Database Engineering Mastery
Storage engines, sharding, indexing, and data-system trade-offs.
An advanced database track for engineers who want to reason about storage internals, scaling, modeling, and data-access performance deeply.
Designed for
Engineers designing or operating data-heavy backend systems.
You leave with
- Sharper intuition around indexing, storage engines, and consistency trade-offs
- A stronger toolkit for sharding, schema evolution, and database scalability
- A deeper understanding of how databases behave under real production load
Curriculum Map
A structured path that feels worth paying for
Every module is ordered to build confidence, not just collect content. Start with the right fundamentals, deepen into the mechanics, then pressure-test your thinking with realistic engineering trade-offs.
Module 1
0. Roadmap
Module 2
Data Storage & Scaling
Bloom Filters: The Speed Secret of Modern NoSQL Databases
Beginner • 8 min read
Cassandra Gotchas: Dealing with Tombstones and Wide Partitions
Advanced • 9 min read
Cassandra Internals: LSM-Trees, Gossip, and Eventual Consistency
Advanced • 8 min read
Cassandra Multi-Region Architecture: Designing for Global Scale
Advanced • 8 min read
DynamoDB Pitfalls: Throttling, Hot Partitions, and the 400KB Limit
Advanced • 8 min read
DynamoDB Single Table Design: Advanced Modeling Patterns
Advanced • 8 min read
MongoDB Aggregation Pipeline: Optimization and Performance
Advanced • 8 min read
MongoDB Anti-Patterns: From Unbounded Arrays to Shard Imbalance
Intermediate • 9 min read
Negative Result Caching: Protecting Databases
Advanced • 7 min read
NoSQL Schema Evolution: Strategies for Zero-Downtime Data Growth
Advanced • 8 min read
PostgreSQL JIT Tuning: Understanding the Cost
Advanced • 7 min read
Redis in Production: 5 Common Pitfalls and How to Avoid Them
Advanced • 8 min read
Redis Internals: Event Loop, Data Structures, and Persistence
Advanced • 8 min read
Redis Lua Scripting: Ensuring Atomicity in Complex Workflows
Advanced • 8 min read
B-Trees vs. LSM-Trees: The Battle of Storage Engine Internals
Advanced • 8 min read
Vector Search in NoSQL: Redis and MongoDB as Vector Databases
Advanced • 8 min read
Zero-Downtime Migration: Moving from SQL to NoSQL
Advanced • 8 min read
PostgreSQL Locking Playbook: Deadlocks, Blocking Queries, and Timeouts
Advanced • 12 min read
DynamoDB Advanced Patterns: Single-Table Design and Beyond
Advanced • 11 min read
Zero-Downtime Database Migrations: Patterns for Production
Advanced • 10 min read
PostgreSQL Performance Tuning: From Slow Queries to Sub-Millisecond Reads
Advanced • 11 min read
Elasticsearch Query Optimization: From Slow to Sub-100ms
Advanced • 10 min read
Redis Caching Strategy at Scale: Beyond Simple Key-Value
Advanced • 14 min read
Time-Series Databases: InfluxDB vs TimescaleDB vs Prometheus
Intermediate • 13 min read
Elasticsearch Deep Dive: Inverted Index, Mappings, and Query DSL
Advanced • 13 min read
Redis Beyond Cache: Sorted Sets, Streams, and Pub/Sub Patterns
Advanced • 15 min read
PostgreSQL vs MongoDB vs DynamoDB: When to Use Which Database
Advanced • 13 min read
Module 3
Database Engineering Mastery
SQL vs NoSQL: Which One for Your Next Production MVP?
Advanced • 9 min read
The Write-Ahead Log (WAL): The Universal Engine of Data Durability
Advanced • 8 min read
PostgreSQL MVCC: How Transactions Work Without Locking
Advanced • 8 min read
MongoDB Internals: Deep Dive into WiredTiger and Replication
Advanced • 8 min read
Database Sharding Part 1: The Vertical Ceiling
Intermediate • 7 min read
Cassandra Data Modeling: Design for Queries, Not Entities
Advanced • 12 min read
Distributed Caching at Scale: Mitigating the Thundering Herd
Advanced • 8 min read
The Expand-Contract Pattern: Zero-Downtime Database Schema Changes
Advanced • 7 min read
Module 4
Database Sharding Mastery
Database Sharding Part 4: Consistent Hashing Internals
Advanced • 7 min read
Database Sharding Part 5: The Scatter-Gather Problem
Advanced • 6 min read
Database Sharding Part 6: Zero-Downtime Re-sharding
Advanced • 7 min read
Database Sharding Part 7: Case Study - Scaling Discord to Billions
Advanced • 16 min read
Query Optimization: The Hidden Cost of Cross-Shard Joins
Advanced • 7 min read