Administer infrastructure resources in Azure
Learn how to create, manage, secure and scale virtual machine resources.
Prerequisites
None
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Modules in this learning path
Learn about the decisions you make before creating a virtual machine, the options to create and manage the VM, and the extensions and services you use to manage your VM.
Learn about standards and practices for planning, deploying, managing, and optimizing Linux VMs in Azure.
Azure allows you to use several common provisioning tools to deploy Linux virtual machines (VMs), to include Terraform, Bicep, the Azure portal, and the Azure CLI. In this module, you'll learn how to deploy a Linux virtual machine using each of these methods.
Azure virtual machines (VMs) enable you to create dedicated compute resources in minutes that can be used just like a physical desktop or server machine.
Learn how to use the cross-platform Azure CLI to create, start, stop, and perform other management tasks related to virtual machines in Azure.
Deploy the Azure Update Management solution to update virtual machines in your cloud environment.
Learn how to configure networking in a secure way for your Azure virtual machines.
Write JSON Azure Resource Manager templates (ARM templates) by using Visual Studio Code to deploy your infrastructure to Azure consistently and reliably.
Understand and create the different types of disk storage available to Azure virtual machines (VMs).
Moving data as fast as possible is good for business. Learn about disk performance in Azure, how caching can help optimize read and write access to storage, and how to enable caching to help optimize the performance of Azure VM disks.
Use Azure Disk Encryption (ADE) to encrypt OS and data disks on existing and new virtual machines (VMs).
Create a desired state configuration script that checks that IIS is installed. Onboard virtual machines (VMs) for management by Azure Automation. Automatically install IIS on the VMs where that feature is missing.
Learn how to monitor your Azure VMs by using Azure Monitor to collect and analyze VM host and client metrics and logs.