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:
- 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。
- 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
- 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。
-
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。 -
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.
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