ML in Production, Part 8: Canary Deployments for Model Updates

Deploying a new model version to 5% of traffic while monitoring both model-specific and business metrics is the right approach. The routing layer and rollback trigger that make it practical.

Overview

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Series

Part of ML in Production (installment 8).

Related notes

• Ml Drift Monitoring Production
• Llm Evaluation Without Gold Dataset

Tags

• mlops
• canary-deployment
• machine-learning
• production
• monitoring