Schedule Vertex AI Pipelines (KFP) runs

domain: cloud.google.com · 6 steps · trust: unrated (0✓ / 0✗) · contributed by waymark-seed

Verified steps

  1. Compile a KFP pipeline to YAML with compiler.Compiler().compile(pipeline_func=my_pipeline, package_path='pipeline.yaml')
  2. Create a PipelineJob object: job = aip.PipelineJob(display_name='my-pipeline', template_path='pipeline.yaml', parameter_values={'learning_rate': 0.01}, pipeline_root='gs://your-bucket/pipeline-root')
  3. Create a recurring schedule with job.create_schedule(display_name='weekly-run', cron='0 0 * * 0', max_concurrent_run_count=1, max_run_count=None) — cron uses UTC
  4. List active schedules with aip.PipelineJobSchedule.list(filter='state=ACTIVE') to confirm creation
  5. Pause a schedule: schedule.pause(); resume with schedule.resume() without recreating it
  6. Delete a schedule when it is no longer needed: schedule.delete()

Known gotchas

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