DrDroid

Kubeflow Pipelines InvalidPipelineName error when creating or updating a pipeline.

The specified pipeline name is invalid or contains unsupported characters.

👤

Stuck? Let AI directly find root cause

AI that integrates with your stack & debugs automatically | Runs locally and privately

Download Now

What is Kubeflow Pipelines InvalidPipelineName error when creating or updating a pipeline.

Understanding Kubeflow Pipelines

Kubeflow Pipelines is a platform for building and deploying portable, scalable machine learning (ML) workflows based on Docker containers. It provides a set of tools to compose, deploy, and manage ML workflows on Kubernetes. The primary goal of Kubeflow Pipelines is to simplify the orchestration of complex ML workflows and enable reproducibility and collaboration.

Identifying the Symptom

When working with Kubeflow Pipelines, you may encounter an error message indicating an InvalidPipelineName. This error typically occurs when you attempt to create or update a pipeline with a name that does not meet the required naming conventions.

Common Error Message

The error message might look something like this:

Error: InvalidPipelineName - The specified pipeline name is invalid or contains unsupported characters.

Details About the InvalidPipelineName Issue

The InvalidPipelineName error arises when the pipeline name you provide does not adhere to the naming conventions enforced by Kubeflow Pipelines. These conventions are in place to ensure that pipeline names are valid identifiers within the Kubernetes ecosystem.

Naming Conventions

Pipeline names must start with a letter. They can only contain lowercase letters, numbers, and hyphens. Names must be between 1 and 63 characters long.

Steps to Fix the InvalidPipelineName Issue

To resolve the InvalidPipelineName error, follow these steps:

Step 1: Review the Pipeline Name

Ensure that the pipeline name you are using adheres to the naming conventions. Check for any unsupported characters or incorrect formats.

Step 2: Modify the Pipeline Name

If the pipeline name does not meet the conventions, modify it accordingly. For example, if your pipeline name is My_Pipeline_123, change it to my-pipeline-123.

Step 3: Update the Pipeline

Once you have a valid pipeline name, update your pipeline configuration with the new name. You can use the Kubeflow Pipelines UI or the command-line interface (CLI) to make these changes.

kubectl apply -f your_pipeline.yaml

Additional Resources

For more information on Kubeflow Pipelines and naming conventions, refer to the following resources:

Kubeflow Pipelines Overview Kubernetes Naming Conventions

Kubeflow Pipelines InvalidPipelineName error when creating or updating a pipeline.

TensorFlow

  • 80+ monitoring tool integrations
  • Long term memory about your stack
  • Locally run Mac App available
Read more

Time to stop copy pasting your errors onto Google!