Delete a pipeline in CodePipeline
You can always edit a pipeline to change its functionality, but you might decide you want to delete it instead. You can use the AWS CodePipeline console or thedelete-pipeline command in the AWS CLI to delete a pipeline.
Delete a pipeline (console)
To delete a pipeline
Sign in to the AWS Management Console and open the CodePipeline console athttp://console.aws.amazon.com/codesuite/codepipeline/home.
The names and status of all pipelines associated with your AWS account are displayed.
InName, choose the name of the pipeline you want to delete.
On the pipeline details page, chooseEdit.
On theEdit page, chooseDelete.
Type
deletein the field to confirm, and then chooseDelete.This action cannot be undone.
Delete a pipeline (CLI)
To use the AWS CLI to manually delete a pipeline, use thedelete-pipeline command.
Deleting a pipeline is irreversible. There is no confirmation dialog box. After the command is run, the pipeline is deleted, but none of the resources used in the pipeline are deleted. This makes it easier to create a new pipeline that uses those resources to automate the release of your software.
To delete a pipeline
Open a terminal (Linux, macOS, or Unix) or command prompt (Windows) and use the AWS CLI to run thedelete-pipeline command, specifying the name of the pipeline you want to delete. For example, to delete a pipeline named
MyFirstPipeline:aws codepipeline delete-pipeline --nameMyFirstPipelineThis command returns nothing.
Delete any resources you no longer need.
Deleting a pipeline does not delete the resources used in the pipeline, such as the CodeDeploy or Elastic Beanstalk application you used to deploy your code, or, if you created your pipeline from the CodePipeline console, the Amazon S3 bucket CodePipeline created to store the artifacts of your pipelines. Make sure that you delete resources that are no longer required so that you are not charged for them in the future. For example, when you use the console to create a pipeline for the first time, CodePipeline creates one Amazon S3 bucket to store all artifacts for all of your pipelines. If you have deleted all of your pipelines, follow the steps inDeleting a Bucket.
