Kubernetes HPA控制器

一、pod扩容

1.1、pod自动升缩

根据当前pod的负载，动态调整 pod副本数量，业务高峰期自动扩容pod的副本数以尽快响应pod的请求。
在业务低峰期对pod进行缩容，实现降本增效的目的。
公有云支持node级别的弹性伸缩。

1.2、手动调整pod副本数

[root@easzlab-deploy ~]# kubectl get pod -n magedu
NAME                                         READY   STATUS    RESTARTS   AGE
magedu-jenkins-deployment-79bbd88cb7-84999   1/1     Running   0          47h
[root@easzlab-deploy ~]# 
[root@easzlab-deploy ~]# kubectl --help |grep scale #查看命令帮助
  scale           Set a new size for a deployment, replica set, or replication controller
  autoscale       Auto-scale a deployment, replica set, stateful set, or replication controller
[root@easzlab-deploy ~]#
[root@easzlab-deploy ~]# kubectl get deployment -n magedu
NAME                        READY   UP-TO-DATE   AVAILABLE   AGE
magedu-jenkins-deployment   1/1     1            1           47h
[root@easzlab-deploy ~]#
[root@easzlab-deploy ~]# kubectl scale deployment magedu-jenkins-deployment --replicas=2 -n magedu
deployment.apps/magedu-jenkins-deployment scaled
[root@easzlab-deploy ~]#
[root@easzlab-deploy ~]# kubectl get deployment -n magedu
NAME                        READY   UP-TO-DATE   AVAILABLE   AGE
magedu-jenkins-deployment   1/2     2            1           47h
[root@easzlab-deploy ~]# kubectl get deployment -n magedu
NAME                        READY   UP-TO-DATE   AVAILABLE   AGE
magedu-jenkins-deployment   2/2     2            2           47h
[root@easzlab-deploy ~]# 
[root@easzlab-deploy ~]# kubectl get pod -n magedu -owide
NAME                                         READY   STATUS    RESTARTS   AGE   IP               NODE            NOMINATED NODE   READINESS GATES
magedu-jenkins-deployment-79bbd88cb7-84999   1/1     Running   0          47h   10.200.104.250   172.16.88.163   <none>           <none>
magedu-jenkins-deployment-79bbd88cb7-pmd9z   1/1     Running   0          92s   10.200.105.177   172.16.88.164   <none>           <none>
[root@easzlab-deploy ~]#

1.3、动态伸缩控制器类型

水平pod自动缩放器(HPA)：

基于pod 资源利用率横向调整pod副本数量。

垂直pod自动缩放器(VPA)：

基于pod资源利用率，调整对单个pod的最大资源限制，不能与HPA同时使用。

集群伸缩(Cluster Autoscaler,CA)

基于集群中node 资源使用情况，动态伸缩node节点，从而保证有CPU和内存资源用于创建pod。

二、HPA控制器

2.1、HPA控制器简介

Horizontal Pod Autoscaling (HPA)控制器，根据预定义好的阈值及pod当前的资源利用率，自动控制在k8s集群中运行的pod数量(自动弹性水平自动伸缩).
--horizontal-pod-autoscaler-sync-period #默认每隔15s(可以通过– horizontal-pod-autoscaler-sync-period修改)查询metrics的资源使用情况。
--horizontal-pod-autoscaler-downscale-stabilization #缩容间隔周期，默认5分钟。
--horizontal-pod-autoscaler-sync-period #HPA控制器同步pod副本数的间隔周期
--horizontal-pod-autoscaler-cpu-initialization-period #初始化延迟时间，在此时间内 pod的CPU 资源指标将不会生效，默认为5分钟。
--horizontal-pod-autoscaler-initial-readiness-delay #用于设置 pod 准备时间，在此时间内的 pod 统统被认为未就绪及不采集数据,默认为30秒。
--horizontal-pod-autoscaler-tolerance #HPA控制器能容忍的数据差异(浮点数，默认为0.1)，即新的指标要与当前的阈值差异在0.1或以上,即要大于1+0.1=1.1，或小于1-0.1=0.9，比如阈值为CPU利用率50%,当前为80%,那么80/50=1.6 > 1.1则会触发扩容，反之会缩容。即触发条件： avg(CurrentPodsConsumption) / Target >1.1 或 <0.9=把N个pod的数据相加后根据pod的数量计算出平均数除以阈值,大于1.1就扩容，小于0.9就缩容。
计算公式： TargetNumOfPods = ceil(sum(CurrentPodsCPUUtilization) / Target) #ceil是一个向上取整的目的pod整数。
指标数据需要部署metrics-server，即HPA使用metrics-server作为数据源。
https://github.com/kubernetes-sigs/metrics-server
在k8s 1.1引入HPA控制器，早期使用Heapster组件采集pod指标数据，在k8s 1.11版本开始使用Metrices Server完成数据采集，然后将采集到的数据通过API（Aggregated API，汇总API），例如metrics.k8s.io、 custom.metrics.k8s.io、 external.metrics.k8s.io，然后再把数据提供给HPA控制器进行查询，以实现基于某个资源利用率对pod进行扩缩容的目的。

2.2、metrics-server 部署

Metrics Server 是 Kubernetes 内置的容器资源指标来源。
Metrics Server 从node节点上的 Kubelet 收集资源指标,并通过Metrics API在 Kubernetes apiserver 中公开指标数据,以供Horizontal Pod Autoscaler和Vertical Pod Autoscaler使用,也可以通过访问kubectl top node/pod 查看指标数据。

[root@easzlab-deploy kube-state-metrics]# wget https://github.com/kubernetes-sigs/metrics-server/releases/download/metrics-server-helm-chart-3.8.2/components.yaml
[root@easzlab-deploy kube-state-metrics]# kubectl apply -f components.yaml
[root@easzlab-deploy kube-state-metrics]# kubectl get pod -A |grep metrics
kube-system            metrics-server-686ff776cf-dbgq6                     1/1     Running   4 (5d16h ago)   6d16h
kubernetes-dashboard   dashboard-metrics-scraper-8c47d4b5d-5cxhb           1/1     Running   2 (5d16h ago)   6d18h
[root@easzlab-deploy kube-state-metrics]# 
[root@easzlab-deploy kube-state-metrics]# kubectl top node
NAME            CPU(cores)   CPU%   MEMORY(bytes)   MEMORY%   
172.16.88.157   311m         15%    1825Mi          50%       
172.16.88.158   341m         17%    1835Mi          50%       
172.16.88.159   295m         14%    1689Mi          46%       
172.16.88.160   242m         6%     1543Mi          20%       
172.16.88.161   291m         7%     2164Mi          28%       
172.16.88.162   329m         8%     1549Mi          20%       
172.16.88.163   298m         7%     2087Mi          27%       
172.16.88.164   352m         8%     2110Mi          27%       
172.16.88.165   316m         7%     1677Mi          21%       
[root@easzlab-deploy kube-state-metrics]# kubectl top pod -n magedu
NAME                                         CPU(cores)   MEMORY(bytes)   
magedu-jenkins-deployment-79bbd88cb7-84999   4m           521Mi           
magedu-jenkins-deployment-79bbd88cb7-pmd9z   4m           280Mi           
[root@easzlab-deploy kube-state-metrics]#

2.3、HPA控制器配置简要说明

apiVersion: autoscaling/v2beta1 #定义API版本
kind: HorizontalPodAutoscaler #对象类型
metadata: #定义对象元数据
namespace: linux36 #创建后隶属的namespace
name: linux36-tomcat-app1-podautoscaler #对象名称
labels: 这样的label标签
app: linux36-tomcat-app1 #自定义的label名称
version: v2beta1 #自定义的api版本
spec: #定义对象具体信息
scaleTargetRef: #定义水平伸缩的目标对象， Deployment、 ReplicationController/ReplicaSet
apiVersion: apps/v1
#API版本， HorizontalPodAutoscaler.spec.scaleTargetRef.apiVersion
kind: Deployment #目标对象类型为deployment
name: linux36-tomcat-app1-deployment #deployment 的具体名称
minReplicas: 2 #最小pod数
maxReplicas: 5 #最大pod数
metrics: #调用metrics数据定义
- type: Resource #类型为资源
resource: #定义资源
name: cpu #资源名称为cpu
targetAverageUtilization: 80 #CPU使用率
- type: Resource #类型为资源
resource: #定义资源
name: memory #资源名称为memory
targetAverageValue: 1024Mi #memory使用率

2.4、web服务与HPA控制器部署

创建tomcat部署文件

[root@easzlab-deploy tomcat-app1]# vi tomcat-app1.yaml 
[root@easzlab-deploy tomcat-app1]# cat  tomcat-app1.yaml 
kind: Deployment
#apiVersion: extensions/v1beta1
apiVersion: apps/v1
metadata:
  labels:
    app: magedu-tomcat-app1-deployment-label
  name: magedu-tomcat-app1-deployment
  namespace: magedu
spec:
  replicas: 5
  selector:
    matchLabels:
      app: magedu-tomcat-app1-selector
  template:
    metadata:
      labels:
        app: magedu-tomcat-app1-selector
    spec:
      containers:
      - name: magedu-tomcat-app1-container
        image: harbor.magedu.net/app2/tomcat-app1:v1
        #command: ["/apps/tomcat/bin/run_tomcat.sh"]
        imagePullPolicy: IfNotPresent
        #imagePullPolicy: Always
        ports:
        - containerPort: 8080
          protocol: TCP
          name: http
        env:
        - name: "password"
          value: "123456"
        - name: "age"
          value: "18"
        resources:
          limits:
            cpu: 1
            memory: "512Mi"
          requests:
            cpu: 500m
            memory: "512Mi"
        volumeMounts:
        - name: magedu-images
          mountPath: /usr/local/nginx/html/webapp/images
          readOnly: false
        - name: magedu-static
          mountPath: /usr/local/nginx/html/webapp/static
          readOnly: false
      volumes:
      - name: magedu-images
        nfs:
          server: 172.16.88.169
          path: /data/k8sdata/magedu/images
      - name: magedu-static
        nfs:
          server: 172.16.88.169
          path: /data/k8sdata/magedu/static
#      nodeSelector:
#        project: magedu
#        app: tomcat
---
kind: Service
apiVersion: v1
metadata:
  labels:
    app: magedu-tomcat-app1-service-label
  name: magedu-tomcat-app1-service
  namespace: magedu
spec:
  type: NodePort
  ports:
  - name: http
    port: 80
    protocol: TCP
    targetPort: 8080
    nodePort: 30092
  selector:
    app: magedu-tomcat-app1-selector
[root@easzlab-deploy tomcat-app1]#

部署业务镜像

[root@easzlab-deploy tomcat-app1]# kubectl apply -f tomcat-app1.yaml 
deployment.apps/magedu-tomcat-app1-deployment created
service/magedu-tomcat-app1-service created
[root@easzlab-deploy tomcat-app1]# vi hpa.yaml 
[root@easzlab-deploy tomcat-app1]# cat hpa.yaml 
#apiVersion: autoscaling/v2beta1
apiVersion: autoscaling/v1 
kind: HorizontalPodAutoscaler
metadata:
  namespace: magedu
  name: magedu-tomcat-app1-podautoscaler
  labels:
    app: magedu-tomcat-app1
    version: v2beta1
spec:
  scaleTargetRef:
    apiVersion: apps/v1
    #apiVersion: extensions/v1beta1 
    kind: Deployment
    name: magedu-tomcat-app1-deployment 
  minReplicas: 2
  maxReplicas: 20
  targetCPUUtilizationPercentage: 60
  #metrics:
  #- type: Resource
  #  resource:
  #    name: cpu
  #    targetAverageUtilization: 60
  #- type: Resource
  #  resource:
  #    name: memory

[root@easzlab-deploy tomcat-app1]# kubectl apply -f hpa.yaml 
horizontalpodautoscaler.autoscaling/magedu-tomcat-app1-podautoscaler created
[root@easzlab-deploy tomcat-app1]#
[root@easzlab-deploy tomcat-app1]# kubectl describe hpa magedu-tomcat-app1-podautoscaler -n magedu
Warning: autoscaling/v2beta2 HorizontalPodAutoscaler is deprecated in v1.23+, unavailable in v1.26+; use autoscaling/v2 HorizontalPodAutoscaler
Name:                                                  magedu-tomcat-app1-podautoscaler
Namespace:                                             magedu
Labels:                                                app=magedu-tomcat-app1
                                                       version=v2beta1
Annotations:                                           <none>
CreationTimestamp:                                     Tue, 25 Oct 2022 17:36:34 +0800
Reference:                                             Deployment/magedu-tomcat-app1-deployment
Metrics:                                               ( current / target )
  resource cpu on pods  (as a percentage of request):  0% (4m) / 60%
Min replicas:                                          2
Max replicas:                                          20
Deployment pods:                                       5 current / 5 desired
Conditions:
  Type            Status  Reason               Message
  ----            ------  ------               -------
  AbleToScale     True    ScaleDownStabilized  recent recommendations were higher than current one, applying the highest recent recommendation
  ScalingActive   True    ValidMetricFound     the HPA was able to successfully calculate a replica count from cpu resource utilization (percentage of request)
  ScalingLimited  False   DesiredWithinRange   the desired count is within the acceptable range
Events:           <none>
[root@easzlab-deploy tomcat-app1]# kubectl get hpa -n magedu
NAME                               REFERENCE                                  TARGETS   MINPODS   MAXPODS   REPLICAS   AGE
magedu-tomcat-app1-podautoscaler   Deployment/magedu-tomcat-app1-deployment   0%/60%    2         20        5          28s
[root@easzlab-deploy tomcat-app1]#

三、HPA控制器弹性伸缩测试

3.1、自动缩容

[root@easzlab-deploy tomcat-app1]# kubectl describe deployments.apps magedu-tomcat-app1-deployment -n magedu
Name:                   magedu-tomcat-app1-deployment
Namespace:              magedu
CreationTimestamp:      Tue, 25 Oct 2022 17:35:54 +0800
Labels:                 app=magedu-tomcat-app1-deployment-label
Annotations:            deployment.kubernetes.io/revision: 1
Selector:               app=magedu-tomcat-app1-selector
Replicas:               5 desired | 5 updated | 5 total | 5 available | 0 unavailable
StrategyType:           RollingUpdate
MinReadySeconds:        0
RollingUpdateStrategy:  25% max unavailable, 25% max surge
Pod Template:
  Labels:  app=magedu-tomcat-app1-selector
  Containers:
   magedu-tomcat-app1-container:
    Image:      harbor.magedu.net/app2/tomcat-app1:v1
    Port:       8080/TCP
    Host Port:  0/TCP
    Limits:
      cpu:     1
      memory:  512Mi
    Requests:
      cpu:     500m
      memory:  512Mi
    Environment:
      password:  123456
      age:       18
    Mounts:
      /usr/local/nginx/html/webapp/images from magedu-images (rw)
      /usr/local/nginx/html/webapp/static from magedu-static (rw)
  Volumes:
   magedu-images:
    Type:      NFS (an NFS mount that lasts the lifetime of a pod)
    Server:    172.16.88.169
    Path:      /data/k8sdata/magedu/images
    ReadOnly:  false
   magedu-static:
    Type:      NFS (an NFS mount that lasts the lifetime of a pod)
    Server:    172.16.88.169
    Path:      /data/k8sdata/magedu/static
    ReadOnly:  false
Conditions:
  Type           Status  Reason
  ----           ------  ------
  Available      True    MinimumReplicasAvailable
  Progressing    True    NewReplicaSetAvailable
OldReplicaSets:  <none>
NewReplicaSet:   magedu-tomcat-app1-deployment-8545c4bd5d (5/5 replicas created)
Events:
  Type    Reason             Age    From                   Message
  ----    ------             ----   ----                   -------
  Normal  ScalingReplicaSet  2m41s  deployment-controller  Scaled up replica set magedu-tomcat-app1-deployment-8545c4bd5d to 5
[root@easzlab-deploy tomcat-app1]#

经观察，五分钟之后会自动缩容

describe deployment 可以看到详细过程

[root@easzlab-deploy RBAC]# kubectl describe deployment -n magedu  magedu-tomcat-app1-deployment
Name:                   magedu-tomcat-app1-deployment
Namespace:              magedu
CreationTimestamp:      Tue, 25 Oct 2022 17:35:54 +0800
Labels:                 app=magedu-tomcat-app1-deployment-label
Annotations:            deployment.kubernetes.io/revision: 1
Selector:               app=magedu-tomcat-app1-selector
Replicas:               2 desired | 2 updated | 2 total | 2 available | 0 unavailable
StrategyType:           RollingUpdate
MinReadySeconds:        0
RollingUpdateStrategy:  25% max unavailable, 25% max surge
Pod Template:
  Labels:  app=magedu-tomcat-app1-selector
  Containers:
   magedu-tomcat-app1-container:
    Image:      harbor.magedu.net/app2/tomcat-app1:v1
    Port:       8080/TCP
    Host Port:  0/TCP
    Limits:
      cpu:     1
      memory:  512Mi
    Requests:
      cpu:     500m
      memory:  512Mi
    Environment:
      password:  123456
      age:       18
    Mounts:
      /usr/local/nginx/html/webapp/images from magedu-images (rw)
      /usr/local/nginx/html/webapp/static from magedu-static (rw)
  Volumes:
   magedu-images:
    Type:      NFS (an NFS mount that lasts the lifetime of a pod)
    Server:    172.16.88.169
    Path:      /data/k8sdata/magedu/images
    ReadOnly:  false
   magedu-static:
    Type:      NFS (an NFS mount that lasts the lifetime of a pod)
    Server:    172.16.88.169
    Path:      /data/k8sdata/magedu/static
    ReadOnly:  false
Conditions:
  Type           Status  Reason
  ----           ------  ------
  Progressing    True    NewReplicaSetAvailable
  Available      True    MinimumReplicasAvailable
OldReplicaSets:  <none>
NewReplicaSet:   magedu-tomcat-app1-deployment-8545c4bd5d (2/2 replicas created)
Events:
  Type    Reason             Age                  From                   Message
  ----    ------             ----                 ----                   -------
  Normal  ScalingReplicaSet  10m (x2 over 70m)    deployment-controller  Scaled up replica set magedu-tomcat-app1-deployment-8545c4bd5d to 5
  Normal  ScalingReplicaSet  5m14s (x2 over 64m)  deployment-controller  Scaled down replica set magedu-tomcat-app1-deployment-8545c4bd5d to 2
[root@easzlab-deploy RBAC]#

3.2、自动扩容

[root@easzlab-deploy tomcat-app1]# vi tomcat-app1.yaml 
[root@easzlab-deploy tomcat-app1]# cat tomcat-app1.yaml 
kind: Deployment
#apiVersion: extensions/v1beta1
apiVersion: apps/v1
metadata:
  labels:
    app: magedu-tomcat-app1-deployment-label
  name: magedu-tomcat-app1-deployment
  namespace: magedu
spec:
  replicas: 2
  selector:
    matchLabels:
      app: magedu-tomcat-app1-selector
  template:
    metadata:
      labels:
        app: magedu-tomcat-app1-selector
    spec:
      containers:
      - name: magedu-tomcat-app1-container
        #image: harbor.magedu.net/app2/tomcat-app1:v1
        image: lorel/docker-stress-ng
        args: ["--vm","2","--vm-bytes","256M"] 
        #command: ["/apps/tomcat/bin/run_tomcat.sh"]
        imagePullPolicy: IfNotPresent
        #imagePullPolicy: Always
        ports:
        - containerPort: 8080
          protocol: TCP
          name: http
        env:
        - name: "password"
          value: "123456"
        - name: "age"
          value: "18"
        resources:
          limits:
            cpu: 1
            memory: "512Mi"
          requests:
            cpu: 500m
            memory: "512Mi"
        volumeMounts:
        - name: magedu-images
          mountPath: /usr/local/nginx/html/webapp/images
          readOnly: false
        - name: magedu-static
          mountPath: /usr/local/nginx/html/webapp/static
          readOnly: false
      volumes:
      - name: magedu-images
        nfs:
          server: 172.16.88.169
          path: /data/k8sdata/magedu/images
      - name: magedu-static
        nfs:
          server: 172.16.88.169
          path: /data/k8sdata/magedu/static
#      nodeSelector:
#        project: magedu
#        app: tomcat
---
kind: Service
apiVersion: v1
metadata:
  labels:
    app: magedu-tomcat-app1-service-label
  name: magedu-tomcat-app1-service
  namespace: magedu
spec:
  type: NodePort
  ports:
  - name: http
    port: 80
    protocol: TCP
    targetPort: 8080
    nodePort: 30092
  selector:
    app: magedu-tomcat-app1-selector
[root@easzlab-deploy tomcat-app1]#

重新部署加载

[root@easzlab-deploy tomcat-app1]# vi hpa.yaml 
[root@easzlab-deploy tomcat-app1]# 
[root@easzlab-deploy tomcat-app1]# cat hpa.yaml 
#apiVersion: autoscaling/v2beta1
apiVersion: autoscaling/v1 
kind: HorizontalPodAutoscaler
metadata:
  namespace: magedu
  name: magedu-tomcat-app1-podautoscaler
  labels:
    app: magedu-tomcat-app1
    version: v2beta1
spec:
  scaleTargetRef:
    apiVersion: apps/v1
    #apiVersion: extensions/v1beta1 
    kind: Deployment
    name: magedu-tomcat-app1-deployment 
  minReplicas: 3
  maxReplicas: 10
  targetCPUUtilizationPercentage: 60
  #metrics:
  #- type: Resource
  #  resource:
  #    name: cpu
  #    targetAverageUtilization: 60
  #- type: Resource
  #  resource:
  #    name: memory
[root@easzlab-deploy tomcat-app1]# kubectl delete -f tomcat-app1.yaml
[root@easzlab-deploy tomcat-app1]# kubectl get pod -n magedu
NAME READY STATUS RESTARTS AGE
magedu-jenkins-deployment-79bbd88cb7-84999 1/1 Running 0 2d4h
magedu-jenkins-deployment-79bbd88cb7-pmd9z 1/1 Running 0 4h39m
[root@easzlab-deploy tomcat-app1]#
[root@easzlab-deploy tomcat-app1]# kubectl apply -f tomcat-app1.yaml 
deployment.apps/magedu-tomcat-app1-deployment created
service/magedu-tomcat-app1-service created
[root@easzlab-deploy tomcat-app1]# kubectl apply -f hpa.yaml 
horizontalpodautoscaler.autoscaling/magedu-tomcat-app1-podautoscaler created
[root@easzlab-deploy tomcat-app1]#

验证自动扩容

[root@easzlab-deploy tomcat-app1]# kubectl describe deployment -n magedu  magedu-tomcat-app1-deployment
Name:                   magedu-tomcat-app1-deployment
Namespace:              magedu
CreationTimestamp:      Tue, 25 Oct 2022 19:07:41 +0800
Labels:                 app=magedu-tomcat-app1-deployment-label
Annotations:            deployment.kubernetes.io/revision: 1
Selector:               app=magedu-tomcat-app1-selector
Replicas:               10 desired | 10 updated | 10 total | 10 available | 0 unavailable
StrategyType:           RollingUpdate
MinReadySeconds:        0
RollingUpdateStrategy:  25% max unavailable, 25% max surge
Pod Template:
  Labels:  app=magedu-tomcat-app1-selector
  Containers:
   magedu-tomcat-app1-container:
    Image:      lorel/docker-stress-ng
    Port:       8080/TCP
    Host Port:  0/TCP
    Args:
      --vm
      2
      --vm-bytes
      256M
    Limits:
      cpu:     1
      memory:  512Mi
    Requests:
      cpu:     500m
      memory:  512Mi
    Environment:
      password:  123456
      age:       18
    Mounts:
      /usr/local/nginx/html/webapp/images from magedu-images (rw)
      /usr/local/nginx/html/webapp/static from magedu-static (rw)
  Volumes:
   magedu-images:
    Type:      NFS (an NFS mount that lasts the lifetime of a pod)
    Server:    172.16.88.169
    Path:      /data/k8sdata/magedu/images
    ReadOnly:  false
   magedu-static:
    Type:      NFS (an NFS mount that lasts the lifetime of a pod)
    Server:    172.16.88.169
    Path:      /data/k8sdata/magedu/static
    ReadOnly:  false
Conditions:
  Type           Status  Reason
  ----           ------  ------
  Progressing    True    NewReplicaSetAvailable
  Available      True    MinimumReplicasAvailable
OldReplicaSets:  <none>
NewReplicaSet:   magedu-tomcat-app1-deployment-7dd7df4f4d (10/10 replicas created)
Events:
  Type    Reason             Age    From                   Message
  ----    ------             ----   ----                   -------
  Normal  ScalingReplicaSet  3m56s  deployment-controller  Scaled up replica set magedu-tomcat-app1-deployment-7dd7df4f4d to 2
  Normal  ScalingReplicaSet  3m33s  deployment-controller  Scaled up replica set magedu-tomcat-app1-deployment-7dd7df4f4d to 3
  Normal  ScalingReplicaSet  3m18s  deployment-controller  Scaled up replica set magedu-tomcat-app1-deployment-7dd7df4f4d to 4
  Normal  ScalingReplicaSet  3m2s   deployment-controller  Scaled up replica set magedu-tomcat-app1-deployment-7dd7df4f4d to 7
  Normal  ScalingReplicaSet  2m32s  deployment-controller  Scaled up replica set magedu-tomcat-app1-deployment-7dd7df4f4d to 10
[root@easzlab-deploy tomcat-app1]#

posted @ 2022-10-25 15:42 cyh00001 阅读(116) 评论(0) 编辑收藏举报

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