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Ruby on Rails contractor Ruby, Vuejs, SCSS Nerd

Funding Links: https://github.com/sponsors/eclectic-coding

Chuck · North Carolina · @eclectic-coding · 233 followers · 82 stars · 747 repositories · joined November 2022

GitHub Sponsors Profile

Hey, I'm Chuck 👋
I'm an open-source Rails developer focused on the infrastructure layer — the parts of your app that keep production healthy and observable.
My current project is solid_stack_web — a mountable Rails engine that gives you a full operational dashboard for the entire Solid Stack (Solid Queue, Solid Cache, and Solid Cable) in one place. Drop it into any Rails 8+ app and get immediate visibility into your queues, cache, and cable channels without standing up a separate service or writing a single line of monitoring code.
Why this exists
Rails ships Solid Queue, Solid Cache, and Solid Cable as first-class defaults — but no official dashboard ties them together. Teams end up writing their own admin pages, paying for third-party APM tools to fill the gap, or flying blind in production.
solid_stack_web fixes that. One gem, one mount point, full coverage.
How sponsorship helps
solid_stack_web is built entirely in my own time. Sponsorship lets me dedicate more of it here — more features shipped faster, issues triaged sooner, and the confidence to commit to a stable v1.0 API.
Other projects I am working on:

solid_queue_web - A monitoring and management dashboard for Solid Queue, mountable as a Rails engine in any app, a lighter version of solid_stack_web with only support for Solid Queue.
safe_memoize - Thread-safe memoization for Ruby that correctly handles nil and false values. SafeMemoize is a production-ready, zero-dependency memoization library for Ruby. It wraps methods with a prepend-based cache that handles everything the standard ||= idiom gets wrong: nil and false return values are cached correctly, per-argument result maps eliminate redundant computation for parameterized methods, and a per-instance Mutex with double-check locking makes the whole thing safe under concurrent load.

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