magicpak
enables you to build minimal docker images without any bothersome preparation such as static linking.
# You prepare /bin/your_executable here... ADD https://github.com/coord-e/magicpak/releases/latest/download/magicpak-x86_64-unknown-linux-musl /usr/bin/magicpak RUN chmod +x /usr/bin/magicpak RUN /usr/bin/magicpak -v /bin/your_executable /bundle FROM scratch COPY --from=0 /bundle /. CMD ["/bin/your_executable"]
That’s it! The resulting image shall only contain what your executable requires at runtime. You can find more useful examples of magicpak
under example/.
Feature
magicpak
is a command-line utility that analyzes and bundles runtime dependencies of the executable. magicpak
basically collects all shared object dependencies that are required by a dynamic linker at runtime. Additionally, magicpak
‘s contributions are summarized as follows:
- Simple. You can build a minimal image just by adding a few lines to your
Dockerfile
. - Full-featured. You can bundle, test, and compress your executable at once. You can focus on your business because
magicpak
handles allDockerfile
-specific matters to decrease image size. - Dynamic analysis.
--dynamic
flag enables a dynamic analysis that can discover dependencies other than dynamically linked libraries. - Flexible. We expose a full control of resulting bundle with a family of options like
--include
and--exclude
. You can deal with dependencies that cannot be detected automatically. - Stable. We don’t parse undocumented and sometimes inaccurate ldd(1) outputs. Instead, we use dlopen(3) and dlinfo(3) in glibc to query shared library locations to ld.so(8).
Usage
You can start with magicpak path/to/executable path/to/output
. This simply analyzes runtime dependencies of your executable statically and put everything your executable needs in runtime to the specified output directory. Once they’ve bundled, we can simply copy them to the scratch
image in the second stage as follows.
RUN magicpak path/to/executable /bundle FROM scratch COPY --from=0 /bundle /.
Some executables work well in this way. However, others fail to run properly because magicpak
‘s static analysis isn’t enough to detect all files needed by them at runtime. For this case, magicpak
has --include
option to specify the missing requirements manually. Moreover, you can use --dynamic
to automatically include files that are accessed by the executable during execution.
Despite our careful implementation, our analysis is unreliable in a way because we can’t completely determine the runtime behavior before its execution. To ensure that magicpak
collected all dependencies to perform a specific task, --test
option is implemented. --test
enables testing of the resulting bundle using chroot(2).
The size of the resulting image is our main concern. magicpak
supports executable compression using upx
. You can enable it with --compress
.
Supported options
magicpak [OPTIONS]
Docker images
We provide some base images that contain magicpak
and its optional dependencies to get started.
Example
The following is a dockerfile using magicpak
for a docker image of clang-format
, a formatter for C-like languages. (example/clang-format)
FROM magicpak/debian RUN apt-get -y update RUN apt-get -y --no-install-recommends install clang-format RUN magicpak $(which clang-format) /bundle -v --compress --upx-arg --best --upx-arg --brute --test --test-stdin "int main( ){ }" --test-stdout "int main() {}" --install-to /bin/ FROM scratch COPY --from=0 /bundle /. WORKDIR /workdir CMD ["/bin/clang-format"]
Disclaimer
magicpak
comes with absolutely no warranty. There’s no guarantee that the processed bundle works properly and identically to the original executable. Although I had no problem using magicpak
for building various kinds of images, it is recommended to use this with caution and make a careful examination of the resulting bundle.
License
Licensed under either of
- Apache License, Version 2.0
(LICENSE-APACHE or http://www.apache.org/licenses/LICENSE-2.0) - MIT license
(LICENSE-MIT or http://opensource.org/licenses/MIT)
at your option.
Contribution
Unless you explicitly state otherwise, any contribution intentionally submitted
for inclusion in the work by you, as defined in the Apache-2.0 license, shall be
dual licensed as above, without any additional terms or conditions.