• 设为首页
  • 点击收藏
  • 手机版
    手机扫一扫访问
    迪恩网络手机版
  • 关注官方公众号
    微信扫一扫关注
    迪恩网络公众号

argoproj/argo-rollouts: Progressive Delivery for Kubernetes

原作者: [db:作者] 来自: 网络 收藏 邀请

开源软件名称(OpenSource Name):

argoproj/argo-rollouts

开源软件地址(OpenSource Url):

https://github.com/argoproj/argo-rollouts

开源编程语言(OpenSource Language):

Go 88.5%

开源软件介绍(OpenSource Introduction):

Argo Rollouts - Progressive Delivery for Kubernetes

codecov slack CII Best Practices

What is Argo Rollouts?

Argo Rollouts is a Kubernetes controller and set of CRDs which provide advanced deployment capabilities such as blue-green, canary, canary analysis, experimentation, and progressive delivery features to Kubernetes.

Argo Rollouts (optionally) integrates with ingress controllers and service meshes, leveraging their traffic shaping abilities to gradually shift traffic to the new version during an update. Additionally, Rollouts can query and interpret metrics from various providers to verify key KPIs and drive automated promotion or rollback during an update.

Argo Rollotus Demo

Quick Start

kubectl create namespace argo-rollouts
kubectl apply -n argo-rollouts -f https://github.com/argoproj/argo-rollouts/releases/latest/download/install.yaml

Follow the full getting started guide to walk through creating and then updating a rollout object.

Why Argo Rollouts?

Kubernetes Deployments provides the RollingUpdate strategy which provide a basic set of safety guarantees (readiness probes) during an update. However the rolling update strategy faces many limitations:

  • Few controls over the speed of the rollout
  • Inability to control traffic flow to the new version
  • Readiness probes are unsuitable for deeper, stress, or one-time checks
  • No ability to query external metrics to verify an update
  • Can halt the progression, but unable to automatically abort and rollback the update

For these reasons, in large scale high-volume production environments, a rolling update is often considered too risky of an update procedure since it provides no control over the blast radius, may rollout too aggressively, and provides no automated rollback upon failures.

Features

  • Blue-Green update strategy
  • Canary update strategy
  • Fine-grained, weighted traffic shifting
  • Automated rollbacks and promotions
  • Manual judgement
  • Customizable metric queries and analysis of business KPIs
  • Ingress controller integration: NGINX, ALB
  • Service Mesh integration: Istio, Linkerd, SMI
  • Metric provider integration: Prometheus, Wavefront, Kayenta, Web, Kubernetes Jobs, Datadog, New Relic, InfluxDB

Documentation

To learn more about Argo Rollouts go to the complete documentation.

Community

You can reach the Argo Rollouts community and developers via the following channels:

Who uses Argo Rollouts?

Official Argo Rollouts User List

Community Blogs and Presentations




鲜花

握手

雷人

路过

鸡蛋
该文章已有0人参与评论

请发表评论

全部评论

专题导读
热门推荐
阅读排行榜

扫描微信二维码

查看手机版网站

随时了解更新最新资讯

139-2527-9053

在线客服(服务时间 9:00~18:00)

在线QQ客服
地址:深圳市南山区西丽大学城创智工业园
电邮:jeky_zhao#qq.com
移动电话:139-2527-9053

Powered by 互联科技 X3.4© 2001-2213 极客世界.|Sitemap