A deep-dive into production-grade rate limiting: algorithms, distributed coordination, Redis atomicity, race conditions, multi-region tradeoffs, and everything a senior engineer thinks about that beginners miss.
How I designed a high-concurrency booking backend handling segment-based seat allocation, distributed locking with Redis Lua scripts, event-driven workflows with Kafka, and CQRS with Elasticsearch all within a modular monolith.
Most candidates treat this as a coding problem.Strong candidates treat it as a structured design conversation.This is not just about what you build, but how you...
Parking Lot Design LLD Interview question — 1The Parking Lot problem shows up in almost every Low-Level Design interview.This post is how I personally approach...
In this post, we’ll walk through how to design a Key-Value (KV) data store backed by SQL. It will not only support fundamental operations but also provide infin...
In this blog, we’ll explore caching from first principles to practical implementation, with real-world examples, caching strategies, and visual explanations tha...
If you’ve ever used an app that felt very fast, chances are it wasn’t brute-forcing performance; it was caching intelligently. Caching isn’t just a backend tric...
Ever wondered how Instagram stores your photos? Or how Netflix manages its massive content catalog across the globe? The answer lies in the type of database the...