第 3 章 公开用于自动扩展的自定义应用程序指标

流程

1. 为您的配置创建一个 YAML 文件。本例中称为 deploy.yaml。

2. 添加相应的配置，以便为 prometheus-adapter 创建服务帐户、必要角色和角色绑定：

   kind: ServiceAccount
   apiVersion: v1
   metadata:
     name: custom-metrics-apiserver
     namespace: default
   ---
   apiVersion: rbac.authorization.k8s.io/v1
   kind: ClusterRole
   metadata:
     name: custom-metrics-server-resources
   rules:
   - apiGroups:
     - custom.metrics.k8s.io
     resources: ["*"]
     verbs: ["*"]
   ---
   apiVersion: rbac.authorization.k8s.io/v1
   kind: ClusterRole
   metadata:
     name: custom-metrics-resource-reader
   rules:
   - apiGroups:
     - ""
     resources:
     - namespaces
     - pods
     - services
     verbs:
     - get
     - list
   ---
   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-apiserver
     namespace: default
   ---
   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-apiserver
     namespace: default
   ---
   apiVersion: rbac.authorization.k8s.io/v1
   kind: ClusterRoleBinding
   metadata:
     name: custom-metrics-resource-reader
   roleRef:
     apiGroup: rbac.authorization.k8s.io
     kind: ClusterRole
     name: custom-metrics-resource-reader
   subjects:
   - kind: ServiceAccount
     name: custom-metrics-apiserver
     namespace: default
   ---
   apiVersion: rbac.authorization.k8s.io/v1
   kind: ClusterRoleBinding
   metadata:
     name: hpa-controller-custom-metrics
   roleRef:
     apiGroup: rbac.authorization.k8s.io
     kind: ClusterRole
     name: custom-metrics-server-resources
   subjects:
   - kind: ServiceAccount
     name: horizontal-pod-autoscaler
     namespace: kube-system
   ---

3. 添加 prometheus-adapter 的自定义指标的配置:

   apiVersion: v1
   kind: ConfigMap
   metadata:
     name: adapter-config
     namespace: default
   data:
     config.yaml: |
       rules:
       - seriesQuery: 'http_requests_total{namespace!="",pod!=""}' 1
         resources:
           overrides:
             namespace: {resource: "namespace"}
             pod: {resource: "pod"}
             service: {resource: "service"}
         name:
           matches: "^(.*)_total"
           as: "${1}_per_second" 2
         metricsQuery: 'sum(rate(<<.Series>>{<<.LabelMatchers>>}[2m])) by (<<.GroupBy>>)'
   ---

   1

   将所选指标指定为 HTTP 请求数。

   2

   指定指标的频率。

4. 添加将 prometheus-adapter 注册为 API 服务的配置：

   apiVersion: v1
   kind: Service
   metadata:
     annotations:
       service.alpha.openshift.io/serving-cert-secret-name: prometheus-adapter-tls
     labels:
       name: prometheus-adapter
     name: prometheus-adapter
     namespace: default
   spec:
     ports:
     - name: https
       port: 443
       targetPort: 6443
     selector:
       app: prometheus-adapter
     type: ClusterIP
   ---
   apiVersion: apiregistration.k8s.io/v1beta1
   kind: APIService
   metadata:
     name: v1beta1.custom.metrics.k8s.io
   spec:
     service:
       name: prometheus-adapter
       namespace: default
     group: custom.metrics.k8s.io
     version: v1beta1
     insecureSkipTLSVerify: true
     groupPriorityMinimum: 100
     versionPriority: 100
   ---

5. 显示要使用的 Prometheus Adapter 镜像：

   $ kubectl get -n openshift-monitoring deploy/prometheus-adapter -o jsonpath="{..image}"
   quay.io/openshift-release-dev/ocp-v4.3-art-dev@sha256:76db3c86554ad7f581ba33844d6a6ebc891236f7db64f2d290c3135ba81c264c

6. 添加部署 prometheus-adapter 的配置：

   apiVersion: apps/v1
   kind: Deployment
   metadata:
     labels:
       app: prometheus-adapter
     name: prometheus-adapter
     namespace: default
   spec:
     replicas: 1
     selector:
       matchLabels:
         app: prometheus-adapter
     template:
       metadata:
         labels:
           app: prometheus-adapter
         name: prometheus-adapter
       spec:
         serviceAccountName: custom-metrics-apiserver
         containers:
         - name: prometheus-adapter
           image: openshift-release-dev/ocp-v4.3-art-dev 1
           args:
           - --secure-port=6443
           - --tls-cert-file=/var/run/serving-cert/tls.crt
           - --tls-private-key-file=/var/run/serving-cert/tls.key
           - --logtostderr=true
           - --prometheus-url=http://prometheus-operated.default.svc:9090/
           - --metrics-relist-interval=1m
           - --v=4
           - --config=/etc/adapter/config.yaml
           ports:
           - containerPort: 6443
           volumeMounts:
           - mountPath: /var/run/serving-cert
             name: volume-serving-cert
             readOnly: true
           - mountPath: /etc/adapter/
             name: config
             readOnly: true
           - mountPath: /tmp
             name: tmp-vol
         volumes:
         - name: volume-serving-cert
           secret:
             secretName: prometheus-adapter-tls
         - name: config
           configMap:
             name: adapter-config
         - name: tmp-vol
           emptyDir: {}

   1

   image: openshift-release-dev/ocp-v4.3-art-dev 指定上一步中找到的 Prometheus Adapter 镜像。

7. 将配置文件应用到集群：

   $ oc apply -f deploy.yaml

8. 现在，应用程序的指标已经公开，并可用于配置 Pod 横向自动扩展。