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fix (sagemaker): increase mlflowTrackingServerTimeout #41463

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Description

As mentioned in issue #41436 , the 30-minute timeout is not always sufficient for creating an MLflow tracking server.. This PR increases the timeout to 45 minutes.

Relations

Closes #41436

References

The mlflowTrackingServerTimeout is being used by the waitMlflowTrackingServerCreated, waitMlflowTrackingServerUpdated and waitMlflowTrackingServerDeleted functions.

@henriquelucasdf henriquelucasdf requested a review from a team as a code owner February 19, 2025 15:31
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@github-actions github-actions bot added service/sagemaker Issues and PRs that pertain to the sagemaker service. needs-triage Waiting for first response or review from a maintainer. labels Feb 19, 2025
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Welcome @henriquelucasdf 👋

It looks like this is your first Pull Request submission to the Terraform AWS Provider! If you haven’t already done so please make sure you have checked out our CONTRIBUTOR guide and FAQ to make sure your contribution is adhering to best practice and has all the necessary elements in place for a successful approval.

Also take a look at our FAQ which details how we prioritize Pull Requests for inclusion.

Thanks again, and welcome to the community! 😃

@justinretzolk justinretzolk added bug Addresses a defect in current functionality. timeouts Pertains to timeout increases. and removed needs-triage Waiting for first response or review from a maintainer. labels Feb 19, 2025
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bug Addresses a defect in current functionality. service/sagemaker Issues and PRs that pertain to the sagemaker service. timeouts Pertains to timeout increases.
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Successfully merging this pull request may close these issues.

[Bug]: aws_sagemaker_mlflow_tracking_server times-out on creation
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