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emgeee | 10 months ago

This is a pretty cool idea but I'm trying to think of the advantage of WASM vs other execution engines.

It seems to me one of the main use-cases for WASM is to execute lambdas, which are often short-lived (like 500ms timeout limits). Maybe this could have a place in embedded systems?

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tomasol|10 months ago

The biggest motivator for me is that WASM sandbox provides true deterministic execution. Contrary to engines like temporal, using hashmaps is 100% deterministic here. Attempting to spawn a thread is a compile error. It also performs well - the bottleneck is in the write throughput of sqlite. Last but not least - all the interfaces between workflows and activities are type safe, described in a WIT schema.

AlotOfReading|10 months ago

WASM isn't quite deterministic. An easy example is NaN propagation, which can be nondeterministic in certain circumstances. Obelisk itself seems to allow nondeterminism via the sleep() function. Just create a race condition among a join set. I imagine that might even get easier once the TODO to implement sleep jitter is completed.

It's certainly close enough that calling it deterministic isn't misleading (though I'd stop short of "true determinism"), but there's still sharp edges here with things like hashmaps (e.g. by recompiling: https://dev.to/gnunicorn/hunting-down-a-non-determinism-bug-...).

jcmfernandes|10 months ago

Somewhat similar to Golem - https://github.com/golemcloud/golem - correct?

So, I like this idea, I really do. At the same time, in the short-term, WASM is relatively messy and, in my opinion, immature (as an ecosystem) for prime time. But with that out of the way (it will eventually come), you'll have to tell people that they can't use any code that relies on threads, so they better know if any of the libraries they use does it. How do you foresee navigating this? Runtime errors suck, especially in this context, as fixing them requires either live patching code or migrating execution logs to new code versions.