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mlucken/jenkins-arm
mlucken
Ubuntu based Docker image for jenkins:LTS for ARM CPU's
7 次收藏下载次数: 0状态：社区镜像维护者：mlucken仓库类型：镜像最近更新：5 年前
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jenkins-arm (LTS)
This is an ubuntu based docker container for jenkins:lts for ARM based CPU's with the purpose of helping those who do self hosting on ARM. F
Usage
These instructions will cover usage information and for the docker container:
- https://github.com/jenkinsci/docker
In order to run this container you'll need docker installed.
- Windows
- OS X
- Linux
Purpose
This container was created to allow people who only have ARM based computers have the latest up-to-date Jenkins LTS docker container. I myself have an odroid XU4 which is quite fast but doesn't have the ARM64 support. Many of the documentation on the internet have people install jenkins manually but not via docker for arm32v7. It is my hope that this docker container helps those who are self hosting with ARM computers.
Getting Started
These instructions will cover usage information and for the docker container
Prerequisities
- ARM based CPU
- OSX
- Linux
In order to run this container you'll need docker installed.
- Windows
- OS X
- Linux
Usage
- apple silicon
- odroid xu4
- raspberry pi
- bananapi
- rock64
- rock64Pro
- etc...
Built With
- OS X Catalina
- Docker
- Docker buildx
- Ubuntu
- OpenJDK-8-jre
Find Us
- https://github.com/mluckenbill/jenkins-arm
Versioning
Versioning follows the jenkins lts version number.
- [***]
Authors
- Michael Luckenbill - Initial work - https://github.com/mluckenbill
See also the list of https://github.com/your/repository/contributors who participated in this project.
License
This project is licensed under the MIT License.
Acknowledgments
- Jenkins -https://github.com/jenkinsci/docker
- Jenkins - [***]
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 jenkins-arm 镜像标签
docker pull docker.xuanyuan.run/mlucken/jenkins-arm:<标签>
DockerHub 原生拉取命令
docker pull mlucken/jenkins-arm:<标签>
镜像拉取常见问题
功能
排错
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。"