The error “VMAllocationFailure: Allocation failed; unable to find a size that works with the available resources” occurs when Azure cannot allocate the requested Virtual Machine (VM) size in the specified region due to insufficient resources in that region or availability zone.

Steps to Troubleshoot the Error

  • Check Available VM Sizes in the Region:

Step 1. Go to the Azure Portal and navigate to your desired region.

Step 2. Check the available VM sizes for that region by going to the Virtual Machines blade and selecting Size. Ensure that the size you are requesting is available in the region.

Step 3. You can also use the Azure CLI or PowerShell to list available VM sizes for a region:

Microsoft Azure
  • Try a Different VM Size:

Step 1. If the requested VM size is unavailable, try selecting another size that meets your resource requirements.

Step 2. Consider using a different SKU with similar specifications but might be available in the region.

Step 3. If the larger size is unavailable, use virtual machine scale sets or autoscaling options to distribute the workload across multiple smaller VMs.

  • Deploy in a Different Availability Zone or Region:

Step 1. If the region or zone where you are trying to deploy the VM is at capacity, try deploying the VM in a different availability zone within the same region, or in a different region altogether.

Step 2. Be mindful of network latency and service interdependencies when changing regions.

  • Check Quota Limits:

Step 1. Ensure that your subscription’s quota limits for VM cores or other resources have not been exceeded in the region. You can check this in the Usage + quotas section of the Azure portal.

Step 2. If you are reaching quota limits, you can request a quota increase:

  1. Go to the Azure Portal.
  2. Navigate to Help + Support > New Support Request.
  3. Select Quota as the issue type and request an increase for the specific VM size and region.
  • Wait for Capacity to Become Available:

In some cases, regional resource constraints are temporary. You can try again later when resources may have been freed up.

Xieles helps you with issues in deploying virtual machine in Azure.