Azure sets four-stage lifecycle policy for virtual machine families

Microsoft Azure has introduced a Virtual Machine Lifecycle policy that sorts VM series into four stages: Current, Extended, End of Life and Retired. According to Microsoft, the policy is meant to give customers transparency, predictability and guidance when older technology is phased out.
- Azure's new VM Lifecycle policy defines four stages: Current, Extended, End of Life and Retired.
- General Purpose, Memory Optimized, Compute Optimized and Storage Optimized VMs are the first families covered.
- End of Life VMs face restricted new deployments and quota requests, and customers should expect pricing and availability changes.
- Retired VMs lose SLA coverage and Microsoft support, and existing VMs will be deallocated.
- Azure Advisor and Azure Service Health help customers find upcoming retirements and track migration progress.
Four stages and the first covered families
The policy provides a shared taxonomy and consistent commitments for how Microsoft communicates technology changes. The first VM families covered are Azure General Purpose, Memory Optimized, Compute Optimized and Storage Optimized VMs.
Microsoft says the lifecycle rests on three customer outcomes. Transparency means customers can see the lifecycle status of a technology, Microsoft's level of ongoing investment and the recommended path forward. Predictability means defined stages and advance notice as technologies progress. Guidance covers help to modernize, including AI-led tooling to speed up workload transitions and recommendations.
Microsoft notes that the details are general guidance and may be subject to product-specific, regional or operational exceptions.
What each stage means
Current. These VMs are recommended for new deployments. They receive standard maintenance and support and are generally available across Azure regions globally. Pay-as-you-go pricing and Azure Savings Plans apply, and Azure Reserved VM Instances may also be offered.
Extended. These VMs remain supported for existing workloads, but customers should begin evaluating and planning a move to Current VMs. Standard maintenance and support continue, and the VMs stay generally available across multiple regions, though quota restrictions may apply. Pay-as-you-go and Savings Plans remain, Reserved Instances may be offered, and changes to purchasing options and pricing are possible.
End of Life. A VM enters this stage when its retirement is formally announced. Microsoft describes these VMs as based on older platform generations that do not benefit from the latest advances in performance, security, reliability and efficiency. Customers should actively plan to move to VMs in the Current or Extended stages. Support continues, and Azure will provide notifications, migration tooling and guidance.
Retired. Retired VMs can no longer be provisioned. They are no longer covered by a service level agreement (SLA) and are not eligible for Microsoft support. New VM creation is unavailable and existing VMs will be deallocated.
Availability and pricing at End of Life
The End of Life stage carries the most notable operational changes. Existing customers can keep using these VMs in currently supported regions and within their existing quota allocations, subject to available capacity. New deployments and quota requests are subject to restriction.
Microsoft says it will deploy new workload placement capabilities for VMs at this stage. According to the company, customers may see minor workload performance variations in rare scenarios, but existing Azure Virtual Machines SLAs will be met. Microsoft says these capabilities improve capacity availability for End of Life VMs and support continued investment in modern hardware, new capabilities and global scale.
On pricing, pay-as-you-go and Azure Savings Plans remain available, while Reserved Instances may no longer be offered. Microsoft states that customers should expect changes to pricing and availability once VMs reach this stage.
Tools and what it means for customers
Azure Advisor and Azure Service Health let customers discover upcoming VM retirements, identify affected resources and track modernization progress, with recommended actions built in. Microsoft also says it is investing in AI-augmented tools that apply lifecycle guidance across an entire workload portfolio.
For organizations running Azure VMs, the policy gives a defined sequence to plan around. Teams on General Purpose, Memory Optimized, Compute Optimized or Storage Optimized series can check which stage their VMs are in and watch for changes in quota, purchasing options and pricing. Those on Extended VMs are advised to begin planning a move, while those on End of Life VMs are told to transition actively. Microsoft calls the policy an important step toward making modernization easier to plan and execute.
Microsoft Azure: Enhancing Microsoft Azure Virtual Machine lifecycle


