Design an end-to-end MLOps architecture for a company transitioning from ad-hoc model development to production ML at scale. What components would you include, and how would they integrate?

Sample answer preview

Designing an MLOps architecture for production scale requires balancing immediate needs against long-term flexibility. The architecture should support the full ML lifecycle while enabling teams to iterate quickly and operate reliably. The data layer forms the foundation.