
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。
Docker containers based on ubuntu:20.04.
Example to build and run nginx image.
cd nginx docker build -t jecklgamis/nginx:latest . docker run -p 8080:80 -i -t jecklgamis/nginx:latest
To run the bash shell instead of the default entry point CODE_TOKEN_1
Each image directory contains Makefile that wraps the Docker commands. The above commands can be simply executed as
CODE_TOKEN_2
or make run-bash to run the bash shell. Type make to see the targets you can execute.
CODE_TOKEN_3
Point your browser to http://localhost:8080.
CODE_TOKEN_4
http://localhost:8080.CODE_TOKEN_5
http://localhost:8080.CODE_TOKEN_6
http://localhost:5184/_utils.CODE_TOKEN_7
http://localhost:9200.CODE_TOKEN_8
CODE_TOKEN_9
CODE_TOKEN_10
http://localhost:5601. Note that this requires ES url
http://es.local:9200. You can create /etc/hosts entry 127.0.0.1 es.local that will
point to your local ES instance.This image contains the filebeat, metricbeat, packetbeat, and topbeat data shippers and default dashboards.
CODE_TOKEN_11
CODE_TOKEN_12
This simply runs java -version. You'll usually use this as base image to your JVM app image.
CODE_TOKEN_13
This simply runs java -version. You'll usually use this as base image to your JVM app image.
CODE_TOKEN_14
This stack consists of Kibana, Elasticsearch, and Beats dashboards.
CODE_TOKEN_15
Point your browser to http://localhost:5601 to see the Kibana UI.
cd stacks/nodejs-app make stack
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。
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