Zero-Downtime AI Agent Deployments with Blue/Green and Canary Strategies

AI agent deployments are higher-risk than standard software deployments because behavioral changes are harder to detect until they cause customer impact. Blue/green deployment maintains two identical production environments. The new version deploys to the inactive environment, gets validated, and traffic switches atomically. Rollback is instant — just flip traffic back. The downside is double the infrastructure cost. Canary deployment routes a percentage of traffic (1%, 5%, 10%) to the new version and monitors quality metrics before full rollout. This is the preferred strategy for agent updates because you can detect accuracy regressions on real traffic before they affect all users. Shadow deployment runs the new agent in parallel with production but discards its outputs — useful for catching errors before any user impact. Implement deployment gates: automated checks that halt rollout if deflection rate drops, error rate rises, or CSAT falls below threshold during canary. Never rely on manual monitoring alone.