twitter-scale-mastodon

It's an article about Clojure's influence on Rama, not an introductory tutorial on Rama. But we have plenty of code samples elsewhere: https://github.com/redplanetlabs/rama-demo-gallery https://github.com/redplanetlabs/twitter-scale-mastodon https://blog.redplanetlabs.com/2023/10/11/introducing-ramas-... https://redplanetlabs.com/docs/~/tutorial1.html

Here's an example of the backend code: https://github.com/redplanetlabs/twitter-scale-mastodon/blob... It certainly looks like it does a lot with their DSL, but as a newcomer it's really hard to parse.

Check out twitter-scale-mastodon, which is an implementation of Mastodon's backend from scratch that scales to Twitter scale. It's more than 40% less code than Mastodon's backend and 100x less code than Twitter wrote to build the equivalent. https://github.com/redplanetlabs/twitter-scale-mastodon https://blog.redplanetlabs.com/2023/08/15/how-we-reduced-the...

I get what they're trying to do but I'm not sure this [0] syntax is the answer. [0] https://github.com/redplanetlabs/twitter-scale-mastodon/blob...

Our production-ready, Twitter-scale Mastodon implementation in 100x less code than Twitter wrote to build the equivalent feature-set (just the consumer product) begs to differ that it's "a bunch of buzzwords". https://github.com/redplanetlabs/twitter-scale-mastodon

True, Rama does have a learning curve. It's easier to explain why its indexing capabilities are so powerful, as data structures vs. data models is fairly relatable to most devs. But I actually consider its dataflow API to be the bigger breakthrough. Our Twitter-scale Mastodon implementation and examples in rama-demo-gallery are demonstrations of this. Also, Rama has a first-class Clojure API (I should probably update the website). https://github.com/redplanetlabs/twitter-scale-mastodon https://github.com/redplanetlabs/rama-demo-gallery

We've released many examples. The first is our Twitter-scale Mastodon implementation, which is 100x less code than Twitter wrote to build the equivalent at scale (just the consumer product). It's also more than 40% less code than Mastodon's official implementation (which isn't scalable). https://github.com/redplanetlabs/twitter-scale-mastodon The rama-demo-gallery repo also contains many short, self-contained, thoroughly commented examples of applying Rama towards very different use cases. These include user profile management, time-series analytics, atomic and fault-tolerant bank transfers, and more. https://github.com/redplanetlabs/rama-demo-gallery

As best I can tell the Rama-awesomesauce is down in the backend modules, e.g. https://github.com/redplanetlabs/twitter-scale-mastodon/blob... and the rest of the commentary I'll keep to my damn self

GitHub link: https://github.com/redplanetlabs/twitter-scale-mastodon Their announcement email reads... > We've open-sourced our Twitter-scale Mastodon implementation on our Github. The implementation is 10k lines of code, which is 100x less code than Twitter wrote to build and scale their original consumer product, which was extremely similar. This repository can easily be adapted to make any Twitter-like social network. > The project README includes instructions for running an instance locally on your machine, which is easy to do. To help with understanding the codebase, we've left many comments throughout the code. > Finally, our blog post from two weeks ago is a deep-dive exploration of how this codebase works https://blog.redplanetlabs.com/2023/08/15/how-we-reduced-the... Previous discussion: https://news.ycombinator.com/item?id=37137