let it crashが生んだ誤解 - Qiita
ここ2年程のelixir人気に伴い, BEAM (つまりerlangとelixir) を使う人が増えました. しかし, let it crashという思想は誤解を残したまま世に広まったように感じています. 郷に入っては郷に従え. let it crashの思想をしっかり理解して実装していきたいものです. 前置き 大層なことを書きましたが, あくまでも個人的な見解であり, ポエムです. Erlang/OTPチームの見解とは異なる可能性がある点に気をつけてください. また, ご意見があればコメント欄に頂ければ幸いです. なお, Elixirのタグも付けていますが, 記事中のコードは全てErlangです. Elixirを書いている人にも知って欲しい, 「届けこの想い！」ということでタグは付けています. これらの点をご承知起きの上で読んで頂ければ幸いです.m(_ _)m let it crashの
Erlang -- Distributed Erlang
Expand All Contract All Chapters Introduction Top of chapter Purpose Prerequisites Document Conventions Complete List of BIFs Reserved Words Character Set and Source File Encoding Top of chapter Character Set Source File Encoding Data Types Top of chapter Terms Number Atom Bit Strings and Binaries Reference Fun Port Identifier PID Tuple Map List String Record Boolean Escape Sequences Type Conversi
The Zen of Erlang
This is a loose transcript (or long paraphrasing?) of a presentation given at ConnectDev'16, a conference organized by Genetec in which I was invited to speak. I assume most people here have never used Erlang, have possibly heard of it, maybe just the name. As such, this presentation will only cover the high level concepts of Erlang, in such a way that it may be useful to you in your work or side
Reddit - Dive into anything
Hi everyone! Was wondering what you guys thought about implementing distributed deep learning using erlang. Basically the deep neural network would be modelled with each neuron acting as a separate process. Since erlang allows millions of processes and also scales across machines, this method could be used to potentially model large neural networks. Thoughts?
Erlang Solutions - Scalable Distributed Technology
We build transformative solutions for the world’s most ambitious companies. By providing user-focused consultancy, high tech capabilities and connection to diverse communities. We’re the world-leading experts at building massively scalable distributed systems. We have over 20 years of experience building critical digital infrastructure that scales to billions of users without error. We create a re
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