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How to Use PostgreSQL Log Files for Troubleshooting Performance.pdf
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2025-04-26
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How to Use PostgreSQL Log Files for
Troubleshooting Performance
Welcome to this comprehensive guide on leveraging PostgreSQL log files to diagnose and resolve performance issues.
Throughout this presentation, we'll explore how proper log configuration and analysis can transform your troubleshooting
process from guesswork to precision.
Introduction
My name is Shiv Iyer, Founder and CEO of MinervaDB. We
specialize in PostgreSQL optimization and performance
tuning for organizations of all sizes. With years of experience
diagnosing complex database issues, we've developed
systematic approaches to extract actionable insights from
PostgreSQL logs.
Presentation Topics
Understanding the Importance of PostgreSQL Logging1.
Types of PostgreSQL Log Files and Their Uses2.
Configuring PostgreSQL Logging Parameters for Optimal
Performance Analysis
3.
Analyzing Query Performance from Logs4.
Detecting Deadlocks and Lock Waits5.
Utilizing External Log Analysis Tools6.
Best Practices for Managing Log File Size and Retention7.
Troubleshooting with Logs: Real-World Examples8.
Contact Information
Contact: contact@minervadb.com | shiv@minervadb.com
Why PostgreSQL Logging Matters
Critical for Diagnosis
Log files provide the forensic evidence needed to diagnose
performance bottlenecks. They can help pinpoint unexpected
errors and lock contention issues that may not be apparent
through other monitoring tools. Detailed logs offer insights
into the sequence of events leading to an issue, which is
invaluable for root cause analysis.
Data-Driven Optimization
Rather than relying on intuition, logs enable precise,
evidence-based performance tuning. By revealing exactly
which queries, transactions, or connections are causing
problems, logs allow database administrators to make
informed decisions. This data-driven approach ensures that
optimization efforts are targeted and effective.
Compliance and Auditing
Well-configured logs create an audit trail of database activity essential for security compliance, governance requirements, and
post-incident investigations. These logs provide a record of who accessed what data and when, facilitating compliance with
regulations. This is essential for maintaining data integrity and accountability.
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