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by goykasi 4183 days ago
I wrote a similar Go package for running work loads in parallel, but I used beanstalkd for job/result transport. This allows me a bit more freedom to spread the workers/requesters across my network. It's a bit rough around the edges and could use some refactoring, but it works well for my uses.

https://github.com/eramus/worker

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