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Managing AWS service limits and quotas

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During deployment and operation of the service on AWS, customers are responsible for managing AWS service limits (quotas) to ensure the workload can scale as expected and avoid deployment or runtime failures.

How service limits are handled

•Before deploying the service, assess the expected AWS resource consumption (for example, EC2 instances and VPCs) and compare it against the default service quotas for your AWS account and region.

•Use the AWS Service Quotas console or AWS CLI to view current quotas and usage for relevant services and identify any limits that may be reached as the service scales.

•If the planned deployment or anticipated growth exceeds a default quota, proactively request a quota increase for the relevant service and region using the Service Quotas or AWS Support workflows.

Prescriptive guidance for customers

Customers should:

1.Review quotas before deployment

•Check quotas for all services used by the deployment (for example, EC2, ECS/EKS, NLB, etc.).

•Include buffer capacity for scaling, failover, and peak load scenarios.

2.Request quota increases in advance

•Use the Service Quotas console path:

a.Open Service Quotas in the AWS Management Console.

b.Select the relevant AWS service.

c.Choose the specific quota and request an increase with a realistic but conservative target value.

•For services not yet supported by Service Quotas, request a limit increase via AWS Support.

3.Monitor and adapt over time

•Configure monitoring or alerting (for example, via Amazon CloudWatch or custom scripts) to detect when usage approaches critical quotas.

•Revisit and adjust quotas periodically as the workload grows or as new environments (such as Staging or DR) are added.

4.Leverage AWS best practice references

•See the AWS documentation on Service limits, AWS service quotas, and Requesting a quota increase for authoritative guidance and step by step instructions.

By following these practices, customers can manage AWS service limits and quotas proactively and ensure that the deployment and operation of the service remain unimpeded by quota related constraints.

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