RunConfiguration

The RunConfiguration resource represents the lifecycle of recurring runs (aka Jobs in KFP). Pipeline training runs can be configured using this resource as follows:

apiVersion: pipelines.kubeflow.org/v1alpha5
kind: RunConfiguration
metadata:
  name: penguin-pipeline-recurring-run
spec:
  run:
    pipeline: penguin-pipeline:v1-abcdef
    experimentName: penguin-experiment
    runtimeParameters:
    - name: TRAINING_RUNS
      value: '100'
    artifacts:
    - name: serving-model
      path: 'Pusher:pushed_model:0[pushed == 1]'
  triggers:
    schedules:
    - '0 * * * *'
    onChange:
    - pipeline
    runConfigurations:
    - dependency-rc

A Run Configuration can have one of more triggers that determine when the next training run will be started.

Fields

Name	Description
`spec.run`	Definition of any runs created under this run configuration. See Runs for more details.
`spec.triggers.schedules[]`	Cron schedules to execute training runs. It can have 5 (standard cron) or 6 (first digit expresses seconds) fields. When a provider does not support the 6-field format, seconds will be omitted.
`spec.triggers.onChange[]`	Resource attributes that execute training runs. `pipeline` triggers when the referenced pipeline changes. `runSpec` triggers when this resource’s spec.run field has changed.
`spec.triggers.runConfigurations[]`	RunConfigurations to watch for completion - a run for this RunConfiguration will start every time any of the listed dependencies has finished a run successfully.