Making Deployments Safe at Meta: Health Checks for Continuous Change-Safety

The paper outlines Meta’s deployment time health check infrastructure, called Service Health Checker, which mediates the trade‑off between rapid release velocity and system reliability across thousands of heterogeneous services. It explains how check authors compose templated metric queries, thresholds, and workflow predicates, and how the system integrates with tiered and phased rollouts to trigger automatic rollback on regressions. The authors also discuss operational challenges that arose at scale—such as noise, alert fatigue, drift, and uncovered regressions—and the measurement, tooling, and default improvements they implemented to address these issues, concluding with lessons learned and future directions including AI‑assisted tuning.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv AI.

• safety