Argo Rollouts 是一個 Kubernetes 的擴展資源,它提供了一種名為"藍綠部署"(Blue-Green Deployment)的部署策略。藍綠部署是一種漸進式的部署方式,可以幫助您在不中斷服務的情況下進行應用程序的更新。

以下是 Argo Rollouts 藍綠部署的主要特點和工作原理:

1. 兩個版本並行部署:
   • 藍色環境(blue)代表當前的穩定版本。
   • 綠色環境(green)代表新版本。
   • 兩個版本會同時部署在 Kubernetes 集群中。
2. 流量切換:
   • 流量最初會全部路由到藍色環境。
   • 當新版本準備就緒後,可以逐步將流量切換到綠色環境。
   • 流量切換可以通過修改 Service 或 Ingress 的設定來實現。
3. 回滾機制:
   • 如果新版本出現問題,可以快速將流量切換回藍色環境,實現回滾。
   • 這可以最大限度地減少服務中斷。
4. 金絲雀發佈:
   • Argo Rollouts 支持金絲雀發佈(Canary)策略,可以逐步將流量遷移到新版本。
   • 這樣可以在生產環境中測試新版本,並在出現問題時快速回滾。
5. 自動化管理:
   • Argo Rollouts 提供了聲明式的 API,開發人員可以定義部署策略。
   • 部署過程可以由 Argo Rollouts 自動化管理,減少人工操作。

金絲雀部署

Argo Rollouts helm Install

kubectl create namespace argocd
helm repo add argo https://argoproj.github.io/argo-helm
cd argo-rollouts && helm install argo-rollouts ./ -f ./values.yaml -n argocd

Argocd Rollouts指令安裝

Mac

arch -arm64 brew install argoproj/tap/kubectl-argo-rollouts

Linux

curl -LO https://github.com/argoproj/argo-rollouts/releases/latest/download/kubectl-argo-rollouts-darwin-amd64
chmod +x ./kubectl-argo-rollouts-darwin-amd64
sudo mv ./kubectl-argo-rollouts-darwin-amd64 /usr/local/bin/kubectl-argo-rollouts
kubectl argo rollouts version

Argo CLI

curl -sLO https://github.com/argoproj/argo-workflows/releases/download/v3.5.10/argo-darwin-amd64.gz
gunzip argo-darwin-amd64.gz
chmod +x argo-darwin-amd64
mv ./argo-darwin-amd64 /usr/local/bin/argo
argo version

金丝雀部署 (DEMO)

basic-rollout.yaml

# basic-rollout.yaml
apiVersion: argoproj.io/v1alpha1
kind: Rollout
metadata:
 name: rollouts-demo
spec:
 replicas: 5 # 定义5个副本
 strategy: # 定义升级策略
   canary: # 金丝雀发布
     steps: # 发布的节奏
     - setWeight: 20
     - pause: {} # 会一直暂停
     - setWeight: 40
     - pause: {duration: 10} # 暂停10s
     - setWeight: 60
     - pause: {duration: 10}
     - setWeight: 80
     - pause: {duration: 10}
 revisionHistoryLimit: 2 # 下面部分其实是和 Deployment 兼容的
 selector:
   matchLabels:
     app: rollouts-demo
 template:
   metadata:
     labels:
       app: rollouts-demo
   spec:
     containers:
     - name: rollouts-demo
       image: argoproj/rollouts-demo:red
       ports:
       - name: http
         containerPort: 8080
         protocol: TCP
       resources:
         requests:
           memory: 32Mi
           cpu: 5m

basic-service.yaml

# basic-service.yaml
apiVersion: v1
kind: Service
metadata:
 name: rollouts-demo
spec:
 ports:
   - port: 80
     targetPort: http
     protocol: TCP
     name: http
 selector:
   app: rollouts-demo

Apply yaml

kubectl apply -f basic-rollout.yaml
kubectl apply -f basic-service.yaml

查看服務狀態

kubectl argo rollouts get rollout rollouts-demo --watch

Name:            rollouts-demo
Namespace:       default
Status:          ✔ Healthy
Strategy:        Canary
  Step:          8/8
  SetWeight:     100
  ActualWeight:  100
Images:          argoproj/rollouts-demo:red (stable)
Replicas:
  Desired:       5
  Current:       5
  Updated:       5
  Ready:         5
  Available:     5
NAME                                       KIND        STATUS     AGE  INFO
⟳ rollouts-demo                            Rollout     ✔ Healthy  15m  
└──# revision:1                                                        
   └──⧉ rollouts-demo-5747959bdb           ReplicaSet  ✔ Healthy  15m  stable
      ├──□ rollouts-demo-5747959bdb-cclwh  Pod         ✔ Running  15m  ready:1/1
      ├──□ rollouts-demo-5747959bdb-j2m5x  Pod         ✔ Running  15m  ready:1/1
      ├──□ rollouts-demo-5747959bdb-nldw9  Pod         ✔ Running  15m  ready:1/1
      ├──□ rollouts-demo-5747959bdb-pdgdh  Pod         ✔ Running  15m  ready:1/1
      └──□ rollouts-demo-5747959bdb-rdssn  Pod         ✔ Running  15m  ready:1/1
Name:            rollouts-demo
Namespace:       default
Status:          ✔ Healthy
Strategy:        Canary
  Step:          8/8
  SetWeight:     100
  ActualWeight:  100
Images:          argoproj/rollouts-demo:red (stable)
Replicas:
  Desired:       5
  Current:       5
  Updated:       5
  Ready:         5
  Available:     5
NAME                                       KIND        STATUS     AGE  INFO
⟳ rollouts-demo                            Rollout     ✔ Healthy  15m  
└──# revision:1                                                        
   └──⧉ rollouts-demo-5747959bdb           ReplicaSet  ✔ Healthy  15m  stable
      ├──□ rollouts-demo-5747959bdb-cclwh  Pod         ✔ Running  15m  ready:1/1
      ├──□ rollouts-demo-5747959bdb-j2m5x  Pod         ✔ Running  15m  ready:1/1
      ├──□ rollouts-demo-5747959bdb-nldw9  Pod         ✔ Running  15m  ready:1/1
      ├──□ rollouts-demo-5747959bdb-pdgdh  Pod         ✔ Running  15m  ready:1/1
      └──□ rollouts-demo-5747959bdb-rdssn  Pod         ✔ Running  15m  ready:1/1

更新 Rollout

update images

kubectl argo rollouts set image rollouts-demo rollouts-demo=argoproj/rollouts-demo:blue

Promote Rollout 從pause進入下一個階段

kubectl argo rollouts promote rollouts-demo

暫停部署

kubectl argo rollouts pause rollouts-demo

恢復暫停部署

kubectl argo rollouts resume rollouts-demo

中止當前部署

kubectl argo rollouts abort rollouts-demo

執行結果

中斷Rollout

 kubectl argo rollouts set image rollouts-demo rollouts-demo=argoproj/rollouts-demo:yellow

kubectl argo rollouts abort rollouts-demo

藍綠部署

部署 (DEMO)

kubectl apply -f bluegreen-rollout.yaml

版更

kubectl argo rollouts set image rollout-bluegreen rollouts-demo=argoproj/rollouts-demo:red 

promote至新版本 UI介面手動點選promote或是CLI

kubectl argo rollouts promote rollout-bluegreen 

執行結果