For more information about this image and its history, please see the relevant manifest file (library/hipache). This image is updated via pull requests to the docker-library/official-images GitHub repo.
For detailed information about the virtual/transfer sizes and individual layers of each of the above supported tags, please see the hipache/tag-details.md file in the docker-library/docs GitHub repo.
Hipache (pronounced hɪ'pætʃɪ) is a distributed proxy designed to route high volumes of http and websocket traffic to unusually large numbers of virtual hosts, in a highly dynamic topology where backends are added and removed several times per second. It is particularly well-suited for PaaS (platform-as-a-service) and other environments that are both business-critical and multi-tenant.
Hipache was originally developed at dotCloud, a popular platform-as-a-service, to replace its first-generation routing layer based on a heavily instrumented nginx deployment. It currently serves production traffic for tens of thousands of applications hosted on dotCloud. Hipache is based on the node-http-proxy library.
This image is officially supported on Docker version 1.10.3.
Support for older versions (down to 1.6) is provided on a best-effort basis.
Please see the Docker installation documentation for details on how to upgrade your Docker daemon.
Documentation for this image is stored in the hipache/ 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. If the issue is related to a CVE, please check for a cve-tracker issue on the official-images repository first.
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.