45 lines
1.8 KiB
Markdown
45 lines
1.8 KiB
Markdown
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# 自定义指标HPA
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Kubernetes中支持不仅支持CPU、内存为指标的HPA，还支持自定义指标的HPA，例如QPS。
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## 设置自定义指标
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**kubernetes1.6**
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在设置定义指标HPA之前需要先进行如下配置：
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- 将heapster的启动参数 `--api-server` 设置为 true
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- 启用custom metric API
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- 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`
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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。
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我们将安装聚合的API server来实现自定义指标的HPA。
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**kuberentes1.7**
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已经内置了`apiregistration.k8s.io/v1beta1` API，可以直接定义APIService，如：
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```yaml
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apiVersion: apiregistration.k8s.io/v1beta1
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kind: APIService
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metadata:
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name: v1alpha1.custom-metrics.metrics.k8s.io
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spec:
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insecureSkipTLSVerify: true
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group: custom-metrics.metrics.k8s.io
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groupPriorityMinimum: 1000
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versionPriority: 5
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service:
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name: api
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namespace: custom-metrics
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version: v1alpha1
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```
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## 参考
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[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)
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[1.7版本的kubernetes中启用自定义HPA](https://docs.bitnami.com/kubernetes/how-to/configure-autoscaling-custom-metrics/)
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