Database monitoring is crucial for effective data management and building high-performance applications. The `pg_stat_statements` view provides valuable information on query performance, but its cumulative nature can make it challenging to pinpoint problems. To overcome this limitation, storing the data in a time-series format with hypertables allows for efficient querying of trends and patterns over time. This enables the creation of continuous aggregates and data retention features, providing a complete solution for self-serve query monitoring. By leveraging TimescaleDB's features, such as compression, automated job scheduling, and data management, organizations can establish a robust database monitoring system that supports their needs for scalability and performance.