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You can get a lot of information about site title in this url. And Elasticsearch, Kibana and Filebeat installation will explain under this topic.To do this you should follow steps below.
Step1:
Create new storage class on your cluster, if you dont have. This installation has been tried the which has a one worker node cluster. Then we will use the statefulset resources for installation of elasticsearch.Create new storage class on your cluster, if you dont have. This installation has been tried on the kubernetes cluster which has a one worker node cluster. Then we will use the statefulset resources for installation of elasticsearch application.
alias k=kubectl
vim st-class.yaml
apiVersion: storage.k8s.io/v1
kind: StorageClass
metadata:
name: local-storage
provisioner: kubernetes.io/no-provisioner
volumeBindingMode: WaitForFirstConsumer
k apply -f st-class.yaml
Step2:
Create folder under the your worker node to using the host path, then create persistent volume resources.
Light Info: We have been used the local storage for this installation. This storage class not supported the automatically creating pv resources. If you have another storage class like ceph and etc. you have not to create the persisten volume, because your storage class will support automaticall creating persisten volume resources. You just specify the pvc template in the statefulset yaml file that’s enough.
Run the below command under the worker node(just command of folder create)
mkdir /opt/es01 /opt/es02 /opt/es03
vim es-pv.yaml
apiVersion: v1
kind: PersistentVolume
metadata:
name: espv01
labels:
type: local01
spec:
storageClassName: "local-storage"
capacity:
storage: 1Gi
accessModes:
- ReadWriteOnce
hostPath:
path: "/opt/es01"
---
apiVersion: v1
kind: PersistentVolume
metadata:
name: espv02
labels:
type: local02
spec:
storageClassName: "local-storage"
capacity:
storage: 1Gi
accessModes:
- ReadWriteOnce
hostPath:
path: "/opt/es02"
---
apiVersion: v1
kind: PersistentVolume
metadata:
name: espv03
labels:
type: local03
spec:
storageClassName: "local-storage"
capacity:
storage: 1Gi
accessModes:
- ReadWriteOnce
hostPath:
path: "/opt/es03"
kubectl create -f es-pv.yaml
Step2:
Create service yaml file to access the elasticsearch nodes.
vim elksvc.yaml
apiVersion: v1
kind: Service
metadata:
name: es01
labels:
app: es01
spec:
ports:
- name: rest
port: 9200
protocol: TCP
- name: internode
port: 9300
protocol: TCP
selector:
app: es01
type: NodePort
---
apiVersion: v1
kind: Service
metadata:
name: es02
labels:
app: es02
spec:
ports:
- name: rest
port: 9200
protocol: TCP
selector:
app: es01
type: NodePort
kubectl create -f elksvc.yaml
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