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8 pages in this section.
The mental model behind PostgreSQL monitoring: which signals map to which user-facing symptoms, and why metrics exist to answer "is anyone waiting" first.
Learn to monitor PostgreSQL performance by tracking connections, locks, replication lag, bloat, and disk usage with pg_stat views.
Track and analyze SQL query performance with pg_stat_statements. Identify top queries by total execution time, calls, and I/O to optimize PostgreSQL.
Visualize PostgreSQL metrics in Grafana using postgres_exporter. Learn to deploy, configure custom queries, and set up alerts for connections and replication.
Learn PostgreSQL monitoring best practices to reduce pager fatigue and quickly diagnose user-facing issues across self-hosted and managed deployments.
A single-page roundup of every highlight bullet from the 7 pages in the Monitoring section, grouped by source page so you can scan all 39 takeaways without opening each article individually.