什么是argo rollouts
Argo-Rollout是一个Kubernetes Controller和对应一系列的CRD,提供更强大的Deployment能力。包括灰度发布、蓝绿部署、更新测试(experimentation)、渐进式交付(progressive delivery)等特性。
支持特性如下:
- 蓝绿色更新策略
- 金丝雀更新策略
- 细粒度,加权流量转移
- 自动回rollback和promotion
- 手动判断
- 可定制的指标查询和业务KPI分析
- 入口控制器集成:NGINX,ALB
- 服务网格集成:Istio,Linkerd,SMI
- Metric provider集成:Prometheus,Wavefront,Kayenta,Web,Kubernetes Jobs
Argo原理和Deployment差不多,只是加强rollout的策略和流量控制。当spec.template发送变化时,Argo-Rollout就会根据spec.strategy进行rollout,通常会产生一个新的ReplicaSet,逐步scale down之前的ReplicaSet的pod数量。
安装
按官方文档进行安装,官方地址为:https://argoproj.github.io/argo-rollouts/installation/#kubectl-plugin-installation
(1)在Kubernetes集群中安装argo-rollouts
kubectl create namespace argo-rollouts
kubectl apply -n argo-rollouts -f https://raw.githubusercontent.com/argoproj/argo-rollouts/stable/manifests/install.yaml
(2)安装argo-rollouts的kubectl plugin
curl -LO https://github.com/argoproj/argo-rollouts/releases/latest/download/kubectl-argo-rollouts-linux-amd64
chmod +x ./kubectl-argo-rollouts-linux-amd64
mv ./kubectl-argo-rollouts-linux-amd64 /usr/local/bin/kubectl-argo-rollouts
金丝雀发布
金丝雀发布包含Replica Shifting和Traffic Shifting两个过程。
- Replica Shifting:版本替换
- Traffic Shifting:流量接入
这里使用官方的demo来进行测试。例子:https://argoproj.github.io/argo-rollouts/getting-started/
Replica Shifting
部署应用
使用如下命令部署示例:
kubectl apply -f https://raw.githubusercontent.com/argoproj/argo-rollouts/master/docs/getting-started/basic/rollout.yaml
kubectl apply -f https://raw.githubusercontent.com/argoproj/argo-rollouts/master/docs/getting-started/basic/service.yaml
我们先看看第一个rollout.yaml的具体内容,如下:
apiVersion: argoproj.io/v1alpha1
kind: Rollout
metadata:
name: rollouts-demo
spec:
replicas: 5
strategy:
canary:
steps:
- setWeight: 20
- pause: {}
- setWeight: 40
- pause: {duration: 10}
- setWeight: 60
- pause: {duration: 10}
- setWeight: 80
- pause: {duration: 10}
revisionHistoryLimit: 2
selector:
matchLabels:
app: rollouts-demo
template:
metadata:
labels:
app: rollouts-demo
spec:
containers:
- name: rollouts-demo
image: argoproj/rollouts-demo:blue
ports:
- name: http
containerPort: 8080
protocol: TCP
resources:
requests:
memory: 32Mi
cpu: 5m
可以看到除了apiVersion
,kind
以及strategy
之外,其他和Deployment无异。
strategy
字段定义的是发布策略,其中:
- setWeight:设置流量的权重
- pause:暂停,如果里面没有跟
duration: 10
则表示需要手动更新,如果跟了表示等待多长时间会自动更新。
而service.yaml文件定义的就是普通的service,如下:
apiVersion: v1
kind: Service
metadata:
name: rollouts-demo
spec:
ports:
- port: 80
targetPort: http
protocol: TCP
name: http
selector:
app: rollouts-demo
执行上面命令部署后,会在default
命名空间下创建5个pod,如下:
# kubectl get pod
NAME READY STATUS RESTARTS AGE
nfs-client-prosioner-598d477ff6-fmgwf 1/1 Running 2 17d
rollouts-demo-7bf84f9696-4glv6 1/1 Running 0 78s
rollouts-demo-7bf84f9696-7kqt6 1/1 Running 0 78s
rollouts-demo-7bf84f9696-8k9hw 1/1 Running 0 78s
rollouts-demo-7bf84f9696-9cz2r 1/1 Running 0 78s
rollouts-demo-7bf84f9696-jvzvd 1/1 Running 0 78s
可以使用kubectl-argo-rollouts get rollout rollouts-demo
命令来查看部署状态,如下:
# kubectl-argo-rollouts get rollout rollouts-demo Name: rollouts-demo Namespace: default Status: ✔ Healthy Strategy: Canary Step: 8/8 SetWeight: 100 ActualWeight: 100 Images: argoproj/rollouts-demo:blue (stable) Replicas: Desired: 5 Current: 5 Updated: 5 Ready: 5 Available: 5
NAME KIND STATUS AGE INFO
⟳ rollouts-demo Rollout ✔ Healthy 114s
└──# revision:1
└──⧉ rollouts-demo-7bf84f9696 ReplicaSet ✔ Healthy 114s stable
├──□ rollouts-demo-7bf84f9696-4glv6 Pod ✔ Running 114s ready:1/1
├──□ rollouts-demo-7bf84f9696-7kqt6 Pod ✔ Running 114s ready:1/1
├──□ rollouts-demo-7bf84f9696-8k9hw Pod ✔ Running 114s ready:1/1
├──□ rollouts-demo-7bf84f9696-9cz2r Pod ✔ Running 114s ready:1/1
└──□ rollouts-demo-7bf84f9696-jvzvd Pod ✔ Running 114s ready:1/1
可以看到该版本被标记为stable
,而且STATUS为healthy
。还可以在命令后面加一个--watch
来实时监控服务状态,完整命令为kubectl argo rollouts get rollout rollouts-demo --watch
。
更新应用
接下来对应用进行更新。对应用进行更新和更新用Deployment部署的应用一样,更新镜像即可。argo rollouts插件有一个set image
命令来更新镜像,如下:
kubectl argo rollouts set image rollouts-demo
rollouts-demo=argoproj/rollouts-demo:yellow
更新过后,我们可以通过观察kubectl argo rollouts get rollout rollouts-demo --watch
服务状态,如下:
Name: rollouts-demo
Namespace: default
Status: ॥ Paused
Message: CanaryPauseStep
Strategy: Canary
Step: 1/8
SetWeight: 20
ActualWeight: 20
Images: argoproj/rollouts-demo:blue (stable)
argoproj/rollouts-demo:yellow (canary)
Replicas:
Desired: 5
Current: 5
Updated: 1
Ready: 5
Available: 5
NAME KIND STATUS AGE INFO
⟳ rollouts-demo Rollout ॥ Paused 9m12s
├──# revision:2
│ └──⧉ rollouts-demo-789746c88d ReplicaSet ✔ Healthy 44s canary
│ └──□ rollouts-demo-789746c88d-l4gmd Pod ✔ Running 44s ready:1/1
└──# revision:1
└──⧉ rollouts-demo-7bf84f9696 ReplicaSet ✔ Healthy 9m12s stable
├──□ rollouts-demo-7bf84f9696-4glv6 Pod ✔ Running 9m12s ready:1/1
├──□ rollouts-demo-7bf84f9696-8k9hw Pod ✔ Running 9m12s ready:1/1
├──□ rollouts-demo-7bf84f9696-9cz2r Pod ✔ Running 9m12s ready:1/1
└──□ rollouts-demo-7bf84f9696-jvzvd Pod ✔ Running 9m12s ready:1/1
可以看到多了一个revision:2
,而且该版本被标记为canary
,而且状态是Status: Paused
,canary接入流量为20%。
部署之所以处于Paused
阶段,是因为我们在rollout.yaml中定义了发布第一个版本后会暂停,这时候需要手动接入接下来的更新。
argo rollouts提供了promote
来进行后续的更新,命令如下:
kubectl argo rollouts promote rollouts-demo
然后我们可以在watch界面,看到如下的更新过程。
Name: rollouts-demo
Namespace: default
Status: ॥ Paused
Message: CanaryPauseStep
Strategy: Canary
Step: 3/8
SetWeight: 40
ActualWeight: 40
Images: argoproj/rollouts-demo:blue (stable)
argoproj/rollouts-demo:yellow (canary)
Replicas:
Desired: 5
Current: 5
Updated: 2
Ready: 5
Available: 5
NAME KIND STATUS AGE INFO
⟳ rollouts-demo Rollout ॥ Paused 15m
├──# revision:2
│ └──⧉ rollouts-demo-789746c88d ReplicaSet ✔ Healthy 6m46s canary
│ ├──□ rollouts-demo-789746c88d-l4gmd Pod ✔ Running 6m46s ready:1/1
│ └──□ rollouts-demo-789746c88d-67dwp Pod ✔ Running 19s ready:1/1
└──# revision:1
└──⧉ rollouts-demo-7bf84f9696 ReplicaSet ✔ Healthy 15m stable
├──□ rollouts-demo-7bf84f9696-4glv6 Pod ✔ Running 15m ready:1/1
├──□ rollouts-demo-7bf84f9696-8k9hw Pod ✔ Running 15m ready:1/1
├──□ rollouts-demo-7bf84f9696-9cz2r Pod ✔ Running 15m ready:1/1
└──□ rollouts-demo-7bf84f9696-jvzvd Pod ◌ Terminating 15m ready:1/1
因为后续的更新在pause阶段只暂停10s,所以会依次自动更新完,不需要手动介入,待更新完后整体的状态如下:
Name: rollouts-demo
Namespace: default
Status: ✔ Healthy
Strategy: Canary
Step: 8/8
SetWeight: 100
ActualWeight: 100
Images: argoproj/rollouts-demo:yellow (stable)
Replicas:
Desired: 5
Current: 5
Updated: 5
Ready: 5
Available: 5
NAME KIND STATUS AGE INFO
⟳ rollouts-demo Rollout ✔ Healthy 17m
├──# revision:2
│ └──⧉ rollouts-demo-789746c88d ReplicaSet ✔ Healthy 8m35s stable
│ ├──□ rollouts-demo-789746c88d-l4gmd Pod ✔ Running 8m35s ready:1/1
│ ├──□ rollouts-demo-789746c88d-67dwp Pod ✔ Running 2m8s ready:1/1
│ ├──□ rollouts-demo-789746c88d-k7mfk Pod ✔ Running 106s ready:1/1
│ ├──□ rollouts-demo-789746c88d-glbfb Pod ✔ Running 94s ready:1/1
│ └──□ rollouts-demo-789746c88d-d7m4f Pod ✔ Running 83s ready:1/1
└──# revision:1
└──⧉ rollouts-demo-7bf84f9696 ReplicaSet • ScaledDown 17m
可以看到第一个版本已经下线,第二个版本的状态为Healthy
,而且镜像被标记为stable
。
终止更新
如果在更新应用的过程中,最新的应用有问题,需要终止更新需要怎么做呢?
我们先使用下面命令发布新版本应用,如下:
kubectl argo rollouts set image rollouts-demo
rollouts-demo=argoproj/rollouts-demo:red
然后更新动作会在第一次更新的时候处于Paused
状态,现在我们可以用abort
来终止发布,如下:
kubectl argo rollouts abort rollouts-demo
待执行完命令后,可以在watch页面,看到如下信息:
Name: rollouts-demo
Namespace: default
Status: ✖ Degraded
Message: RolloutAborted: Rollout is aborted
Strategy: Canary
Step: 0/8
SetWeight: 0
ActualWeight: 0
Images: argoproj/rollouts-demo:yellow (stable)
Replicas:
Desired: 5
Current: 5
Updated: 0
Ready: 5
Available: 5
NAME KIND STATUS AGE INFO
⟳ rollouts-demo Rollout ✖ Degraded 21m
├──# revision:3
│ └──⧉ rollouts-demo-6f75f48b7 ReplicaSet • ScaledDown 90s canary
├──# revision:2
│ └──⧉ rollouts-demo-789746c88d ReplicaSet ✔ Healthy 13m stable
│ ├──□ rollouts-demo-789746c88d-l4gmd Pod ✔ Running 13m ready:1/1
│ ├──□ rollouts-demo-789746c88d-67dwp Pod ✔ Running 6m46s ready:1/1
│ ├──□ rollouts-demo-789746c88d-k7mfk Pod ✔ Running 6m24s ready:1/1
│ ├──□ rollouts-demo-789746c88d-glbfb Pod ✔ Running 6m12s ready:1/1
│ └──□ rollouts-demo-789746c88d-nntc9 Pod ✔ Running 18s ready:1/1
└──# revision:1
└──⧉ rollouts-demo-7bf84f9696 ReplicaSet • ScaledDown 21m
最终应用会回退到稳定版本。
但是我们可以看到Status是Degraded
状态而并非Healthy
状态,我们有必须要将其变成Healthy
状态。最简单的办法就是执行如下命令重新发布一下版本:
kubectl argo rollouts set image rollouts-demo
rollouts-demo=argoproj/rollouts-demo:yellow
执行过后,可以看到其状态立即变成Healthy,并且没有创建新的副本、新的版本,如下:
Name: rollouts-demo
Namespace: default
Status: ✔ Healthy
Strategy: Canary
Step: 8/8
SetWeight: 100
ActualWeight: 100
Images: argoproj/rollouts-demo:yellow (stable)
Replicas:
Desired: 5
Current: 5
Updated: 5
Ready: 5
Available: 5
NAME KIND STATUS AGE INFO
⟳ rollouts-demo Rollout ✔ Healthy 40m
├──# revision:4
│ └──⧉ rollouts-demo-789746c88d ReplicaSet ✔ Healthy 32m stable
│ ├──□ rollouts-demo-789746c88d-l4gmd Pod ✔ Running 32m ready:1/1
│ ├──□ rollouts-demo-789746c88d-67dwp Pod ✔ Running 26m ready:1/1
│ ├──□ rollouts-demo-789746c88d-k7mfk Pod ✔ Running 25m ready:1/1
│ ├──□ rollouts-demo-789746c88d-glbfb Pod ✔ Running 25m ready:1/1
│ └──□ rollouts-demo-789746c88d-nntc9 Pod ✔ Running 19m ready:1/1
├──# revision:3
│ └──⧉ rollouts-demo-6f75f48b7 ReplicaSet • ScaledDown 20m
└──# revision:1
└──⧉ rollouts-demo-7bf84f9696 ReplicaSet • ScaledDown 40m
回退应用
有时候在应用上线过后,有些BUG并没有发现,这时候要回退怎么办呢?argo rollouts有一个undo
命令,可以进行回退。
比如我们要将版本回退到第一个版本,则执行一下命令:
kubectl-argo-rollouts undo rollouts-demo --to-revision=1
然后通过watch界面可以看到如下信息:
Name: rollouts-demo
Namespace: default
Status: ॥ Paused
Message: CanaryPauseStep
Strategy: Canary
Step: 1/8
SetWeight: 20
ActualWeight: 20
Images: argoproj/rollouts-demo:blue (canary)
argoproj/rollouts-demo:yellow (stable)
Replicas:
Desired: 5
Current: 5
Updated: 1
Ready: 5
Available: 5
NAME KIND STATUS AGE INFO
⟳ rollouts-demo Rollout ॥ Paused 45m
├──# revision:5
│ └──⧉ rollouts-demo-7bf84f9696 ReplicaSet ✔ Healthy 45m canary
│ └──□ rollouts-demo-7bf84f9696-bn2lz Pod ✔ Running 36s ready:1/1
├──# revision:4
│ └──⧉ rollouts-demo-789746c88d ReplicaSet ✔ Healthy 36m stable
│ ├──□ rollouts-demo-789746c88d-l4gmd Pod ✔ Running 36m ready:1/1
│ ├──□ rollouts-demo-789746c88d-67dwp Pod ✔ Running 30m ready:1/1
│ ├──□ rollouts-demo-789746c88d-k7mfk Pod ✔ Running 29m ready:1/1
│ └──□ rollouts-demo-789746c88d-glbfb Pod ✔ Running 29m ready:1/1
└──# revision:3
└──⧉ rollouts-demo-6f75f48b7 ReplicaSet • ScaledDown 25m
首先revision为1的版本标记没有,重新创建了一个为5的标记,而且第一步处于暂停状态,然后我们执行promote
命令继续后续的更新,如下:
kubectl argo rollouts promote rollouts-demo
然后我们可以看到如下信息:
Name: rollouts-demo
Namespace: default
Status: ✔ Healthy
Strategy: Canary
Step: 8/8
SetWeight: 100
ActualWeight: 100
Images: argoproj/rollouts-demo:blue (stable)
Replicas:
Desired: 5
Current: 5
Updated: 5
Ready: 5
Available: 5
NAME KIND STATUS AGE INFO
⟳ rollouts-demo Rollout ✔ Healthy 48m
├──# revision:5
│ └──⧉ rollouts-demo-7bf84f9696 ReplicaSet ✔ Healthy 48m stable
│ ├──□ rollouts-demo-7bf84f9696-bn2lz Pod ✔ Running 3m21s ready:1/1
│ ├──□ rollouts-demo-7bf84f9696-xn6dr Pod ✔ Running 56s ready:1/1
│ ├──□ rollouts-demo-7bf84f9696-w58vm Pod ✔ Running 44s ready:1/1
│ ├──□ rollouts-demo-7bf84f9696-fns8d Pod ✔ Running 33s ready:1/1
│ └──□ rollouts-demo-7bf84f9696-qt6f9 Pod ✔ Running 22s ready:1/1
├──# revision:4
│ └──⧉ rollouts-demo-789746c88d ReplicaSet • ScaledDown 39m
└──# revision:3
└──⧉ rollouts-demo-6f75f48b7 ReplicaSet • ScaledDown 27m
从Images
可以看到回退到我们最初版本为blue
的镜像了。
Traffic Shifting
上面我们并没有接入外部流量,仅仅是在内部使用展示了金丝雀部署过程,下面我们接入外部流量进行测试。
Argo-Rollout主要集成了Ingress和ServiceMesh两种流量控制方法。
目前Ingress支持ALB和NGINX ingress。但是我使用的是nginx ingress。
部署应用
我们依然使用官方的例子进行展示。
首先删除上面的例子。
然后重新部署一个官方的例子,如下:
kubectl apply -f https://raw.githubusercontent.com/argoproj/argo-rollouts/master/docs/getting-started/nginx/rollout.yaml
kubectl apply -f https://raw.githubusercontent.com/argoproj/argo-rollouts/master/docs/getting-started/nginx/services.yaml
kubectl apply -f https://raw.githubusercontent.com/argoproj/argo-rollouts/master/docs/getting-started/nginx/ingress.yaml
这个例子包含1个rollout,2个service,1个ingress。
它们的配置文件分别如下。
rollout.yaml,为了便于测试,我将权重改为了50
apiVersion: argoproj.io/v1alpha1
kind: Rollout
metadata:
name: rollouts-demo
spec:
replicas: 1
strategy:
canary:
canaryService: rollouts-demo-canary
stableService: rollouts-demo-stable
trafficRouting:
nginx:
stableIngress: rollouts-demo-stable
steps:
- setWeight: 50
- pause: {}
revisionHistoryLimit: 2
selector:
matchLabels:
app: rollouts-demo
template:
metadata:
labels:
app: rollouts-demo
spec:
containers:
- name: rollouts-demo
image: argoproj/rollouts-demo:blue
ports:
- name: http
containerPort: 8080
protocol: TCP
resources:
requests:
memory: 32Mi
cpu: 5m
services.yaml
apiVersion: v1
kind: Service
metadata:
name: rollouts-demo-canary
spec:
ports:
- port: 80
targetPort: http
protocol: TCP
name: http
selector:
app: rollouts-demoThis selector will be updated with the pod-template-hash of the canary ReplicaSet. e.g.:
rollouts-pod-template-hash: 7bf84f9696
apiVersion: v1
kind: Service
metadata:
name: rollouts-demo-stable
spec:
ports:
- port: 80
targetPort: http
protocol: TCP
name: http
selector:
app: rollouts-demoThis selector will be updated with the pod-template-hash of the stable ReplicaSet. e.g.:
rollouts-pod-template-hash: 789746c88d
ingress.yaml
apiVersion: networking.k8s.io/v1beta1
kind: Ingress
metadata:
name: rollouts-demo-stable
annotations:
kubernetes.io/ingress.class: nginx
spec:
rules:
host: rollouts-demo.local
http:
paths:path: /
backend:Reference to a Service name, also specified in the Rollout spec.strategy.canary.stableService field
serviceName: rollouts-demo-stable
servicePort: 80
从配置文件可以看出Rollout里分别用canaryService
和stableService
分别定义了该应用灰度的Service Name(rollouts-demo-canary)和当前版本的Service Name(rollouts-demo-stable)。而且rollouts-demo-canary 和 rollouts-demo-stable的service的内容是一样的。selector中暂时没有填上pod-template-hash,Argo-Rollout Controller会根据实际的ReplicaSet hash来修改该值。
当我们创建完ingress后,Rollout Controller会根据ingress
rollouts-demo-stable内容,自动创建一个ingress
用了灰度的流量,名字为--canary,所以这里多了一个ingress
rollouts-demo-rollouts-demo-stable-canary,将流量导向Canary Service
(rollouts-demo-canary)。如下:
# kubectl get ingress
NAME HOSTS ADDRESS PORTS AGE
rollouts-demo-rollouts-demo-stable-canary rollout-demo.coolops.cn 80 9m25s
rollouts-demo-stable rollout-demo.coolops.cn 80 4m12s
rollouts-demo-rollouts-demo-stable-canary的内容如下:
# kubectl get ingress rollouts-demo-rollouts-demo-stable-canary -o yaml
apiVersion: extensions/v1beta1
kind: Ingress
metadata:
annotations:
kubernetes.io/ingress.class: traefik
nginx.ingress.kubernetes.io/canary: "true"
nginx.ingress.kubernetes.io/canary-weight: "0"
creationTimestamp: "2020-12-09T02:21:52Z"
generation: 2
name: rollouts-demo-rollouts-demo-stable-canary
namespace: default
ownerReferences:
apiVersion: argoproj.io/v1alpha1
blockOwnerDeletion: true
controller: true
kind: Rollout
name: rollouts-demo
uid: 4e74913b-5c89-4275-8f4c-768f23c63c34
resourceVersion: "15681411"
selfLink: /apis/extensions/v1beta1/namespaces/default/ingresses/rollouts-demo-rollouts-demo-stable-canary
uid: bc66dfc4-6e98-419b-a288-f67e1233ef3e
spec:
rules:
host: rollout-demo.coolops.cn
http:
paths:
backend:
serviceName: rollouts-demo-canary
servicePort: 80
path: /
通过域名访问,可以看到如下界面。
image.png
更新应用
现在通过以下命令来进行应用更新操作。
kubectl argo rollouts set image rollouts-demo rollouts-demo=argoproj/rollouts-demo:yellow
然后通过状态窗口可以看到如下信息。
Name: rollouts-demo
Namespace: default
Status: ॥ Paused
Message: CanaryPauseStep
Strategy: Canary
Step: 1/2
SetWeight: 50
ActualWeight: 50
Images: argoproj/rollouts-demo:blue (stable)
argoproj/rollouts-demo:yellow (canary)
Replicas:
Desired: 1
Current: 2
Updated: 1
Ready: 2
Available: 2
NAME KIND STATUS AGE INFO
⟳ rollouts-demo Rollout ॥ Paused 2m13s
├──# revision:2
│ └──⧉ rollouts-demo-789746c88d ReplicaSet ✔ Healthy 89s canary
│ └──□ rollouts-demo-789746c88d-spn4s Pod ✔ Running 89s ready:1/1
└──# revision:1
└──⧉ rollouts-demo-7bf84f9696 ReplicaSet ✔ Healthy 2m stable
└──□ rollouts-demo-7bf84f9696-7rwkx Pod ✔ Running 2m ready:1/1
然后可以看到rollouts-demo-rollouts-demo-stable-canary
的ingress的annotations中新增了两个参数,如下:
# kubectl get ingress rollouts-demo-rollouts-demo-stable-canary -o yaml
apiVersion: extensions/v1beta1
kind: Ingress
metadata:
annotations:
kubernetes.io/ingress.class: nginx
nginx.ingress.kubernetes.io/canary: "true"
nginx.ingress.kubernetes.io/canary-weight: "50"
creationTimestamp: "2020-12-09T03:01:04Z"
generation: 1
name: rollouts-demo-rollouts-demo-stable-canary
namespace: default
ownerReferences:
- apiVersion: argoproj.io/v1alpha1
blockOwnerDeletion: true
controller: true
kind: Rollout
name: rollouts-demo
uid: 4d956f2a-9e15-4453-b918-926c4a75f884
resourceVersion: "15686969"
selfLink: /apis/extensions/v1beta1/namespaces/default/ingresses/rollouts-demo-rollouts-demo-stable-canary
uid: c9242819-d088-4fc4-bd4d-8870360fa96e
spec:
rules: host: rollout-demo.coolops.cn
http:
paths:backend:
serviceName: rollouts-demo-canary
servicePort: 80
path: /
然后通过网页,可以看到如下的输出展示。
image.png
然后可以通过验证结果来判断是否继续还是终止。
如果继续使用如下命令:
kubectl argo rollouts promote rollouts-demo
如果终止使用如下命令:
kubectl argo rollouts abort rollouts-demo
写在最后
目前我还在测试阶段,并没有实际接入使用。通过测试来看,Argo-Rollout提供更加强大的Deployment,包含比较适合运维的金丝雀发布和蓝绿发布功能,要使用蓝绿发布,仅需要配置rollout,如下:
apiVersion: argoproj.io/v1alpha1
kind: Rollout ##部署完rollout后就有了这个kind 资源,这个资源和deployment类似也是管理你的副本集的,所以不能像deployment那样在k8s界面看见,只能通过kubectl命令行
metadata:
name: rollout-bluegreen
namespace: rollout-test
spec:
template:
spec:
terminationGracePeriodSeconds: 30
containers:
resources: #{}
requests:
cpu: "1"
memory: "2Gi"
limits:
cpu: "2"
memory: "2Gi"
terminationMessagePolicy: File
imagePullPolicy: Always
name: rollout-bluegreen
image: argoproj/rollouts-demo:green #nginx:1.17.1
schedulerName: default-scheduler
securityContext: {}
dnsPolicy: ClusterFirst
restartPolicy: Always
metadata:
labels:
app: rollout-bluegreen
selector:
matchLabels:
app: rollout-bluegreen
replicas: 2
strategy:
blueGreen: ##蓝绿启用配置
activeService: rollout-bluegreen-active #生效的服务,需要自己创建建本代码最下面service资源。
previewService: rollout-bluegreen-preview #配置预览服务,同理需要自己创建
autoPromotionEnabled: true ##是否直接切换,如为true,会在新版本变绿后直接切换到对外服务。
scaleDownDelayRevisionLimit: 0
previewReplicaCount: 1 #新版本的pod数量,设为一个从而控制资源消耗
rollingUpdate:
maxUnavailable: 25%
maxSurge: 25%
type: RollingUpdate
revisionHistoryLimit: 2
progressDeadlineSeconds: 600
apiVersion: v1
kind: Service
metadata:
name: rollout-bluegreen-active
namespace: rollout-test
spec:
sessionAffinity: None
selector:
app: rollout-bluegreen
ports:
protocol: TCP
port: 80
targetPort: 8080
type: LoadBalancer
整体使用还是比较丝滑,如果测试通过后续考虑集成进CD中。更多内容可以到https://argoproj.github.io/argo-rollouts/进行学习。