Datadog APM now provides Automatic Faulty Deployment Detection to help modern software development teams deploy features quickly while mitigating the risk of faulty deployments. This feature uses machine learning algorithms to spot faulty deployments within minutes, reducing mean time to detection (MTTD). Once detected, it provides detailed information about the affected service, including error types, error rates, request rates, and latency metrics. Automatic Faulty Deployment Detection also enables users to troubleshoot faulty deployments quickly by exploring service traces, create alerts to notify their team of a faulty deployment, and proactively set alerts to monitor future deployments. By using this feature, teams can deploy with confidence, reduce the risk of user-facing bugs, and maintain both velocity and quality in their development process.