aws_cloudwatch_event_target: Add support for Sagemaker Pipeline Parameters

[crlliao]

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Description

Add ability to specify Sagemaker Pipeline Parameters when adding an Eventbridge Event Target. SageMaker Pipeline parameters are used to execute a SageMaker pipeline. Parameter names are static while parameter values can be either a static value or a dynamic JSON path to the event payload.

New or Affected Resource(s)

• aws_cloudwatch_event_target

Potential Terraform Configuration

resource "aws_cloudwatch_event_target" "sagemaker_pipeline" {
  arn  = "arn:aws:sagemaker:us-east-1:12345678910:pipeline/my_pipeline"
  role_arn = aws_iam_role.events_pipeline_role.arn
  rule = aws_cloudwatch_event_rule.trigger_my_pipeline.id

  sagemaker_pipeline_target {
      pipeline_parameters = {
          ProcessingInstanceType = "ml.c5.2xlarge",
          TrainingInstanceType   = "ml.c5.xlarge",
          InputData = "$.detail.s3bucket",
          EndpointInstanceType = "ml.m5.large"
         }
    } 
}

References

• https://docs.aws.amazon.com/sagemaker/latest/dg/pipeline-eventbridge.html

[george-chenvibes]

any updates on this?

[DrFaust92]

working on this

[github-actions[bot]]

This functionality has been released in v5.12.0 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.