Performance Metrics: Database Logs Monitoring

PostgreSQL Log Analysis Overview

• What it measures: Tracks and analyzes all PostgreSQL database log events including errors, warnings, connections, queries, and system events.
• Why it matters: Monitoring PostgreSQL logs regularly is crucial for maintaining the health and performance of the database. Logs provide essential insights into potential issues, system errors, and anomalies, serving as key indicators during troubleshooting and incident resolution. They offer invaluable information about query performance, authentication issues, replication status, and system resource constraints.
• Ideal value & Best Practice:
  • Implement centralized log collection and analysis
  • Set up real-time log monitoring and alerting
  • Regularly review logs for patterns and anomalies
  • Configure appropriate log verbosity (log_min_duration_statement, log_statement)
  • Use log rotation policies to manage log file sizes
  • Implement log retention policies for compliance and auditing

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