CLI example: Create and manage a Linux pool in Azure Batch

These script demonstrates some of the commands available in the Azure CLI to create and manage a pool of Linux compute nodes in Azure Batch.

Open Azure Cloud Shell

Azure Cloud Shell is a free, interactive shell that you can use to run the steps in this article. Common Azure tools are preinstalled and configured in Cloud Shell for you to use with your account. Select Copy to copy the code, paste it in Cloud Shell, and then press Enter to run it. There are a few ways to open Cloud Shell:

Select Try It in the upper-right corner of a code block. Example of Try It for Azure Cloud Shell
Open Cloud Shell in your browser. Launch Azure Cloud Shell button
Select the Cloud Shell button on the menu in the upper-right corner of the Azure portal. Cloud Shell button in the Azure portal

If you choose to install and use the CLI locally, this quickstart requires that you are running the Azure CLI version 2.0.20 or later. Run az --version to find the version. If you need to install or upgrade, see Install Azure CLI.

Example script


# Create a resource group.
az group create --name myResourceGroup --location westeurope

# Create a Batch account.
az batch account create \
    --resource-group myResourceGroup \
    --name mybatchaccount \
    --location westeurope

# Authenticate Batch account CLI session.
az batch account login \
    --resource-group myResourceGroup \
    --name mybatchaccount

# Retrieve a list of available images and node agent SKUs.
az batch pool node-agent-skus list

# Create a new Linux pool with a virtual machine configuration. The image reference 
# and node agent SKUs ID can be selected from the ouptputs of the above list command.
# The image reference is in the format: {publisher}:{offer}:{sku}:{version} where {version} is
# optional and defaults to 'latest'.
az batch pool create \
    --id mypool-linux \
    --vm-size Standard_A1 \
    --image canonical:ubuntuserver:16.04-LTS \
    --node-agent-sku-id "batch.node.ubuntu 16.04"

# Resize the pool to start some VMs.
az batch pool resize \
    --pool-id mypool-linux \
    --target-dedicated 5

# Check the status of the pool to see when it has finished resizing.
az batch pool show \
    --pool-id mypool-linux

# List the compute nodes running in a pool.
az batch node list \
    --pool-id mypool-linux

# If a particular node in the pool is having issues, it can be rebooted or reimaged.
# The ID of the node can be retrieved with the list command above.
# A typical node ID is in the format 'tvm-xxxxxxxxxx_1-<timestamp>'.
az batch node reboot \
    --pool-id mypool-linux \
    --node-id tvm-123_1-20170316t000000z

# One or more compute nodes can be deleted from the pool, and any
# work already assigned to it can be re-allocated to another node.
az batch node delete \
    --pool-id mypool-linux \
    --node-list tvm-123_1-20170316t000000z tvm-123_2-20170316t000000z \
    --node-deallocation-option requeue

Clean up deployment

Run the following command to remove the resource group and all resources associated with it.

az group delete --name myResourceGroup

Script explanation

This script uses the following commands. Each command in the table links to command-specific documentation.

Command Notes
az group create Creates a resource group in which all resources are stored.
az batch account create Creates the Batch account.
az batch account login Authenticates against the specified Batch account for further CLI interaction.
az batch pool node-agent-skus list Lists available node agent SKUs and image information.
az batch pool create Creates a pool of compute nodes.
az batch pool resize Resizes the number of running VMs in the specified pool.
az batch pool show Displays the properties of a pool.
az batch node list Lists all the compute node in the specified pool.
az batch node reboot Reboots the specified compute node.
az batch node delete Deletes the listed nodes from the specified pool.
az group delete Deletes a resource group including all nested resources.

Next steps

For more information on the Azure CLI, see Azure CLI documentation.