Migration Guide
Migrate from Kubeflow Pipelines to Metaflow
ML pipeline migration: DAG definitions, container steps, artifact passing, and scheduling — from K8s-native to code-first.
What you get
Risk assessment
Blockers, warnings, and unknowns ranked by severity
Effort estimate
Hours, t-shirt size, and role breakdown
Cost estimate
Labor, infrastructure, and tooling cost range
Migration steps
Ordered execution plan with durations
Open questions
What still needs to be answered before you start
Draft config or code
Starter configs when the migration path supports it
How it works
Describe your migration
Select Kubeflow Pipelines as source and Metaflow as target. Add context about your setup — configs, docs, architecture notes.
Keshro runs the analysis
Keshro researches the path, finds similar past migrations, and generates a structured assessment with risks, effort, cost, and steps.
Get your plan
Review the migration plan, refine it with your team, and use it as a living document during execution.
Resources
Related migrations
Ready to plan your Kubeflow Pipelines to Metaflow migration?
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