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.
Monitoring Memcached Using Prometheus operator
Prometheus operator provides simple and Kubernetes native way to deploy and configure Prometheus server. This tutorial will show you how to use Prometheus operator to monitor Memcached server deployed with KubeDB.
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 kind.
To learn how Prometheus monitoring works with KubeDB in general, please visit here.
To keep Prometheus resources isolated, we are going to use a separate namespace called
monitoringto deploy respective monitoring resources. We are going to deploy database indemonamespace.$ kubectl create ns monitoring namespace/monitoring created $ kubectl create ns demo namespace/demo createdWe need a Prometheus operator instance running. If you don’t already have a running instance, deploy one following the docs from here.
If you already don’t have a Prometheus server running, deploy one following tutorial from here.
Note: YAML files used in this tutorial are stored in docs/examples/memcached folder in GitHub repository kubedb/docs.
Find out required labels for ServiceMonitor
We need to know the labels used to select ServiceMonitor by a Prometheus crd. We are going to provide these labels in spec.monitor.prometheus.labels field of Memcached crd so that KubeDB creates ServiceMonitor object accordingly.
At first, let’s find out the available Prometheus server in our cluster.
$ kubectl get prometheus --all-namespaces
NAMESPACE NAME AGE
monitoring prometheus 18m
If you don’t have any Prometheus server running in your cluster, deploy one following the guide specified in Before You Begin section.
Now, let’s view the YAML of the available Prometheus server prometheus in monitoring namespace.
$ kubectl get prometheus -n monitoring prometheus -o yaml
apiVersion: monitoring.coreos.com/v1
kind: Prometheus
metadata:
annotations:
kubectl.kubernetes.io/last-applied-configuration: |
{"apiVersion":"monitoring.coreos.com/v1","kind":"Prometheus","metadata":{"annotations":{},"labels":{"prometheus":"prometheus"},"name":"prometheus","namespace":"monitoring"},"spec":{"replicas":1,"resources":{"requests":{"memory":"400Mi"}},"serviceAccountName":"prometheus","serviceMonitorSelector":{"matchLabels":{"k8s-app":"prometheus"}}}}
creationTimestamp: 2019-01-03T13:41:51Z
generation: 1
labels:
prometheus: prometheus
name: prometheus
namespace: monitoring
resourceVersion: "44402"
selfLink: /apis/monitoring.coreos.com/v1/namespaces/monitoring/prometheuses/prometheus
uid: 5324ad98-0f5d-11e9-b230-080027f306f3
spec:
replicas: 1
resources:
requests:
memory: 400Mi
serviceAccountName: prometheus
serviceMonitorSelector:
matchLabels:
k8s-app: prometheus
Notice the spec.serviceMonitorSelector section. Here, k8s-app: prometheus label is used to select ServiceMonitor crd. So, we are going to use this label in spec.monitor.prometheus.labels field of Memcached crd.
Deploy Memcached with Monitoring Enabled
At first, let’s deploy an Memcached server with monitoring enabled. Below is the Memcached object that we are going to create.
apiVersion: kubedb.com/v1alpha2
kind: Memcached
metadata:
name: coreos-prom-memcd
namespace: demo
spec:
replicas: 3
version: "1.5.4-v1"
terminationPolicy: WipeOut
podTemplate:
spec:
resources:
limits:
cpu: 500m
memory: 128Mi
requests:
cpu: 250m
memory: 64Mi
monitor:
agent: prometheus.io/operator
prometheus:
serviceMonitor:
labels:
k8s-app: prometheus
interval: 10s
Here,
monitor.agent: prometheus.io/operatorindicates that we are going to monitor this server using Prometheus operator.monitor.prometheus.namespace: monitoringspecifies that KubeDB should createServiceMonitorinmonitoringnamespace.monitor.prometheus.labelsspecifies that KubeDB should createServiceMonitorwith these labels.monitor.prometheus.intervalindicates that the Prometheus server should scrape metrics from this database with 10 seconds interval.
Let’s create the Memcached object that we have shown above,
$ kubectl create -f https://github.com/kubedb/docs/raw/v2022.08.08/docs/examples/memcached/monitoring/coreos-prom-memcd.yaml
memcached.kubedb.com/coreos-prom-memcd created
Now, wait for the database to go into Running state.
$ kubectl get mc -n demo coreos-prom-memcd
NAME VERSION STATUS AGE
coreos-prom-memcd 1.5.4-v1 Running 19s
KubeDB will create a separate stats service with name {Memcached crd name}-stats for monitoring purpose.
$ kubectl get svc -n demo --selector="app.kubernetes.io/instance=coreos-prom-memcd"
NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE
coreos-prom-memcd ClusterIP 10.100.207.76 <none> 11211/TCP 41s
coreos-prom-memcd-stats ClusterIP 10.97.230.149 <none> 56790/TCP 38s
Here, coreos-prom-memcd-stats service has been created for monitoring purpose.
Let’s describe this stats service.
$ kubectl describe svc -n demo coreos-prom-memcd-stats
Name: coreos-prom-memcd-stats
Namespace: demo
Labels: app.kubernetes.io/name=memcacheds.kubedb.com
app.kubernetes.io/instance=coreos-prom-memcd
Annotations: monitoring.appscode.com/agent: prometheus.io/operator
Selector: app.kubernetes.io/name=memcacheds.kubedb.com,app.kubernetes.io/instance=coreos-prom-memcd
Type: ClusterIP
IP: 10.97.230.149
Port: prom-http 56790/TCP
TargetPort: prom-http/TCP
Endpoints: 172.17.0.7:56790,172.17.0.8:56790,172.17.0.9:56790
Session Affinity: None
Events: <none>
Notice the Labels and Port fields. ServiceMonitor will use these information to target its endpoints.
KubeDB will also create a ServiceMonitor crd in monitoring namespace that select the endpoints of coreos-prom-memcd-stats service. Verify that the ServiceMonitor crd has been created.
$ kubectl get servicemonitor -n monitoring
NAME AGE
kubedb-demo-coreos-prom-memcd 1m
Let’s verify that the ServiceMonitor has the label that we had specified in spec.monitor section of Memcached crd.
$ kubectl get servicemonitor -n monitoring kubedb-demo-coreos-prom-memcd -o yaml
apiVersion: monitoring.coreos.com/v1
kind: ServiceMonitor
metadata:
creationTimestamp: 2019-01-03T15:13:46Z
generation: 1
labels:
k8s-app: prometheus
monitoring.appscode.com/service: coreos-prom-memcd-stats.demo
name: kubedb-demo-coreos-prom-memcd
namespace: monitoring
resourceVersion: "51236"
selfLink: /apis/monitoring.coreos.com/v1/namespaces/monitoring/servicemonitors/kubedb-demo-coreos-prom-memcd
uid: 2aa57b5a-0f6a-11e9-b230-080027f306f3
spec:
endpoints:
- honorLabels: true
interval: 10s
path: /metrics
port: prom-http
namespaceSelector:
matchNames:
- demo
selector:
matchLabels:
app.kubernetes.io/name: memcacheds.kubedb.com
app.kubernetes.io/instance: coreos-prom-memcd
Notice that the ServiceMonitor has label k8s-app: prometheus that we had specified in Memcached crd.
Also notice that the ServiceMonitor has selector which match the labels we have seen in the coreos-prom-memcd-stats service. It also, target the prom-http port that we have seen in the stats service.
Verify Monitoring Metrics
At first, let’s find out the respective Prometheus pod for prometheus Prometheus server.
$ kubectl get pod -n monitoring -l=app=prometheus
NAME READY STATUS RESTARTS AGE
prometheus-prometheus-0 3/3 Running 1 63m
Prometheus server is listening to port 9090 of prometheus-prometheus-0 pod. We are going to use port forwarding to access Prometheus dashboard.
Run following command on a separate terminal to forward the port 9090 of prometheus-prometheus-0 pod,
$ kubectl port-forward -n monitoring prometheus-prometheus-0 9090
Forwarding from 127.0.0.1:9090 -> 9090
Forwarding from [::1]:9090 -> 9090
Now, we can access the dashboard at localhost:9090. Open http://localhost:9090 in your browser. You should see prom-http endpoint of coreos-prom-memcd-stats service as one of the targets.
Check the endpoint and service labels marked by red rectangle. It verifies that the target is our expected database. Now, you can view the collected metrics and create a graph from homepage of this Prometheus dashboard. You can also use this Prometheus server as data source for Grafana and create beautiful dashboard with collected metrics.
Cleaning up
To cleanup the Kubernetes resources created by this tutorial, run following commands
# cleanup database
kubectl delete -n demo mc/coreos-prom-memcd
# cleanup prometheus resources
kubectl delete -n monitoring prometheus prometheus
kubectl delete -n monitoring clusterrolebinding prometheus
kubectl delete -n monitoring clusterrole prometheus
kubectl delete -n monitoring serviceaccount prometheus
kubectl delete -n monitoring service prometheus-operated
# cleanup prometheus operator resources
kubectl delete -n monitoring deployment prometheus-operator
kubectl delete -n dmeo serviceaccount prometheus-operator
kubectl delete clusterrolebinding prometheus-operator
kubectl delete clusterrole prometheus-operator
# delete namespace
kubectl delete ns monitoring
kubectl delete ns demo
Next Steps
- Monitor your Memcached server with KubeDB using out-of-the-box builtin-Prometheus.
- Detail concepts of Memcached object.
- Use private Docker registry to deploy Memcached with KubeDB.
- Want to hack on KubeDB? Check our contribution guidelines.