Carter VS OpenWhisk

Para saber mais: Carter Github

And what about Carter for minimal APIs?

Nancy became Carter https://github.com/CarterCommunity/Carter

The results for Carter were a surprise for me as well and I even reported that: https://github.com/CarterCommunity/Carter/issues/315

Check out Carter if you're a Nancy fan =)

As a good example on how to build over base asp.net core there's project Carter who provides a nice module experience.

I would recommend Carter. I just started playing with it and It’s been delightful so far. https://github.com/CarterCommunity/Carter

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.