Five steps to quickly deploy es with k8s

Ruijiang cloud computing 2020-11-09 16:56:35
steps quickly deploy es k8s

Today, I'm going to use five steps to teach you how to use k8s Rapid deployment ES, If you are interested in it, you can get to know ~

Because it's using local storage , So you need to create pv

1、 Create a storage class

kind: StorageClass
name: local-elasticsearch
volumeBindingMode: WaitForFirstConsumer

The storage class is pv A template declaration for

kubectl apply -f local-elasticsearch.yaml


2、 establish pv

apiVersion: v1
kind: PersistentVolume
name: local-es-0(local-es-1/local-es-2...) # It needs to be renamed 
storage: 3Gi
volumeMode: Filesystem # volumeMode field requires BlockVolume Alpha feature gate to be enabled.
- ReadWriteOnce
storageClassName: local-elasticsearch # Here is the corresponding StorageClass Name 
persistentVolumeReclaimPolicy: Retain
path: /data/local-es # Here is the path to local storage , You need to create a directory in advance 
- matchExpressions:
- key:
operator: In
- k8s-node4(xxx/yyy...) # Here is pv Where the local storage is located node The name of the node 

because es Clusters are 3 Copies , So we need to be in 3 platform node Create a local storage directory on the node , establish 3 individual pv

kubectl apply -f elasticsearch-pv-01.yaml
kubectl apply -f elasticsearch-pv-02.yaml
kubectl apply -f elasticsearch-pv-03.yaml


3、 Create a pvc, Used to mount the backup directory

apiVersion: v1
kind: PersistentVolumeClaim
name: elasticsearch-pvc
namespace: elasticsearch
- ReadWriteMany
storage: 30Gi
storageClassName: nfs-client # This is nfs A storage class of , Used to store data to nfs Of 
kubectl apply -f elasticsearch-pvc.yaml


4、 establish es Namespace

kubectl create namespace elasticsearch


5、helm Deploy
Add local helm library

helm repo add --username **** --password **** elk

nodePort Use the reserved port
there pvc.enabled Is open pvc, Is to set the binding to pvc name , Corresponding to the above created pvc

helm upgrade --install elasticsearch
elk/elasticsearch --version 7.8.0 --set service.nodePort=xxxx --set
pvc.enabled=true --set


So far, the deployment is successful

ES helm chart Detailed explanation

clusterName: "elasticsearch"
nodeGroup: "master"
# The service that non master groups will try to connect to when joining the cluster
# This should be set to clusterName + "-" + nodeGroup for your master group
masterService: ""
# Elasticsearch roles that will be applied to this nodeGroup
# These will be set as environment variables. E.g. node.master=true
master: "true"
ingest: "true"
data: "true"
replicas: 3
minimumMasterNodes: 2
esMajorVersion: ""
# Allows you to add any config files in /usr/share/elasticsearch/config/
# such as elasticsearch.yml and
elasticsearch.yml: |
# path.repo: "/usr/share/elasticsearch/myBackup"
# |
# key = value

# Extra environment variables to append to this nodeGroup
# This will be appended to the current 'env:' key. You can use any of the kubernetes env
# syntax here
extraEnvs: []
# value: the_value_goes_here
# Allows you to load environment variables from kubernetes secret or config map
envFrom: []
# - secretRef:
# name: env-secret
# - configMapRef:
# name: config-map
# A list of secrets and their paths to mount inside the pod
# This is useful for mounting certificates for security and for mounting
# the X-Pack license
secretMounts: []
# - name: elastic-certificates
# secretName: elastic-certificates
# path: /usr/share/elasticsearch/config/certs
# defaultMode: 0755
image: ""
imageTag: "7.7.1"
imagePullPolicy: "IfNotPresent"
podAnnotations: {}
# es-cluster
# additionals labels
labels: {}
esJavaOpts: "-Xmx1g -Xms1g"
cpu: "1000m"
memory: "2Gi"
cpu: "1000m"
memory: "2Gi"
initResources: {}
# limits:
# cpu: "25m"
# # memory: "128Mi"
# requests:
# cpu: "25m"
# memory: "128Mi"
sidecarResources: {}
# limits:
# cpu: "25m"
# # memory: "128Mi"
# requests:
# cpu: "25m"
# memory: "128Mi"
networkHost: ""
accessModes: ["ReadWriteOnce" ]
volumeMode: Filesystem
storageClassName: local-elasticsearch
storage: 3Gi
create: false
serviceAccountName: ""
create: false
name: ""
privileged: true
rule: RunAsAny
rule: RunAsAny
rule: RunAsAny
rule: RunAsAny
- secret
- configMap
- persistentVolumeClaim
enabled: true
annotations: {}
#annotations: { "nfs-client"}
enabled: false
name: elasticsearch-pvc
extraVolumes: []
# - name: extras
# emptyDir: {}
extraVolumeMounts: []
# - name: extras
# mountPath: /usr/share/extras
# readOnly: true
extraContainers: []
# - name: do-something
# image: busybox
# command: ['do', 'something']
extraInitContainers: []
# - name: do-something
# image: busybox
# command: ['do', 'something']
# This is the PriorityClass settings as defined in
priorityClassName: ""
# By default this will make sure two pods don't end up on the same node
# Changing this to a region would allow you to spread pods across regions
antiAffinityTopologyKey: ""
# Hard means that by default pods will only be scheduled if there are enough nodes for them
# and that they will never end up on the same node. Setting this to soft will do this "best effort"
antiAffinity: "hard"
# This is the node affinity settings as defined in
nodeAffinity: {}
# The default is to deploy all pods serially. By setting this to parallel all pods are started at
# the same time when bootstrapping the cluster
podManagementPolicy: "Parallel"
# The environment variables injected by service links are not used, but can lead to slow Elasticsearch boot times when
# there are many services in the current namespace.
# If you experience slow pod startups you probably want to set this to `false`.
enableServiceLinks: true
protocol: http
httpPort: 9200
transportPort: 9300
labels: {}
labelsHeadless: {}
type: NodePort
nodePort: 32060
annotations: {}
httpPortName: http
transportPortName: transport
loadBalancerIP: ""
loadBalancerSourceRanges: []
updateStrategy: RollingUpdate
# This is the max unavailable setting for the pod disruption budget
# The default value of 1 will make sure that kubernetes won't allow more than 1
# of your pods to be unavailable during maintenance
maxUnavailable: 1
fsGroup: 1000
runAsUser: 1000
# readOnlyRootFilesystem: true
runAsNonRoot: true
runAsUser: 1000
# How long to wait for elasticsearch to stop gracefully
terminationGracePeriod: 120
sysctlVmMaxMapCount: 262144
failureThreshold: 3
initialDelaySeconds: 10
periodSeconds: 10
successThreshold: 3
timeoutSeconds: 5
# wait_for_status
clusterHealthCheckParams: "wait_for_status=green&timeout=1s"
## Use an alternate scheduler.
## ref:
schedulerName: ""
- name: registry-secret
nodeSelector: {}
tolerations: []
# Enabling this will publically expose your Elasticsearch instance.
# Only enable this if you have security enabled on your cluster
enabled: false
annotations: {}
# nginx
# "true"
path: /
- chart-example.local
tls: []
# - secretName: chart-example-tls
# hosts:
# - chart-example.local
nameOverride: ""
fullnameOverride: ""
masterTerminationFix: false
lifecycle: {}
# preStop:
# exec:
# command: ["/bin/sh", "-c", "echo Hello from the postStart handler > /usr/share/message"]
# postStart:
# exec:
# command:
# - bash
# - -c
# - |
# #!/bin/bash
# # Add a template to adjust number of shards/replicas
# TEMPLATE_NAME=my_template
# INDEX_PATTERN="logstash-*"
# ES_URL=http://localhost:9200
# while [[ "$(curl -s -o /dev/null -w '%{http_code}\n' $ES_URL)" != "200" ]]; do sleep 1; done
# curl -XPUT "$ES_URL/_template/$TEMPLATE_NAME" -H 'Content-Type: application/json' -d'{"index_patterns":['\""$INDEX_PATTERN"\"'],"settings":{"number_of_shards":'$SHARD_COUNT',"number_of_replicas":'$REPLICA_COUNT'}}'
enabled: true
keystore: []
# Deprecated
# please use the above podSecurityContext.fsGroup instead
fsGroup: ""

These are all fields , Here are some common fields to explain , Other fields can be used by default

replicas: 3 # pod replications 
minimumMasterNodes: 2 # es Clusters are the least node Number 
esConfig: # es The configuration file , Mount it and modify it 
elasticsearch.yml: |
# path.repo: "/usr/share/elasticsearch/myBackup"
# |
# key = value

image: "" # es Mirror address used 
imageTag: "7.7.1" # es Use Mirrored tag
imagePullPolicy: "IfNotPresent" # Whether to pull the mirror again every time 
volumeClaimTemplate: # External storage templates 
accessModes: ["ReadWriteOnce" ] # Read mode 
volumeMode: Filesystem # Storage mode 
storageClassName: local-elasticsearch # Storage class name , Storage class corresponds to real storage 
storage: 3Gi # Amount of memory required 
enabled: false # Open or not pvc Storage 
name: elasticsearch-pvc # pvc name 
imagePullSecrets: # Pull private mirror warehouse secret
- name: registry-secret
nodeSelector: {} # Node selector 

That's what this time is about , Let's see you next time ! Of course , If you have a faster and more convenient way, you can also recommend it to Xiaobian ~

本文为[Ruijiang cloud computing]所创,转载请带上原文链接,感谢

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