Designs a canary and percentage rollout with numeric abort gates expressed relative to a concurrent baseline (error rate, p95/p99 latency, saturation, one business KPI), minimum sample sizes, bake times per step, which gates abort automatically versus page a human, a kill switch that works when the flag service is down, and the flag removal plan, then writes the Rollout plan section of the Release Dossier. Works with LaunchDarkly, Unleash, OpenFeature providers, or homegrown flags, and with any CI or deploy tool. Use when someone asks "how should we roll this out", "what percentage do we start at", "when do we abort the canary", "set up a kill switch", "what metrics gate the rollout", or when release-risk-classifier requires progressive rollout. Do NOT use for analysing an experiment's statistical result - use ab-test-analyzer instead; for flag taxonomy and lifecycle policy, use feature-flags; for the schema side of a release, use zero-downtime-db-migrations.
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name: progressive-rollout
description: Designs a canary and percentage rollout with numeric abort gates expressed relative to a concurrent baseline (error rate, p95/p99 latency, saturation, one business KPI), minimum sample sizes, bake times per step, which gates abort automatically versus page a human, a kill switch that works when the flag service is down, and the flag removal plan, then writes the Rollout plan section of the Release Dossier. Works with LaunchDarkly, Unleash, OpenFeature providers, or homegrown flags, and with any CI or deploy tool. Use when someone asks "how should we roll this out", "what percentage do we start at", "when do we abort the canary", "set up a kill switch", "what metrics gate the rollout", or when release-risk-classifier requires progressive rollout. Do NOT use for analysing an experiment's statistical result - use ab-test-analyzer instead; for flag taxonomy and lifecycle policy, use feature-flags; for the schema side of a release, use zero-downtime-db-migrations.
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