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Using Prometheus (CoreOS operator) with KubeDB

This tutorial will show you how to monitor Elasticsearch database using Prometheus via CoreOS Prometheus Operator.

Before You begin

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 Minikube.

Now, install KubeDB cli on your workstation and KubeDB operator in your cluster following the steps here.

To keep things isolated, this tutorial uses a separate namespace called demo throughout this tutorial.

$ kubectl create ns demo
namespace "demo" created

$ kubectl get ns demo
NAME    STATUS  AGE
demo    Active  5s

Note: Yaml files used in this tutorial are stored in docs/examples/elasticsearch folder in GitHub repository kubedb/cli.

This tutorial assumes that you are familiar with Elasticsearch concept.

Deploy CoreOS-Prometheus Operator

Run the following command to deploy CoreOS-Prometheus operator.

$ kubectl create -f https://raw.githubusercontent.com/kubedb/cli/0.9.0-rc.0/docs/examples/monitoring/coreos-operator/demo-0.yaml
namespace/demo configured
clusterrole.rbac.authorization.k8s.io/prometheus-operator created
serviceaccount/prometheus-operator created
clusterrolebinding.rbac.authorization.k8s.io/prometheus-operator created
deployment.extensions/prometheus-operator created

Wait for running the Deployment’s Pods.

$ kubectl get pods -n demo --selector=operator=prometheus
NAME                                   READY     STATUS    RESTARTS   AGE
prometheus-operator-857455484c-mbzsp   1/1       Running   0          57s

This CoreOS-Prometheus operator will create some supported Custom Resource Definition (CRD).

$ kubectl get crd
NAME                                          CREATED AT
...
alertmanagers.monitoring.coreos.com           2018-10-08T12:53:46Z
prometheuses.monitoring.coreos.com            2018-10-08T12:53:46Z
servicemonitors.monitoring.coreos.com         2018-10-08T12:53:47Z
...

Once the Prometheus CRDs are registered, run the following command to create a Prometheus.

$ kubectl create -f https://raw.githubusercontent.com/kubedb/cli/0.9.0-rc.0/docs/examples/monitoring/coreos-operator/demo-1.yaml
clusterrole.rbac.authorization.k8s.io/prometheus created
serviceaccount/prometheus created
clusterrolebinding.rbac.authorization.k8s.io/prometheus created
prometheus.monitoring.coreos.com/prometheus created
service/prometheus created

Verify RBAC stuffs

$ kubectl get clusterroles
NAME                             AGE
...
prometheus                       28s
prometheus-operator              10m
...
$ kubectl get clusterrolebindings
NAME                  AGE
...
prometheus            2m
prometheus-operator   11m
...

Prometheus Dashboard

Now open prometheus dashboard on browser by running minikube service prometheus -n demo.

Or you can get the URL of prometheus Service by running following command

$ minikube service prometheus -n demo --url
http://192.168.99.100:30900

If you are not using minikube, browse prometheus dashboard using following address http://{Node's ExternalIP}:{NodePort of prometheus-service}.

Now, if you go to the Prometheus Dashboard, you will see that target list is now empty.

Monitor Elasticsearch with CoreOS Prometheus

Below is the Elasticsearch object created in this tutorial.

apiVersion: kubedb.com/v1alpha1
kind: Elasticsearch
metadata:
  name: coreos-prom-es
  namespace: demo
spec:
  version: "6.3-v1"
  storage:
    storageClassName: "standard"
    accessModes:
    - ReadWriteOnce
    resources:
      requests:
        storage: 50Mi
  monitor:
    agent: prometheus.io/coreos-operator
    prometheus:
      namespace: demo
      labels:
        app: kubedb
      interval: 10s

Here,

  • monitor.agent indicates the monitoring agent. Currently only valid value currently is coreos-prometheus-operator
  • monitor.prometheus specifies the information for monitoring by prometheus
    • prometheus.namespace specifies the namespace where ServiceMonitor is created.
    • prometheus.labels specifies the labels applied to ServiceMonitor.
    • prometheus.port indicates the port for Elasticsearch exporter endpoint (default is 56790)
    • prometheus.interval indicates the scraping interval (eg, ’10s')

Now create this Elasticsearch object with monitoring spec

$ kubectl create -f https://raw.githubusercontent.com/kubedb/cli/0.9.0-rc.0/docs/examples/elasticsearch/monitoring/coreos-prom-es.yaml
elasticsearch.kubedb.com/coreos-prom-es created

KubeDB operator will create a ServiceMonitor object once the Elasticsearch is successfully running.

$ kubectl get es -n demo coreos-prom-es
NAME             VERSION   STATUS    AGE
coreos-prom-es   6.3-v1    Running   1m

You can verify it running the following commands

$ kubectl get servicemonitor -n demo --selector="app=kubedb"
NAME                         AGE
kubedb-demo-coreos-prom-es   1m

Now, if you go the Prometheus Dashboard, you will see this database endpoint in target list.

   prometheus-builtin

Cleaning up

To cleanup the Kubernetes resources created by this tutorial, run following commands

$ kubectl patch -n demo es/coreos-prom-es -p '{"spec":{"terminationPolicy":"WipeOut"}}' --type="merge"
$ kubectl delete -n demo es/coreos-prom-es

$ kubectl delete -n demo deployment/prometheus-operator
$ kubectl delete -n demo service/prometheus
$ kubectl delete -n demo service/prometheus-operated
$ kubectl delete -n demo statefulset.apps/prometheus-prometheus

$ kubectl delete clusterrolebindings prometheus-operator  prometheus
$ kubectl delete clusterrole prometheus-operator prometheus

$ kubectl delete ns demo
namespace "demo" deleted

Next Steps