
如果你使用 DeepSeek、元宝 AI、Copilot、ChatGPT 等 AI 工具,协助配置轩辕镜像、编写 docker pull 命令、修改 Docker Compose 镜像地址、配置镜像加速、排查镜像拉取失败、分析报错日志等问题,请先让 AI 阅读并遵守轩辕镜像的规则文档。
只需在 AI 对话中先发送下面这段话即可:
请先阅读并遵守:https://xuanyuan.cloud/agents.md
未读文档前不要生成 pull 命令或排错方案。查看 agents.md 用法指南与完整示范。国内用户首推 元宝 AI、DeepSeek 的深度思考模式,不推荐豆包 AI;Cursor 等编辑器可在对话 @ 该链接,或加入 User Rules。 若 AI 无法访问外链,可 打开说明文档 复制全文粘贴。文档会随站点更新,复制内容可能过期,建议定期检查。
This image is officially deprecated due to upstream inactivity (last updated Feb 2015, https://github.com/hipache/hipache/commit/2d3676638f8b4b1758d70a8dffde1bef88eacf32; last release Apr 2014, https://github.com/hipache/hipache/releases/tag/0.3.1).
The following is a list of other HTTP proxies which might be suitable replacements depending on your needs:
Dockerfile linksFor more information about this image and its history, please see https://github.com/docker-library/official-images/blob/master/library/hipache. This image is updated via https://github.com/docker-library/official-images/pulls?q=label%3Alibrary%2Fhipache.
For detailed information about the virtual/transfer sizes and individual layers of each of the above supported tags, please see https://github.com/docker-library/repo-info/blob/master/repos/hipache/tag-details.md in https://github.com/docker-library/repo-info.
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 1.12.2.
Support for older versions (down to 1.6) is provided on a best-effort basis.
Please see https://docs.docker.com/installation/ for details on how to upgrade your Docker daemon.
If you have any problems with or questions about this image, please contact us through a https://github.com/dotcloud/hipache/issues. If the issue is related to a CVE, please check for https://github.com/docker-library/official-images/issues?q=label%3Acve-tracker.
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 https://github.com/dotcloud/hipache/issues, 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.
Documentation for this image is stored in the https://github.com/docker-library/docs/tree/master/hipache of the https://github.com/docker-library/docs. Be sure to familiarize yourself with the https://github.com/docker-library/docs/blob/master/README.md before attempting a pull request.
您可以使用以下命令拉取该镜像。请将 <标签> 替换为具体的标签版本。如需查看所有可用标签版本,请访问 标签列表页面。
来自真实用户的反馈,见证轩辕镜像的优质服务