Database outages pose significant risks to system architecture, often resulting in feature failures, cascading application breakdowns, and potential data loss. Traditional alert systems, which are often siloed, fail to provide a comprehensive picture of such outages, as they focus on isolated metrics like CPU usage. A more effective solution, as highlighted by Coralogix, is the use of Flow Alerts, which integrate multiple data types—such as logs, metrics, and traces—across different system components. Flow Alerts create a cohesive narrative of an outage by linking disparate events, allowing for a clearer understanding of the root issue and its downstream impacts. This approach breaks down data silos, enabling more precise and actionable insights into the conditions leading to database failures, thus improving the overall observability and responsiveness of system operations.