AWS Bedrock Error: 'ServiceQuotaExceededException' Persists After Approval
A diagnostic guide for resolving continued Bedrock quota errors after an AWS quota increase has been approved.
Problem
You receive confirmation from AWS that a Bedrock quota increase has been approved, but invocations still fail with:
ServiceQuotaExceededException: The request exceeds the service quota.
Typical symptoms:
- The quota request shows Approved in Service Quotas
- Errors persist unchanged after approval
- Retries and backoff do not help
- IAM, model access, and payload are correct
Clarifying the Issue
This is not a throttling problem and not a failed quota request.
It occurs when the approved quota is not being applied to the execution context actually making the request.
The most common causes are:
- Region mismatch (approved in one region, invoked in another)
- Propagation delay between approval and enforcement
- Wrong quota type approved (model/metric mismatch)
- Wrong account executing the request (cross-account setups)
The error string remains the same, which makes this failure easy to misdiagnose.
Why It Matters
This issue commonly appears in “Day 2” operations when:
- Teams deploy to multiple regions
- CI/CD or runtime defaults differ from console settings
- Cross-account execution is introduced
- Production traffic resumes immediately after approval
Engineers often re-request quota increases unnecessarily instead of fixing context alignment.
Key Terms
- Service quota – A hard usage limit enforced by AWS
- Applied quota – The quota value currently active in a region
- Propagation delay – Time for quota changes to take effect
- Execution region – Region actually used by the runtime or SDK
Steps at a Glance
- Confirm the quota was approved for the correct region
- Verify the execution region used by the application
- Check the specific quota type approved
- Allow time for propagation
- Retest with an explicit region
Detailed Steps
1. Confirm the Approved Region
In the AWS console:
- Open Service Quotas
- Navigate to AWS services → Amazon Bedrock
- Select the approved quota
- Verify the Region column
Quota approvals are per region.
Approval in us-east-1 does not apply to us-west-2.
2. Verify the Execution Region
Determine where your request is actually running.
CLI
aws configure get region
Environment variables
echo $AWS_REGION
echo $AWS_DEFAULT_REGION
Managed services
- Lambda → function region
- ECS / EC2 → task or instance region
- CI/CD → pipeline execution region
Do not assume the region — confirm it.
3. Check the Approved Quota Type
Ensure the approved quota matches:
- The model you are invoking
- The metric being exceeded (RPM vs TPM)
For example:
- Increasing a request-rate quota will not fix a token-rate violation
- Increasing one model’s quota does not affect another model
4. Allow for Propagation Delay
Quota changes are not always immediate.
Typical behavior:
- Some updates apply within minutes
- Others take up to several hours
Avoid repeated retries or additional quota requests during this window.
5. Retest with Explicit Context
Validate using the CLI and an explicit region:
aws bedrock-runtime invoke-model \
--region us-east-1 \
--model-id amazon.titan-text-express-v1 \
--body '{"inputText":"Hello"}' \
output.json
If this succeeds, the original failure was caused by context mismatch or propagation delay.
Pro Tips
- Quota approvals do not retroactively fix the wrong region
- Multi-region deployments require quota checks per region
- Cross-account executions use quotas from the target account
- Re-requesting quotas without fixing context delays resolution
Conclusion
When ServiceQuotaExceededException persists after approval, the quota itself is rarely the problem.
Once:
- The approved quota matches the execution region
- The correct quota type is increased
- Propagation has completed
AWS Bedrock invocation resumes normally inside Amazon Web Services.
Confirm the region.
Confirm the quota.
Wait if needed.
Retry the call.
Aaron Rose is a software engineer and technology writer at tech-reader.blog and the author of Think Like a Genius.
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