Fanout at Scale: Push vs. Pull Strategies in Distributed Systems
Modern systems don’t fail because they can’t store data — they fail because they can’t deliver the right data to the right consumers at the right time. The fano...
Modern systems don’t fail because they can’t store data — they fail because they can’t deliver the right data to the right consumers at the right time. The fano...
System Design Interview: Autocomplete / Type‑ahead System Part 2 In Part 1 we covered the problem statement, requirements, and capacity estimation. In this par...
How to Design a Rate Limiter in a System Design Interview? !How to Design a Rate Limiter in a System Design Interview?https://media2.dev.to/dynamic/image/width...
Differences of Database Sharding and Partition What is Database Sharding - Horizontal Data Distribution – Data is split into shards, each stored on a separate...
Building Crash‑Tolerant Node.js Apps with Clusters !Cover image for Building Crash‑Tolerant Node.js Apps with Clusters.https://media2.dev.to/dynamic/image/widt...
My Journey with DoorDash System Design Interview Courses When I first tackled system design interviewshttps://www.educative.io/courses/grokking-the-system-desi...
The Problem With “Just Start With Microservices” - Microservices solve organizational scale, not early‑stage product chaos. - Early startups usually have: Limi...
Benchmarking JSON libraries for large payloads !Illustration by VectorElements on Unsplashhttps://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-do...
Problem Statement Modern system architectures often prioritize scale and flexibility at the cost of simplicity and consistency. In the rush to adopt microservi...
The API-First Approach API-First architecture prioritizes building APIs as the primary interface for automation, enabling seamless integration, scalability, an...
Introduction Over the last decade, when working on databases with UUID Version 4^1 as the primary key data type, these databases have usually had bad performan...
Introduction Is distributed technology the panacea for big‑data processing? Using a distributed cluster to process big data is mainstream today. Splitting a la...