You are looking at the documentation of a prior release. To read the documentation of the latest release, please visit here.

New to KubeDB? Please start here.

Using Prometheus with KubeDB

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

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.

Monitor with builtin Prometheus

Below is the Elasticsearch object created in this tutorial.

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

Here,

spec.monitor specifies that built-in prometheus is used to monitor this database instance.

Run following command to create example above.

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

KubeDB operator will configure its service once the Elasticsearch is successfully running.

$ kubectl get es -n demo builtin-prom-es
NAME              VERSION   STATUS     AGE
builtin-prom-es   6.3-v1    Creating   45s

KubeDB will create a separate stats service with name {Elasticsearch name}-stats for monitoring purpose.

$ kubectl get svc -n demo --selector="kubedb.com/name=builtin-prom-es"
NAME                     TYPE        CLUSTER-IP       EXTERNAL-IP   PORT(S)     AGE
builtin-prom-es          ClusterIP   10.107.102.243   <none>        9200/TCP    1m
builtin-prom-es-master   ClusterIP   10.105.170.11    <none>        9300/TCP    1m
builtin-prom-es-stats    ClusterIP   10.100.55.134    <none>        56790/TCP   49s

Let’s describe Service builtin-prom-es-stats

$ kubectl describe svc -n demo builtin-prom-es-stats
Name:              builtin-prom-es-stats
Namespace:         demo
Labels:            kubedb.com/kind=Elasticsearch
                   kubedb.com/name=builtin-prom-es
Annotations:       monitoring.appscode.com/agent=prometheus.io/builtin
                   prometheus.io/path=/kubedb.com/v1alpha1/namespaces/demo/elasticsearches/builtin-prom-es/metrics
                   prometheus.io/port=56790
                   prometheus.io/scrape=true
Selector:          kubedb.com/kind=Elasticsearch,kubedb.com/name=builtin-prom-es
Type:              ClusterIP
IP:                10.100.55.134
Port:              prom-http  56790/TCP
TargetPort:        prom-http/TCP
Endpoints:         192.168.1.96:56790
Session Affinity:  None
Events:            <none>

You can see that the service contains following annotations.

prometheus.io/path=/kubedb.com/v1alpha1/namespaces/demo/elasticsearches/builtin-prom-es/metrics
prometheus.io/port=56790
prometheus.io/scrape=true

The prometheus server will discover the service endpoint using these specifications and will scrape metrics from exporter.

Deploy and configure Prometheus server

The prometheus server is needed to configure so that it can discover endpoints of services. If a Prometheus server is already running in cluster and if it is configured in a way that it can discover service endpoints, no extra configuration will be needed.

If there is no existing Prometheus server running, rest of this tutorial will create a Prometheus server with appropriate configuration.

The configuration file of Prometheus server will be provided by ConfigMap. Create following ConfigMap with Prometheus configuration.

apiVersion: v1
kind: ConfigMap
metadata:
  name: prometheus-server-conf
  labels:
    name: prometheus-server-conf
  namespace: demo
data:
  prometheus.yml: |-
    global:
      scrape_interval: 5s
      evaluation_interval: 5s
    scrape_configs:
    - job_name: 'kubernetes-service-endpoints'

      kubernetes_sd_configs:
      - role: endpoints

      relabel_configs:
      - source_labels: [__meta_kubernetes_service_annotation_prometheus_io_scrape]
        action: keep
        regex: true
      - source_labels: [__meta_kubernetes_service_annotation_prometheus_io_scheme]
        action: replace
        target_label: __scheme__
        regex: (https?)
      - source_labels: [__meta_kubernetes_service_annotation_prometheus_io_path]
        action: replace
        target_label: __metrics_path__
        regex: (.+)
      - source_labels: [__address__, __meta_kubernetes_service_annotation_prometheus_io_port]
        action: replace
        target_label: __address__
        regex: ([^:]+)(?::\d+)?;(\d+)
        replacement: $1:$2
      - action: labelmap
        regex: __meta_kubernetes_service_label_(.+)
      - source_labels: [__meta_kubernetes_namespace]
        action: replace
        target_label: kubernetes_namespace
      - source_labels: [__meta_kubernetes_service_name]
        action: replace
        target_label: kubernetes_name

Create above ConfigMap

$ kubectl create -f https://raw.githubusercontent.com/kubedb/cli/0.9.0-rc.0/docs/examples/monitoring/builtin-prometheus/demo-1.yaml
configmap/prometheus-server-conf created

Now, the below YAML is used to deploy Prometheus in kubernetes :

apiVersion: apps/v1
kind: Deployment
metadata:
  name: prometheus-server
  namespace: demo
spec:
  replicas: 1
  selector:
    matchLabels:
      app: prometheus-server
  template:
    metadata:
      labels:
        app: prometheus-server
    spec:
      containers:
        - name: prometheus
          image: prom/prometheus:v2.1.0
          args:
            - "--config.file=/etc/prometheus/prometheus.yml"
            - "--storage.tsdb.path=/prometheus/"
          ports:
            - containerPort: 9090
          volumeMounts:
            - name: prometheus-config-volume
              mountPath: /etc/prometheus/
            - name: prometheus-storage-volume
              mountPath: /prometheus/
      volumes:
        - name: prometheus-config-volume
          configMap:
            defaultMode: 420
            name: prometheus-server-conf
        - name: prometheus-storage-volume
          emptyDir: {}

Run the following command to deploy prometheus-server

$ kubectl create -f https://raw.githubusercontent.com/kubedb/cli/0.9.0-rc.0/docs/examples/monitoring/builtin-prometheus/demo-2.yaml
clusterrole.rbac.authorization.k8s.io/prometheus-server created
serviceaccount/prometheus-server created
clusterrolebinding.rbac.authorization.k8s.io/prometheus-server created
deployment.apps/prometheus-server created
service/prometheus-service created

Wait until pods of the Deployment is running.

$ kubectl get pods -n demo --selector=app=prometheus-server
NAME                                READY     STATUS    RESTARTS   AGE
prometheus-server-9d7b799fd-pqzls   1/1       Running   0          1m

Also verify RBAC stuffs

$ kubectl get clusterrole prometheus-server -n demo
NAME                AGE
prometheus-server   1m

$ kubectl get clusterrolebinding prometheus-server -n demo
NAME                AGE
prometheus-server   2m

Prometheus Dashboard

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

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

$ minikube service prometheus-service -n demo --url
http://192.168.99.100:30901

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

Now, if you go the Prometheus Dashboard, you should see that this database endpoint as one of the targets.

Cleaning up

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

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

$ kubectl delete -n demo deployment/prometheus-server
$ kubectl delete -n demo svc/prometheus-service

$ kubectl delete clusterrole prometheus-server
$ kubectl delete clusterrolebindings  prometheus-server
$ kubectl delete serviceaccounts -n demo  prometheus-server

$ 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-box CoreOS Prometheus Operator.
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.

KubeDB

Stash

KubeVault

Voyager

ConfigSyncer

Guard

RESOURCES

Druid

Elasticsearch

FerretDB

Kafka

MariaDB

Memcached

Microsoft SQL Server

MongoDB

MySQL

OpenSearch

PerconaXtraDB

PgBouncer

Pgpool

PostgreSQL

ProxySQL

RabbitMQ

Redis

SingleStore

Solr

ZooKeeper