Azure DevOps: How to Move Name Pair from Azure Cloud to Hci Stack Server

Azure Policy / (ARM) templates / Azure Automation / Azure Devops .

There are several ways to take Azure named value pairs to Azure HCI (Hyper-Converged Infrastructure) machines. Here are a few options:

Azure Policy: You can use Azure Policy to define and assign named value pairs to your Azure HCI machines. This allows you to centrally manage and enforce compliance for your Azure HCI environment.

Azure Resource Manager (ARM) templates: ARM templates allow you to deploy and manage resources in Azure. You can use ARM templates to deploy Azure HCI machines along with the named value pairs that you want to configure.

Azure Automation: You can use Azure Automation to automate the deployment of your Azure HCI machines. This allows you to take advantage of pre-built scripts and runbooks to deploy your machines and configure the named value pairs.

Azure DevOps: You can use Azure DevOps to automate the deployment of your Azure HCI machines. You can use Azure DevOps to create a pipeline that will deploy your machines and configure the named value pairs.

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Create a new policy definition

Create a new policy definition: In the Azure portal, navigate to the Azure Policy service and click on "Definitions". Click on the "+ New" button to create a new policy definition. Select "Custom Policy" as the definition type.

Define the policy rule: In the policy definition, you can use the JSON language to define the rule that you want to apply to your Azure HCI machines. This rule should specify the named value pairs that you want to configure and the values that they should be set to.

Assign the policy: Once you have created the policy definition, you can assign it to your Azure HCI machines. In the Azure Policy service, click on "Assignments" and then "+ New" to create a new assignment. Select the policy definition that you created and specify the Azure HCI machines that you want to apply the policy to.

Monitor compliance: You can monitor the compliance of your Azure HCI machines by navigating to the Azure Policy service and clicking on "Compliance". This will show you a list of all the policies that you have assigned and the compliance status of each machine.

Remediation: Azure Policy allows you to set automatic remediation for non-compliant resources, which can automatically fix the issues that are causing non-compliance. You can define the remediation action in the policy definition and choose to run it automatically or manual.

Create an ARM template

Create an ARM template: In the Azure portal, navigate to the Azure Resource Manager service and click on "Templates". Click on the "+ Add" button to create a new ARM template. You can also use Azure CLI, PowerShell or Azure DevOps to create the ARM template.

Define the resources: In the ARM template, you can use the JSON language to define the resources that you want to deploy. This should include the Azure HCI machines that you want to create, as well as any other resources that are required (e.g. virtual network, storage account, etc.).

Define the named value pairs: You can use the ARM template to define the named value pairs that you want to configure. This can be done by adding them as parameters in the template and then referencing them in the resource deployment.

Deploy the template: Once you have defined the resources and the named value pairs, you can deploy the template. In the Azure portal, navigate to the Azure Resource Manager service and click on "Deployment". Click on the "+ Create Deployment" button to deploy the template.

Monitor the deployment: You can monitor the progress of the deployment by navigating to the Azure Resource Manager service and clicking on "Deployment". This will show you the status of the deployment, as well as any errors or issues that may have occurred.

Updating: ARM templates allow you to update the deployed resources, you can use the same template and change the parameters to update the resources.

Create an Automation account: In the Azure portal, navigate to the Azure Automation service and click on "Create Automation Account". Provide a name and select the subscription, resource group and location for the automation account.

Create Runbook

Create a runbook: In the Azure Automation service, navigate to "Runbooks" and click on "+ Create a runbook". Select "PowerShell" or "Python" as the runbook type, and provide a name for the runbook.

Write the script: In the runbook, you can use PowerShell or Python to write a script that automates the deployment of your Azure HCI machines. The script should include commands to create the HCI machines, configure the named value pairs, and perform any other tasks that are required.

Test the script: Before you can use the script to deploy your machines, you should test it to make sure that it works as expected. You can test the script by running it in the Azure Automation service, and checking the output to ensure that the HCI machines are created and configured correctly.

Schedule the runbook: Once you are satisfied that the script is working as expected, you can schedule the runbook to run automatically. You can schedule the runbook to run at a specific time or based on a schedule (e.g. daily, weekly)

Monitor the runbook: You can monitor the progress of the runbook by navigating to the Azure Automation service and clicking on "Jobs". This will show you the status of the runbook, as well as any errors or issues that may have occurred.

Create a new Azure DevOps project:

Create a new Azure DevOps project: In the Azure DevOps portal, navigate to the Azure DevOps Projects service and click on "New Project". Provide a name and select the process template and visibility level for the project.

Create a new pipeline: In the Azure DevOps project, navigate to "Pipelines" and click on "+ New" to create a new pipeline. Select "Azure Resource Manager (ARM)" as the pipeline type and choose the appropriate repository where your ARM templates are located.

Configure the pipeline: In the pipeline, you can configure the tasks that you want to run. This should include tasks to deploy the Azure HCI machines, configure the named value pairs, and perform any other tasks that are required.

Add variables: You can define the variable that holds your named value pairs as pipeline variable and reference them in the tasks.

Test the pipeline: Before you can use the pipeline to deploy your machines, you should test it to make sure that it works as expected. You can test the pipeline by running it in the Azure DevOps, and checking the output to ensure that the HCI machines are created and configured correctly.

Schedule the pipeline: Once you are satisfied that the pipeline is working as expected, you can schedule the pipeline to run automatically. You can schedule the pipeline to run at a specific time or based on a schedule (e.g. daily, weekly)

Monitor the pipeline: You can monitor the progress of the pipeline by navigating to the Azure DevOps project and clicking on "Pipelines". This will show you the status of the pipeline, as well as any errors or issues that may have occurred.

You can also use Azure DevOps to store your ARM templates and manage their versions and you can use Azure DevOps to set the security and permissions for the pipeline.

Please note that the pipeline syntax may vary depending on the specific requirements of your scenario and the Azure DevOps settings you are using. You should consult the Azure DevOps documentation for more information on how to create and configure a pipeline.