Design a dynamic, risk-based quality gate system

Tests if you can move CI/CD from binary pass/fail to contextual risk scoring. Strong answers define criticality tiers, weight signals by severity and blast radius, and emit GO/CAUTION/STOP states.
Tests whether you can design CI/CD gates that evaluate release risk contextually instead of relying on binary pass/fail rules. A strong answer identifies service criticality tiers, aggregates heterogeneous quality signals like test failures, vulnerabilities, and blast radius, applies domain-specific weights, and produces human-interpretable GO, CAUTION, or STOP outcomes. Red flag: recommending stricter coverage thresholds for critical services without a decision framework that explains how risk is computed, concentrated, and audited.
Read the original → dev.to
- #cicd
- #devops
- #quality-gates
- #systems-design
- #automation
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