将nuclio指标拉入prometheus-operator

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英文:

Pull nuclio metrics into prometheus-operator

问题

我目前正在尝试从Nuclio函数中提取指标并将其传递到我的Prometheus Operator。但是我不太明白我应该如何做。

到目前为止,我有2个命名空间:

  • monitoring:用于我的kube-prometheus-stack
  • nuclio:用于与Nuclio相关的所有内容(控制器、仪表板和函数)

在nuclio命名空间中,我根据Nuclio文档配置了一个基于平台的设置。

我的configmap(nuclio-platform-config):

cronTriggerCreationMode: "kube"
logger:
  sinks:
    stdout:
      kind: stdout
  system:
  - level: debug
    sink: stdout
  functions:
  - level: debug
    sink: stdout
metrics:
  sinks:
    PromPull:
      kind: prometheusPull
      url: 8090
      attributes:
        jobName: nuclio-pull-job
        instanceName: nuclio-pull-instance
  system:
  - PromPull
  functions:
  - PromPull

如预期的那样,它没有自动抓取我的函数的指标。但是我绝对不知道接下来该怎么做...

如果有人能给我一些指导,我会非常高兴。

附注:我不知道哪个配置是相关的。如果您需要任何信息,我会编辑我的问题以添加它。

英文:

I am currently trying to pull metrics from nuclio functions to my prometheus operator.
But I don't realy understand how I am supposed to do.

So far, I have 2 namespaces :

  • monitoring : for my kube-prometheus-stack
  • nuclio : for everything related to nuclio (controller, dashboard and functions)

In the nuclio namespace I configured a platform based on the Nuclio Documentation
.

My configmap (nuclio-platform-config) :

cronTriggerCreationMode: "kube"
logger: 
  sinks:
    stdout:
      kind: stdout
  system:
  - level : debug
    sink: stdout
  functions:
  - level : debug
    sink: stdout
metrics:
    sinks:
      PromPull:
        kind: prometheusPull
        url: 8090
        attributes:
          jobName: nuclio-pull-job
          instanceName: nuclio-pull-instance
    system:
    - PromPull
    functions:
    - PromPull

As expected, it did not scrape automaticaly my functions' metrics. But I have absolutely no idea what to do next...

If anyone could give me some guidance, I'd be delighted.

PS : I didn't know which config was relevant or not. If you need anything, I will edit my question to add it

答案1

得分: 1

为了从Nuclio函数中抓取指标并将其提供给Prometheus,您需要为监控命名空间中的Nuclio函数设置自定义的Prometheus抓取配置。这涉及到定义一个新的ServiceMonitor资源,该资源指定要抓取的目标端点。

以下是操作步骤:

  1. 创建一个ServiceMonitor资源:
    您需要在监控命名空间中定义一个ServiceMonitor资源,以告诉Prometheus要抓取什么。该资源应包括与您的Nuclio函数服务匹配的标签。

例如,创建一个名为nuclio-function-monitor.yaml的文件,其内容如下:

apiVersion: monitoring.coreos.com/v1
kind: ServiceMonitor
metadata:
  name: nuclio-function-monitor
  namespace: monitoring
spec:
  selector:
    matchLabels:
      app.kubernetes.io/instance: nuclio
  endpoints:
    - port: http-metrics

在此示例中,selector字段选择具有标签app.kubernetes.io/instance: nuclio的所有服务(根据您的Nuclio函数的标签设置,您可能需要调整此标签)。endpoints字段指定Prometheus应该抓取这些服务的http-metrics端口。

  1. 应用ServiceMonitor资源:
    使用以下命令将nuclio-function-monitor.yaml文件应用于监控命名空间以创建ServiceMonitor资源:
kubectl apply -f nuclio-function-monitor.yaml
  1. 验证:
    确保ServiceMonitor已成功创建:
kubectl get servicemonitor -n monitoring

您应该在输出中看到nuclio-function-monitor资源。

  1. 配置Nuclio以公开指标:
    您还需要确保您的Nuclio函数已配置为在http-metrics端点上公开指标。看起来您已经在您的nuclio-platform-config ConfigMap中完成了这个步骤。

  2. 访问指标:
    现在,Prometheus应该会自动开始从公开的http-metrics端点抓取Nuclio函数的指标。您可以通过访问Prometheus Web UI(如果您使用kube-prometheus-stack安装了Prometheus)并检查“Targets”页面来验证Prometheus是否正在抓取目标。您应该在那里看到列出的Nuclio函数端点。

英文:

To scrape metrics from Nuclio functions and make them available to Prometheus, you'll need to set up a custom Prometheus scrape configuration for the Nuclio functions in your monitoring namespace. This involves defining a new ServiceMonitor resource that specifies the target endpoints to scrape.

Here's how you can proceed:

1.Create a ServiceMonitor resource:
You need to define a ServiceMonitor resource in the monitoring namespace to tell Prometheus what to scrape. This resource should include the labels that match your Nuclio functions' services.

For example, create a file named nuclio-function-monitor.yaml with the following content:

apiVersion: monitoring.coreos.com/v1
kind: ServiceMonitor
metadata:
  name: nuclio-function-monitor
  namespace: monitoring
spec:
  selector:
    matchLabels:
      app.kubernetes.io/instance: nuclio
  endpoints:
    - port: http-metrics

In this example, the selector field selects all services with the label app.kubernetes.io/instance: nuclio (you might need to adjust this label depending on how your Nuclio functions are labeled). The endpoints field specifies that Prometheus should scrape the http-metrics port of these services.

2.Apply the ServiceMonitor resource:
Apply the nuclio-function-monitor.yaml file to create the ServiceMonitor resource in the monitoring namespace:

kubectl apply -f nuclio-function-monitor.yaml

3.Verify:
Ensure that the ServiceMonitor is created successfully:

kubectl get servicemonitor -n monitoring

You should see the nuclio-function-monitor resource in the output.

4.Configure Nuclio to expose metrics:
You also need to ensure that your Nuclio functions are configured to expose metrics on the http-metrics endpoint. It looks like you've already done this in your nuclio-platform-config ConfigMap.

5.Access the metrics:
Now, Prometheus should automatically start scraping metrics from the Nuclio functions exposed on the http-metrics endpoint. You can check if Prometheus is scraping the targets by navigating to the Prometheus web UI (if you've installed Prometheus with kube-prometheus-stack) and checking the "Targets" page. You should see the Nuclio function endpoints listed there.

huangapple
  • 本文由 发表于 2023年7月27日 23:24:51
  • 转载请务必保留本文链接:https://go.coder-hub.com/76781280.html
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