The RUM Conjecture: Understanding the Fundamental Trade-offs in Distributed Data Systems

Introduction In distributed systems, particularly in database design and data storage systems, engineers often face challenging trade-offs. The RUM Conjecture, introduced by Athanassoulis et al. in 2016, provides a framework…

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Understanding Monotonic Reads in Distributed Systems: A Deep Dive for Interview Preparation

Introduction Monotonic reads is a crucial consistency model in distributed systems that every senior engineer should thoroughly understand, especially when preparing for technical interviews at leading tech companies. This concept…

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Sloppy vs Strict Quorums in Distributed Systems: A Complete Guide for System Design Interviews

Introduction If you're preparing for system design interviews at top tech companies, understanding distributed systems concepts is crucial. One fundamental concept that often comes up is quorum-based systems. In this…

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System Design Interview Series #1: Building a Social media Feed | Senior Software Engineer Prep Guide

Problem Statement Design a news feed system similar to Facebook's News Feed, where users can: See posts from their friends and followed pages Create new posts (text, images, videos) Like…

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Understanding the CAP Theorem: The Fundamental Trade-offs in Distributed Systems

When designing distributed systems, engineers face crucial decisions about data consistency, system availability, and handling network failures. The CAP theorem, introduced by Eric Brewer in 2000, helps us understand these…

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