. You are ready to deploy this template. Use the following commands from the folder containing the template. When you're prompted for a workspace name, provide a name that is unique in your resource group.

    az deployment group create --resource-group <my-resource-group> --name <my-deployment-name> --template-file deploylaworkspacetemplate.json

The deployment can take a few minutes to complete. When it finishes, you see a message similar to the following that includes the result:

Example result when deployment is complete


When you create a workspace that was deleted in the last 14 days and in soft-delete state, the operation could have different outcome depending on your workspace configuration:

  1. If you provide the same workspace name, resource group, subscription and region as in the deleted workspace, your workspace will be recovered including its data, configuration and connected agents.
  2. Workspace name must be unique per resource group. If you use a workspace name that is already exists, also in soft-delete in your your resource group, you will get an error The workspace name 'workspace-name' is not unique, or conflict. To override the soft-delete and permanently delete your workspace and create a new workspace with the same name, follow these steps to recover the workspace first and perform permanent delete:

Next steps

Now that you have a workspace available, you can configure collection of monitoring telemetry, run log searches to analyze that data, and add a management solution to provide additional data and analytic insights.