holy-lambda VS truffleruby

This is easily accessible via https://github.com/FieryCod/holy-lambda

https://github.com/FieryCod/holy-lambda + free tier may fit your needs. Also support for babashka or scittle in lambdas. Many options. Looks like every provider has caught up to the cloud function space, so aws, azure, digital ocean, maybe even linode. Maybe shop around.

Check https://github.com/FieryCod/holy-lambda. It supports Clojure, babashka and native.

I'm running Clojure code compiled with GraalVM native for AWS Lambda. Cold start times are low and performance is decent enough, even with CE edition. The whole process is reasonably painless through the use of Holy Lambda https://github.com/FieryCod/holy-lambda

Not quite what you were asking for, but I wanted to chip in as another happy Clojure + GraalVM native user.

This is why holy-lambda-ring-adapter was released. An adapter is a part of holy-lambda project and is already used in production. The adapter supports all the holy-lambda custom backends:

During the weekend I was experimenting with AWS Polly (which is a text-to-speech AWS service) and Babashka in order to demonstrate usage of holy-lambda (a micro framework for running Clojure on the AWS Lambda).

It's my first post here announcing holy-lambda https://github.com/FieryCod/holy-lambda. I've resisted posting it for almost two years since it was far from being production-ready software. On the other hand, today, holy-lambda reached version 0.1.45 with some great features and fixes included. It's high time to show this project publicly.

I think it would be worth mentioning GraalVM and https://github.com/oracle/truffleruby in competitors section.

GitHub page has some info: https://github.com/oracle/truffleruby#current-status

My question is, how viable is TruffleRuby vs JRuby?

I wonder why GraalVM is not more often used for these speed critical cases: https://www.graalvm.org/python/

Is the problem the Oracle involvement? (Same for ruby https://www.graalvm.org/ruby/)

Looks like it’s still a WIP

https://github.com/oracle/truffleruby/commits?author=eregon

this comes at the cost of boxing ints inside Integer, though.

So, if you ignore for a moment primitives types, whenever you have generics, everything boils down to a single method accepting Objects and returning Objects. What the JVM does is to do runtime profiling of what actually you are passing to the generic method, and generate optimized routines for the "best case". In theory this is the best of the two worlds, because like in general you will have a single implementation of the method (avoiding duplication of the code), but if you use it in an hot spot you get the optimized code.

In a way, it is quite wasteful, because you throw away a lot of information at compile time, just to get it back (and maybe not all of it) at runtime through profiling, but in practice it works quite well.

A side effect of this is this makes the JVM a wonderful VM for running dynamic languages like Ruby and Python, because that information is _not_ there at compile time. In particular GraalVM/TruffleVM and exposes this functionality to dynamic language implementations, allowing very good performance (according to they website [1][2], Ruby and Python on TruffleVM are about 8x faster than the official implementation, and JS in line with V8)

[1] https://www.graalvm.org/ruby/

I opened a ticket some time ago about performance with Jekyll and liquid templates. At least in that case, yjit was way faster. I'm happy to retest though. Anything that would make my jekyll builds faster would help.

https://github.com/oracle/truffleruby/issues/2363

Here's a benchmark [1] done in Jan'22 against many ruby implementations, truffleRuby [2] seems to be way ahead in most, and at least ahead in all. Why truffleRuby isn't talk about much here?

[1] https://eregon.me/blog/2022/01/06/benchmarking-cruby-mjit-yj...

[2] https://github.com/oracle/truffleruby