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pipeline

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leandrodamascena
leandrodamascena commented Aug 28, 2021

I'm trying to build a pipeline to send artifacts to AWS CodeArtifact and I'm having issues with some strange behavior.

Expected Behavior

Execute successfully login into AWS CodeArtifact

Actual Behavior

I can't because task definitions replace single and double quotes and aws cli can't understand or taskrun tries to run dotnet command, but dotnet is a command argument and not a command

kedro
jx
msvticket
msvticket commented Nov 2, 2018

Summary

When creating docker images for Java applications in the current setup in Jenkins-X the application and all dependencies are all placed in one jar file, meaning it will be in one layer in the docker image.

This means that when new versions of the application are created the unchanged dependencies can't be reused.

It would be a great enhancement if the application code where p

benhyy
benhyy commented Aug 29, 2021

What steps did you take

Code gets stuck in infinite loop is SageMaker training job gets stopped (unhandled use case)

What happened:

https://github.com/kubeflow/pipelines/blob/master/components/aws/sagemaker/train/src/sagemaker_training_component.py#L57-L66

Above code only caters for training job status Completed or Failed, so if the training job status is marked as `Stopped

timbaileyjones
timbaileyjones commented Aug 12, 2019

While testing another PR, I found that mu pipeline logs command displays information from the pipelines, but also shows this error:

$ mu pipeline logs
[... normal, expected output ...]
func1 ▶ ERROR  ResourceNotFoundException: The specified log group does not exist.
	status code: 400, request id: f7260741-7f69-4772-b4cc-7c6a9c22d264

This error does not occur with the `-f

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