The JusDB Database Engineering Blog
Deep dives on PostgreSQL, MySQL, MongoDB and more — performance tuning, high availability, migrations and production war stories from our DBAs.
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Database Change Management: Schema Versioning and Review Processes
Implement schema change management with versioning, peer review, and automated validation for safe deployments
Real-World Examples of Scalable Database Schemas
Analyze real-world database schema designs from companies like Netflix, Uber, and Airbnb. Learn practical patterns for e-commerce, social media, and IoT applications.
Database Sharding Strategies: Hash, Range, Directory, and When to Use Each
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.
MySQL Online Schema Change: pt-osc and gh-ost in Production
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.
Flyway: Database Migration Versioning Done Right
Manage SQL schema migrations with Flyway — versioned and repeatable scripts, CI/CD integration, and team workflows
Data Types and Constraints Selection for Scalable Database Schemas
Optimize database performance by choosing the right data types and constraints. Learn about VARCHAR vs TEXT, INT sizes, ENUM optimization, and constraint best practices.
Schema Versioning and Migration Strategies for Scalable Databases
Implement zero-downtime database migrations with versioning strategies. Learn about Flyway, Liquibase, schema evolution patterns, and rollback strategies.
PlanetScale: MySQL-Compatible Serverless Database with Schema Branching
Evaluate PlanetScale for MySQL workloads — Vitess-based branching, non-blocking schema changes, and pricing
Database Schema Design Fundamentals for Scalability
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.
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