Database Insights

A production guide to zero-downtime database migrations — why ALTER TABLE causes downtime, the Expand-Contract pattern, safe migration patterns for PostgreSQL and MySQL, and tooling with Flyway, Liquibase, pt-osc, and gh-ost.

Master MongoDB aggregation pipeline stages — $lookup, $group, $facet, explain plans, and index optimization

Decode PostgreSQL wait events to diagnose lock contention, I/O bottlenecks, and CPU pressure in production

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.

Add data quality checks to your pipeline — row count validation, schema drift detection, and anomaly alerting with Great Expectations

Detect query plan regressions in PostgreSQL using auto_explain, pg_hint_plan, and plan baseline management

AWS RDS, Aurora, and Aurora Serverless v2 all run MySQL and PostgreSQL — but their pricing models differ dramatically. Learn when to use each and how to avoid expensive I/O surprises.

Deploy Vitess for horizontal MySQL sharding — VSchema design, vtgate routing, and migration from single-instance MySQL

Compare streaming and batch data processing — latency, throughput, tooling, and when each approach makes sense

Use pg_upgrade to migrate between PostgreSQL major versions — upgrade strategies, pre-checks, and rollback plans

ProxySQL pools thousands of application connections into a small backend pool, splits reads to replicas automatically, and lets you change routing without touching application code or restarting MySQL.

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.