Monitoring the right metrics is the key to maintaining a high-performing and stable PostgreSQL database. This guide serves as your central hub for understanding the essential performance metrics provided by PostgreSQL and enhanced by pghealth's custom monitoring capabilities.
What makes pghealth different? We go beyond standard PostgreSQL metrics to provide custom, actionable insights specifically designed to help you maintain peak database performance. Instead of just showing you numbers, we explain what each metric truly means, what its ideal value is, and how to act upon it to diagnose bottlenecks and optimize your database's health.
PostgreSQL provides extensive built-in metrics, but pghealth's custom metrics deliver deeper insights that are crucial for:
Our custom metrics are specifically designed to bridge the gap between raw PostgreSQL statistics and actionable operational intelligence.
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Master PostgreSQL checkpointer and buffer management metrics. Monitor checkpoint efficiency, buffer allocation, and I/O performance for optimal database health and performance tuning.
Comprehensive guide to PostgreSQL system health metrics. Monitor CPU, memory, disk usage, load average, transaction wraparound, and server uptime for optimal database performance and stability.
Master PostgreSQL shared buffer metrics to optimize memory usage. Monitor buffered_size, buffer_blocks, usage_percent, and avg_usagecount to reduce disk I/O and accelerate query performance.
Comprehensive guide to PostgreSQL session metrics. Monitor connection usage, session distribution, active/idle connections, and user application patterns for optimal database performance and security.
Comprehensive guide to PostgreSQL query performance metrics. Monitor slow queries, time-consuming operations, frequent queries, and IO-intensive queries for optimal database performance and tuning.
Comprehensive guide to PostgreSQL index metrics. Monitor index efficiency, unused indexes, duplicate indexes, invalid indexes, and fragmentation for optimal database performance and storage management.
Comprehensive guide to PostgreSQL database metrics. Monitor rollback rates, deadlocks, cache efficiency, tuple statistics, and temp file usage for optimal database health and performance.
Comprehensive guide to PostgreSQL extensions management.
Comprehensive guide to PostgreSQL deadlock monitoring. Learn how to detect, analyze, and resolve deadlocks to prevent database blocking and ensure smooth transaction processing.
Comprehensive guide to PostgreSQL log monitoring. Learn how to analyze database logs, identify errors, detect performance issues, and troubleshoot problems for optimal database health and stability.
Comprehensive guide to PostgreSQL replication metrics. Monitor replication slots, lag times, and streaming status to ensure high availability and data consistency across your database clusters.
Comprehensive guide to PostgreSQL table metrics. Monitor table size, bloat, cache efficiency, vacuum/analyze operations, and query performance for optimal database health and tuning.
