In some cases you may encounter an allocation failure error when you are trying to perform an action which includes:
Below let’s take a look at the different versions of this error message that you may see depending on the type of operation that you are trying to perform and also let’s understand what an affinity group is and how it looks within a datacenter before finally taking a look at the reason and recommendations to avoid this allocation failure.
"Allocation failed; unable to satisfy constraints in request. The requested new service deployment is bound to an Affinity Group, or it targets a Virtual Network, or there is an existing deployment under this hosted service. Any of these conditions constrains the new deployment to specific Azure resources. Please retry later or try reducing the VM size or number of role instances. Alternatively, if possible, remove the aforementioned constraints or try deploying to a different region."
"Service allocation failure"
“The server encountered an internal error. Please retry the request.”
Affinity groups are a way you can group your cloud services by proximity to each other in the Azure datacenter in order to achieve optimal performance. When you create an affinity group, it lets Azure know to keep all of the services that belong to your affinity group as physically close to each other as possible. For example, if you want to keep the services running your data and your code together, you would specify the same affinity group for those cloud services. They would then run on hardware that is located close together in the datacenter. This can reduce latency and increase performance.
Windows Azure partitions nodes in a datacenter into clusters, with each cluster containing about a thousand nodes/blades. When you create an affinity group this affinity group is pinned/bound to a particular cluster. All services created within an affinity group are housed within a single cluster, and currently don’t span across clusters/datacenter.
In some cases as availability of free blades or free space within a blade in a cluster fluctuates, the constraints to find an allocation for the service may not be met. When these constraints are not satisfied, we return back an allocation failure error message.
To avoid this error create multiple affinity groups to house services that are not required to be placed together, spin up smaller numbers of VM’s at a time, ensure retry logic is in place when an operation is unsuccessful and also utilize multiple datacenters for your deployments.