Recently, I’ve appreciated the improvements in Azure Virtual Machines around automation and integration with other Azure services. Features like automatic scaling, improved monitoring through Azure Monitor, and easier integration with security tools such as Microsoft Defender for Cloud make it much simpler to manage workloads in production environments. I also like how flexible VM deployment has become through infrastructure-as-code tools like ARM templates and Terraform, which helps streamline deployments and maintain consistent environments. Review collected by and hosted on G2.com.

While Azure Virtual Machines are very powerful, cost management can still be challenging if resources are not monitored closely. It would be helpful to have even clearer cost optimization recommendations directly within the VM management experience. Additionally, simplifying some networking and configuration options could make the platform easier for teams that are newer to Azure infrastructure. Review collected by and hosted on G2.com.

What I like best about Azure Virtual Machines is the flexibility and scalability it offers. It’s easy to quickly spin up VMs with different configurations based on workload needs, and it integrates seamlessly with other Azure services like Azure Networking, Storage, and Backup. The reliability, security features, and global availability of data centers make it suitable for both development and production workloads. Additionally, the pay-as-you-go pricing model helps optimize costs while maintaining performance. Review collected by and hosted on G2.com.

What I dislike about Azure Virtual Machines is that connecting to the VM—especially through the Azure portal—can sometimes take longer than expected. Initial startup times, RDP/SSH connection delays, and occasional networking or authentication latency can slow down workflows. Troubleshooting connection issues is not always straightforward and may require navigating multiple Azure services, which can be time-consuming for users who need quick access. Review collected by and hosted on G2.com.

Azure Virtual Machines provide flexible compute options and integrate well with other Azure services. They make it easy to provision scalable infrastructure and support a wide range of operating systems and workloads. Review collected by and hosted on G2.com.

Cost management can be challenging, and the pricing model is not always easy to understand. The portal and configuration options can also feel complex for new users. Review collected by and hosted on G2.com.

It's the flexibility to quickly deploy and scale resources according to my needs. Integration with other Azure services simplifies management, and I can choose from a wide range of operating systems and configurations. Review collected by and hosted on G2.com.

The price can be high when scaling multiple instances, especially for long-term workloads; some collaborations with other manufacturers cannot be supported. Review collected by and hosted on G2.com.

Pricing, scalability, burstable performance, SQL Server Agent, and reservations. Bicep deploying. Review collected by and hosted on G2.com.

Pricing for smal projects, small tiers are very slow and limited. Free tier insufficient Review collected by and hosted on G2.com.

Azure VM are highly realiable, scalable and comes with very high standards of security as Microsoft spends a lot on security. They are easy to Implement according to our needs with great support. Review collected by and hosted on G2.com.

Sometimes cost is an concern as compared to other peers in market. Review collected by and hosted on G2.com.

I like best about Azure Virtual Machines is the scalability and flexibility which allowing seamless resource allocation based on workloads demands, and the robust security features integrated with azure services. Review collected by and hosted on G2.com.

I dislike about Azure Virtual Machines is the pricing model, which is complex and challenging to predict expenses accurately. Review collected by and hosted on G2.com.

Microsoft Azure is the safest cloud computing provider for deploying our webapps and AI models. It has multiple data centers in our region for better and faster connection. It has provided multiple data storage ranging from databases to buckets for all our needs. It has provided us all these services with high end security and scalability features. Review collected by and hosted on G2.com.

Their GPU machines are a bit costly and are limited too. Review collected by and hosted on G2.com.

Azure Compute (Azure Virtual machine) offer great control and give multiple options of operating systems and components like RAM, Disk, Graphics ect.. You can migrate your local servers, data to azure compute easily and start using it on cloud. VMs are highly customizable, scalable and you can tailor VM size, applications as per your needs. Review collected by and hosted on G2.com.

If you dont use the VMs/ compute in a optimized manner, it may lead to higher costs due to there granular control and pay as you go service. Review collected by and hosted on G2.com.

Its is versatile,hybrid capabilies ,scalabilty ,secure and intereged with microsoft make this easy Review collected by and hosted on G2.com.

Cost and plans is the thing that i dont like. It should be more like what we pay for use not to create resources or creating Host and not using it. Review collected by and hosted on G2.com.