Azure Virtual Machines

About Azure Virtual Machines

Azure Virtual Machines is Microsoft Azure's infrastructure-as-a-service compute offering for running Windows and Linux workloads with control over virtual machine size, operating system, disks, networking and availability architecture. It is a strong fit when an organization needs server-level control or must migrate applications that are not ready for a more managed platform. That control also means the customer remains responsible for more operating-system, patching, application, backup and security work than with services such as Azure App Service or Azure Functions.

What are Azure Virtual Machines used for?

Azure Virtual Machines are used for workloads that need configurable server instances in the cloud. Common scenarios include lifting and shifting existing Windows or Linux servers, hosting custom applications, running development and test environments, supporting commercial software, building self-managed application tiers, and operating workloads that require administrator access to the operating system.

Microsoft supports a broad range of Windows and Linux images and documents compatibility with workloads including SQL Server, Oracle, IBM and SAP scenarios. The important buyer question is whether the application really needs a virtual machine. A VM provides flexibility, but the customer still owns much of the operating environment. If a managed database, container platform, app platform or serverless service can meet the requirement, that option may reduce ongoing administration.

How do VM sizes, disks and networking affect the design?

Azure offers many virtual machine sizes so teams can choose different combinations of CPU, memory, storage performance and accelerator capabilities for their workload. The correct size should be based on measured application requirements rather than simply matching the physical server being replaced. Oversizing can create unnecessary cost, while undersizing can cause performance problems that are wrongly blamed on the cloud platform.

Virtual machines also depend on other Azure resources. Microsoft recommends Managed Disks for VM storage, and network design can include virtual networks, private addresses, public IP addresses, load balancing and security controls. Storage, outbound data transfer, public IP options and related services can add charges beyond the VM compute meter, so buyers should calculate the complete architecture rather than comparing only an hourly VM price.

How should organizations plan availability and resilience?

Microsoft provides several availability options for Azure Virtual Machines. Availability Zones are physically separated zones inside supported Azure regions. Microsoft states that deploying two or more VM instances across two or more Availability Zones in the same region can provide a virtual machine connectivity SLA of at least 99.99 percent. Virtual Machine Scale Sets can manage groups of load-balanced VMs and can automatically increase or decrease instance counts in response to demand or schedules.

Availability architecture is not automatic. A single VM remains a single point of failure even when the underlying Azure platform is resilient. Applications that require higher availability should be designed with multiple instances, appropriate load balancing, replicated data and tested recovery procedures. Region and zone support also varies by service and VM size, so the target region must be checked before a design is finalized.

How does Azure Virtual Machines pricing work?

Azure Virtual Machines do not have one fixed product price. Cost varies by region, operating system, VM size, usage duration, attached storage and other services. Microsoft offers pay-as-you-go pricing for flexible usage. For stable workloads, Azure Reserved Virtual Machine Instances use one-year or three-year commitments and Microsoft currently advertises potential savings of up to 72 percent compared with pay-as-you-go for eligible Windows and Linux VMs, based on January 2026 pricing examples.

Azure savings plan for compute is another commitment model that applies discounts when a customer commits to a fixed hourly spend. Microsoft currently cites potential VM savings up to 65 percent in an example based on January 2026 pricing. These are maximum examples rather than guaranteed discounts. Buyers should use the current Azure pricing calculator and their actual region, VM size and usage pattern before committing.

When do Azure Spot Virtual Machines make sense?

Azure Spot Virtual Machines use spare Azure compute capacity at a discount and are intended for workloads that can tolerate interruption. Microsoft currently advertises discounts up to 90 percent compared with pay-as-you-go, with actual savings depending on region, VM type and available capacity.

The tradeoff is eviction risk. Microsoft can evict a Spot VM when Azure needs the capacity back or when the current Spot price exceeds the maximum price configured by the customer. Spot is therefore better suited to batch processing, fault-tolerant workers, development jobs and other restartable workloads than to a single production server that must stay online. Applications using Spot should be designed to handle interruption rather than treating the lower price as a normal VM discount.

What operational responsibilities remain with the customer?

Azure Virtual Machines give customers more control than many managed Azure services, but that also leaves more operational work with the customer. Teams need to manage the guest operating system, application configuration, patching strategy, endpoint protection, identity and access, backups, monitoring and recovery according to the workload design. Microsoft manages the underlying Azure infrastructure, but using a VM does not remove normal server administration.

Migration projects should also account for dependencies such as IP addresses, DNS, firewall rules, certificates, storage performance, service accounts and application licensing. A direct server copy can reproduce technical debt in the cloud. Before migrating, teams should decide whether each workload should stay on VMs or be modernized onto a managed service where Microsoft operates more of the platform.

Who should choose something else?

Teams building a standard web application may prefer Azure App Service when they do not need operating-system administration. Containerized workloads that need Kubernetes orchestration may fit Azure Kubernetes Service, while event-driven code may be better suited to Azure Functions. Managed database services can also reduce the work involved in operating database software on a VM.

Azure Virtual Machines are the stronger choice when server-level control, custom software, legacy compatibility or specialized operating-system access is genuinely required. Buyers should choose VMs because the workload needs infrastructure control, not simply because virtual servers are familiar. The most important comparison is the total operating responsibility and cost of the VM-based design against the Azure managed-service alternative.