Synchronized Expiration in Distributed Systems
Deterministic TTL in caching systems create hidden synchronization points that eventually break under scale. This deep dive explains how mature systems design for expiration, not just performance.
Topic
Database
A collection of 26 issues
Redis as Infrastructure: Caching, Coordination, and Scale
Redis is one of the most influential building blocks in modern system architecture. When used intentionally, it simplifies coordination, scaling, and shared state across services. This article explores how Redis works under the hood and how to design systems that take full advantage of it.
Batch Processing in Modern Systems
Batching in distributed systems is like a tax strategy. Every database write, every API call, every network request carries overhead you can't avoid. The only question is how many times you pay it. Process a thousand records individually and you pay a thousand times. Batch them and you pay once.
MongoDB Data Modeling: How to Design Schemas for Real-World Applications
A fast MongoDB system comes from modeling data around how your application reads and writes it. This guide breaks down how to structure documents, when to embed or reference, the patterns used in real production systems, and the indexing strategies that keep performance predictable as data grows.
The Cost of SQL Habits on MongoDB Infrastructure
Clusters get bigger, queries get slower, and everyone blames MongoDB. But the real culprit could be schema design built on relational intuition. Here’s why SQL habits are costly, and how to retrain teams to think natively in documents.