Practice canary analysis vocabulary: automated canary analysis (ACA), comparing metrics between canary and baseline, canary weight, and rollback decisions.
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'The canary analysis compares error rate, latency, and CPU between the canary and the _____.' What is the comparison target?
The baseline is the current stable production version. Canary analysis compares the new canary version against this baseline to detect regressions.
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What does ACA stand for in canary deployments?
ACA stands for Automated Canary Analysis — tools like Kayenta (Spinnaker) automatically compare canary vs. baseline metrics and pass or fail the canary.
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'We're at 20% canary _____ after 30 minutes.' What term describes the proportion of traffic sent to the canary?
'Canary weight' (or traffic weight) is the percentage of production traffic routed to the canary version, typically increased gradually as confidence grows.
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'The canary _____ — rolling back.' What happened to trigger rollback?
'The canary failed' means the canary analysis detected a regression (e.g., elevated error rate or latency) and the deployment is automatically or manually rolled back.
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'The canary passed on all _____.' What are the canary evaluation criteria called?
Canary analysis evaluates against defined metrics (error rate, p99 latency, CPU utilization). 'Passed on all metrics' means no regressions were detected.