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Glossary · Canary Deployment

Canary Deployment

A canary deployment is a release strategy that sends a new version to a small fraction of traffic first, monitoring it before rolling out to everyone.

By exposing only a sliver of users at first, a canary limits the blast radius of a bad change and provides real-world signal before full rollout.

For AI agents, canarying a new model or prompt against live outcomes catches regressions that offline evaluation can miss.

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Related terms
Regression Testing (AI)
Regression testing for AI is the practice of re-running a fixed set of evaluations after a change — a new model, prompt,…
Agent Monitoring
Agent monitoring is the ongoing observation of an AI agent in production — tracking its outputs, outcomes, errors, and c…
Observability
Observability is the ability to understand a system’s internal state from its external outputs — logs, metrics, and trac…
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