Retrospective: lessons from building a reactive rules engine in Elixir

If this helped you, you can support the author with a coffee on dev.to . Retrospective: lessons from building a reactive rules engine in Elixir Part 12 of 12 — This post closes the arc that started with why the BEAM fits reactive rules and ends with how we measure them under load. Part 11 on dev.to — Dev profiling: CPU, memory, and what changed after optimizations · repo draft was about profilers and reproducible workloads; here I zoom out: integrations that paid off , costs we accepted , and what I would try next if I were green-fielding tomorrow. This is not a substitute for the earlier technical posts—treat it as a map and a checklist for your own PON-style systems. Each part now ends with a References and further reading section; the consolidated list lives in Bibliography on dev.to — PON + Smart Brewery series (EN drafts) · repo draft . What the twelve parts built Stretch Idea 1–2 Notifications as the organizing principle; Facts , Rules , and Premises as OTP processes and Registry