Learn how to handle billions of tweets, followers, and massive data, and get ready to impress interviewers with your knowledge of designing social media platforms like Twitter.

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This post discusses the design of a Twitter-like app, covering functional and non-functional requirements, API endpoints for key features like tweeting and user interactions, and strategies for scalable, read-heavy systems. Key components include client apps, load balancers, API servers, relational databases, caching solutions, object storage, and CDNs. The post also explores techniques for database scaling through read replicas and sharding, and the use of message queues for handling peak loads.

System Design Interview: Design Twitter (X)

Handling Peak Load: Message Queues and Fan-Out

What an awesome read, I take my time to read and understand it and I’m glad I did that. Thanks

The Book “Designing data intensive applications” describes why relational database approach is a mess in that scenario. Back 2012 twitter had 26 billions reads per day, it is hard to imagine how big this numbers nowadays.
It also describes how this problem was solved - there was caching but also feed created not on request but on new feed push.
I would say it more event driven in real world, rather than reactive in current design.
Still was interesting read.

on which software we can make this diagrams?