Querying Metrics Monitoring Indicators from Prometheus

Querying Metrics Monitoring Indicators from Prometheus

Prerequisites

This article demonstrates how to deploy Prometheus in a Kubernetes environment and achieve monitoring data statistics and querying for the Dubbo cluster. You need to complete or possess the following:

A local or remote Kubernetes cluster
Ensure that Prometheus is correctly installed
Deploy the sample application and enable metrics collection
Use the Prometheus dashboard to query data metrics

Ensure Prometheus is Running Correctly

Verify that Prometheus has been correctly deployed

kubectl -n dubbo-system get svc prometheus-server
NAME                TYPE        CLUSTER-IP       EXTERNAL-IP   PORT(S)    AGE
prometheus-server   ClusterIP   10.109.160.254   <none>        9090/TCP   4m

Deploy Sample

kubectl apply -f https://raw.githubusercontent.com/apache/dubbo-samples/master/4-governance/dubbo-samples-metrics-spring-boot/Deployment.yml

Wait for the sample application to run normally, and confirm the application status using the following command:

kubectl -n dubbo-demo get deployments

Query Prometheus

Obtain the Prometheus access address kubectl port-forward service/prometheus-server 9090:9090, open a browser, and visit localhost:9090/graph to access the Prometheus console.

Next, execute the Prometheus query command. You can confirm the Metrics supported by Dubbo here.

1. In the “Expression” overview, enter dubbo_consumer_qps_total, and the following results will return

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Last modified September 30, 2024: Update & Translate Overview Docs (#3040) (d37ebceaea7)