Project Icon

concourse

Go语言开发的可扩展自动化CI/CD系统

Concourse是一个Go语言开发的自动化系统,专注于CI/CD领域。它能够处理从简单到复杂的各类自动化流水线。该系统强调幂等性、不可变性、声明式配置、无状态工作节点和可重现构建。目前正在开发的v10版本将显著增强其作为通用自动化工具的功能,尤其是在多分支和PR驱动的工作流程方面。

Concourse: the continuous thing-doer.

Discord Build Contributors Help Wanted

Concourse is an automation system written in Go. It is most commonly used for CI/CD, and is built to scale to any kind of automation pipeline, from simple to complex.

booklit pipeline

Concourse is very opinionated about a few things: idempotency, immutability, declarative config, stateless workers, and reproducible builds.

The road to Concourse v10

Concourse v10 is the code name for a set of features which, when used in combination, will have a massive impact on Concourse's capabilities as a generic continuous thing-doer. These features, and how they interact, are described in detail in the Core roadmap: towards v10 and Re-inventing resource types blog posts. (These posts are slightly out of date, but they get the idea across.)

Notably, v10 will make Concourse not suck for multi-branch and/or pull-request driven workflows - examples of spatial change, where the set of things to automate grows and shrinks over time.

Because v10 is really an alias for a ton of separate features, there's a lot to keep track of - here's an overview:

FeatureRFCStatus
set_pipeline step#31✔ v5.8.0 (experimental)
Var sources for creds#39✔ v5.8.0 (experimental), TODO: #5813
Archiving pipelines#33✔ v6.5.0
Instanced pipelines#34✔ v7.0.0 (experimental)
Static across step🚧 #29✔ v6.5.0 (experimental)
Dynamic across step🚧 #29✔ v7.4.0 (experimental, not released yet)
Projects🚧 #32🙏 RFC needs feedback!
load_var step#27✔ v6.0.0 (experimental)
get_var step#27🚧 #5815 in progress!
Prototypes#37⚠ Pending first use of protocol (any of the below)
run step🚧 #37⚠ Pending its own RFC, but feel free to experiment
Resource prototypes#38🙏 #5870 looking for volunteers!
Var source prototypes🚧 #6275 planned, may lead to RFC
Notifier prototypes🚧 #28⚠ RFC not ready

The Concourse team at VMware will be working on these features, however in the interest of growing a healthy community of contributors we would really appreciate any volunteers. This roadmap is very easy to parallelize, as it is comprised of many orthogonal features, so the faster we can power through it, the faster we can all benefit. We want these for our own pipelines too! 😆

If you'd like to get involved, hop in Discord or leave a comment on any of the issues linked above so we can coordinate. We're more than happy to help figure things out or pick up any work that you don't feel comfortable doing (e.g. UI, unfamiliar parts, etc.).

Thanks to everyone who has contributed so far, whether in code or in the community, and thanks to everyone for their patience while we figure out how to support such common functionality the "Concoursey way!" 🙏

Installation

Concourse is distributed as a single concourse binary, available on the Releases page.

If you want to just kick the tires, jump ahead to the Quick Start.

In addition to the concourse binary, there are a few other supported formats. Consult their GitHub repos for more information:

Quick Start

$ wget https://concourse-ci.org/docker-compose.yml
$ docker-compose up
Creating docs_concourse-db_1 ... done
Creating docs_concourse_1    ... done

Concourse will be running at 127.0.0.1:8080. You can log in with the username/password as test/test.

:warning: If you are using an M1 mac: M1 macs are incompatible with the containerd runtime. After downloading the docker-compose file, change CONCOURSE_WORKER_RUNTIME: "containerd" to CONCOURSE_WORKER_RUNTIME: "houdini". This feature is experimental

Next, install fly by downloading it from the web UI and target your local Concourse as the test user:

$ fly -t ci login -c http://127.0.0.1:8080 -u test -p test
logging in to team 'main'

target saved

Configuring a Pipeline

There is no GUI for configuring Concourse. Instead, pipelines are configured as declarative YAML files:

resources:
- name: booklit
  type: git
  source: {uri: "https://github.com/vito/booklit"}

jobs:
- name: unit
  plan:
  - get: booklit
    trigger: true
  - task: test
    file: booklit/ci/test.yml

Most operations are done via the accompanying fly CLI. If you've got Concourse installed, try saving the above example as booklit.yml, target your Concourse instance, and then run:

fly -t ci set-pipeline -p booklit -c booklit.yml

These pipeline files are self-contained, maximizing portability from one Concourse instance to the next.

Learn More

Contributing

Our user base is basically everyone that develops software (and wants it to work).

It's a lot of work, and we need your help! If you're interested, check out our contributing docs.

项目侧边栏1项目侧边栏2
推荐项目
Project Cover

豆包MarsCode

豆包 MarsCode 是一款革命性的编程助手,通过AI技术提供代码补全、单测生成、代码解释和智能问答等功能,支持100+编程语言,与主流编辑器无缝集成,显著提升开发效率和代码质量。

Project Cover

AI写歌

Suno AI是一个革命性的AI音乐创作平台,能在短短30秒内帮助用户创作出一首完整的歌曲。无论是寻找创作灵感还是需要快速制作音乐,Suno AI都是音乐爱好者和专业人士的理想选择。

Project Cover

有言AI

有言平台提供一站式AIGC视频创作解决方案,通过智能技术简化视频制作流程。无论是企业宣传还是个人分享,有言都能帮助用户快速、轻松地制作出专业级别的视频内容。

Project Cover

Kimi

Kimi AI助手提供多语言对话支持,能够阅读和理解用户上传的文件内容,解析网页信息,并结合搜索结果为用户提供详尽的答案。无论是日常咨询还是专业问题,Kimi都能以友好、专业的方式提供帮助。

Project Cover

阿里绘蛙

绘蛙是阿里巴巴集团推出的革命性AI电商营销平台。利用尖端人工智能技术,为商家提供一键生成商品图和营销文案的服务,显著提升内容创作效率和营销效果。适用于淘宝、天猫等电商平台,让商品第一时间被种草。

Project Cover

吐司

探索Tensor.Art平台的独特AI模型,免费访问各种图像生成与AI训练工具,从Stable Diffusion等基础模型开始,轻松实现创新图像生成。体验前沿的AI技术,推动个人和企业的创新发展。

Project Cover

SubCat字幕猫

SubCat字幕猫APP是一款创新的视频播放器,它将改变您观看视频的方式!SubCat结合了先进的人工智能技术,为您提供即时视频字幕翻译,无论是本地视频还是网络流媒体,让您轻松享受各种语言的内容。

Project Cover

美间AI

美间AI创意设计平台,利用前沿AI技术,为设计师和营销人员提供一站式设计解决方案。从智能海报到3D效果图,再到文案生成,美间让创意设计更简单、更高效。

Project Cover

稿定AI

稿定设计 是一个多功能的在线设计和创意平台,提供广泛的设计工具和资源,以满足不同用户的需求。从专业的图形设计师到普通用户,无论是进行图片处理、智能抠图、H5页面制作还是视频剪辑,稿定设计都能提供简单、高效的解决方案。该平台以其用户友好的界面和强大的功能集合,帮助用户轻松实现创意设计。

投诉举报邮箱: service@vectorlightyear.com
@2024 懂AI·鲁ICP备2024100362号-6·鲁公网安备37021002001498号