Member-only story

Single-threaded Redis Speed: How I/O Multiplexing and In-Memory Storage Make Redis a Powerhouse

The Java Trail
9 min readOct 25, 2024

Redis, a high-performance, open-source in-memory database, is widely used for caching, message brokering, and real-time analytics. Despite being single-threaded, Redis achieves incredible speed and efficiency, processing hundreds of thousands of requests per second with low latency. Its architectural choices, including in-memory storage, event-driven design, non-blocking I/O, and atomic command execution, make Redis exceptionally fast. However, as data requirements grow, Redis faces challenges related to memory limits and single-threaded limitations. This article explores the reasons behind Redis’s speed, delves into its potential bottlenecks, and presents solutions like Redis Cluster, multi-layered caching, and Redis on Flash to help you optimize Redis for high-scale applications.

1. I/O Multiplexing: Efficient Management of Concurrent Connections

Redis employs I/O multiplexing, is a technique that allows Redis to handle multiple client connections concurrently using a single thread. Here’s how it works:

The author made this story available to Medium members only.
If you’re new to Medium, create a new account to read this story on us.

Or, continue in mobile web

Already have an account? Sign in

The Java Trail
The Java Trail

Written by The Java Trail

Scalable Distributed System, Backend Performance Optimization, Java Enthusiast. (mazumder.dip.auvi@gmail.com Or, +8801741240520)

No responses yet

What are your thoughts?