Query Tuning in Azure Database for PostgreSQL

Relational databases handle diverse workloads, but inefficient queries can quickly degrade application performance. Understanding how to analyze and optimize these queries within Azure Database for PostgreSQL is essential for maintaining a fast, responsive application. This text-based course guides you from database performance basics to advanced query tuning techniques, enabling you to confidently diagnose bottlenecks and implement effective indexing strategies. What you'll learn: - Understand foundational database metrics and how the PostgreSQL query planner operates. - Analyze query execution plans using EXPLAIN and EXPLAIN ANALYZE to pinpoint performance bottlenecks. - Implement advanced indexing strategies, including B-Tree, GIN, and expression indexes, to speed up data retrieval. - Configure Azure-specific performance tools like Query Store to track and analyze query behavior over time. - Optimize autovacuum settings and manage table bloat to maintain consistent database health. - Apply query rewriting techniques and join optimizations to streamline resource usage. You will start with core database concepts and query planning theory before moving on to practical execution plan analysis, indexing strategies, and cloud-specific performance monitoring. This course is designed for backend developers, database administrators, and system architects who are new to query tuning and want to optimize their PostgreSQL databases hosted on Azure, with no prior performance-tuning experience required. Start reading today to unlock the full potential of your PostgreSQL database.