Back to radar
Production AI Radar
MLflow
Open-source model registry and experiment tracking - default starting point for mid-market MLOps.
AdoptMLOpsNew
- Why this ring
- Mature OSS with wide adoption; self-host for EU data residency or use managed where approved.
- Production risk if ignored
- Teams skip registry and deploy notebooks directly - no version control.
- Typical effort
- weeks
- Low FinOps impact
Use cases
- Experiment tracking
- Model promotion workflow
- Audit trail for model changes
Adoption steps
- Deploy tracking server
- Migrate one model end-to-end
- Add CI eval gate
- Train team on promotion tags
Related tools
In your assessment
Registry deployment model + access control review