Field notes for platform engineers and SREs on cohort-aware canaries, auto-rollback, feature flag hygiene, and release observability. Written for the person on call, not the person approving the budget.
Feature flags without automatic rollback push MTTR up, not down. A breakdown of the incident math, the on-call tax, and what fixes it for platform engineering teams.
StrategyA business case model for automatic rollback: MTTR compression, on-call cost, and revenue-per-incident math VPs will accept. Includes the numbers to plug in.
ComplianceHow progressive delivery with automatic guardrails satisfies SOC 2 CC8.1 and ISO 27001 change management controls. What auditors ask for and how to evidence it.
PlaybooksA 90-day playbook to cut release-driven incidents by 60%. Cohort-aware guardrails, the halt-vs-rollback rule, and the ownership model that makes the number stick.
MetricsThe seven guardrail metrics that catch bad rollouts before customers notice: error rate, p95 latency, saturation, business KPIs, and the three most teams miss.
MetricsGlobal dashboards stay green while rollout cohorts break. A breakdown of the math behind the blind spot and how cohort-aware monitoring changes the equation.
FrameworksHow sequential probability ratio tests suppress false halts in progressive rollouts. Why threshold alerts fire on noise and how SPRT catches only real regressions.
FrameworksCanary deployments vs feature flags: when to use each, when to run both, and where they fail. A decision framework for platform engineers and release managers.
PlaybooksA platform engineering playbook for progressive rollouts with automatic guardrails. Includes the ramp schedule, the four guardrail metrics that matter, and the halt-vs-rollback rule.
PlaybooksA 24-hour zero-downtime backend rollout playbook. Ramp schedule, guardrail thresholds, cohort matching, and the rollback rules for shipping a risky service change safely.