[aidanhs]

The company I work at (Hadean) used to have this as a product - think erlang-like multi machine IPC, with automatic acquisition of cloud resources and language integration for Rust, C, C++, Python. Pretty easy to point it at some machines and get them running a distributed application (as in simulation or big data).

But infrastructure for developers is hard to make money with - developers like to build it themselves and people holding the purse strings point at kubernetes and say "that's free". So we just use it as an internal platform for a distributed simulation engine and it works pretty well.

I did an analysis of removing it (it's a lot of bespoke code that we have to maintain for something that isn't our actual product) and I think you could probably implement something on top of Nomad that's close enough...but then Nomad went BSL and Kubernetes is a big complexity shift.

So...if anyone knows of something out there let me know, I'd love to be able to use it outside of work :)

[jmakov]

ray.io seems to be doing pretty well financially...

[aidanhs]

Right, because Anyscale found a niche that distributed compute matters in (AI) and built great libraries/hosted platforms/services around that. I would venture that the money they make from people who pare back things to just ray core is ~0, which is why it's open source.

Put another way - building such a platform doesn't preclude commercial success, but (at least for us) it isn't sufficient. Fly.io might be able to pull it off if they want to explore that direction imo.

Fwiw if you dig around in the ray core codebase (as I did when I was doing competitor analysis years ago) you can use the core C code from other languages to build such a platform for Rust if you like - they had Java and C++ interfaces at the time, but I haven't looked in the last 5 years.