以下是Google为在Google Kubernetes Engine中部署HPA所做的指南:https://cloud.google.com/kubernetes-engine/docs/tutorials/autoscaling-metrics
并添加正确的权限,因为我正在使用本指南中的Workload Identity:https://github.com/GoogleCloudPlatform/k8s-stackdriver/tree/master/custom-metrics-stackdriver-adapter
并在此处添加了防火墙规则注解:https://github.com/kubernetes-sigs/prometheus-adapter/issues/134
我陷入了HPA返回给我这个错误的地步:
kubectl describe hpa -n test-namespace
Name: my-hpa
Namespace: test-namespace
Labels: <none>
Annotations: <none>
CreationTimestamp: Tue, 13 Apr 2021 12:47:56 +0200
Reference: StatefulSet/my-set
Metrics: ( current / target )
"my-metric" on pods: <unknown> / 1
Min replicas: 1
Max replicas: 60
StatefulSet 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 FailedGetPodsMetric the HPA was unable to compute the replica count: unable to get metric my-metric: no metrics returned from custom metrics API
Events:
Type Reason Age From Message
---- ------ ---- ---- -------
Warning FailedGetPodsMetric 8m26s (x40 over 18m) horizontal-pod-autoscaler unable to get metric my-metric: no metrics returned from custom metrics API
Warning FailedComputeMetricsReplicas 3m26s (x53 over 18m) horizontal-pod-autoscaler failed to compute desired number of replicas based on listed metrics for StatefulSet/test-namespace/my-set: invalid metrics (1 invalid out of 1), first error is: failed to get pods metric value: unable to get metric my-metric: no metrics returned from custom metrics API
但是apiservices是真的,
kubectl get apiservices
NAME SERVICE AVAILABLE AGE
...
v1beta1.custom.metrics.k8s.io custom-metrics/custom-metrics-stackdriver-adapter True 24h
v1beta1.external.metrics.k8s.io custom-metrics/custom-metrics-stackdriver-adapter True 24h
v1beta2.custom.metrics.k8s.io custom-metrics/custom-metrics-stackdriver-adapter True 24h
...
当我尝试检索度量数据时,它返回OK,
kubectl get --raw "/apis/custom.metrics.k8s.io/v1beta2/namespaces/test-namespace/pods/*/my-metric" | jq .
{
"kind": "MetricValueList",
"apiVersion": "custom.metrics.k8s.io/v1beta2",
"metadata": {
"selfLink": "/apis/custom.metrics.k8s.io/v1beta2/namespaces/test-namespace/pods/%2A/my-metric"
},
"items": [
{
"describedObject": {
"kind": "Pod",
"namespace": "test-namespace",
"name": "my-metrics-api-XXXX",
"apiVersion": "/__internal"
},
"metric": {
"name": "my-metric",
"selector": null
},
"timestamp": "2021-04-13T11:15:30Z",
"value": "5"
}
]
}
但是stackdriver给了我这个错误:
2021-04-13T11:01:30.432634Z apiserver was unable to write a JSON response: http2: stream closed
2021-04-13T11:01:30.432679Z apiserver received an error that is not an metav1.Status: &errors.errorString{s:"http2: stream closed"}
我不得不这样配置Google提供的适配器:
apiVersion: v1
kind: Namespace
metadata:
name: custom-metrics
---
apiVersion: v1
kind: ServiceAccount
metadata:
name: custom-metrics-stackdriver-adapter
namespace: custom-metrics
---
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRoleBinding
metadata:
name: custom-metrics:system:auth-delegator
roleRef:
apiGroup: rbac.authorization.k8s.io
kind: ClusterRole
name: system:auth-delegator
subjects:
- kind: ServiceAccount
name: custom-metrics-stackdriver-adapter
namespace: custom-metrics
---
apiVersion: rbac.authorization.k8s.io/v1
kind: RoleBinding
metadata:
name: custom-metrics-auth-reader
namespace: kube-system
roleRef:
apiGroup: rbac.authorization.k8s.io
kind: Role
name: extension-apiserver-authentication-reader
subjects:
- kind: ServiceAccount
name: custom-metrics-stackdriver-adapter
namespace: custom-metrics
---
apiVersion: rbac.authorization.k8s.io/v1beta1
kind: ClusterRoleBinding
metadata:
name: custom-metrics-resource-reader
roleRef:
apiGroup: rbac.authorization.k8s.io
kind: ClusterRole
name: view
subjects:
- kind: ServiceAccount
name: custom-metrics-stackdriver-adapter
namespace: custom-metrics
---
apiVersion: apps/v1
kind: Deployment
metadata:
name: custom-metrics-stackdriver-adapter
namespace: custom-metrics
labels:
run: custom-metrics-stackdriver-adapter
k8s-app: custom-metrics-stackdriver-adapter
spec:
replicas: 1
selector:
matchLabels:
run: custom-metrics-stackdriver-adapter
k8s-app: custom-metrics-stackdriver-adapter
template:
metadata:
labels:
run: custom-metrics-stackdriver-adapter
k8s-app: custom-metrics-stackdriver-adapter
kubernetes.io/cluster-service: "true"
spec:
serviceAccountName: custom-metrics-stackdriver-adapter
containers:
- image: gcr.io/gke-release/custom-metrics-stackdriver-adapter:v0.12.0-gke.0
imagePullPolicy: Always
name: pod-custom-metrics-stackdriver-adapter
command:
- /adapter
- --use-new-resource-model=true
- --cert-dir=/tmp
- --secure-port=4443
resources:
limits:
cpu: 250m
memory: 200Mi
requests:
cpu: 250m
memory: 200Mi
securityContext:
runAsNonRoot: true
runAsUser: 1000
---
apiVersion: v1
kind: Service
metadata:
labels:
run: custom-metrics-stackdriver-adapter
k8s-app: custom-metrics-stackdriver-adapter
kubernetes.io/cluster-service: 'true'
kubernetes.io/name: Adapter
name: custom-metrics-stackdriver-adapter
namespace: custom-metrics
spec:
ports:
- port: 443
protocol: TCP
targetPort: 4443
selector:
run: custom-metrics-stackdriver-adapter
k8s-app: custom-metrics-stackdriver-adapter
type: ClusterIP
---
apiVersion: apiregistration.k8s.io/v1
kind: APIService
metadata:
name: v1beta1.custom.metrics.k8s.io
spec:
insecureSkipTLSVerify: true
group: custom.metrics.k8s.io
groupPriorityMinimum: 100
versionPriority: 100
service:
name: custom-metrics-stackdriver-adapter
namespace: custom-metrics
version: v1beta1
---
apiVersion: apiregistration.k8s.io/v1
kind: APIService
metadata:
name: v1beta2.custom.metrics.k8s.io
spec:
insecureSkipTLSVerify: true
group: custom.metrics.k8s.io
groupPriorityMinimum: 100
versionPriority: 200
service:
name: custom-metrics-stackdriver-adapter
namespace: custom-metrics
version: v1beta2
---
apiVersion: apiregistration.k8s.io/v1
kind: APIService
metadata:
name: v1beta1.external.metrics.k8s.io
spec:
insecureSkipTLSVerify: true
group: external.metrics.k8s.io
groupPriorityMinimum: 100
versionPriority: 100
service:
name: custom-metrics-stackdriver-adapter
namespace: custom-metrics
version: v1beta1
---
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRole
metadata:
name: external-metrics-reader
rules:
- apiGroups:
- "external.metrics.k8s.io"
resources:
- "*"
verbs:
- list
- get
- watch
---
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRoleBinding
metadata:
name: external-metrics-reader
roleRef:
apiGroup: rbac.authorization.k8s.io
kind: ClusterRole
name: external-metrics-reader
subjects:
- kind: ServiceAccount
name: horizontal-pod-autoscaler
namespace: kube-system
因为它被禁用了端口443,我不得不更改为4443并放置--cert-dir=/tmp选项,因为没有该选项,stackdriver返回错误:
"unable to run custom metrics adapter: error creating self-signed certificates: mkdir apiserver.local.config: permission denied"
我想我解释了配置它的所有步骤,但没有成功。有什么想法吗
1条答案
按热度按时间bvjveswy1#
为我解决!
经过多次试验,更换HPAYarn,
从
Pod
到External
的度量,以及带有custom.google.apis/my-metric
的度量名称,它可以工作!