PostgreSQL Performance Tuning and Optimization

This course focuses on essential techniques for optimizing PostgreSQL database performance. You'll explore PostgreSQL's internal architecture and learn systematic approaches to identify performance bottlenecks. The course covers query processing mechanics, teaches you how to interpret EXPLAIN and ANALYZE output for query plans, and demonstrates effective query optimization strategies. You'll discover practical methods for query tuning, learn indexing best practices, and understand how to implement connection pooling efficiently. Whether you're handling complex queries or managing high-traffic databases, this course provides the tools and knowledge to enhance your PostgreSQL database performance.

• Analyzing query execution plans with EXPLAIN and EXPLAIN ANALYZE to identify inefficiencies like sequential scans, poor join orders, or missing indexes.
• Tuning PostgreSQL configuration parameters (e.g., work_mem, shared_buffers, effective_cache_size, max_parallel_workers) and understanding their impact on different workload types (OLTP vs. OLAP).
• Implementing effective indexing strategies (B-tree, GIN, BRIN, partial indexes) and maintaining them through proper vacuuming, analyze commands, and autovacuum tuning.
• Monitoring and optimizing PostgreSQL performance metrics using built-in views (pg_stat_activity, pg_stat_statements), logs, and extensions to detect anomalies, set up alerts, and apply ongoing improvements.

• Develop the ability to systematically troubleshoot slow queries and degraded performance in PostgreSQL using tools like EXPLAIN, pg_stat_statements, and logs, leading to faster root cause identification.
• Gain confidence in applying tuning best practices to real-world PostgreSQL deployments (on-premises, RDS, or Aurora), resulting in improved application performance, reduced latency, and better resource utilization.
• Be equipped to maintain high-performing PostgreSQL databases over time, incorporating proactive monitoring, regular maintenance, and workload-aware optimizations to support growing demands.

• 1 hour 30 minute digital course content with detailed explanations, architecture diagrams, practical examples, and tuning demonstrations (conceptual focus with code/query walkthroughs; may include references to AWS-managed PostgreSQL services).
• Advanced-level training in the Database domain, suitable for database administrators, developers, and architects with prior PostgreSQL experience (builds on foundational PostgreSQL knowledge).
• Alignment with PostgreSQL best practices and AWS guidance for performance in RDS/Aurora environments (e.g., query optimization patterns, configuration recommendations).
• Certificate of completion issued.