Introducing Elixir: Your entire web stack
summary
Demo shows a web app that captures microphone audio with media processing and ML entirely in Elixir (no Python, minimal JavaScript) and feeds a live SVG waveform. Phoenix LiveView powers the UI as Phoenix LiveView with almost no JavaScript, Phoenix ships esbuild and Tailwind as binaries, and Membrane handles media streaming. Claims include 2 million concurrent connections on one server, Bumblebee/Nx enables ML and GPU batching from Elixir, and Livebook plus Live Dashboard provide heavy-duty observability.
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chapters (15)
- 0:00Elixir full-stack promise
- 3:56Live demo media processing
- 6:28Language design BEAM
- 13:44Ruby-like meets Erlang power
- 16:59Phoenix real-time web
- 19:53Phoenix LiveView frontends
- 23:08Pragmatic community FP
- 25:13Membrane media streaming
- 27:03Bumblebee ML in Elixir
- 32:01ML integration LiveBook
- 33:24Nerves embedded systems
- 34:28Deployment BEAM clustering
- 35:54Observability debugging Elixir
- 37:42LiveView simplified infra
- 38:48Conclusion Elixir future
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24mLearn Elixir by Building a Real Time CLI Chat App (Part 2)
39mLearn Elixir by Building a Real Time CLI Chat App (Part 3)
44mMedical Messaging: An Elixir For Healthcare
06h 28mDay 5
