The right way of parallelizing tasks in a Rails application

This page summarizes the projects mentioned and recommended in the original post on /r/rails

InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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  • concurrent_rails

    🕹 Small library to make concurrent-ruby and Rails play nice together

  • I wrote a blog post about it here and since I've been using concurrent-ruby, I created a small library called concurrent-rails that does the "heavy" lifting for me.

  • Concurrent Ruby

    Modern concurrency tools including agents, futures, promises, thread pools, supervisors, and more. Inspired by Erlang, Clojure, Scala, Go, Java, JavaScript, and classic concurrency patterns.

  • yes, but `Future` is being deprecated according to the docs. This syntax should possible with Promises (although on my library, it is not working as I expected, I need to look into it hahaha)

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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