Run and Recurring Run
Out of dateThis guide contains outdated information pertaining to Kubeflow 1.0. This guide needs to be updated for Kubeflow 1.1.
A run is a single execution of a pipeline. Runs comprise an immutable log of all experiments that you attempt, and are designed to be self-contained to allow for reproducibility. You can track the progress of a run by looking at its details page on the Kubeflow Pipelines UI, where you can see the runtime graph, output artifacts, and logs for each step in the run.
A recurring run, or job in the Kubeflow Pipelines backend APIs, is a repeatable run of a pipeline. The configuration for a recurring run includes a copy of a pipeline with all parameter values specified and a run trigger. You can start a recurring run inside any experiment, and it will periodically start a new copy of the run configuration. You can enable/disable the recurring run from the Kubeflow Pipelines UI. You can also specify the maximum number of concurrent runs, to limit the number of runs launched in parallel. This can be helpful if the pipeline is expected to run for a long period of time and is triggered to run frequently.
- Read an overview of Kubeflow Pipelines.
- Follow the pipelines quickstart guide to deploy Kubeflow and run a sample pipeline directly from the Kubeflow Pipelines UI.
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