Could someone elaborate on this please? Doesn't it depend entirely on your stack how reproducible your build is? Say I have a Python app with its OS level packages installed into a (base) image and its Python dependencies specified in a Pipfile, doesn't that make it pretty reproducible?
Is the weak spot here any OS dependencies being installed as part of the continuous build?
I inherited a dozen or so docker containers a while back that I tried to maintain. Literally none of them would build— they all required going down the rabbit hole of troubleshooting some build error of some transitive dependency. So most of them never got updated and the problem got worse over time until they were abandoned.
The reason Nix is different is because it was a radically ambitious idea to penetrate deep into how all software is built, and fix issues however many layers down the stack it needed to. They set out to boil the ocean, and somehow succeeded. Containers give up, and paper over the problems by adding another layer of complexity on top. Nix is also complex, but it solves a much larger problem, and it goes much deeper to address root causes of issues.
(that sounds like a energy-level-transition in developer productivity and debugging capability, if so)
OK, there's one concession, there's an env var that indicates if it's a dev and prod environment. We try to use it sparingly. Useful for stuff like not reporting exceptions that originate in a dev environment.
Basically, there's a default.nix file in the repo, and you run nix-shell and it builds and launches you into the environment. We don't depend on anything outside of the environment. There's also a dev.nix and a prod.nix, with that single env var different. There's nothing you can't run and test natively, including databases.
Oh, it also works on MacOS, but that's a different environment because some dependencies don't make sense on MacOS, so some stuff is missing.
The immutability is just at build time. So chrome and firefox aren't able to seed a unique ID in the binaries like you might be accustomed to. Funny story, we had a python dependency that would try to update itself when you imported it. I noticed because it would raise an exception when it was on a read only mount.
Assuming that the container's Dockerfile is persisted somewhere in source control, the base image used by that Dockerfile is tagged with a version whose upstream hasn't changed, and that the container isn't modified from the image that Dockerfile produced, you get extremely reproducable builds with extremely explicit dependencies therein.
That said, I definitely see the faults in all of this (the base image version is mutable, and the Dockerfile schema doesn't allow you to verify that an image is what you'd expect with a checksum or something like that, containers can be mutated after startup, containers running as root is still a huge problem, etc), but this is definitely a step up from running apps in VMs. Now that I'm typing this out, I'm surprised that buildpacks or Chef's Habitat didn't take off; they solve a lot of these problems while providing similar reproducability and isolation guarantees.
To make it much more reproducible, you need to do it in two stages: first, pinning to a specific upstream version, installing all of the packages you want, and then tagging the output image. Then you pin to to that tag and use that to prep your app. That's... probably... going to be pretty repeatable. Only downside is that if there is, say, a security update released by Ubuntu that's relevant, you've now got to rebuild both your custom base and your app, and hope that everything still works.
This along with the supply chain issues you mentioned is why some maintainers are moving towards using distroless base images instead, though these can be challenging to debug when things go wrong due to them being extremely minimal, down to not having shells.
The RUN command is Turing complete, therefore cannot be idempotent. Nearly every usable docker image and base image include the RUN command, often explicitly to do things that are not repeatable, like "fetch the latest packages from the repository".
This is all before you get to application code which may be doing the same non-repeatable actions with gems or crates or maven or node modules, or calling a service and storing the result in your build. Getting repeatable docker images usually is a matter of first getting your build system to be repeatable, and then expanding it to include the docker images. And often times standing up a private repository so you have something like a reliable snapshot of the public repository, one you can go back to if someone plays games with the published versions of things.
The main reason the RUN statement isn't idempotent, in my opinion, is that it can reach out to the network and e.g. fetch the latest packages from a repository, like you mention. (Other things like the clock, race conditions in multi-threaded programs, etc. can also cause RUN statements to do different things on multiple runs, but I'd argue those are relatively uncommon and unimportant.)
Maybe someday someone will invent a sort of EBPF for containers, but usually the first batch of RUN commands and the last are calling package managers, and in between you're doing things like creating users and setting permissions using common unix shell commands, which have the same problems.
With the possible exception of the unix package managers, we have no hope of those ever being rewritten inside of a proof system, because the package manager is often a form of dogfooding for the language community. The Node package manager is going to be written in Node and use common networking and archive libraries. Same for Ruby, Rust, you name it.
Turing Machine model doesn’t apply to i/o so it is a meaningless statement.
Bazel and Nix achieve this by sandboxing i/o no turing incompleteness needed (tho bazel is still purposely non-tc but for totally different reason than hermeticity)
But there's no real need for repeatable build docker images. You copy the image and run it where ever you need to. The entire point of Docker is to not have to repeat the build.
They for many years close issues and reject PRs based on the assertion that Dockerfile output needs to be repeatable (specifically, that the requested feature or PR makes it not repeatable). It’s not, it can’t be without a time machine, and if it was I believe you’d find that ace icing traction would have been more difficult, even impossible.
Instead, build your artifact and publish it to an artifact repository, just like we used to.
_then_ wrap that artifact in a Docker image.
Vulnerability found in the docker image? No problem. Build a new image with the same artifact.
What you said about "wrapping" I interpret as: based on an image for instance with OS level dependencies you create another image with application level artifacts, e.g. a python application. When your app changes, you don't build the base image again, you only build the app image. This makes sense to me.
You could break the build simply by cleaning some things from the cache, without changing the Dockerfile, even thought that Dockerfile "succeeded to build"
I think that means containers alone are insufficient for creating reproducible builds, not that containers make reproducible builds impossible.
Containers are to ops like C is to programming languages. Man is it useful, but boy are there footguns everywhere.
Usually still better than the ops equivalent of assembly, which is what came before though - all the custom manual processes.
Kubernetes is maybe like early C++. A bit weird, still has footguns, and is it really helping? Mostly it is in most cases, but we’re also discovering many more new failure modes and having to learn some new complex things.
As it matures, new classes of problems will be way easier to solve with less work, and most of the early footguns will be found and fixed.
There will be new variants that hide the details and de-footgun things too, and that will have various trade offs.
No idea what will be the equivalent of Rust or Java yet.
Can you explain this?
npm doesn't allow you to delete any published versions (you can only deprecate them). You aren't allowed to publish a version that's already been published.
Even when there have been malicious packages published the solution has been to publish newer versions of the package with the old code. There's no way to delete the malicious package (maybe npm internally can do it?).
They only need to "npm ci" (based on package-lock.json) instead of "npm install" (based on package.json) within the Docker container to get a fully reproducible build.
DevOps 101 more or less..
This is the container community’s response to this ambiguity I think.