kubernetes-handbook/concepts/custom-metrics-hpa.md

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# 自定义指标HPA
Kubernetes中不仅支持CPU、内存为指标的HPA还支持自定义指标的HPA例如QPS。
本文中使用的yaml文件见[manifests/HPA](https://github.com/rootsongjc/kubernetes-handbook/tree/master/manifests/HPA)。
## 设置自定义指标
**kubernetes1.6**
> 在kubernetes1.6集群中配置自定义指标的HPA的说明已废弃。
在设置定义指标HPA之前需要先进行如下配置
- 将heapster的启动参数 `--api-server` 设置为 true
- 启用custom metric API
- 将kube-controller-manager的启动参数中`--horizontal-pod-autoscaler-use-rest-clients`设置为true并指定`--master`为API server地址如`--master=http://172.20.0.113:8080`
在kubernetes1.5以前很容易设置,参考[1.6以前版本的kubernetes中开启自定义HPA](https://medium.com/@marko.luksa/kubernetes-autoscaling-based-on-custom-metrics-without-using-a-host-port-b783ed6241ac)而在1.6中因为取消了原来的annotation方式设置custom metric只能通过API server和kube-aggregator来获取custom metric因为只有两种方式来设置了一是直接通过API server获取heapster的metrics二是部署[kube-aggragator](https://github.com/kubernetes/kube-aggregator)来实现。
我们将在kubernetes1.8版本的kubernetes中使用聚合的API server来实现自定义指标的HPA。
**kuberentes1.7+**
确认您的kubernetes版本在1.7或以上,修改以下配置:
- 将kube-controller-manager的启动参数中`--horizontal-pod-autoscaler-use-rest-clients`设置为true并指定`--master`为API server地址如`--master=http://172.20.0.113:8080
- 修改kube-apiserver的配置文件apiserver增加一条配置`--requestheader-client-ca-file=/etc/kubernetes/ssl/ca.pem --requestheader-allowed-names=aggregator --requestheader-extra-headers-prefix=X-Remote-Extra- --requestheader-group-headers=X-Remote-Group --requestheader-username-headers=X-Remote-User --proxy-client-cert-file=/etc/kubernetes/ssl/kubernetes.pem --proxy-client-key-file=/etc/kubernetes/ssl/kubernetes-key.pem`用来配置aggregator的CA证书。
已经内置了`apiregistration.k8s.io/v1beta1` API可以直接定义APIService
```yaml
apiVersion: apiregistration.k8s.io/v1
kind: APIService
metadata:
name: v1.custom-metrics.metrics.k8s.io
spec:
insecureSkipTLSVerify: true
group: custom-metrics.metrics.k8s.io
groupPriorityMinimum: 1000
versionPriority: 5
service:
name: api
namespace: custom-metrics
version: v1alpha1
```
**部署Prometheus**
使用下面的yaml文件部署Prometheus operator
```yaml
apiVersion: rbac.authorization.k8s.io/v1beta1
kind: ClusterRoleBinding
metadata:
name: prometheus-operator
roleRef:
apiGroup: rbac.authorization.k8s.io
kind: ClusterRole
name: prometheus-operator
subjects:
- kind: ServiceAccount
name: prometheus-operator
namespace: default
---
apiVersion: rbac.authorization.k8s.io/v1beta1
kind: ClusterRole
metadata:
name: prometheus-operator
rules:
- apiGroups:
- extensions
resources:
- thirdpartyresources
verbs:
- "*"
- apiGroups:
- apiextensions.k8s.io
resources:
- customresourcedefinitions
verbs:
- "*"
- apiGroups:
- monitoring.coreos.com
resources:
- alertmanagers
- prometheuses
- servicemonitors
verbs:
- "*"
- apiGroups:
- apps
resources:
- statefulsets
verbs: ["*"]
- apiGroups: [""]
resources:
- configmaps
- secrets
verbs: ["*"]
- apiGroups: [""]
resources:
- pods
verbs: ["list", "delete"]
- apiGroups: [""]
resources:
- services
- endpoints
verbs: ["get", "create", "update"]
- apiGroups: [""]
resources:
- nodes
verbs: ["list", "watch"]
- apiGroups: [""]
resources:
- namespaces
verbs: ["list"]
---
apiVersion: v1
kind: ServiceAccount
metadata:
name: prometheus-operator
---
apiVersion: extensions/v1beta1
kind: Deployment
metadata:
labels:
k8s-app: prometheus-operator
name: prometheus-operator
spec:
replicas: 1
template:
metadata:
labels:
k8s-app: prometheus-operator
spec:
containers:
- args:
- --kubelet-service=kube-system/kubelet
- --config-reloader-image=sz-pg-oam-docker-hub-001.tendcloud.com/library/configmap-reload:v0.0.1
image: sz-pg-oam-docker-hub-001.tendcloud.com/library/prometheus-operator:v0.15.0
name: prometheus-operator
ports:
- containerPort: 8080
name: http
resources:
limits:
cpu: 200m
memory: 100Mi
requests:
cpu: 100m
memory: 50Mi
serviceAccountName: prometheus-operator
```
**注意:**将镜像修改为你自己的镜像仓库地址。
这产生一个自定义的APIhttp://172.20.0.113:8080/apis/custom-metrics.metrics.k8s.io/v1alpha1
TODO
## 参考
[1.6以前版本的kubernetes中开启自定义HPA](https://medium.com/@marko.luksa/kubernetes-autoscaling-based-on-custom-metrics-without-using-a-host-port-b783ed6241ac)
[1.7版本的kubernetes中启用自定义HPA](https://docs.bitnami.com/kubernetes/how-to/configure-autoscaling-custom-metrics/)
[Horizontal Pod Autoscaler Walkthrough](https://kubernetes.io/docs/tasks/run-application/horizontal-pod-autoscale-walkthrough/)
[Kubernetes 1.8: Now with 100% Daily Value of Custom Metrics](https://blog.openshift.com/kubernetes-1-8-now-custom-metrics/)
[Arbitrary/Custom Metrics in the Horizontal Pod Autoscaler#117](https://github.com/kubernetes/features/issues/117)