TrialMLOpsNew
- Why this ring
- Approachable for mid-market Python teams; assess Dagster when asset lineage is the main need.
- Production risk if ignored
- Flow sprawl without ownership - same problem as unmanaged Airflow DAGs.
- Typical effort
- weeks
- Low FinOps impact
Use cases
- ML pipelines
- Eval batches
- Ingestion schedules
Adoption steps
- Deploy Prefect
- Migrate one cron
- Wire notifications
- Tag cost center
Related tools
In your assessment
Flow inventory + SLAs