devbox VS distroless

Before I went on my Christmas vacation last year I wrote an article on how I use Nix in my Elm projects. At the time, I was pleased with my set up. However, not even a month would go by before my satisfaction was questioned. In early January, Carlo Ascani asked a question, on the Elm Discourse, about his Umbra project. I decided to explore his project and I soon discovered two files, devbox.json and devbox.lock, I had never seen before. This piqued my curiosity and I had to learn more. I followed the link to the Devbox website and feverishly read the docs. I... was... hooked. I was pleasantly surprised by its simplicity and it seemed to fit my use cases really well.

How does Flox compare to Devbox? https://github.com/jetpack-io/devbox

I've spent the last year managing all my packages with Devbox (https://github.com/jetpack-io/devbox).

Local dev, cloud dev, CI, production – all with the same config file. Fingers crossed my talk submission for PackagingCon gets accepted. It'd be awesome to share this new way of working with a wider audience.

> Now to figure out what a "flake" is…

Flake is a worthwhile addition to Nix that is worth learning. But like anything Nixian, it's not straightforward.

Have you checked out any of the tools that aim to simplify Nix experience? We built Devbox (https://github.com/jetpack-io/devbox) with this in mind.

Also devbox ( https://github.com/jetpack-io/devbox ) which is what this is for does not work on windows because of its Nix dependency.

For these reasons, I believe most developer environments should prioritize developer experience over fidelity. Tools like Containerized development environments and cloud emulators can strike the right balance and there’s no surprise that we see increased activity around devcontainers, and similar solutions.

Local first, cloud optional is the only way (IMHO) we're going to get people off their local laptop development setups.

We need to support local dev environments first, with the exact same config a developer can then move to the cloud.

See https://github.com/jetpack-io/devbox for how this can be achieved and https://www.mikenikles.com/blog/dev-environments-in-the-clou... for my thoughts after 3 years of working in this space.

If you like the properties of Nix, but find it confusing, you should check out Devbox! It simplifies the process of creating Nix-powered dev environments:

https://github.com/jetpack-io/devbox

As part of the work we've been doing with [devbox](https://github.com/jetpack-io/devbox), we needed a unit testing framework to test some of our nix code. Unfortunately we had some use cases where we did *not* want to introduce a dependency on `nixpkgs` (and therefore we couldn't use `runTests`).

lots of questions here regarding what this product is. I guess i can provide some information for the context, from a perspective of an outside contributor.

Chainguard Images is a set of hardened container images.

They were built by the original team that brought you Google's Distroless (https://github.com/GoogleContainerTools/distroless)

However, there were few problems with Distroless:

1. distroless were based on Debian - which in turn, limited to Debian's release cadence for fixing CVE.

2. distroless is using bazelbuild, which is not exactly easy to contrib, customize, etc...

3. distroless images are hard to extend.

Chainguard built a new "undistro" OS for container workload, named Wolfi, using their OSS projects like melange (for packaging pkgs) and apko (for building images).

The idea is (from my understanding) is that

1. You don't have to rely on upstream to cut a release. Chainguard will be doing that, with lots of automation & guardrails in placed. This allow them to fix vulnerabilties extremely fast.

> If you have one image based on Ubuntu in your stack, you may as well base them all on Ubuntu, because you only need to download (and store!) the common base image once

This is only true if your infrastructure is static. If your infrastructure is highly elastic, image size has an impact on your time to scale up.

Of course, there are better choices than Alpine to optimize image size. Distroless (https://github.com/GoogleContainerTools/distroless) is a good example.

The same as our code dependencies, container updates can include security patches and bug fixes and improvements. However, they can also include breaking changes and it is crucial you test them thoroughly before putting them into production. Wherever possible, I recommend using the distroless base image which will drastically reduce both your image size, your risk vector, and therefore your maintenance version going forward.

# Use a large Node.js base image to build the application and name it "build" FROM node:18-alpine as build WORKDIR /app # Copy the package.json and package-lock.json files into the working directory before copying the rest of the files # This will cache the dependencies and speed up subsequent builds if the dependencies don't change COPY package*.json /app # You might want to use yarn or pnpm instead RUN npm install COPY . /app RUN npm run build # Instead of using a node:18-alpine image, we are using a distroless image. These are provided by google: https://github.com/GoogleContainerTools/distroless FROM gcr.io/distroless/nodejs:18 as prod WORKDIR /app # Copy the built application from the "build" image into the "prod" image COPY --from=build /app/.output /app/.output # Since this image only contains node.js, we do not need to specify the node command and simply pass the path to the index.mjs file! CMD ["/app/.output/server/index.mjs"]

Lots of examples without the entire OS as other comments mention, an example would be Googles distroless[0]

[0]: https://github.com/GoogleContainerTools/distroless

Docker doesn't do this all the time. Distroless Docker containers are relatively common. https://github.com/GoogleContainerTools/distroless

Deployment: https://github.com/GoogleContainerTools/distroless

Or use distroless image as it includes one, among others. https://github.com/GoogleContainerTools/distroless/blob/main/base/README.md