docker怎么部署EFK日志系统

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 listNAME  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 listNAME     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]# lselasticsearch-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 efknamespace/logs created

[root@master efk]# kubectl get nsNAME               STATUS    AGEekf               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/elasticsearchNAME:   els1LAST DEPLOYED: Thu Oct 18 01:59:15 2018NAMESPACE: efkSTATUS: DEPLOYEDRESOURCES:==> v1/Pod(related)NAME                                        READY  STATUS   RESTARTS  AGEels1-elasticsearch-client-58899f6794-gxn7x  0/1    Pending  0         0sels1-elasticsearch-client-58899f6794-mmqq6  0/1    Pending  0         0sels1-elasticsearch-data-0                   0/1    Pending  0         0sels1-elasticsearch-master-0                 0/1    Pending  0         0s==> v1/ConfigMapNAME                DATA  AGEels1-elasticsearch  4     1s==> v1/ServiceNAME                          TYPE       CLUSTER-IP      EXTERNAL-IP  PORT(S)   AGEels1-elasticsearch-client     ClusterIP  10.103.147.142         9200/TCP  0sels1-elasticsearch-discovery  ClusterIP  None                   9300/TCP  0s==> v1beta1/DeploymentNAME                       DESIRED  CURRENT  UP-TO-DATE  AVAILABLE  AGEels1-elasticsearch-client  2        0        0           0          0s==> v1beta1/StatefulSetNAME                       DESIRED  CURRENT  AGEels1-elasticsearch-data    2        1        0sels1-elasticsearch-master  3        1        0sNOTES: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]# lselasticsearch  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 wideNAME                                         READY     STATUS    RESTARTS   AGE       IP             NODEels1-elasticsearch-client-78b54979c5-kzj7z   1/1       Running   2          1h        10.244.2.157   node2els1-elasticsearch-client-78b54979c5-xn2gb   1/1       Running   1          1h        10.244.2.151   node2els1-elasticsearch-data-0                    1/1       Running   0          1h        10.244.1.165   node1els1-elasticsearch-data-1                    1/1       Running   0          1h        10.244.2.169   node2els1-elasticsearch-master-0                  1/1       Running   0          1h        10.244.1.163   node1els1-elasticsearch-master-1                  1/1       Running   0          1h        10.244.2.168   node2els1-elasticsearch-master-2                  1/1       Running   0          57m       10.244.1.170   node1

查看安装好的release：

[root@master efk]# helm listNAME  REVISIONUPDATED                 STATUS  CHART               NAMESPACEels1  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 9200:9200

cirror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/shkubectl 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.svcServer:    10.96.0.10Address 1: 10.96.0.10 kube-dns.kube-system.svc.cluster.localName:      els1-elasticsearch-client.efk.svcAddress 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:9200curl: (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/nodes10.244.2.104 23 95 0 0.00 0.02 0.05 di - els1-elasticsearch-data-010.244.4.83  42 99 1 0.01 0.11 0.13 mi * els1-elasticsearch-master-110.244.4.81  35 99 1 0.01 0.11 0.13 i  - els1-elasticsearch-client-b898c9d47-5gwzq10.244.4.84  31 99 1 0.01 0.11 0.13 mi - els1-elasticsearch-master-210.244.2.105 35 95 0 0.00 0.02 0.05 i  - els1-elasticsearch-client-b898c9d47-shqd210.244.4.85  18 99 1 0.01 0.11 0.13 di - els1-elasticsearch-data-110.244.4.82  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: NoSchedule3、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 listNAME    REVISIONUPDATED                 STATUS  CHART                      NAMESPACEels1    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 efkNAME                                        READY   STATUS             RESTARTS   AGEels1-elasticsearch-client-b898c9d47-5gwzq   1/1     Running            0          47hels1-elasticsearch-client-b898c9d47-shqd2   1/1     Running            0          47hels1-elasticsearch-data-0                   1/1     Running            0          47hels1-elasticsearch-data-1                   1/1     Running            0          45hels1-elasticsearch-master-0                 1/1     Running            0          47hels1-elasticsearch-master-1                 1/1     Running            0          45hels1-elasticsearch-master-2                 1/1     Running            0          45hfluentd1-fluentd-elasticsearch-9k456        1/1     Running           0          2m28sfluentd1-fluentd-elasticsearch-dcnsc        1/1     Running           0          2m28s    fluentd1-fluentd-elasticsearch-p5h88        1/1   Running           0          2m28sfluentd1-fluentd-elasticsearch-sdvn9        1/1     Running           0          2m28sfluentd1-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/ServiceNAME         TYPE      CLUSTER-IP    EXTERNAL-IP  PORT(S)        AGEkib1-kibana  NodePort  10.108.188.4         443:31865/TCP  0s

[root@k8s-master1 kibana]# kubectl get svc -n efkNAME                           TYPE        CLUSTER-IP       EXTERNAL-IP   PORT(S)         AGEels1-elasticsearch-client      ClusterIP   10.103.105.170           9200/TCP        2d22hels1-elasticsearch-discovery   ClusterIP   None                     9300/TCP        2d22hkib1-kibana                    NodePort    10.108.188.4             443:31865/TCP   4m27s

[root@k8s-master1 kibana]# kubectl get pods -n efk NAME                                        READY   STATUS              RESTARTS   AGEels1-elasticsearch-client-b898c9d47-5gwzq   1/1     Running             0          2d22hels1-elasticsearch-client-b898c9d47-shqd2   1/1     Running             0          2d22hels1-elasticsearch-data-0                   1/1     Running             0          22hels1-elasticsearch-data-1                   1/1     Running             0          22hels1-elasticsearch-master-0                 1/1     Running             0          2d22hels1-elasticsearch-master-1                 1/1     Running             0          2d19hels1-elasticsearch-master-2                 1/1     Running             0          2d19hfluentd1-fluentd-elasticsearch-9k456        1/1     Running             0          22hfluentd1-fluentd-elasticsearch-dcnsc        1/1     Running             0          22hfluentd1-fluentd-elasticsearch-p5h88        1/1     Running             0          22hfluentd1-fluentd-elasticsearch-sdvn9        1/1     Running             0          22hfluentd1-fluentd-elasticsearch-ztm9s        1/1     Running             0          22hkib1-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 elaels1-elasticsearch-client-b898c9d47-8pntr   1/1     Running   1          43hels1-elasticsearch-client-b898c9d47-shqd2   1/1     Running   1          5d13hels1-elasticsearch-data-0                   1/1     Running   0          117mels1-elasticsearch-data-1                   1/1     Running   0          109mels1-elasticsearch-master-0                 1/1     Running   1          2d11hels1-elasticsearch-master-1                 1/1     Running   0          14hels1-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，请继续关注网站，小编会继续努力为大家带来更多实用的文章！