This comprehensive guide from MinervaDB, authored by PostgreSQL expert Shiv Iyer, provides PostgreSQL Database Architects, Database Administrators and Database Engineers with actionable strategies to harness PostgreSQL logs for performance tuning. Learn to configure logging parameters, interpret error patterns, and diagnose bottlenecks like slow queries, deadlocks, and lock contention. The guide covers:
- Log Types & Configuration: Tailor error, connection, and query logs for precise diagnostics.
- Performance Optimization: Identify slow queries using log_min_duration_statement and leverage execution plans for tuning.
- Advanced Tools: Integrate pgBadger, ELK Stack, and Grafana for automated log analysis.
- Best Practices: Manage log retention, security, and storage to balance troubleshooting needs with system overhead.
Packed with real-world examples and configuration snippets, this resource equips teams to transform raw log data into performance insights. Ideal for organizations aiming to reduce downtime, improve query efficiency, and implement proactive monitoring. You can download PDF of this post here
Configuring PostgreSQL Logs for Query Performance Troubleshooting
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