Chapter 2. Exposing custom application metrics for autoscaling
You can export custom application metrics for the horizontal pod autoscaler.
2.1. Exposing custom application metrics for horizontal pod autoscaling
You can use the prometheus-adapter
resource to expose custom application metrics for the horizontal pod autoscaler.
Prometheus Adapter is a Technology Preview feature only. Technology Preview features are not supported with Red Hat production service level agreements (SLAs) and might not be functionally complete. Red Hat does not recommend using them in production. These features provide early access to upcoming product features, enabling customers to test functionality and provide feedback during the development process.
For more information about the support scope of Red Hat Technology Preview features, see https://access.redhat.com/support/offerings/techpreview/.
Prerequisites
-
Make sure you have a custom Prometheus instance installed. In this example, it is presumed that Prometheus was installed in the
default
namespace. -
Make sure you configured monitoring for your application. In this example, it is presumed that the application and the service monitor for it were installed in the
default
namespace.
Procedure
-
Create a YAML file for your configuration. In this example, it is called
deploy.yaml
. Add configuration for creating the service account, necessary roles, and role bindings for
prometheus-adapter
: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 ---
Add configuration for the custom metrics for
prometheus-adapter
: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>>)' ---
Add configuration for registering
prometheus-adapter
as an API service: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 ---
Show the Prometheus Adapter image to use:
$ kubectl get -n openshift-monitoring deploy/prometheus-adapter -o jsonpath="{..image}" quay.io/openshift-release-dev/ocp-v4.1-art-dev@sha256:76db3c86554ad7f581ba33844d6a6ebc891236f7db64f2d290c3135ba81c264c
Add configuration for deploying
prometheus-adapter
: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-v4.1-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-v4.1-art-dev
specifies the Prometheus Adapter image found in the previous step.
Apply the configuration file to the cluster:
$ oc apply -f deploy.yaml
- Now the application’s metrics are exposed and can be used to configure horizontal pod autoscaling.
Additional resources