We are told that to scale Ruby background workloads across multiple CPU cores, we have two choices: process forking (e.g., Pitchfork) which incurs massive Copy-on-Write memory overhead and risk of OOM kills under load, or database-backed queues (e.g., Solid Queue) which introduce heavy synchronous disk I/O and row-locking bottlenecks [1.8, 1.10].

To break this cycle, I built SolidJobs (v0.5.0): an open-source, Ractor-local Redis task runtime engineered from scratch around a strict shared-nothing architecture [1.8].

The Architecture: Warm IPC Pool over Unix Sockets

Instead of forcing workers to share mutable application states, SolidJobs completely isolates concurrency multiplexing at the OS kernel level [1.8, 1.10].

• Local Unix Sockets (0o600): Communication transport overhead is compressed to ~40 µs [1.8]. The Linux kernel handles the backlog natively [1.8].

• solid-resp-ractor: A zero-dependency, RESP3-compliant stream encoder/decoder designed to be deeply frozen (Ractor.make_shareable).…