PostgreSQL Database Engineering

About

Master complex PostgreSQL environments with a comprehensive suite of engineering practices covering everything from schema design and query optimization to production-scale management. This skill provides deep technical guidance on core concepts like MVCC, transaction isolation, and vacuum operations, while offering practical strategies for partitioning large datasets and implementing robust replication. It is particularly valuable for developers and DBAs needing to scale databases horizontally or vertically, tune performance bottlenecks using EXPLAIN ANALYZE, and ensure high availability through sophisticated connection pooling and recovery procedures.

Key Features

• High availability configuration including streaming replication and connection pooling with pgBouncer
• Production management covering MVCC, VACUUM operations, and autovacuum tuning
• Scalability implementation through range, list, and hash partitioning strategies
• 17 GitHub stars
• Advanced indexing strategies including B-Tree, GIN, GiST, and BRIN for diverse data types
• Comprehensive performance tuning and query optimization using EXPLAIN ANALYZE and cost models

Use Cases

• Setting up robust replication and high-availability architectures for critical systems
• Optimizing slow queries and improving performance in high-load production databases
• Designing partitioned schemas for managing datasets with over 100 million rows