Scale your PostgreSQL database effectively. This guide covers range, list, and hash partitioning with practical code examples and automation strategies for billion-row tables.
Don't add another database to your stack. Learn how to use the pgvector extension to turn PostgreSQL into a powerful vector store for AI embeddings and similarity search.
A practical, no-nonsense guide to connecting Python, Node.js, and PHP to MySQL and PostgreSQL. Learn about drivers, secure environment variables, and how to stop SQL injection.
Database transactions are the mechanism that keeps your data consistent when multiple SQL statements need to succeed or fail together. This guide covers ACID properties, COMMIT/ROLLBACK, SAVEPOINTs, isolation levels, and practical patterns to avoid data corruption in production.
Is a single query crashing your app? Learn the difference between OLTP and OLAP, why row storage fails at scale, and how to build a stable data architecture.
Stop guessing your database capacity. Learn how to use sysbench to run professional stress tests on MySQL and PostgreSQL, and how to interpret TPS and 95th percentile latency.
Is your SQL crawling? Stop guessing and start reading Execution Plans. This guide shows you how to use EXPLAIN in PostgreSQL and MySQL to pinpoint bottlenecks like sequential scans and manual file sorts.
Tired of 2 AM outages? Learn to build a professional database monitoring stack using Prometheus and Grafana. This guide covers exporter setup, critical metrics, and production-ready alerting.
Transform messy 'God Tables' into efficient database schemas. Learn the practical steps to reach 1NF, 2NF, and 3NF with SQL examples and real-world trade-offs.