PostgreSQL Metrics

Covers unique PostgreSQL-specific metrics like table bloat analysis and WAL file monitoring, providing deep insights into database health and performance, as detailed in the metrics explanation section.

Allows users to add custom metrics by modifying Python modules, as explained in the 'How to Add More Metrics' section, making it adaptable to specific monitoring needs.

Outputs metrics in Metrics 2.0 compatible JSON, facilitating easy integration with existing monitoring stacks, mentioned in the default metrics format description.

Provides both per-database and global metrics, such as replication delays and lock statistics, aiding in proactive maintenance and tuning, aligned with the project's philosophy.