Tutorial: Assess VMware VMs for migration to Azure VMs

As part of your migration journey to Azure, you assess your on-premises workloads to measure cloud readiness, identify risks, and estimate costs and complexity.

This article shows you how to assess discovered VMware virtual machines (VMs) in preparation for migration to Azure VMs, using the Azure Migrate: Server Assessment tool.

In this tutorial, you learn how to:

  • Run an assessment based on machine metadata and configuration information.
  • Run an assessment based on performance data.

Note

Tutorials show the quickest path for trying out a scenario, and use default options where possible.

If you don't have an Azure subscription, create a free account before you begin.

Prerequisites

Before you follow this tutorial to assess your machines for migration to Azure VMs, make sure you've discovered the machines you want to assess:

Decide which assessment to run

Decide whether you want to run an assessment using sizing criteria based on machine configuration data/metadata that's collected as-is on-premises, or on dynamic performance data.

Assessment Details Recommendation
As-is on-premises Assess based on machine configuration data/metadata. Recommended Azure VM size is based on the on-premises VM size.

The recommended Azure disk type is based on what you select in the storage type setting in the assessment.
Performance-based Assess based on collected dynamic performance data. Recommended Azure VM size is based on CPU and memory utilization data.

The recommended disk type is based on the IOPS and throughput of the on-premises disks.

Run an assessment

Run an assessment as follows:

  1. On the Servers page > Windows and Linux servers, click Assess and migrate servers.

    Location of Assess and migrate servers button

  2. In Azure Migrate: Server Assessment, click Assess.

    Location of the Assess button

  3. In Assess servers > Assessment type, select Azure VM.

  4. In Discovery source:

    • If you discovered machines using the appliance, select Machines discovered from Azure Migrate appliance.
    • If you discovered machines using an imported CSV file, select Imported machines.
  5. Specify a name for the assessment.

  6. Click View all to review the assessment properties.

    Location of the View all button to review assessment properties

  7. In Assessment properties > Target Properties:

    • In Target location, specify the Azure region to which you want to migrate.
      • Size and cost recommendations are based on the location that you specify.
      • In Azure Government, you can target assessments in these regions
    • In Storage type,
      • If you want to use performance-based data in the assessment, select Automatic for Azure Migrate to recommend a storage type, based on disk IOPS and throughput.
      • Alternatively, select the storage type you want to use for VM when you migrate it.
    • In Reserved Instances, specify whether you want to use reserve instances for the VM when you migrate it.
      • If you select to use a reserved instance, you can't specify 'Discount (%), or VM uptime.
      • Learn more.
  8. In VM Size:

    • In Sizing criterion, select if you want to base the assessment on machine configuration data/metadata, or on performance-based data. If you use performance data:
      • In Performance history, indicate the data duration on which you want to base the assessment
      • In Percentile utilization, specify the percentile value you want to use for the performance sample.
    • In VM Series, specify the Azure VM series you want to consider.
      • If you're using performance-based assessment, Azure Migrate suggests a value for you.
      • Tweak settings as needed. For example, if you don't have a production environment that needs A-series VMs in Azure, you can exclude A-series from the list of series.
    • In Comfort factor, indicate the buffer you want to use during assessment. This accounts for issues like seasonal usage, short performance history, and likely increases in future usage. For example, if you use a comfort factor of two: Component | Effective utilization | Add comfort factor (2.0) Cores | 2 | 4 Memory | 8 GB | 16 GB
  9. In Pricing:

    • In Offer, specify the Azure offer if you're enrolled. Server Assessment estimates the cost for that offer.

    • In Currency, select the billing currency for your account.

    • In Discount (%), add any subscription-specific discounts you receive on top of the Azure offer. The default setting is 0%.

    • In VM Uptime, specify the duration (days per month/hour per day) that VMs will run.

      • This is useful for Azure VMs that won't run continuously.
      • Cost estimates are based on the duration specified.
      • Default is 31 days per month/24 hours per day.
    • In EA Subscription, specify whether to take an Enterprise Agreement (EA) subscription discount into account for cost estimation.

    • In Azure Hybrid Benefit, specify whether you already have a Windows Server license. If you do and they're covered with active Software Assurance of Windows Server Subscriptions, you can apply for the Azure Hybrid Benefit when you bring licenses to Azure.

  10. Click Save if you make changes.

    Assessment properties

  11. In Assess Servers, click Next.

  12. In Select machines to assess, select Create New, and specify a group name.

  13. Select the appliance, and select the VMs you want to add to the group. Then click Next.

    Add VMs to a group

  14. In **Review + create assessment, review the assessment details, and click Create Assessment to create the group and run the assessment.

    Note

    For performance-based assessments, we recommend that you wait at least a day after starting discovery before you create an assessment. This provides time to collect performance data with higher confidence. Ideally, after you start discovery, wait for the performance duration you specify (day/week/month) for a high-confidence rating.

Review an assessment

An assessment describes:

  • Azure readiness: Whether VMs are suitable for migration to Azure.
  • Monthly cost estimation: The estimated monthly compute and storage costs for running the VMs in Azure.
  • Monthly storage cost estimation: Estimated costs for disk storage after migration.

To view an assessment:

  1. In Servers > Azure Migrate: Server Assessment, click the number next to Assessments.

  2. In Assessments, select an assessment to open it. As an example (estimations and costs for example only):

    Assessment summary

  3. Review the assessment summary. You can also edit the assessment properties, or recalculate the assessment.

Review readiness

  1. Click Azure readiness.

  2. In Azure readiness, review the VM status:

    • Ready for Azure: Used when Azure Migrate recommends a VM size and cost estimates, for VMs in the assessment.
    • Ready with conditions: Shows issues and suggested remediation.
    • Not ready for Azure: Shows issues and suggested remediation.
    • Readiness unknown: Used when Azure Migrate can't assess readiness, because of data availability issues.
  3. Select an Azure readiness status. You can view VM readiness details. You can also drill down to see VM details, including compute, storage, and network settings.

Review cost estimates

The assessment summary shows the estimated compute and storage cost of running VMs in Azure.

  1. Review the monthly total costs. Costs are aggregated for all VMs in the assessed group.

    • Cost estimates are based on the size recommendations for a machine, its disks, and its properties.
    • Estimated monthly costs for compute and storage are shown.
    • The cost estimation is for running the on-premises VMs on Azure VMs. The estimation doesn't consider PaaS or SaaS costs.
  2. Review monthly storage costs. The view shows the aggregated storage costs for the assessed group, split over different types of storage disks.

  3. You can drill down to see cost details for specific VMs.

Review confidence rating

Server Assessment assigns a confidence rating to performance-based assessments. Rating is from one star (lowest) to five stars (highest).

Confidence rating

The confidence rating helps you estimate the reliability of size recommendations in the assessment. The rating is based on the availability of data points needed to compute the assessment.

Note

Confidence ratings aren't assigned if you create an assessment based on a CSV file.

Confidence ratings are as follows.

Data point availability Confidence rating
0%-20% 1 star
21%-40% 2 stars
41%-60% 3 stars
61%-80% 4 stars
81%-100% 5 stars

Learn more about confidence ratings.

Next steps