Workflow Deep Dive

Source: Dev.to

End-to-end MLOps retraining loop

Short, advanced explainer — practical & principle‑focused.

Workflow

1. Data versioning (DVC) ensures reproducibility.
2. Kubeflow pipelines orchestrate training stages.
3. Model registry controls promotions.
4. Prometheus/Grafana monitor live drift KPIs.

Key takeaway: Confidence > speed. Guardrails and observability turn velocity into reliability.

Deep dive