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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.agentindicates the monitoring agent. Currently only valid value currently iscoreos-prometheus-operatormonitor.prometheusspecifies the information for monitoring by prometheusprometheus.namespacespecifies the namespace where ServiceMonitor is created.prometheus.labelsspecifies the labels applied to ServiceMonitor.prometheus.portindicates the port for Elasticsearch exporter endpoint (default is56790)prometheus.intervalindicates 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.
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
- Learn about taking instant backup of Elasticsearch database using KubeDB.
- Learn how to schedule backup of Elasticsearch database.
- Learn about initializing Elasticsearch with Snapshot.
- Learn how to configure Elasticsearch Topology.
- Monitor your Elasticsearch database with KubeDB using
out-of-the-boxbuiltin-Prometheus. - Detail concepts of Elasticsearch object.
- Detail concepts of Snapshot object.
- Use private Docker registry to deploy Elasticsearch with KubeDB.
- Wondering what features are coming next? Please visit here.
- Want to hack on KubeDB? Check our contribution guidelines.