In this episode we dive into the exciting release of Elixir 1.17.0-rc.1 and other news from the community. Our main segment features an in-depth interview with Ellie Fairholm and Josep Giralt D'Lacoste about their new Elixir book "Engineering Elixir Applications - Navigate Each Stage of Software Delivery with Confidence." We explore their professional experiences, the concept of "BeamOps," and the unique DevOps challenges and advantages in the BEAM ecosystem. Ellie and Josep share insights about the writing process, their collaboration, and what's next for the book. Tune in to hear all this and more!
Show Notes online - http://podcast.thinkingelixir.com/206 (http://podcast.thinkingelixir.com/206)
Elixir Community News
- https://x.com/josevalim/status/1797607009715691637 (https://x.com/josevalim/status/1797607009715691637?utm_source=thinkingelixir&utm_medium=shownotes) – José Valim announces the release of Elixir 1.17.0-rc.1.
- https://hexdocs.pm/elixir/1.17/gradual-set-theoretic-types.html (https://hexdocs.pm/elixir/1.17/gradual-set-theoretic-types.html?utm_source=thinkingelixir&utm_medium=shownotes) – Introduction to gradual set-theoretic types in Elixir 1.17.
- https://github.com/elixir-lang/elixir/blob/v1.17/CHANGELOG.md (https://github.com/elixir-lang/elixir/blob/v1.17/CHANGELOG.md?utm_source=thinkingelixir&utm_medium=shownotes) – Detailed changelog of Elixir 1.17.0-rc.1.
- Added mix profile.tprof profiler in Erlang/OTP 27+ and Deprecated mix profile.cprof and mix profile.eprof.
- https://2024.elixirconf.com/ (https://2024.elixirconf.com/?utm_source=thinkingelixir&utm_medium=shownotes) – Information about ElixirConfUS 2024, including keynotes, speakers, and training.
- David speaking on “Dancing with Data, Guide to ETLs” at ElixirConfUS 2024.
- Mark speaking on “Elixir & AI - Creating Autonomous Agents with LangChain” at ElixirConfUS 2024.
- https://dashbit.co/blog/elixir-ml-s1-2024-mlir-arrow-instructor (https://dashbit.co/blog/elixir-ml-s1-2024-mlir-arrow-instructor?utm_source=thinkingelixir&utm_medium=shownotes) – José Valim's post on the Dashbit blog discussing the state of ML in Elixir in 2024.
- https://mlir.llvm.org/ (https://mlir.llvm.org/?utm_source=thinkingelixir&utm_medium=shownotes) – Introduction of MLIR (Multi-Level Intermediate Representation) in Elixir's ML projects.
- Broader ML/AI community and new projects in Elixir, including instructor_ex and Elixir LangChain.
- https://x.com/germsvel/status/1796127412511551857 (https://x.com/germsvel/status/1796127412511551857?utm_source=thinkingelixir&utm_medium=shownotes) – German Velasco's video showcasing new OTP 27 process labels feature.
- https://www.youtube.com/watch?v=XNQhDl4a9Ko (https://www.youtube.com/watch?v=XNQhDl4a9Ko?utm_source=thinkingelixir&utm_medium=shownotes) – Google algorithm leak exposed through a GitHub project explained using Elixir.
- https://x.com/akoutmos/status/1796637514704273870 (https://x.com/akoutmos/status/1796637514704273870?utm_source=thinkingelixir&utm_medium=shownotes) – Akoutmos discusses the Google algorithm leak and its analysis using Elixir.
- https://hexdocs.pm/googleapicontent_warehouse/api-reference.html (https://hexdocs.pm/google_api_content_warehouse/api-reference.html?utm_source=thinkingelixir&utm_medium=shownotes) – Hexdocs publish the Google algorithm API reference.
- https://ipullrank.com/google-algo-leak (https://ipullrank.com/google-algo-leak?utm_source=thinkingelixir&utm_medium=shownotes) – Analysis of Google's algorithm leak and relevancy to Elixir.
- https://x.com/PJUllrich/status/1796198764681506898 (https://x.com/PJUllrich/status/1796198764681506898?utm_source=thinkingelixir&utm_medium=shownotes) – Introducing Crawly, an application framework for web crawling and data extraction.
- https://github.com/elixir-crawly/crawly (https://github.com/elixir-crawly/crawly?utm_source=thinkingelixir&utm_medium=shownotes) – GitHub repository for the Crawly web crawling framework.
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