Our platform experienced performance issues due to a sudden spike in database traffic. This led to slow response times, connection timeouts, and service disruptions for users.

The root cause was excessive concurrent queries that pushed the database CPU usage to 99%, causing operations to slow down significantly. As a result, the number of active connections exceeded the maximum limit, forcing users into a queue and leading to further overload. We also observed QueuePool limit overflow, indicating that the system could not handle the surge in requests efficiently.

To resolve the issue, we restarted the database to clear the backlog of connections and applied a fix to optimize connection handling. Additionally, we adjusted database settings and implemented temporary traffic throttling to stabilize performance.

Moving forward, we will optimize connection pooling, improve query execution, and enhance monitoring to detect early signs of overload. The platform is now stable, and we will continue monitoring to prevent similar incidents.