Building a Redis Clone from Scratch – Part 1: In-Memory KV Store with TCP
I hope you all are doing well. Today I'm starting a new project series on this newsletter. We will build a distributed key-value store, like Redis, from scratch using Java.
Obviously it won't be fully featured like Redis, but it will have all the core concepts such as distributed systems, networking, storage engines, consistency models, and consensus algorithms.
One thing to note is that I'm not an expert in distributed systems; I'm just a curious person who is starting to learn distributed systems. That's why I've decided to build this in public to get everyone's reviews.
We will start with a basic hashmap and then try to convert it into a distributed key-value store. Below are the things we are going to cover.
A key-value store is one of the simplest forms of databases. Think of it like a dictionary or a hashmap—where you store data as a pair of key and value.
So when you ask the store for a value using a key, it gives it to you instantly. There’s no fancy querying or relations like in SQL—just raw speed and simplicity.
