db-performance-watchlist

Detect slow PostgreSQL queries by running scheduled SQL queries against pg_stat_statements to identify database queries exceeding predefined execution time thresholds. This proactive monitoring alerts you to performance issues before they impact application users.

Track PostgreSQL connection pool usage automatically by querying pg_stat_activity on a schedule using node-cron. This monitors active database connections and resource consumption, triggering automated alerts when critical performance thresholds are breached.

Detect unused indexes and high sequential scans in a PostgreSQL database by performing index efficiency analysis. This monitoring strategy highlights inefficient database queries and unused indexes to help optimize overall PostgreSQL performance.

This database performance monitoring approach requires node-cron for scheduling automated SQL monitoring tasks and Prisma as a database dependency. You need these dependencies to execute scheduled PostgreSQL performance checks and generate automated alerting based on predefined thresholds.

Set up automated alerting for critical database performance deviations in PostgreSQL by configuring predefined thresholds for slow queries and resource utilization. Scheduled node-cron tasks execute SQL queries against pg_stat_statements and trigger notifications when thresholds are exceeded.