Supported tags and respective
What is HAProxy?
HAProxy is a free, open source high availability solution, providing load balancing and proxying for TCP and HTTP-based applications by spreading requests across multiple servers. It is written in C and has a reputation for being fast and efficient (in terms of processor and memory usage).
How to use this image
Since no two users of HAProxy are likely to configure it exactly alike, this image does not come with any default configuration.
Please refer to upstream's excellent (and comprehensive) documentation on the subject of configuring HAProxy for your needs.
It is also worth checking out the
examples/ directory from upstream.
Note: Many configuration examples propose to put
daemon into the
global section to run haproxy as daemon. Do not configure this or the Docker container will exit immediately after launching because the haproxy process would go into the background.
FROM haproxy:1.5 COPY haproxy.cfg /usr/local/etc/haproxy/haproxy.cfg
Build and run:
docker build -t my-haproxy . docker run -d --name my-running-haproxy my-haproxy
Directly via bind mount
docker run -d --name my-running-haproxy -v /path/to/haproxy.cfg:/usr/local/etc/haproxy/haproxy.cfg:ro haproxy:1.5
View license information for the software contained in this image.
Supported Docker versions
This image is officially supported on Docker version 1.7.1.
Support for older versions (down to 1.0) is provided on a best-effort basis.
Documentation for this image is stored in the
haproxy/ directory of the
docker-library/docs GitHub repo. Be sure to familiarize yourself with the repository's
README.md file before attempting a pull request.
If you have any problems with or questions about this image, please contact us through a GitHub issue.
You can also reach many of the official image maintainers via the
#docker-library IRC channel on Freenode.
You are invited to contribute new features, fixes, or updates, large or small; we are always thrilled to receive pull requests, and do our best to process them as fast as we can.
Before you start to code, we recommend discussing your plans through a GitHub issue, especially for more ambitious contributions. This gives other contributors a chance to point you in the right direction, give you feedback on your design, and help you find out if someone else is working on the same thing.