HPA无法获取现有的自定义指标? [英] Hpa not fetching existing custom metric?

问题描述

我正在使用mongodb-exporter通过prometheus存储/查询指标.我已经设置了一个自定义指标服务器，并为此存储了值.

I'm using mongodb-exporter for store/query the metrics via prometheus. I have set up a custom metric server and storing values for that .

这是prometheus-exporter和custom-metric-server兼容的证据.

查询:

kubectl get --raw "/apis/custom.metrics.k8s.io/v1beta1/namespaces/monitoring/pods/*/mongodb_mongod_wiredtiger_cache_bytes"

结果:

{"kind":"MetricValueList","apiVersion":"custom.metrics.k8s.io/v1beta1","metadata":{"selfLink":"/apis/custom.metrics.k8s.io/v1beta1/namespaces/monitoring/pods/%2A/mongodb_mongod_wiredtiger_cache_bytes"},"items":[{"describedObject":{"kind":"Pod","namespace":"monitoring","name":"mongo-exporter-2-prometheus-mongodb-exporter-68f95fd65d-dvptr","apiVersion":"/v1"},"metricName":"mongodb_mongod_wiredtiger_cache_bytes","timestamp":"TTTTT","value":"0"}]}

在我的情况下，当我从mongo导出器为此自定义指标创建hpa时，hpa会向我返回此错误:

In my case when I create a hpa for this custom metrics from mongo exporter, hpa return this error to me :

failed to get mongodb_mongod_wiredtiger_cache_bytes utilization: unable to get metrics for resource mongodb_mongod_wiredtiger_cache_bytes: no metrics returned from resource metrics API

我的案子的主要问题是什么?我已经检查了所有配置，并且流程看起来还不错，但是我的错误在哪里?

What is the main issue on my case ? I have checked all configs and flow is looking fine, but where is the my mistake .

帮助

谢谢:)

推荐答案

在注释中，您写道您启用了external.metrics，但是在原始问题中，您遇到了custom.metrics

In comments you wrote that you have enabled external.metrics, however in original question you had issues with custom.metrics

简而言之:

• metrics仅支持诸如CPU或内存之类的基本指标.
• custom.metrics允许您将基本指标扩展到所有Kubernetes对象(http_requests，pod数量等).
• external.metrics允许收集不是Kubernetes对象的指标:

• metrics supports only basic metric like CPU or Memory.
• custom.metrics allows you to extend basic metrics to all Kubernetes objects (http_requests, number of pods, etc.).
• external.metrics allows to gather metrics which are not Kubernetes objects:

外部指标可让您根据任何条件自动扩展群集 监控系统中可用的指标.只需提供一个指标 带有名称和选择器的代码块，如上所述，并使用外部"指标 类型而不是对象

External metrics allow you to autoscale your cluster based on any metric available in your monitoring system. Just provide a metric block with a name and selector, as above, and use the External metric type instead of Object

有关详细说明，请检查

For more detailed description, please check this doc.

Minikube

要验证是否启用了custom.metrics，您需要执行以下命令并检查是否可以看到任何metrics-server...窗格.

To verify if custom.metrics are enabled you need to execute command below and check if you can see any metrics-server... pod.

$ kubectl get pods -n kube-system
...
metrics-server-587f876775-9qrtc    1/1     Running   4          5d1h

第二种方法是检查minikube是否通过启用了metrics-server

Second way is to check if minikube have enabled metrics-server by

$ minikube addons list
...
- metrics-server: enabled

如果已禁用，请执行

$ sudo minikube addons enable metrics-server
✅  metrics-server was successfully enabled

GKE

当前在GKE上，默认情况下打开heapster和metrics-server，但默认情况下不支持custom.metrics. 您必须安装prometheus adapter或stackdriver.

Currently at GKE heapster and metrics-server are turn on as default but custom.metrics are not supported by default. You have to install prometheus adapter or stackdriver.

Kubeadm

Kubeadm开头不包含heapster或metrics server.为了易于安装，您可以使用此YAML .

Kubeadm do not include heapster or metrics server at the beginning. For easy installation, you can use this YAML.

稍后您必须安装prometheus adapter.

应用custom.metrics

Minikube，Kubeadm，GKE相同.

应用custom.metrics的最简单方法是通过 prometheus适配器 >.

Easiest way to apply custom.metrics is to install prometheus adapter via Helm.

安装头盔后，您将看到注释:

After helm installation you will be able to see note:

NOTES:
my-release-prometheus-adapter has been deployed.
In a few minutes you should be able to list metrics using the following command(s):

  kubectl get --raw /apis/custom.metrics.k8s.io/v1beta1

作为其他信息，您可以使用jq获得更多用户友好的输出.

As additional information, you can use jq to get more user friendly output.

kubectl get --raw /apis/custom.metrics.k8s.io/v1beta1 | jq .

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