
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。
nkube is a tool for deploying multinode http://kubernetes.io clusters on Kubernetes itself. It uses https://github.com/kubernetes/helm to deploy a https://github.com/kubernetes/helm/blob/master/docs/charts.md consisting of containers running https://www.freedesktop.org/wiki/Software/systemd/ and https://github.com/jpetazzo/dind. http://kubernetes.io/docs/getting-started-guides/kubeadm/ is then invoked to bootstrap a new Kubernetes cluster.
While nkube can potentially target any kubernetes deployment, it is currently only tested with minikube. To get started:
minikube start
helm init
ip6_tables module is loaded on the docker host (required for calico):minikube ssh sudo modprobe ip6_tables exit
./start.sh [helm install args]
start.sh has finished, a context will have been added that
will allow access to the cluster:kubectl --context=[cluster-id]
More than one nested cluster can be deployed at once.
Since the cluster is deployed with helm, helm commands can be used
to manage the cluster (e.g helm delete [cluster id] removes the
cluster).
ssh access to the nodes of the cluster is not supported. Instead,
use kubectl exec to gain shell access to the master and node
pods.
The number of nodes can be scaled by setting the replica count of the node deployment. The number of nodes is limited only by the capacity of the hosting cluster.
docker volume ls -qf dangling=true | xargs -r docker volume rm
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