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Azure Virtual Machines

Azure Virtual Machines

Overview

What is Azure Virtual Machines?

Virtual Machines (VMs) are available on Microsoft Azure, providing what is built as a low-cost, per-second compute service, available via Windows or Linux.

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Recent Reviews

Let's talk about VMs

6 out of 10
April 05, 2022
Incentivized
We use Azure VMs for 2 main reasons. The first one, is when we need to do a lift&shift from on-prem to the cloud, where the main purpose …
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Databricks on Azure VMs

7 out of 10
April 05, 2022
I used Azure Virtual Machines in my last organization for deploying out Machine Learning model and related workloads on virtual machines. …
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Awards

Products that are considered exceptional by their customers based on a variety of criteria win TrustRadius awards. Learn more about the types of TrustRadius awards to make the best purchase decision. More about TrustRadius Awards

Popular Features

View all 5 features
  • Virtual machine automated provisioning (23)
    9.0
    90%
  • Live virtual machine backup (19)
    9.0
    90%
  • Live virtual machine migration (16)
    8.5
    85%
  • Management console (21)
    8.0
    80%

Reviewer Pros & Cons

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Pricing

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3 Year Reserved - Burstable VMs - B1S

$0.0038

Cloud
Per Hour

Spot - General Purpose - Av2

$0.005

Cloud
Per Hour

1 Year Reserved - Burstable VMs - B1S

$0.0059

Cloud
Per Hour

Entry-level set up fee?

  • No setup fee

Offerings

  • Free Trial
  • Free/Freemium Version
  • Premium Consulting/Integration Services
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Features

Server Virtualization

Server virtualization allows multiple operating systems to be run completely independently on a single server

8.6
Avg 8.3
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Product Details

What is Azure Virtual Machines?

Azure Virtual Machines Technical Details

Deployment TypesSoftware as a Service (SaaS), Cloud, or Web-Based
Operating SystemsUnspecified
Mobile ApplicationNo

Frequently Asked Questions

Virtual Machines (VMs) are available on Microsoft Azure, providing what is built as a low-cost, per-second compute service, available via Windows or Linux.

Reviewers rate Virtual machine automated provisioning and Live virtual machine backup highest, with a score of 9.

The most common users of Azure Virtual Machines are from Enterprises (1,001+ employees).
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Comparisons

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Reviews and Ratings

(88)

Attribute Ratings

Reviews

(1-7 of 7)
Companies can't remove reviews or game the system. Here's why
April 05, 2022

Let's talk about VMs

Score 6 out of 10
Vetted Review
Verified User
Incentivized
We use Azure VMs for 2 main reasons. The first one, is when we need to do a lift&shift from on-prem to the cloud, where the main purpose is to migrate a system as-is to the cloud before restructuring it. The second reason, is for specific needs where we can't solely rely on PaaS or SaaS services, and we need to have the flexibility provided by a lower level IaaS VM
  • Many presets are available when spinning up a new instances to match you workload, instead of having to start from scratch
  • VM Scale sets makes it really easy to scale in & out the VMs easily
  • When getting started, no need to manage a networking layer before starting a new instance, no need for any VPC complexitites, as Azure handles it.
  • VM Firewall and security rules can be managed directly from the Azure interface
  • Slightly more expensive that other cloud provider VMs
  • The spin up time is a little longer as well. Even a few seconds count when you need to scale up quickly
  • Lacking choices when choosing Linux based OS images
We tend to use as much App Services, and Serverless as we can. But what those win in ease of use and efficiency, they lack in flexibility. Many workloads cannot run on those services. Especially when you need heavy and time-consuming computing. Azure Virtual Machines on the other hand, give you anything you need in terms of flexibility, since you have access to the underlying OS, and for the fraction of the price. But as always, it's a tradoff, since you also need to manage, reboot, maintain, and patch those VMs
Karan Dua | TrustRadius Reviewer
Score 7 out of 10
Vetted Review
Verified User
I used Azure Virtual Machines in my last organization for deploying out Machine Learning model and related workloads on virtual machines. Our requirement was to enable automated deployment of our compute engine - Databricks, our ML models, and Airflow workflows on scalable virtual machines and Azure Virtual Machines was our choice in the last organization I worked with.
  • Rapid Scalability
  • Variety of elastic storage options
  • Flexibility and control for app deployment
  • Regular Updates for security and feature upgrades
  • Fault tolerance
  • Native Integration with Databricks
  • Pricing can be a bit better
  • Compute types can be increased (AWS EC2 has more)
  • No Bare metal GPU instances as in OCI
The VM deployment process is really simple in Azure Virtual Machines. But as I said earlier, compute types were a bit limited when I used it. In a few scenarios we had requirements for a Bare Metal GPU instance for high performance compute, but it wasn't available, so we had to look for alternatives.
Stacey Arjen | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Incentivized
Azure Virtual Machines are easy to configure and install and offer highly scalable and flexible possibilities with ready-to-use on-demand resource availability which enables our organization to optimize server and storage utilization capabilities. Easy on report creation and also easy to adjust functions to fit the way we work.
  • Always available and on-demand support.
  • Scalable and flexible product.
  • Easy to configure and install.
  • Customizing advanced setting is not easy to beginners.
  • Moving multiple data is not easy for starters.
  • Feedback collection from many sources is not also easy from the start.
Easy to extend our on-premises workloads to Microsoft Azure Virtual Machines and provides us with on-demand capabilities to storage and a highly flexible and scalable product. A secure product that protects our workloads and has very good controls to access and is cost-effective with the pay-as-you-go billing system and offers ready-to-use storage resources.
Filip Grasheski | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Incentivized
We use VMs for many different purposes:
- Isolated development machines for working with Azure cloud services.
- Hosting Jenkins master server used to deploy our Azure-based applications.
- Hosting Jenkins agents for CI/CD pipelines which are built on separate VNETs for dev, test, sim, and prod.
- Azure Data Factory integration runtime to run ADF pipelines.
  • Very easy to spin up.
  • Low amount of maintenance.
  • Low cost when using reserved instances.
  • Flexible in terms of supported OSs.
  • Additional security risk that needs to be managed.
  • Complexity to make replicas of a VM.
  • Potentially build and forget in larger enterprises which will drain money.
Using a self-hosted integration runtime with Azure Data Factory, although only supports Windows, will make it more expensive. Hosting DevOps tools, such as Jenkins, code scanners, etc. can be set up very easily and replicated if needed. Any kind of distributed architecture, like Selenium grid for GUI testing of applications, can be set up very easily because of the myriad of possibilities for OSs.
Score 10 out of 10
Vetted Review
Verified User
Incentivized
Capabilities of infrastructure were extended using Azure Virtual Machines.
The business problems the product addresses are many.
Some of them are:
1. Testing the applications on cross platforms. It is basically testing whether the software works in all the operating systems.
2. Automatic allotment of virtual machines based on the traffic encountered.
  • Provisioning
  • Scaling
  • Faster deployment
  • Swapping of OS disks is a bit difficult.
  • More features can be introduced for low size VMs.
Scaling up virtual machines is very easy and can be automated as well. Based on the inbound traffic, the virtual machines get scaled up and down. If the traffic is low, they scale down and if the traffic goes high, they scale up. Eventually, it saves the overall costs.
Score 8 out of 10
Vetted Review
Verified User
Incentivized
We use Azure Virtual Machines to mainly manage our end-user web platform utilizing its web app plans, we also sit VM servers behind this that contain the data for these web services along with some on-prem servers, we have a VPN direct to Azure and some VPNs direct to clients from our Azure services.
  • When demand is high, we scale the service out, eg During a Football Match.
  • When a football match is over and the throughput of data from OPTA drops we save by the service scaling back in.
  • Our App Service Plans along with the Clean C# code are lightening fast giving a good customer experience.
  • When producing the TV Guide information and a program overruns its scheduled time, a client can instantly be updated to the new programming schedule as our change is instant and its in the right place for all the clients to download and adjust their television guides appropriately to send out to the public giving a 24x7 uptime service that is precise and accurate and resilient to outages due to failover zones around the world.
  • Support on VMs doing strange things around NETUSE as a command resulted in constantly being sent over to INDIA where personally I found a real Language Barrier and even after specifically expressing a support service in the UK or the US it did keep finding its way back to a company called MINDTREE, the language barrier was such that after 4 or 5 meetings I was been asked the same questions that I was asked in the initial day 1 meeting and round and round it went, this issue was never resolved, we had to write code and utilize a different workaround to get over having to use the NETUSE command which previous to a VM running Windows server 2019 Datacentre worked fine.
  • Azure Pricing could be more competitive to AWS.
  • Having the ability to control app service plans which at the minute are just something that exists and we are not able to really see what they are doing which becomes an issue when you want to try and bug fix an issue.
It's well suited to delivering information about our sports events as during the events a lot of processing power is needed and instantly becomes available by scaling out when the event is over the service can be scaled right back making massive savings.
We use it for football, horse racing, Olympics games etc, it is also used when things happen in the world like right now there is a lot of concern over the Russia and Ukraine conflict, since the demand for this information is high we instantly scale to meet the demand of our news feed services. I believe up to 90% of the UK's News, sports and media information actually passes through our computer systems, we are a market leading news and information service and Azure Virtual Machines provide us with the reliability that we need so that we can provide a rock solid reliable news and information service to the world.
Alexandre Carvalho | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Incentivized
I build backup servers and repositories using the Azure VMs x86 infrastructure to backup clients.
  • Easy and fast to build.
  • A lot of features to manage and expand the VMs.
  • Intuitive UI makes you learn fast.
  • To swap an OS disk has some requirements, so not all disks are available to easily swap.
  • Would be good if the public IP assignments were fixed and would not change over time, by default.
  • Nothing else i can think of.
It is well suited for anyone who needs to run a VM (Windows or Linux). Really quick to deploy and start using it.
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