
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。
Minimal Docker image for https://github.com/google/cadvisor (Container Advisor), mirroring ghcr.io/google/cadvisor under the dockette/cadvisor name on Docker Hub.
🕹 f3l1x.io | 💻 https://github.com/f3l1x | 🐦 @xf3l1x
https://github.com/dockette/cadvisor/actions https://hub.docker.com/r/dockette/cadvisor https://github.com/***/f3l1x https://github.com/orgs/dockette/discussions
https://github.com/google/cadvisor collects and exposes resource usage and performance data for running containers. See the upstream https://github.com/google/cadvisor/blob/master/README.md and https://github.com/google/cadvisor/blob/master/docs/running.md for full detail.
Typical Docker on Linux host monitoring (aligned with the https://github.com/google/cadvisor/blob/master/README.md); the UI and API listen on port 8080 inside the container:
shdocker run -d --name cadvisor --privileged --device=/dev/kmsg \ --volume=/:/rootfs:ro \ --volume=/var/run:/var/run:ro \ --volume=/sys:/sys:ro \ --volume=/var/lib/docker/:/var/lib/docker:ro \ --volume=/dev/disk/:/dev/disk:ro \ --publish=8080:8080 \ dockette/cadvisor:0.56.2
Then open http://localhost:8080. On rootless Docker, Podman, or non-default graph roots, the path to the container runtime state may differ from /var/lib/docker; adjust the bind mount to match your setup.
--privileged and --device=/dev/kmsg match the common upstream example for broad compatibility; you may be able to reduce privileges for your environment—see upstream https://github.com/google/cadvisor/blob/master/docs/runtime_options.md.
Use make run to start the same local cAdvisor container with the documented host mounts, --privileged, and /dev/kmsg device access.
Docker image tags use the numeric form (e.g. 0.56.2), matching ghcr.io/google/cadvisor. GitHub https://github.com/google/cadvisor/releases use a v prefix (e.g. v0.56.2) for the same version.
| Image tag | Equivalent upstream | Docker Hub |
|---|---|---|
dockette/cadvisor:0.56.2 | ghcr.io/google/cadvisor:0.56.2 | https://hub.docker.com/r/dockette/cadvisor/tags/ |
dockette/cadvisor:latest | same as 0.56.2 (rolling) | https://hub.docker.com/r/dockette/cadvisor/tags/ |
This image is a thin republish: the Dockerfile uses FROM ghcr.io/google/cadvisor:${CADVISOR_VERSION} so runtime behavior matches that upstream tag.
For cAdvisor versions before v0.53.0, the historical registry was gcr.io/cadvisor/cadvisor instead of GHCR; this repo only republishes the modern GHCR tags.
See https://github.com/dockette/.github/blob/master/CONTRIBUTING.md to this package. *** to https://github.com/***/f3l1x f3l1x. Thank you for using this package.
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
以下是 dockette/cadvisor 相关的常用 Docker 镜像,适用于 不同场景 等不同场景: