pathom3 VS Aeron

yeah, I picked cheshire just to create a minimal reproducible example. In fact what I was trying to do was developing a Pathom3 server with nbb and deploy it to GCP Cloud Functions. I thought I needed muuntaja to convert from edn to JSON and back. And since muuntaja wasn't working I tried the first library it came to mind.

Definitely check out pathom3 as well. It's a much improved version of pathom2.

Wilker Lucio (https://github.com/wilkerlucio) will be presenting Phantom 3 (https://github.com/wilkerlucio/pathom3). Pathom way provides a new way to think about and manipulate information. It both works for computing information locally or integrating data in a distributed architecture. You can find more info at: https://blog.wsscode.com/pathom-3-is-coming/

Semi-related is the Aeron project: https://github.com/real-logic/aeron

- ez itt most egy izgalmasabb product (trading/matching engine, low latency code, aeron alapokon)

Look into Aeron for examples of high performance UDP message sending. We use it for high performance audio messaging, and I previously used it in high frequency trading https://github.com/real-logic/aeron. It is written in Java/C, but the general concepts of back pressure and reliable delivery over UDP are well documented.

They mention their training offer on the Aeron GitHub page here: https://github.com/real-logic/aeron

Yup the Disruptor paper actually shocked the industry a bit, b/c it was so out of place. BTW, Martin Thompson went on improving the Disruptor, and the result is the Aeron Protocol: https://github.com/real-logic/aeron

I was about to suggest Chronicle, but it looks like they have gone closed-source. The older version is still interesting to look through though. Aeron / Disruptor / SBE are good projects for inspiration as well.

We are using this Java Aeron (https://github.com/real-logic/aeron) to build our production distributed messaging cluster. As a Rust lover, Is there any similar lib or framework in our ecosystem to test benchmark with it?

Java: In the past years C++ in finance has been rapidly supplanted by Java thanks to breakthrough technologies in the past decade like LMAX Disruptor, Chronicle Queue, Azul JVM, and Aeron (not the ergonomic chair, but this one, the transport protocol that breaks kafka performance records out of the park - not really a full kafka replacement, as Kafka enforces subscriber GD and aeron is more of an OSI layer 4 better than TCP; google "Best-effort delivery vs reliable delivery"). There's plenty more but thanks to these technologies, they allowed a Java based stack to perform the latency and throughput requirements needed for high frequency trading/HFT. From top trading firms like Two Sigma to the New York Stock Exchange, they're in Java. For banks, large modern western banks worth their salt and have modernized their systems are dominated by Java, especially thanks to Azul. To list a few banks, ING, Wells Fargo, Credit Suisse, and Barclays are all in Azul. Even at work Java still dominates.