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Collecting metrics with PostgreSQL monitoring tools

Blog post from Datadog

Post Details
Company
Date Published
Author
Emily Chang
Word Count
3,753
Language
English
Hacker News Points
-
Summary

PostgreSQL offers a built-in statistics collector to help users monitor database health and performance by querying predefined statistics views such as pg_stat_database, pg_stat_user_tables, and pg_stat_user_indexes, which aggregate data on database activity, table usage, and index operations. Users can configure the collector in the postgresql.conf file to track additional metrics like disk I/O latency and user-defined functions, although some metrics require querying system administration functions or other native sources. The statistics collector provides snapshots of database activity, but for real-time insights and historical analysis, dedicated monitoring tools like PgHero offer a more user-friendly interface. PgHero, an open-source tool, aggregates key database metrics into a visual dashboard, highlighting long-running queries, unused indexes, and disk usage. For a more comprehensive monitoring solution, users can integrate PostgreSQL metrics with platforms like Datadog to visualize and alert on potential issues in real-time, offering a holistic view of database performance in the context of the entire system infrastructure.