---
title: "How we scaled Reads On the Twitter Users Database"
url: https://daily.dev/posts/how-we-scaled-reads-on-the-twitter-users-database-o3dqli6dy
source_url: https://blog.x.com/engineering/en_us/topics/infrastructure/2023/how-we-scaled-reads-on-the-twitter-users-database
type: article
source: "Twitter Engineering"
published: 2024-02-14T00:11:09.083Z
updated: 2024-05-09T08:29:02.242Z
tags: ["twitter", "mysql"]
reading_time: 2
upvotes: 1
comments: 0
language: en
---

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# How we scaled Reads On the Twitter Users Database

**[Twitter Engineering](https://daily.dev/sources/twitter)** · 2 min read · 1 upvotes · 0 comments

## Summary

Twitter scaled the reads on their Users Database by using Vitess, an open source database solution for scaling MySQL. They moved the Vtgate component out of the MySQL servers to achieve high read scalability and used Apache Mesos for running containerized applications.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://blog.x.com/engineering/en_us/topics/infrastructure/2023/how-we-scaled-reads-on-the-twitter-users-database>

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---

Tags: [#twitter](https://daily.dev/tags/twitter), [#mysql](https://daily.dev/tags/mysql)

[View this post on daily.dev](https://daily.dev/posts/how-we-scaled-reads-on-the-twitter-users-database-o3dqli6dy)