postgresql-troubleshooting-sql

PostgreSQL health checks are executed by running a curated suite of diagnostic SQL scripts against your target cluster to identify and quantify issues like replication lag, storage usage, and query performance. You can apply these scripts to both standalone and Kubernetes-hosted deployments.

To troubleshoot slow queries and locking issues in PostgreSQL, you can use curated diagnostic SQL scripts that analyze query performance, cache hits, table I/O, index usage, and locking scenarios. These scripts provide immediate diagnostic results when executed via psql.

Yes, this SQL suite works with Kubernetes-hosted PostgreSQL deployments. It provides comprehensive coverage of replication, storage, and locking scenarios specifically for Kubernetes environments, alongside compatibility with standalone on-premises clusters.

Yes, pg_stat_statements is utilized by these PostgreSQL performance monitoring SQL scripts to ensure robust query performance tracking. The diagnostic suite includes queries compatible with PostgreSQL versions 14 through 17.

You can check for dead tuples and vacuum health in PostgreSQL by executing the included health check SQL scripts. These queries surface insights into dead tuples, vacuum health, WAL status, and bloat analysis when run against your database instance.

The best way to analyze table bloat and index usage in PostgreSQL is running dedicated diagnostic SQL scripts. This approach quantifies health and performance issues by directly querying storage usage, bloat analysis, and index usage metrics across your target cluster.