Database Partitioning: Types, Strategies, and When to Use Each
How database partitioning works in PostgreSQL and MySQL. Range, list, and hash partitioning with SQL examples and guidance on when to partition vs shard.
Nishant Modak
Database Sharding: How It Works and When You Actually Need It
How database sharding works, common strategies (hash, range, directory), shard key selection, and the operational cost of running a sharded database in production.
Nishant Modak
Database Performance Tuning: A Practical Guide for Production Systems
Tune PostgreSQL and MySQL for production with connection pooling, memory configuration, write path optimization, vacuum management, and lock contention fixes.
Preeti Dewani
SQL Query Optimization: Techniques That Actually Improve Performance
Find and fix slow SQL queries using execution plans, missing index detection, N+1 pattern fixes, and pagination strategies for PostgreSQL and MySQL.
Sahil Khan
Database Indexing: How It Works, Types, and When to Use It
How database indexes work, when to use B-tree vs hash indexes, clustered vs non-clustered indexes, and how to tell if your indexes are actually helping.
Faiz Shaikh