作为一个创业公司的后端开发者,为了第一次应用Kubernetis,我寻找了AWS的EKS指南,找到了一个很好的文档并遵循了它。
该指南的链接如下所示。https://aws-eks-web-application.workshop.aws/en/10-intro.html
在这里,我从2-1中的AWS Account方法开始,并省略了前面的所有选项。
例5-2.(选项)添加控制台凭据
在最初的尝试中,我们继续使用Option,因为我们在进度应用程序阶段不断失败,正在尝试新的东西。
所有的过程都很容易,直到“10-1.应用HPA阶段”。
但是,当我通过kubectl get hpa命令检查HPA状态时,CPU使用率被标记为未知。
导游说,如果你晚一点试,它就能正常出来,所以我一个小时后试了试,结果还是一样。
因此,当我通过kubectl describe hpa命令检查状态时,我发现由于缺少cpu请求而出现了如下错误。
Name: demo-flask-backend-hpa
Namespace: default
Labels: <none>
Annotations: <none>
CreationTimestamp: Tue, 14 Sep 2021 09:03:53 +0000
Reference: Deployment/demo-flask-backend
Metrics: ( current / target )
resource cpu on pods (as a percentage of request): <unknown> / 30%
Min replicas: 1
Max replicas: 5
Deployment pods: 1 current / 0 desired
Conditions:
Type Status Reason Message
---- ------ ------ -------
AbleToScale True SucceededGetScale the HPA controller was able to get the target's current scale
ScalingActive False FailedGetResourceMetric the HPA was unable to compute the replica count: failed to get cpu utilization: missing request for cpu
Events:
Type Reason Age From Message
---- ------ ---- ---- -------
Warning FailedGetResourceMetric 5s horizontal-pod-autoscaler failed to get cpu utilization: missing request for cpu
Warning FailedComputeMetricsReplicas 5s horizontal-pod-autoscaler invalid metrics (1 invalid out of 1), first error is: failed to get cpu utilization: missing request for cpu
为了解决这个问题,我们从很多方面进行了研究,但是由于我们对Kubernetis的了解还很有限,我们还没有找到一个合适的解决方案。
到目前为止创建的yaml设置文件如下。
Bashshell中使用的所有指令都遵循了指南,除了过时的错误外,没有其他严重错误。
如何解决此错误?
培养瓶-hpa.yaml
---
apiVersion: autoscaling/v1
kind: HorizontalPodAutoscaler
metadata:
name: demo-flask-backend-hpa
namespace: default
spec:
scaleTargetRef:
apiVersion: apps/v1
kind: Deployment
name: demo-flask-backend
minReplicas: 1
maxReplicas: 5
targetCPUUtilizationPercentage: 30
培养瓶部署.yaml
---
apiVersion: apps/v1
kind: Deployment
metadata:
name: demo-flask-backend
namespace: default
spec:
replicas: 1
selector:
matchLabels:
app: demo-flask-backend
template:
metadata:
labels:
app: demo-flask-backend
spec:
containers:
- name: demo-flask-backend
image: $ACCOUNT_ID.dkr.ecr.$AWS_REGION.amazonaws.com/demo-flask-backend:latest
imagePullPolicy: Always
ports:
- containerPort: 8080
resources:
requests:
cpu: 250m
limits:
cpu: 500m
入口.yaml
---
apiVersion: networking.k8s.io/v1
kind: Ingress
metadata:
name: "backend-ingress"
namespace: default
annotations:
kubernetes.io/ingress.class: alb
alb.ingress.kubernetes.io/scheme: internet-facing
alb.ingress.kubernetes.io/target-type: ip
spec:
rules:
- http:
paths:
- path: /contents
pathType: Prefix
backend:
service:
name: "demo-flask-backend"
port:
number: 8080
- path: /services
pathType: Prefix
backend:
service:
name: "demo-nodejs-backend"
port:
number: 8080
- path: /
pathType: Prefix
backend:
service:
name: "demo-frontend"
port:
number: 80
2条答案
按热度按时间4xrmg8kj1#
HPA对Metrics服务器数据进行处理以缩放POD或不缩放POD。
安装:https://docs.aws.amazon.com/eks/latest/userguide/metrics-server.html
在AWS中,你必须先安装它,而在GKE中,默认情况下它已经安装了。
https://aws.amazon.com/premiumsupport/knowledge-center/eks-metrics-server/
您可以检查度量服务器是否正在运行或未使用
如果输出伴随着资源使用,您的度量服务器正在启动和运行,则HPA存在其他问题。
mbzjlibv2#
您需要install metrics-server来获取cpu和内存指标。