Serverless functions are now offered by many cloud providers, as well as having options like OpenFaaS, Knative, Apache's Openwhisk and more from the open source community that run in environments ranging from one server all the way up to globally replicated private clusters. - Source: dev.to / about 1 year ago

The serverless functions with Digital Ocean are based on Apache Open Whisk, so the service has additional name space, which need to go into the URL. - Source: dev.to / over 2 years ago

The two biggest options are OpenWhisk and OpenFaas. Check out /r/serverless for more options. I'm experimenting currently with OpenFaas as it's the lighter weigh to of the two. Source: over 2 years ago

If you meant lambda for cloud functions provided by Amazon then this is open source and free, as long as you host it yourself: https://openwhisk.apache.org/. Source: over 2 years ago

Not necessarily an orchestrator, but you could take a look at https://openwhisk.apache.org/ it's like AWS Lambdas but for kubernetes (and open shift if you swing that way). Haven't used it personally, but the reading I've done on it suggests you could probably use it for this. Source: about 3 years ago

I'll give a shot at some guiding principals: 1. Do not use yaml. All github action logic should be written in a language that compiles to yaml, for example dhall (https://dhall-lang.org/). Yaml is an awful language for programmers, and it's a worse language for non-programmers. It's good for no one. 2. To the greatest extent possible, do not use any actions which install things. For example, don't use... - Source: Hacker News / 26 days ago

I'm a fan of anything that moves us away from stringly typed nonsense. See also Dhall (which can render to yaml). I like the idea but found the veneer broke a little too often and left me squinting at Haskell. https://dhall-lang.org/. - Source: Hacker News / about 2 months ago

I think you're asking for Starlark (https://starlark-lang.org), a language that strongly resembles Python but isn't Turing-complete, originally designed at Google for use in their build system. There's also Dhall (https://dhall-lang.org), which targets configuration use cases; I'm less familiar with it. One problem is that, while non-Turing-completeness can be helpful for maintainability, it's not really... - Source: Hacker News / 4 months ago

> Lambda calculus is as pure as can be, and also has terms that don't normalize. That is not considered a side effect. Many typed lambda calculi do normalise. You can also have a look https://dhall-lang.org/ for some pragmatic that normalises. > A better example of impurity in Haskell for pragmatic's sake is the trace function, that can be used to print debugging information from pure functions. Well, but that's... - Source: Hacker News / 5 months ago

I was first turned onto Pkl during my Dhall Trough of Disillusionment phase (Dhall is cool, but man is it hard) by James Ward. It looked to be a language that had enough types to compile YAML/JSON configuration files wayyyy more safely. I’ve had enough YAML/JSON misconfigurations break production, that I started looking into ways to compile those problems away, and Dhall helped a lot, but the learning curve and... - Source: dev.to / 6 months ago