VPA 簡介
VPA 全稱 Vertical Pod Autoscaler,即垂直 Pod 自動擴縮容,它根據(jù)容器資源使用率自動設(shè)置 CPU 和 內(nèi)存 的requests,從而允許在節(jié)點上進行適當?shù)恼{(diào)度,以便為每個 Pod 提供適當?shù)馁Y源。
它既可以縮小過度請求資源的容器,也可以根據(jù)其使用情況隨時提升資源不足的容量。
PS: VPA不會改變Pod的資源limits值。
廢話不多說,直接上圖,看VPA工作流程

接下來開始實戰(zhàn)
部署metrics-server
1、下載部署清單文件
wget https://github.com/kubernetes-sigs/metrics-server/releases/download/v0.3.7/components.yaml
2、修改components.yaml文件
- 修改了鏡像地址,gcr.io為我自己的倉庫
- 修改了metrics-server啟動參數(shù)args,要不然會報錯
unable to fully scrape metrics from source kubelet_summary...
- name: metrics-server
image: scofield/metrics-server:v0.3.7
imagePullPolicy: IfNotPresent
args:
- --cert-dir=/tmp
- --secure-port=4443
- /metrics-server
- --kubelet-insecure-tls
- --kubelet-preferred-address-types=InternalIP
3、執(zhí)行部署
kubectl apply -f components.yaml
4、驗證
[root@k8s-node001 metrics-server]# kubectl get po -n kube-system
NAME READY STATUS RESTARTS AGE
metrics-server-7947cb98b6-xw6b8 1/1 Running 0 10m
能獲取要top信息視為成功
[root@k8s-node001 metrics-server]# kubectl top nodes
NAME CPU(cores) CPU% MEMORY(bytes) MEMORY%
k8s-node001 618m 7% 4796Mi 15%
k8s-node003 551m 6% 5522Mi 17%
k8s-node004 308m 3% 5830Mi 18%
k8s-node005 526m 6% 5997Mi 38%
k8s-node002 591m 7% 5306Mi 33%
部署vertical-pod-autoscaler
1、克隆autoscaler項目
git clone https://github.com/kubernetes/autoscaler.git
2、修改部署文件,將gcr倉庫該為我自己的倉庫
admission-controller-deployment.yaml
us.gcr.io/k8s-artifacts-prod/autoscaling/vpa-admission-controller:0.8.0
改為
scofield/vpa-admission-controller:0.8.0
recommender-deployment.yaml
us.gcr.io/k8s-artifacts-prod/autoscaling/vpa-recommender:0.8.0
改為
image: scofield/vpa-recommender:0.8.0
updater-deployment.yaml
us.gcr.io/k8s-artifacts-prod/autoscaling/vpa-updater:0.8.0
改為
scofield/vpa-updater:0.8.0
3、部署
[root@k8s-node001 vertical-pod-autoscaler]# cd autoscaler/vertical-pod-autoscaler
[root@k8s-node001 vertical-pod-autoscaler]# ./hack/vpa-up.sh
Warning: apiextensions.k8s.io/v1beta1 CustomResourceDefinition is deprecated in v1.16+, unavailable in v1.22+; use apiextensions.k8s.io/v1 CustomResourceDefinition
customresourcedefinition.apiextensions.k8s.io/verticalpodautoscalers.autoscaling.k8s.io created
customresourcedefinition.apiextensions.k8s.io/verticalpodautoscalercheckpoints.autoscaling.k8s.io created
clusterrole.rbac.authorization.k8s.io/system:metrics-reader created
clusterrole.rbac.authorization.k8s.io/system:vpa-actor created
clusterrole.rbac.authorization.k8s.io/system:vpa-checkpoint-actor created
clusterrole.rbac.authorization.k8s.io/system:evictioner created
clusterrolebinding.rbac.authorization.k8s.io/system:metrics-reader created
clusterrolebinding.rbac.authorization.k8s.io/system:vpa-actor created
clusterrolebinding.rbac.authorization.k8s.io/system:vpa-checkpoint-actor created
clusterrole.rbac.authorization.k8s.io/system:vpa-target-reader created
clusterrolebinding.rbac.authorization.k8s.io/system:vpa-target-reader-binding created
clusterrolebinding.rbac.authorization.k8s.io/system:vpa-evictionter-binding created
serviceaccount/vpa-admission-controller created
clusterrole.rbac.authorization.k8s.io/system:vpa-admission-controller created
clusterrolebinding.rbac.authorization.k8s.io/system:vpa-admission-controller created
clusterrole.rbac.authorization.k8s.io/system:vpa-status-reader created
clusterrolebinding.rbac.authorization.k8s.io/system:vpa-status-reader-binding created
serviceaccount/vpa-updater created
deployment.apps/vpa-updater created
serviceaccount/vpa-recommender created
deployment.apps/vpa-recommender created
Generating certs for the VPA Admission Controller in /tmp/vpa-certs.
Generating RSA private key, 2048 bit long modulus (2 primes)
............................................................................+++++
.+++++
e is 65537 (0x010001)
Generating RSA private key, 2048 bit long modulus (2 primes)
............+++++
...........................................................................+++++
e is 65537 (0x010001)
Signature ok
subject=CN = vpa-webhook.kube-system.svc
Getting CA Private Key
Uploading certs to the cluster.
secret/vpa-tls-certs created
Deleting /tmp/vpa-certs.
deployment.apps/vpa-admission-controller created
service/vpa-webhook created
4、查看結(jié)果,可以看到metrics-server和vpa都已經(jīng)正常運行了
[root@k8s-node001 autoscaler-master]# kubectl get po -n kube-system
NAME READY STATUS RESTARTS AGE
metrics-server-7947cb98b6-xw6b8 1/1 Running 0 46m
vpa-admission-controller-7d87559549-g77h9 1/1 Running 0 10m
vpa-recommender-84bf7fb9db-65669 1/1 Running 0 10m
vpa-updater-79cc46c7bb-5p889 1/1 Running 0 10m
示例1 updateMode: "Off"
1、首先我們部署一個nginx服務(wù),部署到namespace: vpa中
apiVersion: apps/v1
kind: Deployment
metadata:
labels:
app: nginx
name: nginx
namespace: vpa
spec:
replicas: 2
selector:
matchLabels:
app: nginx
template:
metadata:
labels:
app: nginx
spec:
containers:
- image: nginx
name: nginx
resources:
requests:
cpu: 100m
memory: 250Mi
看下結(jié)果,正常運行了2個pod
[root@k8s-node001 examples]# kubectl get po -n vpa
NAME READY STATUS RESTARTS AGE
pod/nginx-6884b849f7-fswx5 1/1 Running 0 5m54s
pod/nginx-6884b849f7-wz6b8 1/1 Running 0 5m54s
2、為了便宜壓測,我們創(chuàng)建一個NodePort類型的service
[root@k8s-node001 examples]# cat nginx-vpa-ingress.yaml
apiVersion: v1
kind: Service
metadata:
name: nginx
namespace: vpa
spec:
type: NodePort
ports:
- port: 80
targetPort: 80
selector:
app: nginx
[root@k8s-node001 examples]# kubectl get svc -n vpa
NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE
nginx NodePort 10.97.250.131 <none> 80:32621/TCP 55s
[root@k8s-node001 examples]# curl -I 192.168.100.185:32621
HTTP/1.1 200 OK
3、創(chuàng)建VPA
這里先使用updateMode: "Off"模式,這種模式僅獲取資源推薦不更新Pod
[root@k8s-node001 examples]# cat nginx-vpa-demo.yaml
apiVersion: autoscaling.k8s.io/v1beta2
kind: VerticalPodAutoscaler
metadata:
name: nginx-vpa
namespace: vpa
spec:
targetRef:
apiVersion: "apps/v1"
kind: Deployment
name: nginx
updatePolicy:
updateMode: "Off"
resourcePolicy:
containerPolicies:
- containerName: "nginx"
minAllowed:
cpu: "250m"
memory: "100Mi"
maxAllowed:
cpu: "2000m"
memory: "2048Mi"
4、查看部署結(jié)果
[root@k8s-node001 examples]# kubectl get vpa -n vpa
NAME AGE
nginx-vpa 2m34s
5、使用describe查看vpa詳情,主要關(guān)注Container Recommendations
[root@k8s-node001 examples]# kubectl describe vpa nginx-vpa -n vpa
Name: nginx-vpa
Namespace: vpa
....略去10000字 哈哈......
Update Policy:
Update Mode: Off
Status:
Conditions:
Last Transition Time: 2020-09-28T04:04:25Z
Status: True
Type: RecommendationProvided
Recommendation:
Container Recommendations:
Container Name: nginx
Lower Bound:
Cpu: 250m
Memory: 262144k
Target:
Cpu: 250m
Memory: 262144k
Uncapped Target:
Cpu: 25m
Memory: 262144k
Upper Bound:
Cpu: 803m
Memory: 840190575
Events: <none>
其中
Lower Bound: 下限值
Target: 推薦值
Upper Bound: 上限值
Uncapped Target: 如果沒有為VPA提供最小或最大邊界,則表示目標利用率
上述結(jié)果表明,推薦的 Pod 的 CPU 請求為 25m,推薦的內(nèi)存請求為 262144k 字節(jié)。
6、現(xiàn)在我們對nginx進行壓測
執(zhí)行壓測命令
[root@k8s-node001 examples]# ab -c 100 -n 10000000 http://192.168.100.185:32621/
This is ApacheBench, Version 2.3 <$Revision: 1843412 $>
Copyright 1996 Adam Twiss, Zeus Technology Ltd, http://www.zeustech.net/
Licensed to The Apache Software Foundation, http://www.apache.org/
Benchmarking 192.168.100.185 (be patient)
Completed 1000000 requests
Completed 2000000 requests
Completed 3000000 requests
7、幾分鐘后再觀察VPA Recommendation變化
[root@k8s-node001 ~]# kubectl describe vpa nginx-vpa -n vpa |tail -n 20
Conditions:
Last Transition Time: 2020-09-28T04:04:25Z
Status: True
Type: RecommendationProvided
Recommendation:
Container Recommendations:
Container Name: nginx
Lower Bound:
Cpu: 250m
Memory: 262144k
Target:
Cpu: 476m
Memory: 262144k
Uncapped Target:
Cpu: 476m
Memory: 262144k
Upper Bound:
Cpu: 2
Memory: 387578728
Events: <none>
從輸出信息可以看出,VPA對Pod給出了推薦值:Cpu: 476m,因為我們這里設(shè)置了updateMode: "Off",所以不會更新Pod
示例2 updateMode: "Auto"
1、現(xiàn)在我把updateMode: "Auto",看看VPA會有什么動作
這里我把resources改為:memory: 50Mi,cpu: 100m
[root@k8s-node001 examples]# kubectl apply -f nginx-vpa.yaml
deployment.apps/nginx created
[root@k8s-node001 examples]# cat nginx-vpa.yaml
apiVersion: apps/v1
kind: Deployment
metadata:
labels:
app: nginx
name: nginx
namespace: vpa
spec:
replicas: 2
selector:
matchLabels:
app: nginx
template:
metadata:
labels:
app: nginx
spec:
containers:
- image: nginx
name: nginx
resources:
requests:
cpu: 100m
memory: 50Mi
[root@k8s-node001 examples]# kubectl get po -n vpa
NAME READY STATUS RESTARTS AGE
nginx-7ff65f974c-f4vgl 1/1 Running 0 114s
nginx-7ff65f974c-v9ccx 1/1 Running 0 114s
2、再次部署vpa,這里VPA部署文件nginx-vpa-demo.yaml只改了updateMode: "Auto"和name: nginx-vpa-2
[root@k8s-node001 examples]# cat nginx-vpa-demo.yaml
apiVersion: autoscaling.k8s.io/v1beta2
kind: VerticalPodAutoscaler
metadata:
name: nginx-vpa-2
namespace: vpa
spec:
targetRef:
apiVersion: "apps/v1"
kind: Deployment
name: nginx
updatePolicy:
updateMode: "Auto"
resourcePolicy:
containerPolicies:
- containerName: "nginx"
minAllowed:
cpu: "250m"
memory: "100Mi"
maxAllowed:
cpu: "2000m"
memory: "2048Mi"
[root@k8s-node001 examples]# kubectl apply -f nginx-vpa-demo.yaml
verticalpodautoscaler.autoscaling.k8s.io/nginx-vpa created
[root@k8s-node001 examples]# kubectl get vpa -n vpa
NAME AGE
nginx-vpa-2 9s
3、再次壓測
ab -c 1000 -n 100000000 http://192.168.100.185:32621/
4、幾分鐘后,使用describe查看vpa詳情,同樣只關(guān)注Container Recommendations
[root@k8s-node001 ~]# kubectl describe vpa nginx-vpa-2 -n vpa |tail -n 30
Min Allowed:
Cpu: 250m
Memory: 100Mi
Target Ref:
API Version: apps/v1
Kind: Deployment
Name: nginx
Update Policy:
Update Mode: Auto
Status:
Conditions:
Last Transition Time: 2020-09-28T04:48:25Z
Status: True
Type: RecommendationProvided
Recommendation:
Container Recommendations:
Container Name: nginx
Lower Bound:
Cpu: 250m
Memory: 262144k
Target:
Cpu: 476m
Memory: 262144k
Uncapped Target:
Cpu: 476m
Memory: 262144k
Upper Bound:
Cpu: 2
Memory: 262144k
Events: <none>
Target變成了Cpu: 587m ,Memory: 262144k
5、來看下event事件
[root@k8s-node001 ~]# kubectl get event -n vpa
LAST SEEN TYPE REASON OBJECT MESSAGE
33m Normal Pulling pod/nginx-7ff65f974c-f4vgl Pulling image "nginx"
33m Normal Pulled pod/nginx-7ff65f974c-f4vgl Successfully pulled image "nginx" in 15.880996269s
33m Normal Created pod/nginx-7ff65f974c-f4vgl Created container nginx
33m Normal Started pod/nginx-7ff65f974c-f4vgl Started container nginx
26m Normal EvictedByVPA pod/nginx-7ff65f974c-f4vgl Pod was evicted by VPA Updater to apply resource recommendation.
26m Normal Killing pod/nginx-7ff65f974c-f4vgl Stopping container nginx
35m Normal Scheduled pod/nginx-7ff65f974c-hnzr5 Successfully assigned vpa/nginx-7ff65f974c-hnzr5 to k8s-node005
35m Normal Pulling pod/nginx-7ff65f974c-hnzr5 Pulling image "nginx"
34m Normal Pulled pod/nginx-7ff65f974c-hnzr5 Successfully pulled image "nginx" in 40.750855715s
34m Normal Scheduled pod/nginx-7ff65f974c-v9ccx Successfully assigned vpa/nginx-7ff65f974c-v9ccx to k8s-node004
33m Normal Pulling pod/nginx-7ff65f974c-v9ccx Pulling image "nginx"
33m Normal Pulled pod/nginx-7ff65f974c-v9ccx Successfully pulled image "nginx" in 15.495315629s
33m Normal Created pod/nginx-7ff65f974c-v9ccx Created container nginx
33m Normal Started pod/nginx-7ff65f974c-v9ccx Started container nginx
從輸出信息可以了解到,vpa執(zhí)行了EvictedByVPA,自動停掉了nginx,然后使用 VPA推薦的資源啟動了新的nginx
,我們查看下nginx的pod可以得到確認
[root@k8s-node001 ~]# kubectl describe po nginx-7ff65f974c-2m9zl -n vpa
Name: nginx-7ff65f974c-2m9zl
Namespace: vpa
Priority: 0
Node: k8s-node004/192.168.100.184
Start Time: Mon, 28 Sep 2020 00:46:19 -0400
Labels: app=nginx
pod-template-hash=7ff65f974c
Annotations: cni.projectcalico.org/podIP: 100.67.191.53/32
vpaObservedContainers: nginx
vpaUpdates: Pod resources updated by nginx-vpa: container 0: cpu request, memory request
Status: Running
IP: 100.67.191.53
IPs:
IP: 100.67.191.53
Controlled By: ReplicaSet/nginx-7ff65f974c
Containers:
nginx:
Container ID: docker://c96bcd07f35409d47232a0bf862a76a56352bd84ef10a95de8b2e3f6681df43d
Image: nginx
Image ID: docker-pullable://nginx@sha256:c628b67d21744fce822d22fdcc0389f6bd763daac23a6b77147d0712ea7102d0
Port: <none>
Host Port: <none>
State: Running
Started: Mon, 28 Sep 2020 00:46:38 -0400
Ready: True
Restart Count: 0
Requests:
cpu: 476m
memory: 262144k
看重點Requests:cpu: 476m,memory: 262144k
再回頭看看部署文件
requests:
cpu: 100m
memory: 50Mi
現(xiàn)在可以知道VPA做了哪些事了吧。當然,隨著服務(wù)的負載的變化,VPA的推薦之也會不斷變化。當目前運行的pod的資源達不到VPA的推薦值,就會執(zhí)行pod驅(qū)逐,重新部署新的足夠資源的服務(wù)。
VPA使用限制
- 不能與HPA(Horizontal Pod Autoscaler )一起使用
- Pod比如使用副本控制器,例如屬于Deployment或者StatefulSet
VPA有啥好處
- Pod 資源用其所需,所以集群節(jié)點使用效率高。
- Pod 會被安排到具有適當可用資源的節(jié)點上。
- 不必運行基準測試任務(wù)來確定 CPU 和內(nèi)存請求的合適值。
- VPA 可以隨時調(diào)整 CPU 和內(nèi)存請求,無需人為操作,因此可以減少維護時間。
最后滴最后,VPA是Kubernetes比較新的功能,還沒有在生產(chǎn)環(huán)境大規(guī)模實踐過,不建議在線上環(huán)境使用自動更新模式,但是使用推薦模式你可以更好了解服務(wù)的資源使用情況。
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