Runway logs every release action: who triggered each step, who approved each gate, which automated rules ran, and what health signals looked like at each rollout stage. Every commit and change is linked to the release it shipped in — making post-incident diagnosis fast without reconstructing events from Slack threads or CI logs.

Runway pulls crash-free rates, user ratings, and key observability events from your connected monitoring tools such as Datadog, Sentry, Crashlytics, and others. You define the thresholds. When a metric crosses one, Runway can automatically halt the rollout or send a Slack alert. Your team's definition of “healthy” drives the whole thing.

More AI-generated code means more (and faster) PRs, but review and testing practices weren't built for that volume. Subtle issues pass CI and surface in production at scale. Runway responds with configurable health thresholds, rollout automations that halt or accelerate based on those thresholds, and real-user monitoring from your existing observability stack, giving teams the visibility to manage that volume confidently and the automation to act on it without slowing down.