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Using Prometheus with KubeDB

This tutorial will show you how to monitor KubeDB databases 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. Run the following command to prepare your cluster for this tutorial:

$ kubectl create -f https://raw.githubusercontent.com/kubedb/cli/0.8.0-beta.2/docs/examples/mongodb/demo-0.yaml
namespace "demo" created

$ kubectl get ns
NAME          STATUS    AGE
default       Active    45m
demo          Active    10s
kube-public   Active    45m
kube-system   Active    45m

Note that the yaml files that are used in this tutorial, stored in docs/examples folder in GitHub repository kubedb/cli.

Create a MongoDB database

KubeDB implements a MongoDB CRD to define the specification of a MongoDB database. Below is the MongoDB object created in this tutorial.

apiVersion: kubedb.com/v1alpha1
kind: MongoDB
metadata:
  name: mgo-mon-prometheus
  namespace: demo
spec:
  version: 3.4
  storage:
    storageClassName: "standard"
    accessModes:
    - ReadWriteOnce
    resources:
      requests:
        storage: 50Mi
  monitor:
    agent: prometheus.io/builtin

$ kubedb create -f https://raw.githubusercontent.com/kubedb/cli/0.8.0-beta.2/docs/examples/mongodb/monitoring/builtin-prometheus/demo-1.yaml
validating "https://raw.githubusercontent.com/kubedb/cli/0.8.0-beta.2/docs/examples/mongodb/monitoring/builtin-prometheus/demo-1.yaml"
mongodb "mgo-mon-prometheus" created

Here,

spec.version is the version of MongoDB database. In this tutorial, a MongoDB 3.4 database is going to be created.
spec.storage specifies the StorageClass of PVC dynamically allocated to store data for this database. This storage spec will be passed to the StatefulSet created by KubeDB operator to run database pods. You can specify any StorageClass available in your cluster with appropriate resource requests. If no storage spec is given, an emptyDir is used.
spec.monitor specifies that built-in Prometheus is used to monitor this database instance. KubeDB operator will configure the service of this database in a way that the Prometheus server will automatically find out the service endpoint aka MongoDB Exporter and will receive metrics from exporter.

KubeDB operator watches for MongoDB objects using Kubernetes api. When a MongoDB object is created, KubeDB operator will create a new StatefulSet and a ClusterIP Service with the matching crd name. KubeDB operator will also create a governing service for StatefulSets with the name kubedb, if one is not already present.

$ kubedb get mg -n demo
NAME                 STATUS     AGE
mgo-mon-prometheus   Creating   30s


$ kubedb get mg -n demo
NAME                 STATUS    AGE
mgo-mon-prometheus   Running   10m

$ kubedb describe mg -n demo mgo-mon-prometheus
Name:		mgo-mon-prometheus
Namespace:	demo
StartTimestamp:	Mon, 05 Feb 2018 17:38:29 +0600
Status:		Running
Volume:
  StorageClass:	standard
  Capacity:	50Mi
  Access Modes:	RWO

StatefulSet:
  Name:			mgo-mon-prometheus
  Replicas:		1 current / 1 desired
  CreationTimestamp:	Mon, 05 Feb 2018 17:37:54 +0600
  Pods Status:		1 Running / 0 Waiting / 0 Succeeded / 0 Failed

Service:
  Name:		mgo-mon-prometheus
  Type:		ClusterIP
  IP:		10.104.88.103
  Port:		db		27017/TCP
  Port:		prom-http	56790/TCP

Database Secret:
  Name:	mgo-mon-prometheus-auth
  Type:	Opaque
  Data
  ====
  user:		4 bytes
  password:	16 bytes

Monitoring System:
  Agent:	prometheus.io/builtin
  Prometheus:
    Namespace:
    Interval:

No Snapshots.

Events:
  FirstSeen   LastSeen   Count     From               Type       Reason       Message
  ---------   --------   -----     ----               --------   ------       -------
  15m         15m        1         MongoDB operator   Normal     Successful   Successfully patched StatefulSet
  15m         15m        1         MongoDB operator   Normal     Successful   Successfully patched MongoDB
  15m         15m        1         MongoDB operator   Normal     Successful   Successfully patched StatefulSet
  15m         15m        1         MongoDB operator   Normal     Successful   Successfully patched MongoDB

Since spec.monitoring was configured, the database service object is configured accordingly. You can verify it running the following commands:

$ kubectl get services -n demo
NAME                 TYPE        CLUSTER-IP      EXTERNAL-IP   PORT(S)               AGE
kubedb               ClusterIP   None            <none>        <none>                22m
mgo-mon-prometheus   ClusterIP   10.104.88.103   <none>        27017/TCP,56790/TCP   22m

$ kubectl get services mgo-mon-prometheus -n demo -o yaml
apiVersion: v1
kind: Service
metadata:
  annotations:
    monitoring.appscode.com/agent: prometheus.io/builtin
    prometheus.io/path: /kubedb.com/v1alpha1/namespaces/demo/mongodbs/mgo-mon-prometheus/metrics
    prometheus.io/port: "56790"
    prometheus.io/scrape: "true"
  creationTimestamp: 2018-02-05T11:37:53Z
  labels:
    kubedb.com/kind: MongoDB
    kubedb.com/name: mgo-mon-prometheus
  name: mgo-mon-prometheus
  namespace: demo
  resourceVersion: "1709"
  selfLink: /api/v1/namespaces/demo/services/mgo-mon-prometheus
  uid: 00a3de77-0a69-11e8-9639-080027869227
spec:
  clusterIP: 10.104.88.103
  ports:
  - name: db
    port: 27017
    protocol: TCP
    targetPort: db
  - name: prom-http
    port: 56790
    protocol: TCP
    targetPort: prom-http
  selector:
    kubedb.com/kind: MongoDB
    kubedb.com/name: mgo-mon-prometheus
  sessionAffinity: None
  type: ClusterIP
status:
  loadBalancer: {}

We can see that the service contains these specific annotations. The Prometheus server will discover the exporter using these specifications.

prometheus.io/path: ...
prometheus.io/port: ...
prometheus.io/scrape: ...

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 to Prometheus-Server will be provided by ConfigMap. The below config map will be created:

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

$ kubectl create -f https://raw.githubusercontent.com/kubedb/cli/0.8.0-beta.2/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: {}

In RBAC enabled cluster

If RBAC is enabled, Run the following command to deploy prometheus in kubernetes:

$ kubectl create -f https://raw.githubusercontent.com/kubedb/cli/0.8.0-beta.2/docs/examples/monitoring/builtin-prometheus/rbac/demo-2.yaml
clusterrole "prometheus-server" created
serviceaccount "prometheus-server" created
clusterrolebinding "prometheus-server" created
deployment "prometheus-server" created
service "prometheus-service" created

# Verify RBAC stuffs
$ kubectl get clusterroles
NAME                AGE
prometheus-server   57s

$ kubectl get clusterrolebindings
NAME                AGE
prometheus-server   1m


$ kubectl get serviceaccounts -n demo
NAME                SECRETS   AGE
default             1         48m
prometheus-server   1         1m

In RBAC not enabled cluster

If RBAC is not enabled, Run the following command to prepare your cluster for this tutorial:

$ kubectl create -f https://raw.githubusercontent.com/kubedb/cli/0.8.0-beta.2/docs/examples/monitoring/builtin-prometheus/demo-2.yaml
deployment "prometheus-server" created
service "prometheus-service" created


$ kubectl get pods -n demo --watch
NAME                                     READY     STATUS    RESTARTS   AGE
mgo-mon-prometheus-0                     2/2       Running   0          48m
prometheus-server-79c7cf44fc-m95lm       1/1       Running   0          34s

Prometheus Dashboard

Now to open prometheus dashboard on Browser:

$ kubectl get svc -n demo
NAME                 TYPE           CLUSTER-IP       EXTERNAL-IP   PORT(S)               AGE
kubedb               ClusterIP      None             <none>        <none>                59m
mgo-mon-prometheus   ClusterIP      10.104.88.103    <none>        27017/TCP,56790/TCP   59m
prometheus-service   LoadBalancer   10.103.201.246   <pending>     9090:30901/TCP        8s


$ minikube ip
192.168.99.100

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

Now, open your browser and go to the following URL: http://{minikube-ip}:{prometheus-svc-nodeport} to visit Prometheus Dashboard. According to the above example, this URL will be http://192.168.99.100:30901.

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

Cleaning up

To cleanup the Kubernetes resources created by this tutorial, run:

$ kubedb delete mg,drmn,snap -n demo --all --force

# In rbac enabled cluster,
# $ 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

Monitor your MongoDB database with KubeDB using out-of-the-box CoreOS Prometheus Operator.
Detail concepts of MongoDB object.
Snapshot and Restore process of MongoDB databases using KubeDB.
Take Scheduled Snapshot of MongoDB databases using KubeDB.
Initialize MongoDB with Script.
Initialize MongoDB with Snapshot.
Use private Docker registry to deploy MongoDB with KubeDB.
Wondering what features are coming next? Please visit here.
Want to hack on KubeDB? Check our contribution guidelines.

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