An Azure service that provides a general-purpose, serverless container platform.
Hi @KataSle-2013 ,
Azure Container Apps environments in a VNet still depend on underlying AKS capacity in the chosen region, so when you hit the AKS capacity issue, the environment deployment can fail even if your subscription is paid.
- Error code:
ManagedEnvironmentCapacityHeavyUsageError - Underlying cause: “AKS is experiencing heavy usage in region west/europe…”
This is consistent with an AKS regional capacity constraint: when demand is high, Azure can’t allocate the compute needed to provision the AKS components used by the Container Apps environment.
- Try creating the environment again later
Capacity constraints like this are often emporaryMicrosoft notes they are working to add capacity, and resources may become available after other deployments complete or are deallocated. So a simple retry after some time is a valid mitigation.
- Consider adjusting AKS-related deployment settings (if applicable)
For the same class of AKS capacity errors (AKSCapacityHeavyUsage), guidance suggests that different AKS configurations can sometimes land on different capacity pools, such as:
- trying public vs. private cluster configuration (or the reverse), depending on what you can change for your scenario.
(Whether this applies directly to Container Apps Environment depends on how your environment is configured, but it’s the closest relevant mitigation we have for “capacity heavy usage.”)
- Use an Azure region with AKS capacity (but you said you can’t)
The recommended workaround for AKS capacity heavy usage is typically to deploy in another region. However, since you need the Container Apps environment to be in west-europe because your VNet is already there, that may not be feasible for you.
- If available, use an Enterprise Agreement (EA) subscription
For AKS capacity heavy usage, guidance indicates that EA subscriptions can be prioritized during high-demand periods. If your organization has an EA subscription option, it may help.
- wait and retry, and track whether the deployment begins succeeding after capacity increases.
Hope this helps!
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