Why it matters

Canary detects issues before full rollout. Understanding shapes safe deploys.

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The architecture

1% traffic to new; monitor error rate, quality metrics.

Gradually increase (10%, 50%, 100%).

Canary progression1% canarymonitorScale to 10-50%if healthyFull rolloutor rollbackAutomated: metrics-based auto-scaling of canary percentage
Canary rollout.
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How it works end to end

Monitoring: error rate, latency, quality metrics (LLM-judge on sampled).

Auto-scaling: some tools (Flagger) auto-adjust canary %.

Feature flags: fine-grained user-level control.