Microsoft Azure - Azure API Extractor
Use the Microsoft Azure - Azure API Extractor to collect configuration and performance data of the virtual machines that are provisioned in the Azure cloud. The collected data is used for analyzing and optimizing the capacity of your Azure infrastructure. To collect data, the Azure API ETL makes API calls to the Azure services.
Depending on your requirement, you can configure the ETL to collect data from the Azure Resource Manager model or the Classic model. For the Azure Resource Manager model, the ETL supports the following subscription types:
- PAY-AS-YOU-GO
- Azure Government (Supported in TrueSight Capacity Optimization version 11.3.01.001 or later)
If you apply tags to organize your Azure resources by related business services, you can configure the ETL to use these tags to display the Azure metrics by business services.The following video (3:59) provides information about the GovCloud (US) support introduced in the Amazon Web Services and Microsoft Azure API ETL.
Collecting data by using the Azure API ETL
To collect data by using the Azure API ETL, do the following tasks:
I. Complete the preconfiguration tasks.
II. Configure the ETL.
III. Run the ETL.
Depending on your Azure deployment model, select a tab and complete the steps:
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Get your Azure subscription ID. The subscription ID is a GUID that uniquely identifies your subscription to use Azure services. |
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If you want to retrieve data for multiple subscriptions by using a single ETL, create a Subscription list file that contains the Subscription ID of every subscription. The file can be in .txt or .csv format. You need a separate subscription file per tenant. |
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Ensure that you have the required permissions to create an application in Azure Active Directory (AAD). |
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Create an AAD application to gain access to Azure resources. |
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Obtain the Application ID and generate an authentication key for the application. |
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Obtain the Tenant ID, which is the ID of the AAD directory where you created the application. |
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Grant API access to the application. |
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Grant the Reader role to the application. Ensure that the account in your Azure subscription has the Owner or User Access Administration role to manage access to Azure resources. If your account is assigned the Contributor role, you cannot grant roles. |
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The ETL needs to access the specific API endpoints. If your setup is behind a firewall, enable the access to these endpoints.
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The ETL connects to these endpoints using HTTPS (port 443). |
- Obtain a subscription ID: The subscription ID is a GUID that uniquely identifies your subscription to use Azure services.
Upload a management certificate to the Microsoft Azure Classic portal: A management certificate is an SSL certificate, which is a small data file that digitally binds a cryptographic key to an organization's details. This certificate is associated with your subscription and is required to authenticate your API calls. Create the management certificate and upload it to the Azure portal.
The ETL needs to access the following API endpoints. If your setup is behind a firewall, enable the access to these endpoints.
- management.core.windows.net
- management.azure.com
The ETL connects to these endpoints using HTTPS (port 443).
You must configure the ETL to connect to Azure for data collection. ETL configuration includes specifying the basic and optional advanced properties. While configuring the basic properties is sufficient, you can optionally configure the advanced properties for additional customization. A. Configuring the basic propertiesSome of the basic properties display default values. You can modify these values if required. To configure the basic properties:
(Optional) B. Configuring the advanced propertiesYou can configure the advanced properties to change the way the ETL works or to collect additional metrics. To configure the advanced properties:
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After you configure the ETL, you can run it to collect data. You can run the ETL in the following modes:
A. Simulation mode: Only validates connection to the data source, does not collect data. Use this mode when you want to run the ETL for the first time or after you make any changes to the ETL configuration.
B. Production mode: Collects data from the data source.
A. Running the ETL in the simulation mode
To run the ETL in the simulation mode:
- In the TrueSight Capacity Optimization console, navigate to Administration > ETL & System Tasks, and select ETL tasks.
- On the ETL tasks page, click the ETL. The ETL details are displayed.
- In the Run configurations table, click Edit to modify the ETL configuration settings.
- On the Run configuration tab, ensure that the Execute in simulation mode option is set to Yes, and click Save.
- Click Run active configuration. A confirmation message about the ETL run job submission is displayed.
- On the ETL tasks page, check the ETL run status in the Last exit column.
OK Indicates that the ETL ran without any error. You are ready to run the ETL in the production mode. - If the ETL run status is Warning, Error, or Failed:
- On the ETL tasks page, click in the last column of the ETL name row.
- Check the log and reconfigure the ETL if required.
- Run the ETL again.
- Repeat these steps until the ETL run status changes to OK.
B. Running the ETL in the production mode
You can run the ETL manually when required or schedule it to run at a specified time.
Running the ETL manually
- On the ETL tasks page, click the ETL. The ETL details are displayed.
- In the Run configurations table, click Edit to modify the ETL configuration settings. The Edit run configuration page is displayed.
- On the Run configuration tab, select No for the Execute in simulation mode option, and click Save.
- To run the ETL immediately, click Run active configuration. A confirmation message about the ETL run job submission is displayed.
When the ETL is run, it collects data from the source and transfers it to the TrueSight Capacity Optimization database.
Scheduling the ETL run
By default, the ETL is scheduled to run daily. You can customize this schedule by changing the frequency and period of running the ETL.
To configure the ETL run schedule:
- On the ETL tasks page, click the ETL, and click Edit. The ETL details are displayed.
On the Edit task page, do the following, and click Save:
- Specify a unique name and description for the ETL task.
- In the Maximum execution time before warning field, specify the duration for which the ETL must run before generating warnings or alerts, if any.
- Select a predefined or custom frequency for starting the ETL run. The default selection is Predefined.
- Select the task group and the scheduler to which you want to assign the ETL task.
Click Schedule. A message confirming the scheduling job submission is displayed.
When the ETL runs as scheduled, it collects data from the source and transfers it to the TrueSight Capacity Optimization database.
Verify that the ETL ran successfully and the Azure data is refreshed in the Workspace.
To verify whether the ETL ran successfully:
- In the TrueSight Capacity Optimization console, click Administration > ETL and System Tasks > ETL tasks.
- In the Last exec time column corresponding to the ETL name, verify that the current date and time are displayed.
If you see a Failed status in the Last exit column, see Microsoft Azure API ETL fails with certificate validation error to resolve the issue.
To verify that the Azure data is refreshed:
- In the TrueSight Capacity Optimization console, click Workspace.
- Expand (Domain_name_for Azure) > Systems.
In the left pane, verify that the hierarchy displays the new and updated Azure instances that you have provisioned in the Azure cloud.
Resource Manager deployment mode Classic deployment mode
- Click an Azure virtual machine instance, and click the Metrics tab in the right pane.
- Check if the Last Activity column in the Configuration metrics and Performance metrics tables displays the current date.
For information about the configuration and performance metrics data that this ETL collects, see the following topics:
Where to go from hereAfter data is collected, you can analyze and manage the capacity of Azure entities from the Azure views.
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