Open Source Summit + Embedded Linux Conference North America 2026

CI/CD has trained us to trust one signal: green means go. But modern systems don't fail in binary. A one-line UI tweak can trigger a 45-minute test marathon, while a risky change can go green and still take production down. The issue isn't "bad pipelines" - it's that pass/fail is no longer a reliable proxy for safe.

In this talk I introduce the Probabilistic Pipeline: shipping as risk management, not static gating. The pipeline produces a per-change risk/confidence score from signals you already have: diff blast radius, service criticality, incident hotspots, flaky tests, dependency/config deltas, and real-time system health (delivery events + telemetry). That score routes changes through adaptive lanes - Fast, Standard, Hardened - so low-risk work gets lightweight checks + automated canaries, while higher-risk work earns deeper validation, safer rollout, and tighter oversight.

You'll leave with a reference architecture, a concrete example and guardrails that keep trust: explainable scores, deterministic security/compliance hard floors, and a feedback loop that learns from outcomes. No ML background required - this is about practical delivery design.