Category

Database Engineering

SQL, NoSQL, query optimization and data modeling

99 posts

Soft Deletes at Scale: Stopping Index Bloat

Implementing soft deletes is a standard practice in modern application development, allowing for data recovery and audit trails. However, in high-throughput PostgreSQL systems, this approach introduces a significant performance tax. As deleted records accumulate, they consume disk space, inflate ...

Surviving the Traffic Spike: A Technical Guide to Preventing Redis Cache Stampedes

In the world of high-availability system design, the "Cache Stampede" (also known as the "Thundering Herd") is one of the most insidious performance killers. It occurs when a high-traffic cache key expires simultaneously, causing thousands of concurrent requests to bypass the cache and hit the ba...

Mastering Time Series Database Patterns for Modern Engineering

Time Series Databases (TSDBs) have become a cornerstone of modern infrastructure monitoring, IoT telemetry, and financial analytics. Unlike relational databases optimized for complex joins and transactional consistency, TSDBs are engineered for high-throughput ingestion and time-windowed aggregat...

Cache-Aside vs. Write-Through: Mastering Inventory Caching Strategies for Scale

In the realm of high-concurrency e-commerce and inventory management systems, data consistency and latency are often at odds. A single stock update can ripple through thousands of database transactions per second. To mitigate the bottleneck of direct database reads and writes, developers increasi...