Database Insights

Apply GitOps principles to database changes — PR-based schema reviews, automated migrations, and rollback strategies

UUIDs as primary keys can destroy database performance. Learn why 50M rows went from 0.5ms to 2.3ms inserts, and how to fix it with hybrid approaches.

A production guide to PostgreSQL Row Level Security — policy creation, USING vs WITH CHECK clauses, performance implications with indexes, and multi-tenant SaaS patterns with real schema examples.

Implement schema change management with versioning, peer review, and automated validation for safe deployments

Analyze real-world database schema designs from companies like Netflix, Uber, and Airbnb. Learn practical patterns for e-commerce, social media, and IoT applications.

A practical guide to database sharding strategies — hash sharding, range sharding, directory-based sharding — with trade-offs, resharding complexity, and decision criteria for MySQL and PostgreSQL.

A production guide to online MySQL schema changes — when to use pt-online-schema-change vs gh-ost vs MySQL 8.0 INSTANT DDL, configuration parameters, the cutover mechanism, and a step-by-step safety playbook.

Manage SQL schema migrations with Flyway — versioned and repeatable scripts, CI/CD integration, and team workflows

Optimize database performance by choosing the right data types and constraints. Learn about VARCHAR vs TEXT, INT sizes, ENUM optimization, and constraint best practices.

Implement zero-downtime database migrations with versioning strategies. Learn about Flyway, Liquibase, schema evolution patterns, and rollback strategies.

Evaluate PlanetScale for MySQL workloads — Vitess-based branching, non-blocking schema changes, and pricing

Learn the fundamental principles of database schema design for building scalable applications. This guide covers entity relationships, primary keys, foreign keys, and normalization concepts essential for high-performance databases.