Datadog Database Monitoring (DBM) is a tool designed to help teams proactively identify and address query regressions, which are unintended increases in query execution time that can cascade across services, affecting performance and user experience. By establishing historical baselines and utilizing anomaly detection, DBM automatically detects deviations in query performance and categorizes them based on severity, allowing teams to prioritize their efforts effectively. It provides visibility into the underlying causes of regressions by correlating them with contextual signals such as changes in query workload, user activity, schema modifications, and recent deployments. This approach enables database owners to maintain system reliability and performance without excessive resource allocation or unnecessary query optimization efforts. Through the use of DBM, users can receive timely alerts and recommendations, helping to manage database query performance and mitigate potential disruptions before they escalate into larger issues.