Split's alert policies provide a proactive monitoring system that enables teams to define thresholds and receive immediate notifications when critical metrics decline, facilitating rapid response and issue mitigation. These policies are particularly beneficial for managing engineering guardrail metrics, which are likely to be impacted shortly after a new feature release. Users can configure specific degradation thresholds for different environments and customize notifications, attaching relevant action guides for when an alert is triggered. By employing a 1-sided t-test for significant differences, Split ensures that alerts are only fired when there is confidence in a metric's degradation, minimizing false positives. This approach allows for the automatic detection of issues and faster deployment cycles, empowering teams to make informed, data-driven product decisions with confidence. Split also offers a comprehensive platform for feature management, including feature flags, A/B testing, and contextual data integration, enabling teams to deploy and experiment with features safely and efficiently.