midMLOps
What is canary deployment in MLOps?
Updated May 17, 2026
Short answer
Canary deployment gradually rolls out a new model to a small subset of users first.
Deep explanation
Instead of full deployment, a small percentage of traffic is routed to the new model. If performance is stable, rollout is increased. It reduces risk of failures in production.
Real-world example
Deploying a new ranking model to 5% of search traffic first.
Common mistakes
- Skipping monitoring during rollout.
Follow-up questions
- How is it different from A/B testing?
- What risks does it reduce?