Kuberentes 1.20.5搭建eck
前言:
https://cloud.tencent.com/act?from=10680
https://cloud.tencent.com/act/season?from=14065
https://cloud.tencent.com/?from=10680
(照旧加几个腾讯云连接)
kubernetes1.16版本的时候安装了elastic on kubernetes(ECK)1.0版本。存储用了local disk文档跑了一年多了。elasticsearch对应版本是7.6.2。现在已完成了kubernetes 1.20.5 containerd cilium hubble 环境的搭建(https://blog.csdn.net/saynaihe/article/details/115187298)并且集成了cbs腾讯云块存储(https://blog.csdn.net/saynaihe/article/details/115212770)。eck也更新到了1.5版本(我能说我前天安装的时候还是1.4.0吗.....还好我只是简单应用没有太复杂的变化无非版本变了....那就再来一遍吧)
最早部署的kubernetes1.16版本的eck安装方式https://duiniwukenaihe.github.io/2019/10/21/k8s-efk/多年前搭建的eck1.0版本。
关于eck
elastic cloud on kubernetes是一种operator的安装方式,很大程度上简化了应用的部署。同样的还有promtheus-operator。
可参照https://www.elastic.co/guide/en/cloud-on-k8s/current/k8s-deploy-eck.html官方文档的部署方式。
1. 在kubernete集群中部署ECK
1. 安装自定义资源定义和操作员及其RBAC规则:
kubectl apply -f https://download.elastic.co/downloads/eck/1.5.0/all-in-one.yaml
2. 监视操作日志:
kubectl -n elastic-system logs -f statefulset.apps/elastic-operator
**
-----------------------分隔符-----------------
我是直接把yaml下载到本地了。
- ###至于all-in-one.yaml.1后面的1可以忽略了哈哈,第二次加载文件加后缀了。
- kubectl apply -f all-in-one.yaml
- kubectl -n elastic-system logs -f statefulset.apps/elastic-operator
2. 部署elasticsearch集群
1. 定制化elasticsearch 镜像
增加s3插件,修改时区东八区,并添加腾讯云cos的秘钥,并重新打包elasticsearch镜像.
1. DockerFile如下
- FROM docker.elastic.co/elasticsearch/elasticsearch:7.12.0
- ARG ACCESS_KEY=XXXXXXXXX
- ARG SECRET_KEY=XXXXXXX
- ARG ENDPOINT=cos.ap-shanghai.myqcloud.com
- ARG ES_VERSION=7.12.0
-
- ARG PACKAGES="net-tools lsof"
- ENV allow_insecure_settings 'true'
- RUN rm -rf /etc/localtime && cp /usr/share/zoneinfo/Asia/Shanghai /etc/localtime
-
- RUN echo 'Asia/Shanghai' > /etc/timezone
- RUN if [ -n "${PACKAGES}" ]; then yum install -y $PACKAGES && yum clean all && rm -rf /var/cache/yum; fi
- RUN \\
- /usr/share/elasticsearch/bin/elasticsearch-plugin install --batch repository-s3 && \\
- /usr/share/elasticsearch/bin/elasticsearch-keystore create && \\
- echo "XXXXXX" | /usr/share/elasticsearch/bin/elasticsearch-keystore add --stdin s3.client.default.access_key && \\
- echo "XXXXXX" | /usr/share/elasticsearch/bin/elasticsearch-keystore add --stdin s3.client.default.secret_key
2. 打包镜像并上传到腾讯云镜像仓库,也可以是其他私有仓库
- docker build -t ccr.ccs.tencentyun.com/xxxx/elasticsearch:7.12.0 .
- docker push ccr.ccs.tencentyun.com/xxxx/elasticsearch:7.12.0
2. 创建elasticsearch部署yaml文件,部署elasticsearch集群
修改了自己打包 image tag ,使用了腾讯云cbs csi块存储。并定义了部署的namespace,创建了namespace logging.
1. 创建部署elasticsearch应用的命名空间
- kubectl create ns logging
- cat <<EOF > elastic.yaml
- apiVersion: elasticsearch.k8s.elastic.co/v1
- kind: Elasticsearch
- metadata:
- name: elastic
- namespace: logging
- spec:
- version: 7.12.0
- image: ccr.ccs.tencentyun.com/XXXX/elasticsearch:7.12.0
- http:
- tls:
- selfSignedCertificate:
- disabled: true
- nodeSets:
- - name: laya
- count: 3
- podTemplate:
- spec:
- containers:
- - name: elasticsearch
- env:
- - name: ES_JAVA_OPTS
- value: -Xms2g -Xmx2g
- resources:
- requests:
- memory: 4Gi
- cpu: 0.5
- limits:
- memory: 4Gi
- cpu: 2
- config:
- node.master: true
- node.data: true
- node.ingest: true
- node.store.allow_mmap: false
- volumeClaimTemplates:
- - metadata:
- name: elasticsearch-data
- spec:
- accessModes:
- - ReadWriteOnce
- storageClassName: cbs-csi
- resources:
- requests:
- storage: 200Gi
- EOF
2. 部署yaml文件并查看应用部署状态
- kubectl apply -f elastic.yaml
- kubectl get elasticsearch -n logging
- kubectl get elasticsearch -n logging
- kubectl -n logging get pods --selector='elasticsearch.k8s.elastic.co/cluster-name=elastic'
3. 获取elasticsearch凭据
- kubectl -n logging get secret elastic-es-elastic-user -o=jsonpath='{.data.elastic}' | base64 --decode; echo
4. 直接安装kibana了
修改了时区,和elasticsearch镜像一样都修改到了东八区,并将语言设置成了中文,关于selfSignedCertificate原因参照https://www.elastic.co/guide/en/cloud-on-k8s/1.4/k8s-kibana-http-configuration.html。
- cat <<EOF > kibana.yaml
- apiVersion: kibana.k8s.elastic.co/v1
- kind: Kibana
- metadata:
- name: elastic
- namespace: logging
- spec:
- version: 7.12.0
- image: docker.elastic.co/kibana/kibana:7.12.0
- count: 1
- elasticsearchRef:
- name: elastic
- http:
- tls:
- selfSignedCertificate:
- disabled: true
- podTemplate:
- spec:
- containers:
- - name: kibana
- env:
- - name: I18N_LOCALE
- value: zh-CN
- resources:
- requests:
- memory: 1Gi
- limits:
- memory: 2Gi
- volumeMounts:
- - name: timezone-volume
- mountPath: /etc/localtime
- readOnly: true
- volumes:
- - name: timezone-volume
- hostPath:
- path: /usr/share/zoneinfo/Asia/Shanghai
- EOF
- kubectl apply kibana.yaml
5. 对外映射kibana 服务
对外暴露都是用traefik https 代理,命名空间添加tls secret。绑定内部kibana service.然后外部slb udp代理443端口。但是现在腾讯云slb可以挂载多个证书了,就把这层剥离了,直接http方式到80端口 。然后https 证书 都在slb负载均衡代理了。这样省心了证书的管理,还有一点是可以在slb层直接收集接入层日志到cos。并可使用腾讯云自有的日志服务。
- cat <<EOF > ingress.yaml
- apiVersion: traefik.containo.us/v1alpha1
- kind: IngressRoute
- metadata:
- name: kibana-kb-http
- namespace: logging
- spec:
- entryPoints:
- - web
- routes:
- - match: Host(`kibana.XXXXX.com`)
- kind: Rule
- services:
- - name: elastic-kb-http
- port: 5601
- EOF
- kubectl apply -f ingress.yaml
输入 用户名elastic 密码为上面获取的elasticsearch的凭据,进入管理页面。新界面很是酷炫
6. now 要添加快照仓库了
创建快照仓库跟S3方式是一样的,具体的可以参考https://blog.csdn.net/ypc123ypc/article/details/87860583这篇博文
- PUT _snapshot/esbackup
- {
- "type": "s3",
- "settings": {
- "endpoint":"cos.ap-shanghai.myqcloud.com",
- "region": "ap-shanghai",
- "compress" : "true",
- "bucket": "elastic-XXXXXXX"
- }
- }
OK 进行验证快照仓库是否添加成功
还原一个试试?
可还行?等待变绿
基本完成。正常可以使用了。使用过程中还有很多注意的。关键还是集群的设计规划。数据的预估增长还有报警。下次有时间列一下Elastalert在kubernetes中的部署应用。