Edit Pipeline
The Edit Pipeline page allows users to update pipeline configurations, including name, description, resource allocation, and scheduling settings.
The Edit Pipeline feature enables users to modify key configuration parameters of an existing data or ML pipeline. Users can update the pipeline name, description, compute resource allocation (Low, Medium, High), and optionally schedule automated runs. This functionality allows for agile adjustments to pipeline behavior based on evolving data, workloads, or operational requirements, ensuring optimized performance and maintainability across environments
Editing a Pipeline
The edit pipeline page will be launched for the selected pipeline.
You may edit the following information for a pipeline:
Pipeline Name: Update the pipeline's name to reflect changes in function, configuration, or purpose.
Pipeline Description: Enter or revise the description to clarify the pipeline's intent, functionality, or data flow for better documentation and collaboration.
Resource Allocation: Define the computational resource level required for executing the pipeline.
Low: Best for lightweight workloads.
Medium: Suitable for average data processing tasks.
High: Ideal for resource-intensive processing or ML workflows.
Schedule the pipeline: If enabled, this allows the user to define specific execution times or recurrence for automated pipeline runs.
Enable the Schedule Pipeline option.
More fields appear upon checking this option with scheduling configuration fields.
Users must configure all the required details to schedule the pipeline; unless this action is completed, the Save option remains disabled.
Click the Save option to save the committed modifications.
