meshery/meshery-kuma
meshery
下载次数: 0状态：社区镜像维护者：meshery仓库类型：镜像最近更新：3 天前
让 AI 帮你使用轩辕镜像？ · 展开查看说明 · 点击收起说明
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。
https://meshery.io/
https://meshery.io/https://meshery.io/https://hub.docker.com/r/meshery/meshery-kuma https://goreportcard.com/report/github.com/meshery/meshery-kuma https://github.com/meshery/meshery-kuma/blob/master/LICENSE https://github.com/issues?q=is%3Aopen%20is%3Aissue%20archived%3Afalse%20(org%3Ameshery%20OR%20org%3Aservice-mesh-performance%20OR%20org%3Aservice-mesh-patterns%20OR%20org%3Ameshery-extensions)%20label%3A%22help%20wanted%22 https://meshery.io/ https://slack.meshery.io https://bestpractices.coreinfrastructure.org/projects/3564
Meshery *** for Kuma
https://meshery.io
https://meshery.io A self-service engineering platform, [***] is the open source, cloud native manager that enables the design and management of all Kubernetes-based infrastructure and applications (multi-cloud). Among other features, As an extensible platform, Meshery offers visual and collaborative GitOps, freeing you from the chains of YAML while managing Kubernetes multi-cluster deployments.If you’re using Meshery or if you like the project, please https://github.com/meshery/meshery/stargazers star this repository to show your support! 🤩
Join the Meshery community!
Our projects are community-built and welcome collaboration. 👍 Be sure to see the https://docs.meshery.io/project/contributing#not-sure-where-to-start and https://meshery.io/community#handbook for a tour of resources available to you. Jump into community https://slack.meshery.io or https://discuss.meshery.io to participate.
https://meshery.io/community
Find your MeshMate
MeshMates are experienced community members, who will help you learn your way around, discover live projects, and expand your community network. Connect with a Meshmate today!
Find out more on the https://meshery.io/community#meshmates.
https://meshery.io/community
✔️ Join any or all of the weekly meetings on https://meshery.io/calendar.
✔️ Watch community meeting recordings.
✔️ Fill-in a https://meshery.io/newcomers to gain access to community resources.
✔️ Discuss in the [***]
✔️ Explore more in the https://meshery.io/community#handbook.
https://slack.meshery.io
Not sure where to start? Grab an open issue with the https://github.com/issues?q=is%3Aopen%20is%3Aissue%20archived%3Afalse%20(org%3Ameshery%20OR%20org%3Aservice-mesh-performance%20OR%20org%3Aservice-mesh-patterns%20OR%20org%3Ameshery-extensions)%20label%3A%22help%20wanted%22.
Contributing
Please do! We're a warm and welcoming community of open source contributors. All types of contributions are welcome. Be sure to read the https://docs.meshery.io/project/contributing for a tour of resources available to you and how to get started.
Stargazers
If you like Meshery, please ★ star this repository to show your support! 🤩
License
This repository and site are available as open-source under the terms of the https://opensource.org/licenses/Apache-2.0.
镜像拉取方式
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。
轩辕镜像加速拉取命令点我查看更多 meshery-kuma 镜像标签
docker pull docker.xuanyuan.run/meshery/meshery-kuma:<标签>
DockerHub 原生拉取命令
docker pull meshery/meshery-kuma:<标签>
镜像拉取常见问题
功能
错误码
用户好评
来自真实用户的反馈，见证轩辕镜像的优质服务
oldzhang
运维工程师
Linux服务器
5
"Docker访问体验非常流畅，大镜像也能快速完成下载。"