- 09 Sep 2024
- 2 Minutes to read
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Scaling Azure Resources
- Updated on 09 Sep 2024
- 2 Minutes to read
- Print
Microsoft Azure has resource capacity limitations that should be considered in advance of training events or classes, to avoid running into limitations during the use of the Cloud Slice lab. After the class or event is scheduled, it is a good idea to estimate the amount of resources that will be needed during the event based on the number of lab users and the amount of resources that each lab user will need.
A support request must be made to Microsoft to adjust the amount of resources that are available to use in the Azure Subscription. Depending on the resources requested, the region requested and severity of the request, it may take an extended amount of time for the support request to be fulfilled by Microsoft. To learn more about Azure quotas, select here Azure Quotas.
Requests are typically fulfilled by Microsoft within a few hours, depending on the amount of resources requested and the region requested. In some cases, it can take Microsoft several days or weeks to fulfill some requests, based on demand for the resources requested.
Submitting a Support Request to Microsoft
Select the '?' in the upper-right corner of the Azure portal
Select Help + support
Select New Support Request
Select Issue type, then select *Quota
Select Subscription (if there are multiple subscriptions listed, be sure to select the appropriate subscription)
Select Quota type. For example, you can choose Cores to increase the number of CPU cores that you want to be able to support in each region. See Azure Quota Types for more information.
Select Support plan
the 'i' icon reveals additional information. Selecting the icon enables the text to become stationary and easier to move the mouse to.
Select Next to proceed
Select Severity
Severity has 3 options; A - Critical impact, B - Moderate impact and C - Minimal impact.
Microsoft will downgrade requests marked with A Severity to B Severity, after the request is submitted.
Select Deployment model
Typically Resource Manager should be selected for Cloud Slice labs.
Select Location
select the location geographically closest to the location where Azure resources will be used.
If the closest region is known to be busy, select the next closest region.
Select Sku
For more information about Azure SKU families, see here.
Enter New limit amount
increases should only be requested for the amount of resources needed, to avoid overconsumption that could result in resources becoming unavailable to other users.
Complete Contact information details
Select Create to submit the request