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Hey all, I'm the author of Storm. Just wanted to point you to a few resources:

I've written a lot of documentation on the wiki, which you can find here: https://github.com/nathanmarz/storm/wiki

There's a few companion projects to Storm. These are:

One-click deploy for Storm on EC2: https://github.com/nathanmarz/storm-deploy

Adapter to use Kestrel as a Spout within Storm: https://github.com/nathanmarz/storm-kestrel

Starter project with example topologies that you can run in local mode: https://github.com/nathanmarz/storm-starter

Feel free to ask me questions here or on Storm's mailing list ( http://groups.google.com/group/storm-user ), and I'll answer as best I can!

Thank you for releasing such thorough documentation with your project; it is a great indicator of professionalism and passion. ^.^

Thanks! Good documentation is a critical part of having a usable project, and that will always be a focus of Storm. If you have any feedback for how the documentation can be better, please let me know.

Just to point out, Nathan will be speaking at the Clojure/Conj conference this year. Talking about Cascalog.

I have a schedule conflict this year :( but would recommend the conference to everyone - the first year was informative with contagious enthusiasm. The other speakers also look cool.

Why did you guys go with clojure, instead of something maybe like scala?

I've had a ton of success using Clojure with projects like Cascalog and ElephantDB. It's a phenomenal language.

And one more resource... here are the slides from my launch presentation of Storm:


Nathan, Congratulations on the awesome work, Storm looks really great.

A minor nit, I was looking at the code, and all the hanging parens make it look really sad :-(

Bah, why the downvote? I was pointing out a major Lisp convention.

How does Storm compare to Kafka?

Hi nathan, how does this compare to S4?

The biggest difference is that Storm guarantees that data will be processed, whereas S4 can lose data. I also think Storm is significantly easier to use.

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