
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句话即可:
请先完整阅读并严格遵守以下文档中的全部规则与要求:
https://xuanyuan.cloud/agents.md
在未充分阅读并理解该文档前,不要生成任何命令、配置、修改建议、故障排查方案或技术回答。后续所有输出都必须严格以该文档中的规范为最高优先级执行。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。
A process for automating Docker container base image updates.
https://github.com/Marrrrrrrrry/watchtower/releases https://hub.docker.com/r/marrrrrrrrry/watchtower
With Watchtower you can update the running version of your containerized app simply by pushing a new image to Docker Hub or your own image registry.
Watchtower will pull down the new image, gracefully shut down your existing container, and restart it with the same options that were used when it was deployed initially.
Run Watchtower with:
bashdocker run --detach \ --name watchtower \ --volume /var/run/docker.sock:/var/run/docker.sock \ marrrrrrrrry/watchtower
Watchtower is intended to be used in homelabs, media centers, local dev environments, and similar. We do not recommend using Watchtower in a commercial or production environment. If that is you, you should be looking into using Kubernetes. If that feels like too big a step for you, please look into solutions like MicroK8s and k3s that take away a lot of the toil of running a Kubernetes cluster.
The full documentation is available at https://marrrrrrrrry.github.io/watchtower-docs/.
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