Azure Managed Redis AllocationFailed – Request failed due to insufficient capacity

Question

Azure Managed Redis AllocationFailed – Request failed due to insufficient capacity

Sandeep Kumar 0 Microsoft Employee

We have been deploying an Azure Managed Redis resource using the MemoryOptimized_M10 SKU in West US 2. Since roughly last week, the resource deployment has consistently started failing with an AllocationFailed – insufficient capacity error. We need help understanding whether we are hitting a capacity limit on our subscription/region, and if so, the process to get it increased.

We currently have only the following Azure Managed Redis instances running in West US 2:

2 × MemoryOptimized_M10 – Running
2 x Balanced_B3 instances – Running

Requests / questions

Is there a capacity limit for redis resource? If yes, what is the process to raise a request to increase it?

Manoj Kumar Boyini 18,355 Reputation points Microsoft External Staff Moderator

2026-06-29T14:45:49.53+00:00

Hi @Sandeep Kumar

The AllocationFailed – insufficient capacity error typically indicates that the selected SKU currently cannot be provisioned in the target region due to temporary capacity constraints.

Could you please try deploying the Azure Managed Redis instance in an alternative region and let us know whether the deployment succeeds there? We have occasionally observed capacity-related provisioning constraints in specific regions.

As an alternative, you may also wait and retry the deployment after some time, as regional capacity availability can change.

If the issue persists across multiple regions, please let us know and we'll investigate further.
Sandeep Kumar 0 Reputation points Microsoft Employee

2026-06-29T15:01:44.56+00:00

Hi @Manoj Kumar Boyini
Unfortunately, deploying to an alternative region is not an option for us — due to specific requirement.

We have also already retried the deployment several times over last week or so in the same region, and the AllocationFailed – insufficient capacity error persists for SKU MemoryOptimized_M10.

It works fine with Balanced_B3, everything same just different sku, so that rules out of having any other issue. But since we need MemoryOptimized_M10, hence, reaching out for help.

Thank you!
Manoj Kumar Boyini 18,355 Reputation points Microsoft External Staff Moderator

2026-07-03T13:01:58.8966667+00:00
Hi @Sandeep Kumar

Based on the error details, the deployment is currently being impacted by a regional capacity constraint for the underlying VM resources required by the MemoryOptimized_M10 SKU in West US 2. Azure attempted multiple supported VM sizes but encountered SkuNotAvailable due to capacity limitations.

Recommendations:

Retry the deployment after some time, as capacity constraints can be temporary and may be resolved when resources become available again.

Try an alternative SKU that meets your workload requirements.
Manoj Kumar Boyini 18,355 Reputation points Microsoft External Staff Moderator

2026-07-04T03:31:54.0266667+00:00

Hi @Sandeep Kumar

I hope you had a chance to review the information shared earlier, and I hope this information has been helpful! If you still have questions, please let us know what is needed in the comments so the question can be answered.

1 answer

Your answer

Manoj Kumar Boyini 18,355 Reputation points Microsoft External Staff Moderator

2026-06-29T14:45:49.53+00:00

Hi @Sandeep Kumar

The AllocationFailed – insufficient capacity error typically indicates that the selected SKU currently cannot be provisioned in the target region due to temporary capacity constraints.

Could you please try deploying the Azure Managed Redis instance in an alternative region and let us know whether the deployment succeeds there? We have occasionally observed capacity-related provisioning constraints in specific regions.

As an alternative, you may also wait and retry the deployment after some time, as regional capacity availability can change.

If the issue persists across multiple regions, please let us know and we'll investigate further.
Sandeep Kumar 0 Reputation points Microsoft Employee

2026-06-29T15:01:44.56+00:00

Hi @Manoj Kumar Boyini
Unfortunately, deploying to an alternative region is not an option for us — due to specific requirement.

We have also already retried the deployment several times over last week or so in the same region, and the AllocationFailed – insufficient capacity error persists for SKU MemoryOptimized_M10.

It works fine with Balanced_B3, everything same just different sku, so that rules out of having any other issue. But since we need MemoryOptimized_M10, hence, reaching out for help.

Thank you!
Manoj Kumar Boyini 18,355 Reputation points Microsoft External Staff Moderator

2026-07-03T13:01:58.8966667+00:00

Hi @Sandeep Kumar

Based on the error details, the deployment is currently being impacted by a regional capacity constraint for the underlying VM resources required by the MemoryOptimized_M10 SKU in West US 2. Azure attempted multiple supported VM sizes but encountered SkuNotAvailable due to capacity limitations.

Recommendations:

Retry the deployment after some time, as capacity constraints can be temporary and may be resolved when resources become available again.

Try an alternative SKU that meets your workload requirements.
Manoj Kumar Boyini 18,355 Reputation points Microsoft External Staff Moderator

2026-07-04T03:31:54.0266667+00:00

Hi @Sandeep Kumar

I hope you had a chance to review the information shared earlier, and I hope this information has been helpful! If you still have questions, please let us know what is needed in the comments so the question can be answered.

Answer 1

Hi Sandeep Kumar,

Thx for sharing urs issue here at Q&A portal. AllocationFailed usually means regional capacity is not available for that Redis SKU at deployment time. It’s not always the same as a visible subscription quota. Since existing MemoryOptimized_M10 instances are running but new ones fail in West US 2, this looks like SKU/region capacity pressure for Azure Managed Redis, not a config issue. U can try another region or a smaller/different SKU as a quick test. If those work, that confirms the issue is specific to MemoryOptimized_M10 capacity in West US 2.

https://learn.microsoft.com/en-us/azure/redis/overview

https://learn.microsoft.com/en-us/azure/azure-resource-manager/troubleshooting/error-resource-quota

https://azure.microsoft.com/en-us/support/create-ticket/

For quota & or capacity increase, open an Azure support request for Azure Managed Redis / capacity / quota and include region, SKU, number of instances requested, current running instances, UTC failure time, and full AllocationFailed error.

Rgds,

Alex

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