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PostgreSQL

Whether you’re a seasoned developer or just beginning your journey into database systems, this hub is your guide to understanding the inner workings of PostgreSQL. Dive deep into the architecture, memory management, background workers, planner, executor, WAL and more – and learn how to navigate the PostgreSQL codebase, write extensions and even contribute a new feature to core PostgreSQL.

This is more than just theory – It is about building the skills and insights needed to shape the future of one of the world’s most powerful open-source databases.

Designing a Vectorized Query Execution Engine: Modern Tradeoffs and Patterns

Introduction: Why Vectorized Query Execution Engines Are Dominating Modern Databases When I started…

How to Design a Vectorized Query Execution Engine Step by Step

Introduction: Why Vectorized Query Execution Engines Matter Now In modern analytics systems, the…

Top 5 Vectorized Query Execution Mistakes Engine Designers Still Make

Introduction: Why Vectorized Query Execution Still Goes Wrong Vectorized query execution looks…

Six Data Shifts That Will Decide Whether Your Enterprise AI Survives 2026

For years, enterprise data architecture changed slowly. Relational databases defined the rules…

Top 7 Indexing Strategies for Database Performance in 2025

Introduction: Why Indexing Strategies Still Make or Break Database Performance In 2025, I still see…

Top 7 AI-Driven Database Performance Tuning Techniques DBAs Need Now

Introduction: Why AI-Driven Database Performance Tuning Is Exploding In the last couple of years…

This section dives into practical PostgreSQL techniques drawn from real production experience. It covers performance tuning, query optimization, replication, extensions, and day-to-day operational patterns that matter when PostgreSQL is running under real load. The focus is on understanding how PostgreSQL behaves internally and applying that knowledge to build systems that are reliable, scalable, and easier to operate in production environments.

How to Build PostgreSQL Time-Series Partitioning with Automatic Retention

Introduction: Why PostgreSQL Time-Series Partitioning Matters In every PostgreSQL system I’ve managed, time-series data has been the first thing to…

Top 5 Best PostgreSQL Background Worker Patterns for Safe Shared Memory Use

Introduction: Why PostgreSQL Background Workers Deserve a Playbook Once I started pushing PostgreSQL background workers beyond simple demos, I…

Top 7 Ways PostgreSQL Statistics Go Bad and Make Queries Slow

Introduction: When PostgreSQL Statistics Quietly Break Your Performance Some of the slowest PostgreSQL databases I’ve tuned didn’t suffer from bad…

Top 7 Strategies for PostgreSQL Auditing with Logical Decoding and Event Triggers

Introduction: Why PostgreSQL Auditing Needs More Than Simple Triggers When I first started adding audit trails to PostgreSQL, I did what most people…

PostgreSQL Deadlock Debugging: A Practical Guide with pg_locks

Introduction: Why PostgreSQL Deadlock Debugging Matters When a production PostgreSQL database freezes under load, the root cause is often hidden…

Top 5 PostgreSQL Autovacuum Monitoring Tools to Beat Bloat and Wraparound

Introduction: Why PostgreSQL Autovacuum Monitoring Tools Matter PostgreSQL’s autovacuum is one of those features that quietly keeps a database alive…