What Kind of Asynchronous Is Right for You?

This page summarizes the projects mentioned and recommended in the original post on news.ycombinator.com

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  • rupy

    HTTP App. Server and JSON DB - Shared Parallel (Atomic) & Distributed

  • How this article does not mention SSE, comet or chunking escapes me.

    What does their definition of event-driven really look like in practice.

    Nobody has a clue.

    Here is the ideal event driven system, it's async-to-async: https://github.com/tinspin/rupy/wiki/Fuse

    The example is not working because I had to shut down the services for multiple reasons, but the high level of it is that you use 4 (potentially different) threads to do one request/response middle man transaction.

    That way you have _zero_ io-wait or idling. I'm surprised nobody has copied this approach since I invented it 10 years ago. I understand why though you need your entire chain to be async and that means rewriting everything and that is a big risk when it's hard to debug.

    But if you succeed you can build something that is 10x perf/watt than all other implementations. Which is going to be important when interest rates go higher and crash our entire industry.

  • 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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