ncc VS devspace

During my search for deploying Lambdas via GitHub actions, I came across a tutorial that utilized ncc for converting TypeScript and bundling. While ncc is effective, I discovered esbuild, which proved to be significantly faster and perfectly suited to my requirements.

You could use ncc to compile a binary:

https://github.com/vercel/ncc

This appears to be caused by lazy loading of image layer data, particularly during container initialization, and latency introduced by the read operations. In general, you want to access as few files and as little data as possible during the initialization of your functions. For example, we've seen improvement when using ncc to bundle Node.js applications.

What we do however, is bundle all these dependencies, and our own code into a single JS file using the nifty ncc tool (thanks Vercel!)

Vercel's ncc compiler

The most unclear and confusing part is packing the code using ncc. The necessity of this step is caused by GitHub’s approach to running your Action.

I filed an issue for the ncc bundler regarding a similar behavior

This may be slightly tangential but I recently discovered ncc[1] from vercel which can take a single node project and compile it and all dependencies to a single file.

As an added benefit it also collapses all contained dependencies license files into a single licenses.txt file too!

- [1] https://github.com/vercel/ncc

The current process of building a package locally is by running through a gulp task, using ttypescript to compile the TS and @vercel/ncc to build the binary:

Check also devspace.sh and okteto.com

There is actually a built-in converter from docker-compose.yaml to devspace.yaml, it is part of the "devspace init" command. There are a few known issues related to it, in case you would like to contribute :)

Wrapping https://devspace.sh in my company's internal CLI to improve development experience

For Kubernetes clusters, https://devspace.sh/ allows you to iterate on your app in a running pod from your IDE. No ci/cd pipeline, no re-applying manifests; it just uploads source code from your local machine and restarts your app for you in an existing pod. Pretty slick!!! But it requires K8s, so some devs may balk at it. (Tilt and Skaffold do the same thing)

We’re excited to announce that DevSpace version 6 has been released. Thanks to everyone who used the alpha and beta versions and gave us feedback.

DevSpace is free, lets you develop natively in the cloud on any K8s cluster. Compatible with any multitenancy solution, policy governance, etc. Works with your IDE of choice. Declarative configuration. Supports custom pipelines and deploy logic. Can link multiple environments together. https://devspace.sh/

My favourite tool in this category is Devspace. As you've requested it is capable of building and deploying multiple images.