Nix for Elixir Apps with Norbert (NobbZ) Melzer

Elixir Wizards

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Web Development

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محتوای ارائه شده توسط SmartLogic LLC. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط SmartLogic LLC یا شریک پلتفرم پادکست آن‌ها آپلود و ارائه می‌شوند. اگر فکر می‌کنید شخصی بدون اجازه شما از اثر دارای حق نسخه‌برداری شما استفاده می‌کند، می‌توانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal

NerdWallet's Smart Money Podcast

1
The Right Way to Dodge Scams, Plus Learn How Robo-Investing Works 29:56

۵ weeks پیش29:56

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دوست داشته شد

29:56

Learn how to dodge scams to protect your money, then understand how to compare robo vs. traditional investment risks. What should you do if your credit card is compromised in a scam? Are robo-advisors riskier than traditional brokerage accounts? Hosts Sean Pyles and Elizabeth Ayoola discuss how to spot and respond to identity theft and dig into how robo-advisors stack up to traditional investing platforms to help you protect your financial life. They kick off Smart Money’s new Scam Stories series by welcoming guest Scramble Hughes, a circus performer and scam victim, who shares a real-life experience with credit card fraud. They discuss tips and tricks on recognizing red flags like mass spam messages, acting fast by calling the number on your card (not clicking links), and filing credit freezes with all three credit bureaus. Then, investing Nerd Bella Avila joins Sean and Elizabeth to discuss how robo-advisors compare to traditional brokerage accounts. They discuss risk levels in automated portfolios, SIPC insurance protections, and key factors to consider when choosing a platform like account minimums, platform stability, and user experience. See NerdWallet’s top picks for the best robo-advisors of 2025 here: https://www.nerdwallet.com/best/investing/robo-advisors Want us to review your budget? Fill out this form — completely anonymously if you want — and we might feature your budget in a future segment! https://docs.google.com/forms/d/e/1FAIpQLScK53yAufsc4v5UpghhVfxtk2MoyooHzlSIRBnRxUPl3hKBig/viewform?usp=header In their conversation, the Nerds discuss: credit card fraud, how to report identity theft, robo advisor vs brokerage account, SIPC insurance limits, credit freeze Experian, how to freeze your credit, credit card scams TikTok, how to know if a text is a scam, what is a robo advisor, tax loss harvesting robo advisor, ETF risk robo advisor, ETF diversification, FDIC vs SIPC, how to block spam texts, freeze credit TransUnion, safest robo advisors 2025, best robo advisor for ETFs, hacked credit card reader, RFID credit card theft, how to recover from identity theft, difference between SIPC and FDIC, scams targeting small business owners, how to secure your investment accounts, how to protect credit card information, email spam after identity theft, what to do after credit card theft, how long do fraud refunds take, when to freeze credit, best practices after identity theft, and comparing investment platform safety. To send the Nerds your money questions, call or text the Nerd hotline at 901-730-6373 or email podcast@nerdwallet.com . Like what you hear? Please leave us a review and tell a friend. Learn more about your ad choices. Visit megaphone.fm/adchoices…

حدود یک سال پیش 41:15

MP3•خانه قسمت

Norbert shares his journey from Ruby to Elixir, contrasts Nix with NixOS, and walks us through flakes, nix-shell workflows, sandboxed builds, and rollback capabilities. Along the way, we cover real-world tips for managing Hex authentication, integrating Nix into CI/CD, wrapping Mix releases in Docker, and avoiding common pitfalls, such as flake performance traps.

Whether you’re spinning up your first dev shell or rolling out a production release on NixOS, you’ll come away with a clear, gradual adoption path and pointers to the community mentors and resources that can help you succeed.

Key topics discussed in this episode:

Reproducible, sandboxed builds vs. traditional package managers
Nix flakes for locked dependency graphs and version pinning
nix-shell: creating consistent development environments across teams
Rollback and immutable deployment strategies with Nix/NixOS
Integrating Nix with the Elixir toolchain: Hex, Mix, and CI/CD pipelines
Flakes vs. standard shells: when and how to transition
Handling private Hex repositories and authentication in Nix
Cross-platform support (macOS/Darwin, Linux variants)
Channels, overlays, and overrides for customizing builds
Dockerizing Elixir releases using Nix-based images
Home Manager for personal environment configuration
Security patching workflows in a Nix-managed infrastructure
Common pitfalls: flake performance, sandbox workarounds, and symlink behavior
Community resources and the importance of human mentorship

Links mentioned:

https://jobrad-loop.com/
https://nixos.org/
https://nix.dev/
https://nix.dev/manual/nix/2.18/command-ref/nix-shell
https://github.com/nix-darwin/nix-darwin
https://asdf-vm.com/
https://go.dev/
https://docs.redhat.com/en/documentation/red_hat_enterprise_linux/8/html/packaging_and_distributing_software/introduction-to-rpm_packaging-and-distributing-software
Nix Flake templates for Elixir https://github.com/jurraca/elixir-templates
https://www.docker.com/
https://www.sudo.ws/
https://ubuntu.com/
https://archlinux.org/
Nobbz’s blog https://blog.nobbz.dev/blog/
https://ayats.org/blog/nix-workflow
@nobbz.dev on BlueSky
@NobbZ1981 on Twitter
https://www.linkedin.com/in/norbert-melzer/
https://youtu.be/HbtbdLolHeM?si=6M7fulTQZmuWGGCM (talk on CodeBEAM)

203 قسمت

#Web Development #Software Development #Elixir #Elixirlang #Phoenix #Webdev #SmartLogic LLC #Tech #Podcasting Education #Web App #Mobile App #JavaScript #Ruby On Rails #Programming #Code #Java

Elixir Wizards

Nix for Elixir Apps with Norbert (NobbZ) Melzer

Elixir Wizards

69 subscribers

published حدود یک سال پیش

اشتراک گذاری

MP3•خانه قسمت

Key topics discussed in this episode:

Reproducible, sandboxed builds vs. traditional package managers
Nix flakes for locked dependency graphs and version pinning
nix-shell: creating consistent development environments across teams
Rollback and immutable deployment strategies with Nix/NixOS
Integrating Nix with the Elixir toolchain: Hex, Mix, and CI/CD pipelines
Flakes vs. standard shells: when and how to transition
Handling private Hex repositories and authentication in Nix
Cross-platform support (macOS/Darwin, Linux variants)
Channels, overlays, and overrides for customizing builds
Dockerizing Elixir releases using Nix-based images
Home Manager for personal environment configuration
Security patching workflows in a Nix-managed infrastructure
Common pitfalls: flake performance, sandbox workarounds, and symlink behavior
Community resources and the importance of human mentorship

Links mentioned:

203 قسمت

#Web Development #Software Development #Elixir #Elixirlang #Phoenix #Webdev #SmartLogic LLC #Tech #Podcasting Education #Web App #Mobile App #JavaScript #Ruby On Rails #Programming #Code #Java

Усі епізоди

Elixir Wizards

1
Enter the Elixirverse: Season 14 Wrap-Up 33:34

۵ روز پیش33:34

33:34

Today, the Elixir Wizards wrap up Season 14 “Enter the Elixirverse.” Dan, Charles, and Sundi look back at some common themes: Elixir plays well with others, bridges easily to access languages and tools, and remains a powerful technology for data flow, concurrency, and developer experience. We revisit the popular topics of the year, from types and tooling to AI orchestration and reproducible dev environments, and share what we’re excited to explore next. We also invite your questions and takeaways to help shape future seasons and conference conversations. Season 14 doubles as a handy primer for anyone curious about how Elixir integrates across the stack. Key topics discussed in this episode: Lessons from a season of interoperability Set-theoretic types and what new compiler warnings unlock AI in practice: LLM orchestration, fallbacks, and real-world use SDUI and GraphQL patterns for shipping UI across web/iOS/Android Dataframes in Elixir with Explorer for analytics workflows Python interoperability (ErlPort, PythonX) and when to reach for it Reproducible dev environments with Nix and friends Performance paths: Rustler and Zig for native extensions Bluetooth & Nerves: Blue Heron and hardware integrations DevEx upgrades: LiveView, build pipelines, and standard project setup Observability and ops: Prometheus/Grafana and sensible deployments Community feedback, conferences, and what’s on deck for next season ### Links mentioned in this episode: Cars.com S14E06 SDUI at Scale with Elixir https://youtu.be/nloRcgngT_k?si=g4Zd4N1s56Ronrtw https://hexdocs.pm/phoenix_live_view/Phoenix.LiveView.html https://wordpress.com/ https://elixir-lang.org/ S14E01 Zigler: Zig NIFs for Elixir https://youtu.be/hSAvWxh26TU?si=d5_5tVuZbNw0KCfT https://ziglang.org/ https://hexdocs.pm/zigler/Zig.html https://github.com/blue-heron/blue_heron https://github.com/elixir-explorer/explorer S14E08 Nix for Elixir Apps https://youtu.be/yymUcgy4OAk?si=BRgTlc2VK5bsIhIf https://nixos.org/ https://nix.dev/ S14E07 Set Theoretic Types in Elixir https://youtu.be/qMmEnXcHxL4?si=Ux2lebiwEp3mc_0e S14E10 Python in Elixir Apps https://youtu.be/SpVLrrWkRqE?si=ld3oQVXVlWHpo7eV https://www.python.org/ https://hexdocs.pm/pythonx/ https://github.com/Pyrlang/Pyrlang https://github.com/erlport/erlport S14E03 LangChain: LLM Integration for Elixir https://youtu.be/OwFaljL3Ptc?si=A0sDs2dzJ0UoE2PY https://github.com/brainlid/langchain S14E04 Nx & Machine Learning in Elixir https://youtu.be/Ju64kAMLlkw?si=zdVnkBTTLHvIZNBm S14E05 Rustler: Bridging Elixir and Rust https://youtu.be/2RBw7B9OfwE?si=aRVYOyxxW8fTmoRA https://github.com/rusterlium/rustler Season 3: Working with Elixir https://youtube.com/playlist?list=PLTDLmInI9YaDbhMRpGuYpboVNbp1Fl9PD&si=hbe7qt4gRUfrMtpj S14E11 Vibe Coding the LoopedIn Crochet App https://youtu.be/DX0SjmPE92g?si=zCBPjS1huRDIeVeP Season 5: Adopting Elixir YouTubeLaunchisode and Outlaws Takeover with Chris Keathley, Amos King, and Anna Neyzberg S13E01 Igniter: Elixir Code Generation https://youtu.be/WM9iQlQSF_g?si=e0CAiML2qC2SxmdL Season 8: Elixir in a Polyglot Environment https://youtube.com/playlist?list=PLTDLmInI9YaAPlvMd-RDp6LWFjI67wOGN&si=YCI7WLA8qozD57iw !! We Want to Hear Your Thoughts *!! * Have questions, comments, or topics you'd like us to discuss on the podcast? Share your thoughts with us here: https://forms.gle/Vm7mcYRFDgsqqpDC9…

Elixir Wizards

1
Elixir DevOps & Interoperability with Dan Ivovich and Charles Suggs 47:12

19 روز پیش47:12

47:12

In this episode of Elixir Wizards, host Sundi Myint chats with SmartLogic engineers and fellow Wizards Dan Ivovich and Charles Suggs about the practical tooling that surrounds Elixir in a consultancy setting. We dig into how standardized dev environments, sensible scaffolding, and clear observability help teams ship quickly across many client projects without turning every app into a snowflake. Join us for a grounded tour of what’s working for us today (and what we’ve retired), plus how we evaluate new tech (including AI) through a pragmatic, Elixir-first lens. Key topics discussed in this episode: Standardizing across projects: why consistent environments matter in consultancy work Nix (and flakes) for reproducible dev setups and faster onboarding Igniter to scaffold common patterns (auth, config, workflows) without boilerplate drift Deployment approaches: OTP releases, runtime config, and Ansible playbooks Frontend pipeline evolution: from Brunch/Webpack to esbuild + Tailwind Observability in practice: Prometheus metrics and Grafana dashboards Handling time-series and sensor data When Explorer can be the database Picking the right tool: Elixir where it shines, integrations where it counts Using AI with intention: code exploration, prototypes, and guardrails for IP/security Keeping quality high across multiple codebases: tests, telemetry, and sensible conventions Reducing context-switching costs with shared patterns and playbooks Links mentioned: http://smartlogic.io https://nix.dev/ https://github.com/ash-project/igniter Elixir Wizards S13E01 Igniter with Zach Daniel https://youtu.be/WM9iQlQSF_g https://github.com/elixir-explorer/explorer Elixir Wizards S14E09 Explorer with Chris Grainger https://youtu.be/OqJDsCF0El0 Elixir Wizards S14E08 Nix with Norbert (Nobbz) Melzer https://youtu.be/yymUcgy4OAk https://jqlang.org/ https://github.com/BurntSushi/ripgrep https://github.com/resources/articles/devops/ci-cd https://prometheus.io/ https://capistranorb.com/ https://ansible.com/ https://hexdocs.pm/phoenix/releases.html https://brunch.io/ https://webpack.js.org/loaders/css-loader/ https://tailwindcss.com/ https://sass-lang.com/dart-sass/ https://grafana.com/ https://pragprog.com/titles/passweather/build-a-weather-station-with-elixir-and-nerves/ https://www.datadoghq.com/ https://sqlite.org/ Elixir Wizards S14E06 SDUI at Cars.com with Zack Kayser https://youtu.be/nloRcgngT_k https://github.com/features/copilot https://openai.com/codex/ https://www.anthropic.com/claude-code YouTube Video: Vibe Coding TEDCO's RFP https://youtu.be/i1ncgXZJHZs Blog: https://smartlogic.io/blog/how-i-used-ai-to-vibe-code-a-website-called-for-in-tedco-rfp/ Blog: https://smartlogic.io/blog/from-vibe-to-viable-turning-ai-built-prototypes-into-market-ready-mvps/ https://www.thriftbooks.com/w/eragon-by-christopher-paolini/246801 https://tidewave.ai/ !! We Want to Hear Your Thoughts *!! * Have questions, comments, or topics you'd like us to discuss in our season recap episode? Share your thoughts with us here: https://forms.gle/Vm7mcYRFDgsqqpDC9…

Elixir Wizards

1
Vibe Coding the LoopedIn Crochet App with Kimberly Erni & Pei Pei Wang 39:44

26 روز پیش39:44

39:44

Today, co-founders Kimberly Erni and Pei Pei Wang join the Elixir Wizards to discuss their crochet app, LoopedIn. Recognizing a gap in the market for a more user-friendly and interactive crochet pattern experience, they're building an app that makes following patterns easier and more enjoyable for crocheters of all skill levels. They're building features such as step-by-step guidance, video tutorials, and the ability to upload and convert PDF patterns into an interactive format. Kimberly explains how she's leveraging AI tools to vibe code in Elixir and LiveView. They highlight the challenges and successes they encountered while creating a Progressive Web App (PWA) that integrates AI-powered features. They also discuss their user research and testing process, which involved gathering feedback from the crochet community to prioritize features and improve the app's UX. Kimberly and Pei Pei share their thoughts on the potential of AI in the tech industry and how it has assisted them in the development and iteration process. They emphasize the importance of understanding the code generated by AI and the need for proper testing and verification. They offer advice to others looking to create passion projects, stressing the value of finding a partner with complementary skills and shared enthusiasm for the project. Topics discussed in this episode: Discovering a niche: why crochet patterns need a digital makeover Core LoopedIn features: interactive steps, video help, PDF conversion Building a PWA with Elixir & Phoenix LiveView for cross-platform reach Offline support and caching strategies for on-the-go crafting AI-driven pattern parsing: benefits and pitfalls of generated code User research: gathering feedback from beginner to expert crocheters Agile iterations: testing, prioritizing features, and shipping quickly Balancing “vibe coding” with quality assurance and proper test coverage Partnership dynamics: complementary skills and shared passion Monetization approaches for a niche, community-driven app Roadmap highlights: expanded social features, advanced AI tooling, and more Lessons learned: documentation gaps, performance tuning, and UX trade-offs Advice for side projects: start small, validate with users, and iterate Links mentioned: Amigurumis https://www.amigurumi.com/ https://pragmaticstudio.com/phoenix-liveview https://grox.io/about-product/liveview Creating a Local First LiveView App https://www.youtube.com/watch?v=kcafwf14SDo https://capacitorjs.com/docs https://flutter.dev/ https://passion.place/ https://cursor.com/ https://claude.ai/ https://nerves-project.org/ https://crochetapp.web.app/ https://www.figma.com/ Little Red Book App https://www.xiaohongshu.com/ !! Try the LoopedIn app here 👉 https://looped-in.gigalixirapp.com *!! * Add it to your phone like an app: Open the link in Safari Tap the Share button (square with arrow) Tap Add to Home Screen Tap Add Then you can open it like a regular app! 🎉 Leave a comment if you try it! !! We Want to Hear Your Thoughts *!! * Have questions, comments, or topics you'd like us to discuss in our season recap episode? Share your thoughts with us here: https://forms.gle/Vm7mcYRFDgsqqpDC9…

Elixir Wizards

1
Python in Elixir Apps with Victor Björklund 35:02

۵ weeks پیش35:02

35:02

In this episode, Elixir Wizard Charles Suggs sits down with Victor Björklund to map out the landscape of Python integration in Elixir applications. From HTTP APIs and external services to embedded runtimes like ErlPort, PythonX, and the Venomous library, we evaluate each approach’s impact on performance, coupling, and developer experience. Victor draws on real-world examples like Scrapy-based web scraping and the Swedish BankID authentication to illustrate best practices for error handling, process pooling, and effective telemetry across the BEAM boundary. We also tackle the practical side of deployment: packaging Python dependencies in Mix releases, mocking Python calls in tests, and deploying multi-language apps with confidence. Wrapping up, Victor shares his wishlist for even tighter interop (think multiple Python interpreter instances per VM) and offers low-risk entry points, like automating monthly reports, for teams ready to explore the power of Python’s ecosystem within Elixir. Key topics discussed in this episode: Integration methods: HTTP APIs, ports, ErlPort, PythonX, Venomous Performance vs. coupling trade-offs across interop patterns Managing the Global Interpreter Lock (GIL) with process pools Leveraging mature Python libraries (Scrapy, BankID, etc.) Error handling strategies across BEAM↔Python boundaries Testing mixed-language systems: mocks and integration tests Packaging and deploying Python alongside Elixir releases Monitoring and telemetry for multi-language pipelines Functional programming advantages in Elixir workflows Tool selection guidance by project requirements Future possibilities: multiple Python interpreters in one VM Community resources for Python–Elixir interop help Links mentioned: jawdropping.io https://cplusplus.com/ https://www.python.org/ https://react.dev/ https://nodejs.org/en https://erlport.org/ https://hexdocs.pm/pythonx/Pythonx.html https://pyrlang.github.io/Pyrlang/ Python GIL (Global Interpreter Lock): https://realpython.com/python-gil/ https://github.com/devinus/poolboy https://hexdocs.pm/venomous/Venomous.html Try-catch https://syntaxdb.com/ref/python/try-catch https://www.scrapy.org/ https://www.bankid.com/en/ https://www.phoenixframework.org/ https://www.tzeyiing.com/posts/using-a-hunky-poolboy-to-manage-your-python-erlport-processes-in-elixir/ https://medium.com/stuart-engineering/how-we-use-python-within-elixir-486eb4d266f9 https://x.com/bjorklundvictor https://victorbjorklund.com/ https://www.linkedin.com/in/victorbjorklund/ hello@victorbjorklund.com…

Elixir Wizards

1
Explorer: Data Frames in Elixir with Chris Grainger 42:55

۶ weeks پیش42:55

42:55

In this episode of Elixir Wizards, Charles Suggs sits down with Chris Grainger, co-founder and CTO of Amplified and creator of the Explorer library. Chris explains how Explorer brings the familiar data-frame workflows of R’s dplyr and Python’s pandas into the Elixir world. We explore (pun intended!) how Explorer integrates with Ecto, Nx, and LiveView to build end-to-end data pipelines without leaving the BEAM, and how features like lazy evaluation and distributed frames let you tackle large datasets. Whether you’re generating reports or driving interactive charts in LiveView, Explorer makes tabular data accessible to every Elixir developer. We wrap up by looking ahead to SQL-style backends, ADBC connectivity, and other features on the Explorer roadmap. Key topics discussed in this episode: dplyr- and pandas-inspired data manipulation in Elixir Polars integration via Rust NIFs for blazing performance Immutable data frames and BEAM-friendly concurrency Lazy evaluation to work with arbitrarily large tables Distributed data-frame support for multi-node processing Seamless integration with Ecto schemas and queries Zero-copy interoperability between Explorer and Nx tensors Apache Arrow and ADBC protocols for cross-language I/O Exploring SQL-style backends for remote query execution Building interactive dashboards and charts in LiveView Consolidating ETL workflows into a single Elixir API Streaming data pipelines for memory-efficient processing Tidy data principles and behavior-based API design Real-world use cases: report generation, patent analysis, and more Future roadmap: new backends, query optimizations, and community plugins Links mentioned: https://hexdocs.pm/explorer/Explorer.html https://www.amplified.ai/ https://www.r-project.org/ https://vita.had.co.nz/papers/tidy-data.pdf https://www.tidyverse.org/ https://www.python.org/ https://dplyr.tidyverse.org/ https://go.dev/ https://hexdocs.pm/nx/Nx.html https://github.com/pola-rs/polars https://github.com/rusterlium/rustler https://www.rust-lang.org/ https://www.postgresql.org/ https://hexdocs.pm/ecto/Ecto.html https://www.elastic.co/elasticsearch https://arrow.apache.org/ Chris Grainger & Chris McCord Keynote ElixirConf 2024: https://youtu.be/4qoHPh0obv0 https://dbplyr.tidyverse.org/ https://spark.posit.co/ https://hexdocs.pm/pythonx/Pythonx.html https://hexdocs.pm/vega_lite/VegaLite.html 10 Minutes to Explorer: https://hexdocs.pm/explorer/exploring_explorer.html https://github.com/elixir-nx/scholar https://scikit-learn.org/stable/ https://github.com/cigrainger https://erlef.org/slack-invite/erlef https://bsky.app/profile/cigrainger.bsky.social https://github.com/cigrainger…

Elixir Wizards

1
Nix for Elixir Apps with Norbert (NobbZ) Melzer 41:15

۷ weeks پیش41:15

41:15

In this episode of Elixir Wizards, Dan Ivovich and Charles Suggs sit down with Norbert “NobbZ” Melzer to discuss how Nix enables reproducible builds, consistent development environments, and reliable deployments for Elixir projects. Norbert shares his journey from Ruby to Elixir, contrasts Nix with NixOS, and walks us through flakes, nix-shell workflows, sandboxed builds, and rollback capabilities. Along the way, we cover real-world tips for managing Hex authentication, integrating Nix into CI/CD, wrapping Mix releases in Docker, and avoiding common pitfalls, such as flake performance traps. Whether you’re spinning up your first dev shell or rolling out a production release on NixOS, you’ll come away with a clear, gradual adoption path and pointers to the community mentors and resources that can help you succeed. Key topics discussed in this episode: Reproducible, sandboxed builds vs. traditional package managers Nix flakes for locked dependency graphs and version pinning nix-shell: creating consistent development environments across teams Rollback and immutable deployment strategies with Nix/NixOS Integrating Nix with the Elixir toolchain: Hex, Mix, and CI/CD pipelines Flakes vs. standard shells: when and how to transition Handling private Hex repositories and authentication in Nix Cross-platform support (macOS/Darwin, Linux variants) Channels, overlays, and overrides for customizing builds Dockerizing Elixir releases using Nix-based images Home Manager for personal environment configuration Security patching workflows in a Nix-managed infrastructure Common pitfalls: flake performance, sandbox workarounds, and symlink behavior Community resources and the importance of human mentorship Links mentioned: https://jobrad-loop.com/ https://nixos.org/ https://nix.dev/ https://nix.dev/manual/nix/2.18/command-ref/nix-shell https://github.com/nix-darwin/nix-darwin https://asdf-vm.com/ https://go.dev/ https://docs.redhat.com/en/documentation/red_hat_enterprise_linux/8/html/packaging_and_distributing_software/introduction-to-rpm_packaging-and-distributing-software Nix Flake templates for Elixir https://github.com/jurraca/elixir-templates https://www.docker.com/ https://www.sudo.ws/ https://ubuntu.com/ https://archlinux.org/ Nobbz’s blog https://blog.nobbz.dev/blog/ https://ayats.org/blog/nix-workflow @nobbz.dev on BlueSky @NobbZ1981 on Twitter https://www.linkedin.com/in/norbert-melzer/ https://youtu.be/HbtbdLolHeM?si=6M7fulTQZmuWGGCM (talk on CodeBEAM)…

Elixir Wizards

1
Set Theoretic Types in Elixir with José Valim 45:40

۸ weeks پیش45:40

45:40

Elixir creator José Valim returns to the podcast to unpack the latest developments in Elixir’s set-theoretic type system and how it is slotting into existing code without requiring annotations. We discuss familiar compiler warnings, new warnings based on inferred types, a phased rollout in v1.19/v1.20 that preserves backward compatibility, performance profiling the type checks across large codebases, and precise typing for maps as both records and dictionaries. José also touches on CNRS academic collaborations, upcoming LSP/tooling enhancements, and future possibilities like optional annotations and guard-clause typing, all while keeping Elixir’s dynamic, developer-friendly experience front and center. Key topics discussed in this episode: Set-theoretic typing (union, intersection, difference) Compiler-driven inference with zero annotations Phased rollout strategy in 1.19 and 1.20 Performance profiling for large codebases Map typing as records and dictionaries Exhaustivity checks and behavioral typing in GenServers Language Server Protocol & tooling updates Future optional annotations and guard-clause typing CNRS collaboration for theoretical foundations Clear error messages and false-positive reduction Community-driven feedback and iterative improvements Links mentioned: https://github.com/elixir-nx https://livebook.dev/ https://hexdocs.pm/phoenix_live_view/Phoenix.LiveView.html https://hexdocs.pm/elixir/main/gradual-set-theoretic-types.html https://hexdocs.pm/dialyxir/0.4.0/readme.html https://remote.com/ Draw the Owl meme: https://i.imgur.com/rCr9A.png https://dashbit.co/blog/data-evolution-with-set-theoretic-types https://hexdocs.pm/ecto/Ecto.html https://github.com/elixir-lsp/elixir-ls Special Guest: José Valim.…

Elixir Wizards

1
SDUI at Scale: GraphQL & Elixir at Cars.com with Zack Kayser 49:18

۹ weeks پیش49:18

49:18

Zack Kayser, Staff Software Engineer at cars.com, joins Elixir Wizards Sundi Myint and Charles Suggs to discuss how Cars.com adopted a server-driven UI (SDUI) architecture powered by Elixir and GraphQL to deliver consistent, updatable interfaces across web, iOS, and Android. We explore why SDUI matters for feature velocity, how a mature design system and schema planning make it feasible, and what it takes, culturally and technically, to move UI logic from client code into a unified backend. Key topics discussed in this episode: SDUI fundamentals and how it differs from traditional server-side rendering GraphQL as the single source of truth for UI components and layouts Defining abstract UI components on the server to eliminate duplicate logic Leveraging a robust design system as the foundation for SDUI success API-first development and cross-team coordination for schema changes Mock data strategies for early UI feedback without breaking clients Handling breaking changes and hot-fix deployments via server-side updates Enabling flexible layouts and A/B testing through server-controlled ordering Balancing server-driven vs. client-managed UI Iterative SDUI rollout versus “big-bang” migrations in large codebases Using type specs and Dialyxir for clear cross-team communication Integration testing at the GraphQL layer to catch UI regressions early Quality engineering’s role in validating server-driven interfaces Production rollback strategies across web and native platforms Considerations for greenfield projects adopting SDUI from day one Zack and Ethan's upcoming Instrumenting Elixir Apps book Links mentioned: https://cars.com https://github.com/absinthe-graphql/absinthe Telemetry & Observability for Elixir Apps Ep: https://youtu.be/1V2xEPqqCso https://www.phoenixframework.org/blog/phoenix-liveview-1.0-released https://hexdocs.pm/phoenix_live_view/assigns-eex.html https://graphql.org/ https://tailwindcss.com/ https://github.com/jeremyjh/dialyxir https://github.com/rrrene/credo GraphQL Schema https://graphql.org/learn/schema/ SwiftUI https://developer.apple.com/documentation/swiftui/ Kotlin https://kotlinlang.org/ https://medium.com/airbnb-engineering/a-deep-dive-into-airbnbs-server-driven-ui-system-842244c5f5 Zack’s Twitter: https://x.com/kayserzl/ Zack’s LinkedIn: https://www.linkedin.com/in/zack-kayser-93b96b88 Special Guest: Zack Kayser.…

Elixir Wizards

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Rustler: Bridging Elixir and Rust with Sonny Scroggin 48:58

10 weeks پیش48:58

48:58

Rustler Core Team Member Sonny Scroggin joins Elixir Wizards Sundi Myint and Charles Suggs. Rustler serves as a bridge to write Native Implemented Functions (NIFs) in Rust that can be called from Elixir code. This combo leverages Rust's performance and memory safety while maintaining Elixir's fault tolerance and concurrency model, creating a powerful solution for CPU-intensive operations within Elixir applications. Sonny provides guidance on when developers should consider using NIFs versus other approaches like ports or external services and highlights the considerations needed when stepping outside Elixir's standard execution model into native code. Looking toward the future, Sonny discusses exciting developments for Rustler, including an improved asynchronous NIF interface, API modernization efforts, and better tooling. While Rust offers tremendous performance benefits for specific use cases, Sonny emphasizes that Elixir's dynamic nature and the BEAM's capabilities for distributed systems remain unmatched for many applications. Rustler simply provides another powerful tool that expands what developers can accomplish within the Elixir ecosystem. Key topics discussed in this episode: Rust as a "high-level low-level language" with memory safety NIFs (Native Implemented Functions) in the BEAM virtual machine Rustler's role simplifying Rust-Elixir integration with macros CPU-intensive operations as primary NIF use cases Beam scheduler interaction considerations with native code Dirty schedulers for longer-running NIFs in OTP 20+ Memory safety advantages of Rust for NIFs Development workflow using Mix tasks for Rustler Common pitfalls when first working with Rust Error handling improvements possible with Rustler NIFs Differences between ports, NIFs, and external services Asynchronous programming approaches in Rust versus Elixir Tokyo runtime integration for asynchronous operations Static NIFs for mobile device compatibility Upcoming CLI tooling to simplify Rustler development Rustler's API modernization efforts for better ergonomics Thread pool sharing across multiple NIFs Wasm integration possibilities for the BEAM Compile-time safety versus dynamic runtime capabilities Performance considerations when implementing NIFs Compiler-assisted memory management in Rust Automatic encoding/decoding between Rust and Elixir types The importance of proper error handling Real-world application in high-traffic authentication servers Community resources for learning Rustler Links mentioned: https://github.com/rusterlium/rustler https://github.com/rust-lang/rust https://www.angelfire.lycos.com/ https://www.webdesignmuseum.org/flash-websites https://www.php.net/ https://xmpp.org/ https://jabberd2.org/ Geocities: https://cybercultural.com/p/geocities-1995/ (fun fact: when you search Geocities on Google, the results page is in Comic Sans font.) https://bleacherreport.com/ https://hexdocs.pm/jose/readme.html https://github.com/rust-lang/rust-bindgen Erlang Ports: https://www.erlang.org/doc/system/c_port.html Erlang ETFs (External Term Format): https://www.erlang.org/doc/apps/erts/erl_ext_dist.html Elixir gRPC https://github.com/elixir-grpc/grpc gRPC (“Remote Proceduce Call”): https://grpc.io/ dirty_cpu.ex https://github.com/E-xyza/zigler/blob/main/lib/zig/nif/dirty_cpu.ex ets https://www.erlang.org/doc/apps/stdlib/ets.html Mnesia https://www.erlang.org/doc/apps/mnesia/mnesia.html VPPs (Virtual Power Plants): https://www.energy.gov/lpo/virtual-power-plants https://nixos.org/ WASM WebAssembly with Elixir: https://github.com/RoyalIcing/Orb Rust Tokio https://tokio.rs/ Getting Started: https://hexdocs.pm/rustler/0.17.0/Mix.Tasks.Rustler.New.html https://rustup.rs/ Special Guest: Sonny Scroggin.…

Elixir Wizards

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Nx and Machine Learning in Elixir with Sean Moriarity 44:21

11 weeks پیش44:21

44:21

Today on Elixir Wizards, hosts Sundi Myint and Charles Suggs catch up with Sean Moriarity, co-creator of the Nx project and author of Machine Learning in Elixir. Sean reflects on his transition from the military to a civilian job building large language models (LLMs) for software. He explains how the Elixir ML landscape has evolved since the rise of ChatGPT, shifting from building native model implementations toward orchestrating best-in-class tools. We discuss the pragmatics of adding ML to Elixir apps: when to start with out-of-the-box LLMs vs. rolling your own, how to hook into Python-based libraries, and how to tap Elixir’s distributed computing for scalable workloads. Sean closes with advice for developers embarking on Elixir ML projects, from picking motivating use cases to experimenting with domain-specific languages for AI-driven workflows. Key topics discussed in this episode: The evolution of the Nx (Numerical Elixir) project and what's new with ML in Elixir Treating Elixir as an orchestration layer for external ML tools When to rely on off-the-shelf LLMs vs. custom models Strategies for integrating Elixir with Python-based ML libraries Leveraging Elixir’s distributed computing strengths for ML tasks Starting ML projects with existing data considerations Synthetic data generation using large language models Exploring DSLs to streamline AI-powered business logic Balancing custom frameworks and service-based approaches in production Pragmatic advice for getting started with ML in Elixir Links mentioned: https://hexdocs.pm/nx/intro-to-nx.html https://pragprog.com/titles/smelixir/machine-learning-in-elixir/ https://magic.dev/ https://smartlogic.io/podcast/elixir-wizards/s10-e10-sean-moriarity-machine-learning-elixir/ Pragmatic Bookshelf: https://pragprog.com/ ONNX Runtime Bindings for Elixir: https://github.com/elixir-nx/ortex https://github.com/elixir-nx/bumblebee Silero Voice Activity Detector: https://github.com/snakers4/silero-vad Paulo Valente Graph Splitting Article: https://dockyard.com/blog/2024/11/06/2024/nx-sharding-update-part-1 Thomas Millar's Twitter https://x.com/thmsmlr https://github.com/thmsmlr/instructor_ex https://phoenix.new/ https://tidewave.ai/ https://en.wikipedia.org/wiki/BERT_(language_model) Talk: PyTorch: Fast Differentiable Dynamic Graphs in Python by Soumith Chintala https://hexdocs.pm/axon/Axon.html https://hexdocs.pm/exla/EXLA.html VLM (Vision Language Models Explained): https://huggingface.co/blog/vlms https://github.com/ggml-org/llama.cpp Vector Search in Elixir: https://github.com/elixir-nx/hnswlib https://www.amplified.ai/ Llama 4 https://mistral.ai/ Mistral Open-Source LLMs: https://mistral.ai/ https://github.com/openai/whisper Elixir Wizards Season 5: Adopting Elixir https://smartlogic.io/podcast/elixir-wizards/season-five https://docs.ray.io/en/latest/ray-overview/index.html https://hexdocs.pm/flame/FLAME.html https://firecracker-microvm.github.io/ https://fly.io/ https://kubernetes.io/ WireGuard VPNs https://www.wireguard.com/ https://hexdocs.pm/phoenixpubsub/Phoenix.PubSub.html https://www.manning.com/books/deep-learning-with-python Code BEAM 2025 Keynote: Designing LLM Native Systems - Sean Moriarity Ash Framework https://ash-hq.org/ Sean’s Twitter: https://x.com/seanmoriarity Sean’s Personal Blog: https://seanmoriarity.com/ Erlang Ecosystems Foundation Slack: https://erlef.org/slack-invite/erlef Elixir Forum https://elixirforum.com/ Sean’s LinkedIn: https://www.linkedin.com/in/sean-m-ba231a149/ Special Guest: Sean Moriarity.…

Elixir Wizards

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LangChain: LLM Integration for Elixir Apps with Mark Ericksen 38:18

12 weeks پیش38:18

38:18

Mark Ericksen, creator of the Elixir LangChain framework, joins the Elixir Wizards to talk about LLM integration in Elixir apps. He explains how LangChain abstracts away the quirks of different AI providers (OpenAI, Anthropic’s Claude, Google’s Gemini) so you can work with any LLM in one more consistent API. We dig into core features like conversation chaining, tool execution, automatic retries, and production-grade fallback strategies. Mark shares his experiences maintaining LangChain in a fast-moving AI world: how it shields developers from API drift, manages token budgets, and handles rate limits and outages. He also reveals testing tactics for non-deterministic AI outputs, configuration tips for custom authentication, and the highlights of the new v0.4 release, including “content parts” support for thinking-style models. Key topics discussed in this episode: • Abstracting LLM APIs behind a unified Elixir interface • Building and managing conversation chains across multiple models • Exposing application functionality to LLMs through tool integrations • Automatic retries and fallback chains for production resilience • Supporting a variety of LLM providers • Tracking and optimizing token usage for cost control • Configuring API keys, authentication, and provider-specific settings • Handling rate limits and service outages with degradation • Processing multimodal inputs (text, images) in Langchain workflows • Extracting structured data from unstructured LLM responses • Leveraging “content parts” in v0.4 for advanced thinking-model support • Debugging LLM interactions using verbose logging and telemetry • Kickstarting experiments in LiveBook notebooks and demos • Comparing Elixir LangChain to the original Python implementation • Crafting human-in-the-loop workflows for interactive AI features • Integrating Langchain with the Ash framework for chat-driven interfaces • Contributing to open-source LLM adapters and staying ahead of API changes • Building fallback chains (e.g., OpenAI → Azure) for seamless continuity • Embedding business logic decisions directly into AI-powered tools • Summarization techniques for token efficiency in ongoing conversations • Batch processing tactics to leverage lower-cost API rate tiers • Real-world lessons on maintaining uptime amid LLM service disruptions Links mentioned: https://rubyonrails.org/ https://fly.io/ https://zionnationalpark.com/ https://podcast.thinkingelixir.com/ https://github.com/brainlid/langchain https://openai.com/ https://claude.ai/ https://gemini.google.com/ https://www.anthropic.com/ Vertex AI Studio https://cloud.google.com/generative-ai-studio https://www.perplexity.ai/ https://azure.microsoft.com/ https://hexdocs.pm/ecto/Ecto.html https://oban.pro/ Chris McCord’s ElixirConf EU 2025 Talk https://www.youtube.com/watch?v=ojL_VHc4gLk Getting started: https://hexdocs.pm/langchain/getting_started.html https://ash-hq.org/ https://hex.pm/packages/langchain https://hexdocs.pm/igniter/readme.html https://www.youtube.com/watch?v=WM9iQlQSF_g @brainlid on Twitter and BlueSky Special Guest: Mark Ericksen.…

Elixir Wizards

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Blue Heron: Bluetooth Low Energy (BLE) for Elixir & Nerves with Connor Rigby 46:16

13 weeks پیش46:16

46:16

Connor Rigby joins the Elixir Wizards to talk about Blue Heron BLE (Bluetooth Low Energy) support for Elixir apps. Blue Heron implements the BLE specs in pure Elixir, leveraging binary pattern matching and concurrent message processing to handle Bluetooth protocols. Unlike most solutions that require C ports or NIFs, Blue Heron runs entirely in user space, so it works seamlessly in both Nerves-based embedded projects and (eventually) desktop Elixir applications. We discuss how Nerves development differs from building Phoenix apps. Connor shares challenges he's experienced with hardware compatibility, where some chips only partially implement the spec, and he discusses the surprisingly deep (but sometimes incomplete) world of BLE device profiles. His tip for anyone entering the BLE space: read the official spec instead of trusting secondhand blog posts. Tools like Nerves LiveBook give you hands-on examples, so you can get a BLE prototype running on a Raspberry Pi and your phone in no time. Key topics discussed in this episode: Blue Heron origins and “bird” naming convention BLE vs. Bluetooth Classic: core differences Pure Elixir implementation—no C dependencies Binary pattern matching for packet parsing Hardware transport options: UART, SPI, USB, SDIO GenServer patterns in Nerves vs. Phoenix Linux requirement and power-consumption trade-offs GATT (Generic Attribute Table) implementation patterns SQLite integration for Nerves apps Hardware chip quirks and spec compliance Manufacturer-specific commands and workarounds BLE device profiles and spec gaps Security Management Profile (SMP) for encryption Device connection and pairing workflows Web vs. embedded development differences Where to get started: hardware recommendations and docs Links mentioned: https://github.com/ConnorRigby/ https://github.com/blue-heron/ https://nerves-project.org/ BLE (Bluetooth Low Energy) https://en.wikipedia.org/wiki/Bluetooth_Low_Energy https://developer.apple.com/ibeacon/ https://learnyousomeerlang.com/building-otp-applications Linux https://www.linux.org/ HCI (Host Controller Interface) https://en.wikipedia.org/wiki/Host_controller_interface Circuits UART Library https://hexdocs.pm/circuits_uart/readme.html SPI (Serial Peripheral Interface) https://github.com/elixir-circuits/circuits_spi SDIO (Secure Digital Input Output https://en.wikipedia.org/wiki/SDIO Raspberry Pi https://www.raspberrypi.com/ Coral SoM Dev Board https://coral.ai/products/dev-board/ BeagleBone Single-Board Linux Computer https://www.beagleboard.org/boards/beaglebone-black https://www.bluetooth.com/bluetooth-resources/intro-to-bluetooth-gap-gatt/ Genservers https://hexdocs.pm/elixir/1.12/GenServer.html https://hexdocs.pm/ecto/Ecto.html https://github.com/elixir-sqlite/ecto_sqlite3 https://github.com/nerves-livebook/nerves_livebook Special Guest: Connor Rigby.…

Elixir Wizards

1
Zigler: Zig NIFs for Elixir with Isaac Yonemoto 43:00

14 weeks پیش43:00

43:00

In the Season 14 premiere, hosts Dan Ivovich and Sundi Myint chat with Isaac Yonemoto, creator of the Zigler library, to explore how Zigler brings Zig’s performance and safety to Elixir through Native Implemented Functions (NIFs). Isaac walks through the core design of Zigler and how it auto-generates the Elixir-to-Zig bridge, enforces type safety, and exposes multiple execution modes (normal, dirty, threaded). The conversation covers real-world applications, from SIMD-powered token selection for LLM hardware acceleration to OTP-style fault tolerance in low-level code. Isaac shares his own journey: stepping back from professional software work to launch a biotech startup focused on reducing drug manufacturing costs while continuing to maintain Zigler and even leveraging Elixir for bioinformatics pipelines. Topics discussed in this episode: What is the Zigler library and what does it do? What does it mean to run a "dirty NIF"? Async mode is temporarily removed from Zig (therefore, yielding NIFs is temporarily deprecated in Zigler) Zigler’s three execution modes (normal, dirty, and threaded) and how you switch modes with a single config change Isaac’s journey from professional software work to launching a biotech startup How Isaac leverages Elixir in bioinformatics pipelines at his startup LLM hardware acceleration using Zigler NIFs and SIMD-powered token picking Fault-tolerant load balancing of NIF workloads via OTP principles Transparent handling and recovery from hardware failures through monitoring Potential future memory-safety features in Zig and their implications The Elixir-based borrow-checker prototype: purpose and design Unit-checking for scientific computations to enforce correctness New OS support in Zigler 0.14: macOS, Windows, and FreeBSD Inline Zig code authoring directly within Elixir modules Isaac's commitment to maintain Zigler through its 1.0 release (...and beyond?) Links mentioned: https://github.com/E-xyza/zigler https://github.com/ziglang/zig https://vidalalabs.com/ Zig Programming Language: https://ziglang.org/ https://obsidian.md/ https://hexdocs.pm/elixir/macros.html https://erlang.org/documentation/doc-4.7.3/doc/extensions/macros.html A Deep Dive Into the Elixir AST: https://dorgan.ar/posts/2021/04/the_elixir_ast/ https://www.erlang.org/doc/system/nif.html https://nodejs.org/en Llama Open-Source LLM: https://www.llama.com/ Mixtral Open-Source LLM: https://mistral.ai/news/mixtral-of-experts https://Fly.io SIMD: https://en.wikipedia.org/wiki/Single_instruction,_multiple_data https://opentrons.com/ CI/CD: https://en.wikipedia.org/wiki/CI/CD https://hexdocs.pm/zigler/Zig.html http://www.x.com/DNAutics https://bsky.app/profile/dnautics.bsky.social…

Elixir Wizards

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Building an Open Vehicle Control System using Elixir and Nerves with Marc, Thibault, and Loïc 54:19

36 weeks پیش54:19

54:19

For the Season 13 finale, Elixir Wizards Dan and Charles are joined by Spin42 Engineers Marc Lainez, Thibault Poncelet, and Loïc Vigneron to discuss their work retrofitting a 2007 VW Polo and creating an Open Vehicle Control System (OVCS). Using Elixir, Nerves, and Raspberry Pis, the team is reimagining vehicle technology to extend the lifespan of older cars and reduce waste—all while making the process approachable and open source. The Spin42 team shares the technical details behind OVCS and how they use Elixir and Nerves to interact with the CAN bus and build a Vehicle Management System (VMS) to coordinate various vehicle components. They dive into the challenges of reverse engineering CAN messages, designing a distributed architecture with Elixir processes, and ensuring safety with fail-safe modes and emergency shutoffs. Beyond the technical, the team discusses their motivation for the project—upgrading older vehicles with modern features to keep them on the road, building an open-source platform to share their findings with others, and above all-- to just have fun. They explore potential applications for OVCS in boats, construction equipment, and other vehicles, while reflecting on the hurdles of certifying the system for road use. If you’ve ever wondered how Elixir and Nerves can drive innovation beyond software, this episode is packed with insights into automotive computing, hardware development, and the collaborative potential of open-source projects. Topics Discussed in this Episode: Retrofitting a 2007 VW Polo with electric engines and modern tech Building an open-source Vehicle Control System (OVCS) using Elixir and Nerves Leveraging Elixir to interact with the CAN bus and parse proprietary messages Designing a Vehicle Management System (VMS) to coordinate vehicle components Developing custom hardware for CAN communication Creating a YAML-based DSL for CAN message and frame descriptions Building a distributed architecture using Elixir processes Ensuring safety with fail-safe modes and emergency shutoffs Using Flutter and Nerves to build a custom infotainment system Exploring autonomous driving features with a ROS2 bridge Developing remote control functionality with a Mavlink transmitter Testing OVCS features at scale with a Traxxas RC car (OVCS Mini) Challenges of certifying OVCS for road use and meeting regulatory requirements Encouraging community contributions to expand OVCS functionality Balancing open-source projects with contract work to sustain development The fun and fulfillment of experimenting with Elixir beyond traditional applications Links mentioned: https://www.spin42.com/ https://nerves-project.org/ Quadcopter https://github.com/Spin42/elicopter https://github.com/linux-can/can-utils https://docs.kernel.org/networking/can.html https://github.com/open-vehicle-control-system/cantastic https://github.com/commaai/opendbc https://en.wikipedia.org/wiki/CAN_bus#CAN_FD https://comma.ai/ https://en.wikipedia.org/wiki/CAN_FD https://webkit.org/wpe/ https://docs.nvidia.com/jetson/archives/r35.4.1/DeveloperGuide/text/SD/WindowingSystems/WestonWayland.html https://buildroot.org/ https://vuejs.org/ https://flutter.dev/ https://github.com/smartrent/elixir_flutter_embedder https://www.raspberrypi.com/products/raspberry-pi-5/ The Rabbit Pickup https://www.hemmings.com/stories/value-guide-1980-83-volkswagen-pickup https://www.expresslrs.org/software/mavlink https://industrial-training-master.readthedocs.io/en/melodic/_source/session7/ROS1-ROS2-bridge.html https://github.com/ros2/rcl https://github.com/open-vehicle-control-system/traxxas Contact Marc, Thibault, and Loïc: info@spin42.com Special Guests: Loïc Vigneron, Marc Lainez, and Thibault Poncelet.…

Elixir Wizards

1
Creating Horizon: Deploy Elixir Phoenix Apps on FreeBSD with Jim Freeze 44:48

37 weeks پیش44:48

44:48

The Elixir Wizards welcome Jim Freeze, organizer of ElixirConf and creator of the Horizon library. Jim shares his journey from organizing Ruby conferences to founding and growing ElixirConf into the community cornerstone it is today. He reflects on the challenges of running a major conference, how COVID-19 shaped the event, and why the talks remain an evergreen resource for the Elixir ecosystem. We discuss Horizon, Jim’s deployment library for Elixir and Phoenix applications with Postgres on FreeBSD. Driven by a need for simplicity and cost-effectiveness, Jim explains how Horizon minimizes external dependencies while delivering fault-tolerant and streamlined setups. He compares it to tools like Fly, Terraform, and Ansible, highlighting its low cognitive load and flexibility—key benefits for developers seeking more control over their deployment environments. Jim also unpacks the broader value of understanding and customizing your deployment stack rather than relying solely on managed services. He discusses the benefits of using FreeBSD, including its stability, security, and performance advantages, as well as its robust ZFS file system. Jim emphasizes the importance of coherent deployment workflows, community collaboration, and contributions to open-source projects like Horizon. He invites listeners to explore Horizon, share feedback, and own their deployments. Topics discussed in this episode: Jim Freeze’s background organizing RubyConf and founding ElixirConf Reducing reliance on managed services and external dependencies Simplifying deployments with minimal tools and lower cognitive overhead The trade-offs of cutting-edge tools vs. stable, well-documented solutions The importance of customizing deployment tools to meet specific needs Addressing challenges with Tailwind compatibility Streamlining the FreeBSD installation process for Horizon users Community collaboration: contributing to open-source tools Jim’s vision for Horizon: PKI support, hot standby features, and serverless potential Links mentioned Nine Minutes of Elixir https://www.youtube.com/@ElixirConf https://github.com/liveview-native https://github.com/elixir-nx/nx https://2024.elixirconf.com/ https://github.com/jfreeze/horizon https://hexdocs.pm/horizon/deploying-with-horizon.html#web-cluster-topology https://kamal-deploy.org/ https://fly.io/ https://aws.amazon.com/console/ https://www.digitalocean.com/ https://cloud.google.com/ https://www.cloudflare.com/ https://www.hetzner.com/ https://www.proxmox.com/en/ https://nginx.org/ https://github.com/openzfs/zfs Zettabyte File System https://en.wikipedia.org/wiki/ZFS https://www.postgresql.org/ https://www.terraform.io/ https://www.ansible.com/ https://docs.freebsd.org/ https://www.redhat.com/ https://ubuntu.com/ https://esbuild.github.io/ Listener's Survey: https://smr.tl/EWS13 Special Guest: Jim Freeze.…

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