We are now in an era where Cloud Computing and virtual machine setup have become mainstream due to the global pandemic of 2020. Cloud computing is becoming a popular alternative to traditional business models and working methods for organizations and businesses around the globe. Virtual machines are becoming more important as companies and individuals shift to the cloud space. Microsoft Azure is a prominent cloud service provider that has consistently delivered great performance. This has also fueled the popularity of Azure Virtual Machine.
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Before we start setting up our Azure Virtual Machine, let us take a look at Azure Virtual Machines.
Understanding Azure Virtual Machines
Azure Virtual Machine is just one of many highly scalable computing resources that Azure offers on-demand. An Azure Virtual Machine will give you more control over your computing environment than other resources. Keep reading to learn if an Azure Virtual Machine is something you should consider and how to make it.
Azure Virtual Machine gives you the freedom to access a virtual platform without having to purchase and maintain the hardware necessary for the operation. While configuring, patching and installing softwares on Azure Virtual Machines is possible, you will need to have a plan in place.
Azure Virtual Machine can be used in many ways. Here are some examples:
Cloud Applications
Based on your business, your requirements for running applications will change constantly. Azure Virtual Machine is a cost-effective option that allows you to purchase additional virtual machines as needed. These virtual machines can be shut down when they are not in use.
Extended Data Center
It is easy to connect your network to an Azure Virtual Machine.
Development
Azure Virtual Machine is a viable option if you need a computer that has a specific configuration to write code or test an application.
No matter how large your requirement is, Azure Virtual Machine can scale up and streamline your workflows.
Considerations before creating an Azure virtual machine
There are many design considerations that you should consider when building an Azure application infrastructure. Before you decide to create an Azure Virtual Machine, here are some things you should consider:
Names of the Azure Virtual Machine application resources you use
The storage location
Azure Virtual Machine requires a large size
Maximum number of virtual computers you can create
The operating system for the Azure Virtual Machine
After starting up, configure the virtual machine
All the extensions and resources that the Azure Virtual Machine needs
Now that you have the basics of Azure Virtual Machine, it’s time to start creating virtual machines.
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Steps to create an Azure Virtual Machine
First, you can create an Azure virtual machine through the Azure portal. You can create virtual machines using a simple browser-based interface. This quick guide will show you how to deploy your Azure Virtual Machine.
Before you start, ensure that you have an active Azure subscription. Don’t worry if you don’t have an active Azure subscription. You can create a free account to get started with the following steps.
Step 1: Setting up Azure Virtual Machine
Once you have an active Azure subscription, log in to the Azure management portal at www.portal.azure.com.
Once you log in, go to the Navigation’ section and click on ‘New.’ Click on â€Marketplace. Hit ‘Commute.
Step 2: Selecting a Server Image for the Azure Virtual Machine
You will find a variety of virtual machine configurations as well as pre-configured images under the “Virtual Machines Marketplace” tab. You will also find official images from Microsoft and its partners. These images are best suited for a Windows-based Azure Virtual Machine deployment. Images can also be loaded from trusted partners such as Canonical or Red Hat.
You can choose any of the available images. You can preview all information associated with the image by selecting it.
Next, choose the deployment model you need for your chosen image. The most recommended deployment model is “Resource Manager”.
Once you have selected the deployment model, click on