A command line tool to build and manage stacks of docker images. You can mix and match different sets of build instructions as a dependency graph to create maintainable and extensible stacks of docker images.
Requires Docker and Python 2.7 or 3.5+.
pip install DockerMake
This will install the command line tool,
docker-make, and its supporting python package, which you can import as
To build some illustrative examples, try running the example in this repository:
git clone https://github.com/avirshup/DockerMake cd DockerMake/example docker-make --list docker-make final
The punchline: define small pieces of configuration or functionality, then mix them together into production container images.
DockerMake.yml file contains discrete build "steps". These steps can depend on each other, forming a dependency graph. DockerMake solves the dependency graph and drives building of each image as necessary. This makes it easy to keep your images up-to-date while still taking advantage of docker's shared fileystem layers and build cache.
.dockerignorefiles for any given build step
squash: truein a step definition) without busting the cache
secret_filesto erase them from intermediate layers (In the step definition, use
secret_files: ['path1', 'path2', ...])
WARNING: these features are in alpha - use with extreme caution
DockerMake.yml lets you split your image build up into discrete, easy to manage steps that can be mixed together (as a dependency graph) to produce your desired container image.
The DockerMake.yml file is a YAML-formatted file that lists build steps. To create an extremely basic image, define a step with a base image and a series of dockerfile commands:
FIRST_STEP_NAME: FROM: BASE_IMAGE_NAME build: | RUN [something] ADD [something else] [Dockerfile commands go here]
requires field to define additional steps that extend the first one:
FIRST_STEP_NAME: [...] NEXT_STEP_NAME: requires: - FIRST_STEP_NAME build: | [additional Dockerfile instructions]
Image definitions can include any of the following fields:
The docker image to use as a base for this image (and those that require it). This can be either the name of an image (using
FROM) or the path to a local Dockerfile (using
baseimage: FROM: python:3.6-slim
baseimage: FROM_DOCKERFILE: ../myproject/Dockerfile
Multi-line string defining dockerfile commands to build this step. Note that these commands CANNOT contain 'FROM'. See also Notes on multi-line strings below.
build-image: requires: - baseimage build: | RUN apt-get update \ && apt-get install -y gcc vi ENV editor=vi
List of other image definitions to include in this one.
docker-make will create a new image from a single DockerFile that includes an amalgamation of all image definitions.
my-tools: build: | RUN pip install numpy jupyter pandas [...] data-sci-environment: requires: - baseimage - my-tools
Path to a directory on your filesystem. This will be used to locate files for
COPY commands in your dockerfile. See Notes on relative paths below.
data-image: build_directory: ./datafiles build: | COPY data /opt/data [...]
A custom .dockerignore for this step. This overrides any existing
.dockerignore file in the build context. Only relevant for
COPY commands when the
build_directory is specified. This can either be a multi-line string (using the
ignore field) or the path to a file (using the
data-image: build_directory: ./datafiles build: | ADD [...] ignore: | *.pyc *~ *.tmp
An arbitrary comment (ignored by
Used to copy files into this image from other images (to copy from your filesystem or a URL, use the standard
COPY dockerfile commands). This is a mapping of mappings of the form:
[image-name]: [...] copy_from: [source_image1]: [source path 1]: [dest path 1] [source path 2]: [dest path 2] [source image2]: [...]
Note that, for historical reasons, these copies are performed after any build instructions are executed.
NOTE: this feature requires that your docker daemon's experimental features be enabled.
Used to squash all layers produced in a given step. This can be helfpul both for keeping image sizes low, especially when it's necessary to add a lot of data via the
COPY dockerfile commands.
Note that setting
squash: True for a step only squashes the layers generated by that step. All layers in the base image are left intact.
Additionally, unlike the vanilla
docker build --squash command, downstream image builds can use the squashed image in their cache, so that squashing doesn't force you to repeatedly re-run the same downstream build steps.
Example: In this example, we create a huge file in the image, do something with it, then erase it.
count-a-big-file: FROM: alpine build: | RUN dd if=/dev/zero of=/root/bigfile count=16384 bs=1024 RUN wc /root/bigfile > /root/numbiglines RUN rm /root/bigfile
Let's build it and check the size:
$ docker-make count-a-big-file [...] docker-make finished. Built: * count-a-big-file $ docker images count-a-big-file REPOSITORY ... SIZE count-a-big-file ... 20.9MB
But, take them same definition and add a
squash: true to it:
count-a-big-file: FROM: alpine squash: true build: | RUN dd if=/dev/zero of=/root/bigfile count=16384 bs=1024 RUN wc /root/bigfile > /root/numbiglines RUN rm /root/bigfile
And we find that the deleted file is no longer taking up space:
$ docker-make count-a-big-file [...] docker-make finished. Built: * count-a-big-file $ docker images count-a-big-file REPOSITORY ... SIZE count-a-big-file ... 4.15MB
Read these caveats first
dockerusers on your build machine.
secret_filesfor a step, it only erases files that are added in the
builddefinition for that step. Files added in other steps will remain exposed in your image's layers.
It's often necessary to perform some form of authentication during a build - for instance, you might need to clone a private git repository or download dependencies from a private server. However, it's quite challenging to do so without leaving your credentials inside a layer of the final docker image or its history.
Files added or created in a given step can be designated as
secret_files in DockerMake.yml. These files will be automatically erased at the end of the step, and the step's layers will be squashed to keep the files out of the history.
my-secret-steps: FROM: python:3.6 build: | ADD my-credentials /opt/credentials RUN some-process --credentials /opt/credentials secret_files: - /opt/credentials
You can include step definitions from other DockerMake.yml files by listing them in the
_SOURCES_. For example:
_SOURCES_: - ~/mydefinitions/DockerMake.yml - ./other/file.yml [...]
Please note that relative file paths in each file are always interpreted relative to the directory containing that file.
By default, running
docker-make --all will build all well-defined images defined in a file (and any files included via
_SOURCES_). Images without a
FROM_DOCKERFILE field in any of their requirements will be ignored.
Alternatively, you can use the
_ALL_ field to designate specific images to build. For example, in the following definition,
docker-make --all will only build
_ALL_: - imgone - imgtwo baseimage: FROM: [...] [...] imgone: [...] imgtwo: [...]
Note that the
_ALL_ fields from any files included via
_SOURCES_ are ignored.
Relative paths: Several of these fields include paths on your local filesystem. They may be absolute or relative; relative paths are resolved relative to the DockerMake.yml file they appear in. Use of
~ is allowed to denote the home directory.
Multiline strings: You'll usually want to express the
ignore fields as multiline strings. To do so, use the following YML "literal block scalar" style, as in all examples above.
field-name: | [line 1] [line 2] [...] next field: [...]
This example builds a single docker image called
data_science. It does this by mixing together three components:
devbase (the base image),
airline_data (a big CSV file), and
python_image (a python installation).
docker-make will create an image that combines all of these components.
devbase: FROM: phusion/baseimage build: | RUN apt-get -y update && apt-get -y install build-essential && mkdir -p /opt airline_data: build_directory: sample_data/airline_data build: | ADD AirPassengers.csv /data plant_data: build_directory: sample_data/plant_growth build: | ADD Puromycin.csv /data python_image: requires: - devbase build: | RUN apt-get install -y python python-pandas data_science: requires: - python_image - airline_data - plant_data
To build an image called
alice/data_science, you can run:
docker-make data_science --repository alice
which will create an image with all the commands in
This works by dynamically generating a new Dockerfile every time you ask to build something. However, most of the commands will be cached, especially if you have a large hierarchy of base images. This actually leads to less rebuilding than if you had a series of Dockerfiles linked together with
Here's the dependency graph and generated Dockerfiles:
usage: docker-make [-h] [-f MAKEFILE] [-a] [-l] [--build-arg BUILD_ARG] [--requires [REQUIRES [REQUIRES ...]]] [--name NAME] [-p] [-n] [--dockerfile-dir DOCKERFILE_DIR] [--pull] [--cache-repo CACHE_REPO] [--cache-tag CACHE_TAG] [--no-cache] [--bust-cache BUST_CACHE] [--clear-copy-cache] [--keep-build-tags] [--repository REPOSITORY] [--tag TAG] [--push-to-registry] [--registry-user REGISTRY_USER] [--registry-token REGISTRY_TOKEN] [--version] [--help-yaml] [--debug] [TARGETS [TARGETS ...]] NOTE: Docker environmental variables must be set. For a docker-machine, run `eval $(docker-machine env [machine-name])` optional arguments: -h, --help show this help message and exit Choosing what to build: TARGETS Docker images to build as specified in the YAML file -f MAKEFILE, --makefile MAKEFILE YAML file containing build instructions -a, --all Print or build all images (or those specified by _ALL_) -l, --list List all available targets in the file, then exit. --build-arg BUILD_ARG Set build-time variables (used the same way as docker build --build-arg), e.g., `... --build-arg VAR1=val1 --build-arg VAR2=val2` --requires [REQUIRES [REQUIRES ...]] Build a special image from these requirements. Requires --name --name NAME Name for custom docker images (requires --requires) Dockerfiles: -p, --print-dockerfiles, --print_dockerfiles Print out the generated dockerfiles named `Dockerfile.[image]` -n, --no_build Only print Dockerfiles, don't build them. Implies --print. --dockerfile-dir DOCKERFILE_DIR Directory to save dockerfiles in (default: ./docker_makefiles) Image caching: --pull Always try to pull updated FROM images --cache-repo CACHE_REPO Repository to use for cached images. This allows you to invoke the `docker build --build-from` option for each image.For instance, running `docker-make foo bar --cache-repo docker.io/cache` will use docker.io/cache/foo as a cache for `foo` and docker.io/cache/bar as a cachefor `bar`. --cache-tag CACHE_TAG Tag to use for cached images; can be used with the --cache-repo option (see above). --no-cache Rebuild every layer --bust-cache BUST_CACHE Force docker to rebuilt all layers in this image. You can bust multiple image layers by passing --bust-cache multiple times. --clear-copy-cache, --clear-cache Remove docker-make's cache of files for `copy-from`. --keep-build-tags Don't untag intermediate build containers when build is complete Repositories and tags: --repository REPOSITORY, -r REPOSITORY, -u REPOSITORY Prepend this repository to all built images, e.g. `docker-make hello-world -u quay.io/elvis` will tag the image as `quay.io/elvis/hello-world`. You can add a ':' to the end to image names into tags: `docker- make -u quay.io/elvis/repo: hello-world` will create the image in the elvis repository: quay.io/elvis/repo:hello-world --tag TAG, -t TAG Tag all built images with this tag. If image names are ALREADY tags (i.e., your repo name ends in a ":"), this will append the tag name with a dash. For example: `docker-make hello-world -u elvis/repo: -t 1.0` will create the image "elvis/repo:hello-world-1.0 --push-to-registry, -P Push all built images to the repository specified (only if image repository contains a URL) -- to push to dockerhub.com, use index.docker.io as the registry) --registry-user REGISTRY_USER, --user REGISTRY_USER For pushes: log into the registry using this username --registry-token REGISTRY_TOKEN, --token REGISTRY_TOKEN Token or password to log into registry (optional; uses $HOME/.dockercfg or $HOME/.docker/config.json if not passed) Help: --version Print version and exit. --help-yaml Print summary of YAML file format and exit. --debug
Copyright (c) 2015-2017, Autodesk Inc. Copyright (c) 2017-2018, Docker-Make contributors. Released under the Apache 2.0 License.