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Deep walkthrough of Erlang-RED from TADSummit, led by Gerrit Riessen (creator of Erlang-RED), with contributions from Vance Shipley (SigScale Global Inc.), Jonathan Eisenzopf (Talk…

An interview with Vance Shipley (SigScale Global Inc.) and Viacheslav Katsuba (Scalicon Inc.), discussing how Erlang/OTP powers fault-tolerant and massively scalable systems in tel…

Erlang/OTP continues to power some of the world’s most reliable, scalable real-time systems - from telecom and fintech platforms to Voice AI and IoT. With built-in fault tolerance,…

Fascinating project! The approach to enhancing the dataset and exploring feature engineering for something as dynamic as Dota 2 must have been a serious challenge, but the results …

You're welcome! It was a great read, and I'm happy to share it. Looking forward to more of your insights in the future! Keep up the fantastic work!

I recently came across a fantastic article detailing the journey of building a Dota 2 Match Outcome Predictor using machine learning. The author dives deep into data analysis, feat…

You can take a look to the interview with Francesco Cesarini https://www.youtube.com/watch?v=-m31ag9z4VY for more details - here is provided a part where compared JVM with a BEAM.

If you want to expand the examples or improve the topic - just leave a comment about it.

This is a good point, thanks! I will extend the topic or maybe will be better to provide new topic as continuation of the current topic - since putting everything in one article ca…

yes, they are incredibly useful for development and finding bottlenecks

Pretty interesting!