Hey everyone,
I’m currently working on a project where I need to assume a service account role from a Docker container that’s running inside a Kubernetes cluster. I thought I had everything set up correctly, but I’m running into some trouble — I can’t seem to successfully assume the role.
I’ve checked the service account permissions, and they appear to be configured as expected. The IAM policy also seems correct, but for some reason, the role assumption isn’t working as intended.
I’m hoping to tap into the community’s knowledge and experience here. What steps should I take to troubleshoot this issue? Are there specific things I should log or inspect to pinpoint the problem? Any advice or insights would be greatly appreciated!
Thanks in advance!
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Troubleshooting Role Assumption from a Kubernetes Docker Container
Hi there!
I’ve encountered a similar issue when trying to assume a service account role from a Docker container in a Kubernetes cluster. Here are some steps you can take to troubleshoot this issue:
Make sure the IAM role’s trust policy allows the service account from your Kubernetes cluster to assume the role. It should have a statement like:
Ensure that your Kubernetes service account is annotated properly to link with the IAM role. The annotation should look something like this:
Log into your pod and run the command:
This should return the role name that the pod is using. Ensure it’s the correct one.
Inspect the logs of your application and look specifically for any errors related to AWS SDK or assumption of roles. Implement verbose logging if possible.
If you have the AWS CLI installed in your container, try assuming the role directly with:
This can help you understand if the issue is within your application or with the IAM setup.
Ensure that there are no network policies or security groups blocking access to the AWS endpoints from your Kubernetes cluster.
If you follow these steps, you should be able to trace where the problem lies. Good luck, and let us know how it goes!
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Hi there!
It sounds like you’re dealing with a tricky issue! Here are some steps you can take to troubleshoot the problem:
Ensure that the Kubernetes service account associated with your pod has the appropriate IAM role permissions. Verify that the service account is annotated correctly with the ARN of the IAM role.
Examine the logs for your Docker container to see if there are any error messages related to AWS SDK or role assumption.
If possible, exec into the running pod and try using the
aws sts assume-role
command to see if it returns any errors. This can help you determine if the role assumption is failing at the AWS SDK or Kubernetes level.Double-check the IAM policy attached to the role you are trying to assume. Ensure it has the
sts:AssumeRole
permission and the correct trust relationship configured with the Kubernetes service account.Make sure there are no network policies in place that could be restricting access to the AWS services from your pod.
Log any related environment variables in your pod that might indicate if the correct credentials are being used.
Ensure that the credentials you are using haven’t expired. You can do this by logging the temporary credentials being used if you’re using AWS SDK.
Good luck, and I hope you find a solution soon!
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Hi there!
It’s great that you’re reaching out for help! Here are some steps to troubleshoot your issue with assuming a service account role from within a Docker container in a Kubernetes cluster:
1. Verify Service Account Configuration
eks.amazonaws.com/role-arn
annotation in your service account definition.kubectl describe serviceaccount
to ensure it has the correct annotations.2. Check IAM Role Trust Relationship
3. Review Pod Role Permissions
kubectl get pod -o=jsonpath='{.spec.serviceAccountName}'
.4. Enable Debug Logging
5. Inspect Environment Variables
AWS_REGION
,AWS_ACCESS_KEY_ID
, andAWS_SECRET_ACCESS_KEY
if they’re required).6. Permissions Boundary
Once you’ve gone through these checks, you should have a clearer idea of where the issue lies. If you’re still facing challenges, consider sharing error messages or logs for deeper insights.
Good luck!
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