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Grafana is an open source, feature rich metrics dashboard and graph editor for Graphite, Elasticsearch, OpenTSDB, Prometheus and InfluxDB. PgBouncer comes with a Grafana dashboard designed to monitor real-time updates of PgBouncer servers using Prometheus metrics.
This tutorial will show you how to import our dashboard on Grafana to monitor PgBouncer deployed with KubeDB.
At first, you need to have a Kubernetes cluster, and the kubectl command-line tool must be configured to communicate with your cluster. If you do not already have a cluster, you can create one by using kind.
To learn how Prometheus monitoring works with KubeDB in general, please visit here.
To keep everything isolated, we are going to use a separate namespace called
monitoring to deploy respective monitoring resources. We are going to deploy database in
$ kubectl create ns monitoring namespace/monitoring created $ kubectl create ns demo namespace/demo created
After you have made sure that you have a PgBouncer server running with Monitoring enabled, you’re ready to deploy your very own Grafana server. If you still have not deployed PgBouncer server with monitoring enabled, then do so using Builtin Prometheus or Prometheus operator.
However, if you already have a Grafana server running in your cluster, feel free to skip this part. Otherwise, create one using:
$ kubectl apply -f https://github.com/kubedb/docs/raw/v2020.11.12/docs/examples/pgbouncer/monitoring/grafana.yaml deployment.apps/grafana created
Let’s get the name of the pod created by this deployment:
$ kubectl get pod -n monitoring -l "app=grafana" NAME READY STATUS RESTARTS AGE grafana-7cbd6b6f87-w9dkh 1/1 Running 0 57s
Now, we have to expose the Grafana pod so that we can access it from a browser.
$ kubectl port-forward -n monitoring grafana-7cbd6b6f87-w9dkh 3000 Forwarding from 127.0.0.1:3000 -> 3000 Forwarding from [::1]:3000 -> 3000
Grafana should now be available on localhost. Use default credentials
(username: admin, password: admin) to login to Grafana Dashboard.
First, we need to know the name of the service that exposes our prometheus server pods. In this tutorial, we have used a service named
prometheus-operated that exposes our prometheus metrics on port 9090.
$ kubectl get service -n monitoring NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE prometheus-operated ClusterIP 10.111.246.229 <none> 9090/TCP 38m
We will use this service to point Grafana to our desired data source.
From Home Dashboard, go to Configuration > Data Sources, and select
Add data source. Select
Prometheus as the
data source type.
In the following screen, add
http://prometheus-operated.monitoring.svc:9090 as the data source
URL, give it a name
PGBOUNCER_PROMETHEUS, and press the
Save and Test button. You should get a message confirming that the
Data source is working.
Now, go to http://localhost:3000/dashboard/import to import our PgBouncer Dashboard. Put
10945 as the grafana dashboard id. Select
PGBOUNCER_PROMETHEUS as the data source, and press
import. You will now be directed to your PgBouncer dashboard.
To cleanup the Kubernetes resources created by this tutorial, run the following commands
# cleanup prometheus resources kubectl delete -n monitoring deployment grafana # delete namespace kubectl delete ns monitoring