这篇文章主要介绍“docker怎么部署EFK日志系统”，在日常操作中，相信很多人在docker怎么部署EFK日志系统问题上存在疑惑，小编查阅了各式资料，整理出简单好用的操作方法，希望对大家解答”docker怎么部署EFK日志系统”的疑惑有所帮助！接下来，请跟着小编一起来学习吧！
一个完整的k8s集群，应该包含如下六大部分：kube-dns、ingress-controller、metrics server监控系统、dashboard、存储和EFK日志系统。
我们的日志系统要部署在k8s集群之外，这样即使整个k8s集群宕机了，我们还能从外置的日志系统查看到k8s宕机前的日志。
另外，我们生产部署的日志系统要单独放在一个存储卷上。这里我们为了方便，本次测试关闭了日志系统的存储卷功能。
1、添加incubator源（这个源是开发版的安装包，用起来可能不稳定）
访问https://hub.kubeapps.com/charts
[root@master ~]# helm repo list NAME URL local http://127.0.0.1:8879/charts stablehttps://kubernetes.oss-cn-hangzhou.aliyuncs.com/charts
[root@master efk]# helm repo add incubator https://kubernetes-charts-incubator.storage.googleapis.com "incubator" has been added to your repositories
[root@master efk]# helm repo list NAME URL local http://127.0.0.1:8879/charts stable https://kubernetes.oss-cn-hangzhou.aliyuncs.com/charts incubatorhttps://kubernetes-charts-incubator.storage.googleapis.com
2、下载elasticsearch
[root@master efk]# helm fetch incubator/elasticsearch [root@master efk]# ls elasticsearch-1.10.2.tgz [root@master efk]# tar -xvf elasticsearch-1.10.2.tgz
3、关闭存储卷（生产上不要关，我们这里为了测试方便才关的）
[root@master efk]# vim elasticsearch/values.yaml 把 persistence: enabled: true 改成 persistence: enabled: false 有两处需要改
上面我们关闭了存储卷的功能，而改用本地目录来存储日志。
4、创建单独的名称空间
[root@master efk]# kubectl create namespace efk namespace/logs created
[root@master efk]# kubectl get ns NAME STATUS AGE ekf Active 13s
5、把elasticsearch安装在efk名称空间中
[root@master efk]# helm install --name els1 --namespace=efk -f elasticsearch/values.yaml incubator/elasticsearch
NAME: els1
LAST DEPLOYED: Thu Oct 18 01:59:15 2018
NAMESPACE: efk
STATUS: DEPLOYED
RESOURCES:
==> v1/Pod(related)
NAME READY STATUS RESTARTS AGE
els1-elasticsearch-client-58899f6794-gxn7x 0/1 Pending 0 0s
els1-elasticsearch-client-58899f6794-mmqq6 0/1 Pending 0 0s
els1-elasticsearch-data-0 0/1 Pending 0 0s
els1-elasticsearch-master-0 0/1 Pending 0 0s
==> v1/ConfigMap
NAME DATA AGE
els1-elasticsearch 4 1s
==> v1/Service
NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE
els1-elasticsearch-client ClusterIP 10.103.147.142 <none> 9200/TCP 0s
els1-elasticsearch-discovery ClusterIP None <none> 9300/TCP 0s
==> v1beta1/Deployment
NAME DESIRED CURRENT UP-TO-DATE AVAILABLE AGE
els1-elasticsearch-client 2 0 0 0 0s
==> v1beta1/StatefulSet
NAME DESIRED CURRENT AGE
els1-elasticsearch-data 2 1 0s
els1-elasticsearch-master 3 1 0s
NOTES:
The elasticsearch cluster has been installed.
***
Please note that this chart has been deprecated and moved to stable.
Going forward please use the stable version of this chart.
***
Elasticsearch can be accessed:
* Within your cluster, at the following DNS name at port 9200:
els1-elasticsearch-client.efk.svc
* From outside the cluster, run these commands in the same shell:
export POD_NAME=$(kubectl get pods --namespace efk -l "app=elasticsearch,component=client,release=els1" -o jsonpath="{.items[0].metadata.name}")
echo "Visit http://127.0.0.1:9200 to use Elasticsearch"
kubectl port-forward --namespace efk $POD_NAME 9200:9200 说明：--name els1是chart部署后的release名字，名字自己随便取就行。
上面我们是通过values.yaml文件在线安装的els。但是我们已经下载els安装包了，也可以通过下载的els包进行离线安装，如下：
[root@master efk]# ls elasticsearch elasticsearch-1.10.2.tgz
[root@master efk]# helm install --name els1 --namespace=efk ./elasticsearch
说明：./elasticsearch就是当前els安装包目录的名字。
安装完后，我们就能在efk名称空间中看到相应的pods资源了（我在安装elasticsearch时，当时是安装不上的，因为说是打不开elasticseartch的官网，也就是不能再这个官网下载镜像，后来我就放置了两天没管，再登录上看，发现镜像竟然自己下载好了，真是有意思）
[root@master efk]# kubectl get pods -n efk -o wide NAME READY STATUS RESTARTS AGE IP NODE els1-elasticsearch-client-78b54979c5-kzj7z 1/1 Running 2 1h 10.244.2.157 node2 els1-elasticsearch-client-78b54979c5-xn2gb 1/1 Running 1 1h 10.244.2.151 node2 els1-elasticsearch-data-0 1/1 Running 0 1h 10.244.1.165 node1 els1-elasticsearch-data-1 1/1 Running 0 1h 10.244.2.169 node2 els1-elasticsearch-master-0 1/1 Running 0 1h 10.244.1.163 node1 els1-elasticsearch-master-1 1/1 Running 0 1h 10.244.2.168 node2 els1-elasticsearch-master-2 1/1 Running 0 57m 10.244.1.170 node1
查看安装好的release：
[root@master efk]# helm list NAME REVISIONUPDATED STATUS CHART NAMESPACE els1 1 Thu Oct 18 23:11:54 2018DEPLOYEDelasticsearch-1.10.2efk
查看els1的状态：
[root@k8s-master1 ~]# helm status els1
* Within your cluster, at the following DNS name at port 9200:
els1-elasticsearch-client.efk.svc ##这个就是els1 service的主机名
* From outside the cluster, run these commands in the same shell:
export POD_NAME=$(kubectl get pods --namespace efk -l "app=elasticsearch,component=client,release=els1" -o jsonpath="{.items[0].metadata.name}")
echo "Visit http://127.0.0.1:9200 to use Elasticsearch"
kubectl port-forward --namespace efk $POD_NAME 9200:9200cirror是专门为测试虚拟环境的客户端，它可以快速创建一个kvm的虚拟机，一共才几兆的大小，而且里面提供的工具还是比较完整的。
下面我们运行cirror：
[root@k8s-master1 ~]# kubectl run cirror-$RANDOM --rm -it --image=cirros -- /bin/sh kubectl run --generator=deployment/apps.v1beta1 is DEPRECATED and will be removed in a future version. Use kubectl create instead. If you don't see a command prompt, try pressing enter. / # / # nslookup els1-elasticsearch-client.efk.svc Server: 10.96.0.10 Address 1: 10.96.0.10 kube-dns.kube-system.svc.cluster.local Name: els1-elasticsearch-client.efk.svc Address 1: 10.103.105.170 els1-elasticsearch-client.efk.svc.cluster.local
-rm：表示退出我们就直接删除掉
-it：表示交互式登录
上面我们看到els1-elasticsearch-client.efk.svc服务名解析出来的ip地址。
下面我们再访问http:els1-elasticsearch-client.efk.svc:9200 页面：
/ # curl els1-elasticsearch-client.efk.svc:9200
curl: (6) Couldn't resolve host 'els1-elasticsearch-client.efk.svc'
/ #
/ # curl els1-elasticsearch-client.efk.svc.cluster.local:9200
{
"name" : "els1-elasticsearch-client-b898c9d47-5gwzq",
"cluster_name" : "elasticsearch",
"cluster_uuid" : "RFiD2ZGWSAqM2dF6wy24Vw",
"version" : {
"number" : "6.4.2",
"build_flavor" : "oss",
"build_type" : "tar",
"build_hash" : "04711c2",
"build_date" : "2018-09-26T13:34:09.098244Z",
"build_snapshot" : false,
"lucene_version" : "7.4.0",
"minimum_wire_compatibility_version" : "5.6.0",
"minimum_index_compatibility_version" : "5.0.0"
},
"tagline" : "You Know, for Search"
} 看里面的内容：
/ # curl els1-elasticsearch-client.efk.svc.cluster.local:9200/_cat
=^.^=
/_cat/allocation
/_cat/shards
/_cat/shards/{index}
/_cat/master
/_cat/nodes
/_cat/tasks
/_cat/indices
/_cat/indices/{index}
/_cat/segments
/_cat/segments/{index}
/_cat/count
/_cat/count/{index}
/_cat/recovery
/_cat/recovery/{index}
/_cat/health
/_cat/pending_tasks
/_cat/aliases
/_cat/aliases/{alias}
/_cat/thread_pool
/_cat/thread_pool/{thread_pools}
/_cat/plugins
/_cat/fielddata
/_cat/fielddata/{fields}
/_cat/nodeattrs
/_cat/repositories
/_cat/snapshots/{repository}
/_cat/templates 看有几个节点：
/ # curl els1-elasticsearch-client.efk.svc.cluster.local:9200/_cat/nodes 10.244.2.104 23 95 0 0.00 0.02 0.05 di - els1-elasticsearch-data-0 10.244.4.83 42 99 1 0.01 0.11 0.13 mi * els1-elasticsearch-master-1 10.244.4.81 35 99 1 0.01 0.11 0.13 i - els1-elasticsearch-client-b898c9d47-5gwzq 10.244.4.84 31 99 1 0.01 0.11 0.13 mi - els1-elasticsearch-master-2 10.244.2.105 35 95 0 0.00 0.02 0.05 i - els1-elasticsearch-client-b898c9d47-shqd2 10.244.4.85 18 99 1 0.01 0.11 0.13 di - els1-elasticsearch-data-1 10.244.4.82 40 99 1 0.01 0.11 0.13 mi - els1-elasticsearch-master-0
6、把fluentd安装在efk空间中
[root@k8s-master1 ~]# helm fetch incubator/fluentd-elasticsearch
[root@k8s-master1 ~]# tar -xvf fluentd-elasticsearch-0.7.2.tgz
[root@k8s-master1 ~]# cd fluentd-elasticsearch
[root@k8s-master1 fluentd-elasticsearch]# vim values.yaml
1、改其中的host: 'elasticsearch-client'，改成host: 'els1-elasticsearch-client.efk.svc.cluster.local'表示到哪找我们的elasticsearch服务。
2、改tolerations污点，表示让k8s master也能接受部署fluentd pod，这样才能收集主节点的日志：
把
tolerations: {}
# - key: node-role.kubernetes.io/master
# operator: Exists
# effect: NoSchedule
改成
tolerations:
- key: node-role.kubernetes.io/master
operator: Exists
effect: NoSchedule
3、改annotations，这样也就能收集监控prometheus的日志了
把
annotations: {}
# prometheus.io/scrape: "true"
# prometheus.io/port: "24231"
改成
annotations:
prometheus.io/scrape: "true"
prometheus.io/port: "24231"
同时把
service: {}
# type: ClusterIP
# ports:
# - name: "monitor-agent"
# port: 24231
改成
service:
type: ClusterIP
ports:
- name: "monitor-agent"
port: 24231
这样通过service 24231找监控prometheus的fluentd 开始安装fluentd：
[root@k8s-master1 fluentd-elasticsearch]# helm install --name fluentd1 --namespace=efk -f values.yaml ./
[root@k8s-master1 fluentd-elasticsearch]# helm list NAME REVISIONUPDATED STATUS CHART NAMESPACE els1 1 Sun Nov 4 09:37:35 2018DEPLOYEDelasticsearch-1.10.2 efk fluentd11 Tue Nov 6 09:28:42 2018DEPLOYEDfluentd-elasticsearch-0.7.2efk
[root@k8s-master1 fluentd-elasticsearch]# kubectl get pods -n efk NAME READY STATUS RESTARTS AGE els1-elasticsearch-client-b898c9d47-5gwzq 1/1 Running 0 47h els1-elasticsearch-client-b898c9d47-shqd2 1/1 Running 0 47h els1-elasticsearch-data-0 1/1 Running 0 47h els1-elasticsearch-data-1 1/1 Running 0 45h els1-elasticsearch-master-0 1/1 Running 0 47h els1-elasticsearch-master-1 1/1 Running 0 45h els1-elasticsearch-master-2 1/1 Running 0 45h fluentd1-fluentd-elasticsearch-9k456 1/1 Running 0 2m28s fluentd1-fluentd-elasticsearch-dcnsc 1/1 Running 0 2m28s fluentd1-fluentd-elasticsearch-p5h88 1/1 Running 0 2m28s fluentd1-fluentd-elasticsearch-sdvn9 1/1 Running 0 2m28s fluentd1-fluentd-elasticsearch-ztm9s 1/1 Running 0 2m28s
7、把kibanna安装在efk空间中
注意，安装kibana的版本号一定要和elasticsearch的版本号一致，否则二者无法结合起来。
[root@k8s-master1 ~]# helm fetch stable/kibana [root@k8s-master1 ~]# ls kibana-0.2.2.tgz
[root@k8s-master1 ~]# tar -xvf kibana-0.2.2.tgz [root@k8s-master1 ~]# cd kibana
[root@t-cz-mysql1 appuser]# vim last_10_null_sql.txt 修改ELASTICSEARCH_URL为： ELASTICSEARCH_URL: els的域名是通过helm status els1输出结果查看到： [root@k8s-master1 ~]# helm status els1 * Within your cluster, at the following DNS name at port 9200: els1-elasticsearch-client.efk.svc 另外，把vim last_10_null_sql.txt中 service: type: ClusterIP externalPort: 443 internalPort: 5601 改成 service: type: NodePort externalPort: 443 internalPort: 5601
开始部署kibana：
[root@k8s-master1 kibana]# helm install --name=kib1 --namespace=efk -f values.yaml ./ ==> v1/Service NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE kib1-kibana NodePort 10.108.188.4 <none> 443:31865/TCP 0s
[root@k8s-master1 kibana]# kubectl get svc -n efk NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE els1-elasticsearch-client ClusterIP 10.103.105.170 <none> 9200/TCP 2d22h els1-elasticsearch-discovery ClusterIP None <none> 9300/TCP 2d22h kib1-kibana NodePort 10.108.188.4 <none> 443:31865/TCP 4m27s
[root@k8s-master1 kibana]# kubectl get pods -n efk NAME READY STATUS RESTARTS AGE els1-elasticsearch-client-b898c9d47-5gwzq 1/1 Running 0 2d22h els1-elasticsearch-client-b898c9d47-shqd2 1/1 Running 0 2d22h els1-elasticsearch-data-0 1/1 Running 0 22h els1-elasticsearch-data-1 1/1 Running 0 22h els1-elasticsearch-master-0 1/1 Running 0 2d22h els1-elasticsearch-master-1 1/1 Running 0 2d19h els1-elasticsearch-master-2 1/1 Running 0 2d19h fluentd1-fluentd-elasticsearch-9k456 1/1 Running 0 22h fluentd1-fluentd-elasticsearch-dcnsc 1/1 Running 0 22h fluentd1-fluentd-elasticsearch-p5h88 1/1 Running 0 22h fluentd1-fluentd-elasticsearch-sdvn9 1/1 Running 0 22h fluentd1-fluentd-elasticsearch-ztm9s 1/1 Running 0 22h kib1-kibana-68f9fbfd84-pt2dt 0/1 Running 0 9m59s #这个镜像如果下载不下来，多等几天就下载下来了
然后找个浏览器，打开宿主机ip:nodeport
https://172.16.22.201:31865
不过我这个打开的页面有错误，做如下操作即可：
[root@k8s-master1 ~]# kubectl get pods -n efk |grep ela els1-elasticsearch-client-b898c9d47-8pntr 1/1 Running 1 43h els1-elasticsearch-client-b898c9d47-shqd2 1/1 Running 1 5d13h els1-elasticsearch-data-0 1/1 Running 0 117m els1-elasticsearch-data-1 1/1 Running 0 109m els1-elasticsearch-master-0 1/1 Running 1 2d11h els1-elasticsearch-master-1 1/1 Running 0 14h els1-elasticsearch-master-2 1/1 Running 0 14h [root@k8s-master1 ~]# kubectl exec -it els1-elasticsearch-client-b898c9d47-shqd2 -n efk -- /bin/bash 删除elasticsearch下的.kibana即可 [root@els1-elasticsearch-client-b898c9d47-shqd2 elasticsearch]# curl -XDELETE http://els1-elasticsearch-client.efk.svc:9200/.kibana
最终，看到我们做出了EFK的日志收集系统
到此，关于“docker怎么部署EFK日志系统”的学习就结束了，希望能够解决大家的疑惑。理论与实践的搭配能更好的帮助大家学习，快去试试吧！若想继续学习更多相关知识，请继续关注亿速云网站，小编会继续努力为大家带来更多实用的文章！
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