Скачать или смотреть 🔥 Implement Consistent Hashing in Go: Build a Fault-Tolerant Cache from Scratch!

Consistent Hashing is the secret sauce behind scalable systems like Redis, Memcached, and Cassandra — and today, you're going to implement it in Golang, step by step.

🔧 In this video, we’ll build a fully working distributed cache that:
✅ Uses a custom consistent hash ring
✅ Handles dynamic node addition and removal
✅ Supports virtual nodes for better distribution
✅ Implements data redundancy across nodes
✅ Can tolerate node failures without breaking your app

This is not just a theory video. We’re building everything from scratch using Go — no third-party libraries, no magic.

⚙️ Here's what we'll cover:
00:00 - Intro: The Problem with Scaling Distributed Systems
00:40 - Consistent Hashing Recap (Why It Solves So Much Pain)
01:40 - 🛠️ Building the Basic Hash Ring
05:16 - ❗ What's Wrong with This Hash Ring?
06:39 - ⚖️ Adding Virtual Nodes to Balance the Load
09:00 - 🧨 Still Not Enough? Let’s Talk Real-World Failures
10:45 - 💾 The Data Loss Problem and How to Solve It
12:00 - 🔁 Data Redundancy in the Hash Ring (Let’s Code!)
15:09 - 🚀 Plug It Into a Caching Server
16:53 - 🔍 Recap: What We Just Built
17:25 - 🧠 What’s Next: Gossip Protocol, Atomicity, and Beyond
19:15 - 🧪 Your Turn: Build, Extend, and Share with Me!

📚 Want to understand the concepts before diving into code? Watch this first:
👉 [The Theory of Consistent Hashing](   • How I Broke My Cache and Fixed It Like a P...  )

💻 Access the full code on GitHub:
👉 https://github.com/architagr/The-Week...

🎯 Don't forget to:
✅ Like this video if it helped
✅ Subscribe for more backend deep dives
✅ Comment if you want a full series on distributed systems in Go

#Golang #ConsistentHashing #DistributedSystems #BackendEngineering #SystemDesign