Data Processing with Ruby, RabbitMQ, and Sneakers — Citrine Informatics
At Citrine, we have a long data pipeline that processes data uploaded by our users. This data can be as simple as a basic PDF document, or as complex as a rigidly structured set of materials properties in a CSV or JSON file.To make it easy for clients in multiple languages to join the fun, we chose RabbitMQ for messaging. This post has a few tips & tricks you might find handy when using RabbitMQ w
Sneakers | Performance Background Processing for Ruby
Performance. Combined multi-process and multi-threaded processing model maxes out all your cores. Workers. Out of the box worker management, metrics, message handling and more, while being highly configurable and easily extensible. RabbitMQ. We built on RabbitMQ — a robust, performant and stable queue broker that everyone loves.
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GitHub - jondot/sneakers: A fast background processing framework for Ruby and RabbitMQ
