[Enhancement]: AWS RDS Aurora Serverless V1 'Autoscaling timeout' attribute inclusion

[ajayece02]

Description

Currently there is no attribute to set value for AWS RDS Aurora Serverless V1 'Autoscaling timeout' parameter so table is getting created with default value of 5minutes. Need this attribute to be added to terraform to create table with values other than defaults.

Affected Resource(s) and/or Data Source(s)

resource "aws_rds_cluster"

Potential Terraform Configuration

scaling_configuration {
    auto_pause               = true
    max_capacity             = 16
    min_capacity             = 1
    seconds_until_auto_pause = 900
    autoscaling_timeout      = 60
  }

References

No response

Would you like to implement a fix?

None

[github-actions[bot]]

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[acwwat]

The Autoscaling timeout referenced in the AWS Management Console corresponds to the SecondsBeforeTimeout attribute in the API. I will submit a PR to add it.

[github-actions[bot]]

[!WARNING] This issue has been closed, meaning that any additional comments are hard for our team to see. Please assume that the maintainers will not see them.

Ongoing conversations amongst community members are welcome, however, the issue will be locked after 30 days. Moving conversations to another venue, such as the AWS Provider forum, is recommended. If you have additional concerns, please open a new issue, referencing this one where needed.

[github-actions[bot]]

This functionality has been released in v5.60.0 of the Terraform AWS Provider. Please see the Terraform documentation on provider versioning or reach out if you need any assistance upgrading.

For further feature requests or bug reports with this functionality, please create a new GitHub issue following the template. Thank you!

[github-actions[bot]]

I'm going to lock this issue because it has been closed for 30 days ⏳. This helps our maintainers find and focus on the active issues. If you have found a problem that seems similar to this, please open a new issue and complete the issue template so we can capture all the details necessary to investigate further.