I'm a little bit confused about these two options. They appear to be related. However, they're not really compatible.
For example, it seems that using Dockerfiles means that you shouldn't really be committing to images, because you should really just track the Dockerfile in git and make changes to that. Then there's no ambiguity about what is authoritative.
However, image commits seem really nice. It's so great that you could just modify a container directly and tag the changes to create another image. I understand that you can even get something like a filesystem diff from an image commit history. Awesome. But then you shouldn't use Dockerfiles. Otherwise, if you made an image commit, you'd have to go back to your Dockerfile and make some change which represents what you did.
So I'm torn. I love the idea of image commits: that you don't have to represent your image state in a Dockerfile -- you can just track it directly. But I'm uneasy about giving up the idea of some kind of manifest file which gives you a quick overview of what's in an image. It's also disconcerting to see two features in the same software package which seem to be incompatible.
Does anyone have any thoughts on this? Is it considered bad practice to use image commits? Or should I just let go of my attachment to manifest files from my Puppet days? What should I do?
Update:
To all those who think this is an opinion-based question, I'm not so sure. There are some subjective qualities to it, but I think it's mostly an objective question. Furthermore, I believe a good discussion on this topic will be informative.
In the end, I hope that anyone reading this post will come away with a better understanding of how Dockerfiles and image commits relate to each other.
Update - 2017/7/18:
I just recently discovered a legitimate use for image commits. We just set up a CI pipeline at our company and, during one stage of the pipeline, our app tests are run inside of a container. We need to retrieve the coverage results from the exited container after the test runner process has generated them (in the container's file system) and the container has stopped running. We use image commits to do this by committing the stopped container to create a new image and then running commands which display and dump the coverage file to stdout. So it's handy to have this. Apart from this very specific case, we use Dockerfiles to define our environments.
It can be useful to commit a container's file changes or settings into a new image. This allows you to debug a container by running an interactive shell, or to export a working dataset to another server. Generally, it is better to use Dockerfiles to manage your images in a documented and maintainable way.
Minimize the number of layers Only the instructions RUN , COPY , ADD create layers. Other instructions create temporary intermediate images, and do not increase the size of the build. Where possible, use multi-stage builds, and only copy the artifacts you need into the final image.
The best way is to put the Dockerfile inside the empty directory and then add only the application and configuration files required for building the docker image. To increase the build's performance, you can exclude files and directories by adding a . dockerignore file to that directory as well.
There are significant downsides to the commit approach: You can't reproduce the image. You can't change the base image.
Dockerfiles are a tool that is used to create images.
The result of running docker build .
is an image with a commit so it's not possible to use a Dockerfile with out creating a commit. The question is should you update the image by hand each time anything changes and thus doom yourself to the curse of the golden image?
The curse of the golden image is a terrible curse cast upon people who must continue living with a buggy security hole ridden base image to run their software on because the person who created it was long ago devoured by the ancient ones (or moved on to a new job) and nobody knows where they got the version of imagemagic that went into that image. and is the only thing that will link against the c++ module that was provided by that consultant the boss's son hired three years ago, and anyway it doesn't matter because even if you figured out where imagemagic came from the version of libstdc++ used by the JNI calls in the support tool that intern with the long hair created only exists in an unsupported version of ubuntu anyway.
Knowing both solutions advantages and inconvenient is a good start. Because a mix of the two is probably a valid way to go.
Con: avoid the golden image dead end:
Using only commits is bad if you lose track of how to rebuild your image. You don't want to be in the state that you can't rebuild the image. This final state is here called the golden image as the image will be your only reference, starting point and ending point at each stage. If you loose it, you'll be in a lot of trouble since you can't rebuild it. The fatal dead end is that one day you'll need to rebuild a new one (because all system lib are obsolete for instance), and you'll have no idea what to install... ending in big loss of time.
As a side note, it's probable that using commits over commits would be nicer if the history log would be easily usable (consult diffs, and repeat them on other images) as it is in git: you'll notice that git don't have this dilemma.
Pro: slick upgrades to distribute
In the other hand, layering commits has some considerable advantage in term of distributed upgrades and thus in bandwidth and deploy time. If you start to handle docker images as a baker is handling pancakes (which is precisely what docker permits), or want to deploy tests version instantly, you'll be happier to send just a small update in the form of a small commit rather a whole new image. Especially when having continuous integration for your customers where bug fixes should be deployed soon and often.
Try to get the best of two worlds:
In these type of scenario, you'll probably want to tag major version of your images and they should come from Dockerfiles
. And you can provide continuous integration versions thanks to commits based on the tagged version. This mitigates advantages and inconvenients of Dockerfiles and layering commits scenario. Here, the key point is that you never stop keeping track of your images by limiting the number of commits you'll allow to do on them.
So I guess it depends on your scenario, and you probably shouldn't try to find a single rule. However, there might be some real dead-ends you should really avoid (as ending up with a "golden image" scenario) whatever the solution.
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