This book covers the use of Redis, an in-memory database/data structure server.

open all | close all

8.6 Summary

In this chapter, we’ve built the majority of functionality that makes a site like Twitter
work. Though these structures won’t scale to the extent that Twitter does, the methods
used can be used to build a small social network easily. With a front end for users
to interact with, you can start your own social network with your friends!

If there’s one thing that you should take away from this chapter, it’s that even
immensely popular websites have functionality that can be built with the tools available
inside of Redis.

In the upcoming chapters 9 through 11, we’ll look into methods to help reduce
memory use, methods to help scaling Redis read and write loads, and scripting Redis
to simplify (and sometimes help scale) applications. These things will help to scale
Redis applications, like our social network, beyond expected single-machine limits.
Our first step down this path is chapter 9, where I’ll show you how to reduce Redis’s
memory use.