core VS golang-samples

An alternative is metacall. The example in the readme is about calling Python from Javascript, but it also works with other languages, like Ruby, C#, Java, and other languages

https://github.com/metacall/core

List of supported languages here https://github.com/metacall/core/blob/develop/docs/README.md...

In the future, maybe webidl (or extensions of it) will bring interoperability between languages too. At the moment there is https://mozilla.github.io/uniffi-rs/ for interoperability between Rust and a number of languages (basically the ones mozilla needs: Swift, Kotlin, Javascript)

Hi, I am writing a Polyglot Runtime called MetaCall, it provides interoperability between many different languages: https://github.com/metacall/core

MetaCall is an extensible, embeddable and interoperable cross-platform polyglot runtime. It supports NodeJS, Vanilla JavaScript, TypeScript, Python, Ruby, C#, Java, WASM, Go, C, C++, Rust, D, Cobol.

I started looking for past selected organizations in February, found an organization named Metacall, which made polyglot programming easy. I made some contributions there. I looked into their past projects and tried to understand how the code base worked. The tech stack was mainly Python, C++, Rust, Nodejs, Docker. I knew very little about these.

MetaCall helps you build serverless applications using a more fine-grained, scalable and NoOps oriented Function Mesh instead of ServiceMesh and DevOps approach. It automagically converts your code into a Function Mesh and auto-scales individual hot parts or functions of your app.

We are building a Polyglot Runtime and we are adding support for Rust, if you are interested you can participate on it: https://github.com/metacall/core

MetaCall Polyglot Runtime MetaCall.io | Install | Docs

I try to avoid any complicated tool and simplify my life with NoOps tools. Using Kubernetes or AWS from scratch is probably going to kill your startup.

In my case, I have tried MetaCall: https://metacall.io

You can find an example of the function code for analyzing the data store on Google Cloud’s Github.

Choose a platform like App Engine. It's auto-scaling. Supports bigtable. And opentelemetry. Manageable from anywhere via Cloud Shell. You can run multiple instances and partition load between them. Even includes a free tier ;)

https://github.com/GoogleCloudPlatform/golang-samples

# Source: https://github.com/GoogleCloudPlatform/golang-samples/blob/master/run/helloworld/Dockerfile FROM golang:1.16-buster as builder # Create and change to the app directory. WORKDIR /app # Retrieve application dependencies. # This allows the container build to reuse cached dependencies. # Expecting to copy go.mod and if present go.sum. COPY go.* ./ RUN go mod download # Copy local code to the container image. COPY . ./ # Build the binary. RUN go build -mod=readonly -v -o server # Use the official Debian slim image for a lean production container. # https://hub.docker.com/_/debian # https://docs.docker.com/develop/develop-images/multistage-build/#use-multi-stage-builds FROM debian:buster-slim RUN set -x && apt-get update && DEBIAN_FRONTEND=noninteractive apt-get install -y \ ca-certificates && \ rm -rf /var/lib/apt/lists/* # Copy the binary to the production image from the builder stage. COPY --from=builder /app/server /app/server # Run the web service on container startup. CMD ["/app/server"]