Finagle VS OpenWhisk

Not sure about now but a few years back the company I worked for was heavily vested in Finagle [1] using Future pools. I'm sure virtual threads would only enhance this framework. Also, Spring and it's reactive webflux would probably benefit as well [2].

[1] https://twitter.github.io/finagle/

[2] https://docs.spring.io/spring-framework/reference/web/webflu...

Don't really see how "enterprise scala" has anything to do with this, scala is meant to be parallelized , that's like it's whole thing with akka / actors / twitter's finagle (https://twitter.github.io/finagle/)

So biased. Twitter dropping Scala3 is simply untrue, ticket is there and still is open https://github.com/twitter/finagle/issues/932

Thank you. I only took a quick look, but this looks like a goldmine of info if you are interested in using bazel to build a scala monorepo: https://github.com/twitter/finagle

Finagle

And the engineering team are far from imbeciles because they built one of the worlds' best cache and RPC microservice components. As well as the fact that up until Musk took over the website was running just fine (other than your issue with product decisions).

Bro it's their fucking project lolhttps://twitter.github.io/finagle/

RPC generally means server side calls, probably this https://twitter.github.io/finagle/, and XHR is not RPC.

not familiar with twitter internals but it would be atypical to use gql for internal communications even if you expose it as a public api. twitter also develops a widely-used RPC system https://github.com/twitter/finagle

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.

OpenWhisk - https://openwhisk.apache.org

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.

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.

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/

There are so many of them in big data, e.g. Kafka, Spark, Flink, Delta, Snowplow, Finagle, Deequ, CMAK, OpenWhisk, Snowflake, TheHive, TVM-VTA, etc.

The foundation is Apache OpenWhisk https://github.com/apache/openwhisk with DO specific customization to work with managed databased, log shipping, and other DO specific capabilities. The closest programming model is AWS Lambda in terms of the semantics and execution model.