Helm安装带验证的ElasticSearch 6.x 7.x 集群

前言

在之前,我们增加ES权限验证,常用的方法就是添加HTTP密码,但是,对于使用来说不是很友好,X-pack好用,但是是收费的。不过,在ES6以后,X-pack陆续放开了一些功能,比如Monitor集群监控功能,ES6.8及以后版本ES又将部分安全性功能免费开放了,包含安全认证功能,之后版本又开放一些基础认证功能,本文就介绍使用x-pack来实现ES集群版本的认证。单机版ES不涉及证书等问题,直接安装即可。

准备镜像

本文把官方镜像打了个tag,当然也可以直接用官方镜像。

FROM  docker.elastic.co/elasticsearch/elasticsearch:6.8.6
ADD elastic-certificates.p12  /usr/share/elasticsearch/config/
RUN chown elasticsearch /usr/share/elasticsearch/config/elastic-certificates.p12 

将镜像推到自己的镜像仓库:

$ docker tag docker.elastic.co/elasticsearch/elasticsearch:6.8.6 aresxin/elasticsearch:6.8.6 
$ docker pull aresxin/elasticsearch:6.8.6 

生成证书

生成集群证书elastic-certificates.p12。
es提供了生成证书的工具elasticsearch-certutil,需要在docker实例中生成它,然后复制出来,供集群使用。

$ docker run -dit --name=es aresxin/elasticsearch:6.8.6   /bin/bash
$ docker exec -it es /bin/bash
# 生成ca: elastic-stack-ca.p12,容器内操作
$ ./bin/elasticsearch-certutil ca
# 生成cert: elastic-certificates.p12
$ ./bin/elasticsearch-certutil cert --ca elastic-stack-ca.p12

ctrl+d退出容器内部,复制出证书:

$ docker cp es:/usr/share/elasticsearch/elastic-certificates.p12 .
# 关闭这个容器
$ docker kill es
$ docker rm es

添加证书到 Kubernetes

将上面生成的elastic-certificates.p12中的信息分离出来,写入文件。

$  openssl pkcs12 -nodes -passin pass:'' -in elastic-certificates.p12 -out elastic-certificate.pem

添加证书到 Kubernetes:

#   添加证书
$ kubectl create secret -n $namespace generic elastic-certificates --from-file=elastic-certificates.p12
$ kubectl create secret -n $namespace  generic elastic-certificate-pem --from-file=elastic-certificate.pem

#   设置集群用户名密码
$ kubectl create secret -n $namespace  generic elastic-credentials \
  --from-literal=username=elastic --from-literal=password=$password

配置helm模板

ElasticSearch Master 安装的配置文件:

# 集群名称
clusterName: "es-01"
# 节点名称
nodeGroup: "master"

masterService: ""
# 设置role
roles:
  master: "true"
  ingest: "false"
  data: "false"

replicas: 2

minimumMasterNodes: 2

esMajorVersion: "6"

# # ElasticSearch 6.8+ 默认安装了 x-pack 插件,部分功能免费
esConfig: 
 elasticsearch.yml: |
    network.host: 0.0.0.0
    cluster.name: "es-01"
    xpack.security.enabled: true
    xpack.security.transport.ssl.enabled: true
    xpack.security.transport.ssl.verification_mode: certificate
    xpack.security.transport.ssl.keystore.path: elastic-certificates.p12
    xpack.security.transport.ssl.truststore.path: elastic-certificates.p12
# 环境变量配置,引入上面设置的用户名、密码 secret文件
extraEnvs:
  - name: ELASTIC_USERNAME
    valueFrom:
      secretKeyRef:
        name: elastic-credentials
        key: username
  - name: ELASTIC_PASSWORD
    valueFrom:
      secretKeyRef:
        name: elastic-credentials
        key: password
        
imagePullSecrets:
  - name: xx
  - 
image: "aresxin/elasticsearch"
imageTag: "6.8.6"
imagePullPolicy: "Always"

esJavaOpts: "-Xmx1g -Xms1g"

resources:
  requests:
    cpu: "100m"
    memory: "2Gi"
  limits:
    cpu: "1000m"
    memory: "2Gi"

volumeClaimTemplate:
  accessModes: [ "ReadWriteOnce" ]
  resources:
    requests:
      storage: 50Gi

persistence:
  enabled: true
# 设置协议,可配置为 http、https
protocol: http
httpPort: 9200
transportPort: 9300

ElasticSearch Data 安装的配置文件:

clusterName: "es-01"
nodeGroup: "data"

masterService: "es-01-master"

roles:
  master: "false"
  ingest: "true"
  data: "true"

replicas: 2

minimumMasterNodes: 2

esMajorVersion: "6"

imagePullSecrets:
  - name: xx
  
esConfig: 
 elasticsearch.yml: |
    network.host: 0.0.0.0
    cluster.name: "es-01"
    xpack.security.enabled: true
    xpack.security.transport.ssl.enabled: true
    xpack.security.transport.ssl.verification_mode: certificate
    xpack.security.transport.ssl.keystore.path: elastic-certificates.p12
    xpack.security.transport.ssl.truststore.path: elastic-certificates.p12

extraEnvs:
  - name: ELASTIC_USERNAME
    valueFrom:
      secretKeyRef:
        name: elastic-credentials
        key: username
  - name: ELASTIC_PASSWORD
    valueFrom:
      secretKeyRef:
        name: elastic-credentials
        key: password
        
image: "aresxin/elasticsearch"
imageTag: "6.8.6"
imagePullPolicy: "Always"

esJavaOpts: "-Xmx1g -Xms1g"

resources:
  requests:
    cpu: "100m"
    memory: "2Gi"
  limits:
    cpu: "1000m"
    memory: "2Gi"

volumeClaimTemplate:
  accessModes: [ "ReadWriteOnce" ]
  resources:
    requests:
      storage: 1000Gi
 
persistence:
  enabled: true

protocol: http
httpPort: 9200
transportPort: 9300

使用Helm安装ES

ElasticSearch 的 Helm Chart 模板是 ES 官方 Github 获取的,它的 Github 地址为 https://github.com/elastic/helm-charts。

# Helm 增加 Elastic 仓库
$ helm repo add elastic https://helm.elastic.co
# 安装 ElasticSearch Master 节点
$ helm install elasticsearch-master -f es-master.yaml --namespace $namespace --version 6.8.6 elastic/elasticsearch

# 安装 ElasticSearch Data 节点
$ helm install elasticsearch-data -f es-data.yaml --namespace $namespace --version 6.8.6 elastic/elasticsearch

# 查看资源
$ kubectl get pod -n $namespace
es-01-data-0                                  1/1     Running   0          1m
es-01-data-1                                  1/1     Running   0          1m
es-01-master-0                                1/1     Running   0          1m
es-01-master-1                                1/1     Running   0          1m

测试访问:

# curl  xx:9200
{"error":{"root_cause":[{"type":"security_exception","reason":"missing authentication token for REST request [/]","header":{"WWW-Authenticate":"Basic realm=\"security\" charset=\"UTF-8\""}}],"type":"security_exception","reason":"missing authentication token for REST request [/]","header":{"WWW-Authenticate":"Basic realm=\"security\" charset=\"UTF-8\""}},"status":401}
# curl -u elastic:$password  xx:9200
{
  "name" : "es-01-data-1",
  "cluster_name" : "es-01",
  "cluster_uuid" : "8eNkuEcpSWa1tLGoSyN_Xg",
  "version" : {
    "number" : "6.8.6",
    "build_flavor" : "default",
    "build_type" : "docker",
    "build_hash" : "3d9f765",
    "build_date" : "2019-12-13T17:11:52.013738Z",
    "build_snapshot" : false,
    "lucene_version" : "7.7.2",
    "minimum_wire_compatibility_version" : "5.6.0",
    "minimum_index_compatibility_version" : "5.0.0"
  },
  "tagline" : "You Know, for Search"
}

至此,使用Helm部署带认证的ES集群完毕!

posted @ 2020-07-07 23:09  我是一条最咸的咸鱼  阅读(495)  评论(0编辑  收藏
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