Why Binary CI/CD Quality Gates Fail at Scale (and a Risk-Based Alternative)
Introduction Most CI/CD pipelines rely on binary quality gates: tests pass or fail, coverage meets a threshold or it doesn’t, vulnerabilities are present or not. That model works well for small sys...

Source: DEV Community
Introduction Most CI/CD pipelines rely on binary quality gates: tests pass or fail, coverage meets a threshold or it doesn’t, vulnerabilities are present or not. That model works well for small systems. It starts to break down as systems grow larger, more distributed, and more regulated. In real-world enterprise environments, not all failures carry the same risk — yet CI pipelines often treat them as if they do. The Reality in Large and Regulated Systems In domains like insurance, healthcare, or finance, software systems support: Critical business workflows Regulatory and compliance requirements Long-lived platforms with varying levels of technical debt A test failure in a non-critical reporting workflow does not introduce the same level of risk as a failure in a claims-processing or patient-safety flow. Yet traditional quality gates evaluate both the same way. The result is usually one of two outcomes: Teams bypass gates to maintain delivery speed Pipelines block releases even when th