文章拷于：http://blog.itpub.net/28916011/viewspace-2216748/ 用于自己备份记录错误
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 ，我没用这个方式，用的下面的
[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 10.103.147.1429200/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 $POD_NAME 9200:9200
说明：--name els1是chart部署后的release名字，名字自己随便取就行。
上面我们是通过values.yaml文件在线安装的els。但是我们已经下载els安装包了，也可以通过下载的els包进行离线安装，如下：
[root@master efk]# lselasticsearch elasticsearch-1.10.2.tgz
root@master efk]# helm install --name els1 --namespace=efk ./elasticsearch
说明：./elasticsearch就是当前els安装包目录的名字。
安装完后，我们就能在efk名称空间中看到相应的pods资源了（我在安装elasticsearch时，当时是安装不上的，因为说是打不开elasticseartch的官网，也就是不能再这个官网下载镜像，后来我就放置了两天没管，再登录上看，发现镜像竟然自己下载好了，真是有意思）我是第一次没安装成，机器内存小了，然后又加的内存。删掉了这个namespace第二天又重新建的，然后一次成功了。
[root@master efk]# kubectl get pods -n efk -o wideNAME READY STATUS RESTARTS AGE IP NODEels1-elasticsearch-client-78b54979c5-kzj7z 1/1 Running 2 1h 10.244.2.157 node2els1-elasticsearch-client-78b54979c5-xn2gb 1/1 Running 1 1h 10.244.2.151 node2els1-elasticsearch-data-0 1/1 Running 0 1h 10.244.1.165 node1els1-elasticsearch-data-1 1/1 Running 0 1h 10.244.2.169 node2els1-elasticsearch-master-0 1/1 Running 0 1h 10.244.1.163 node1els1-elasticsearch-master-1 1/1 Running 0 1h 10.244.2.168 node2els1-elasticsearch-master-2 1/1 Running 0 57m 10.244.1.170 node1
查看安装好的release：
[root@master efk]# helm listNAME REVISIONUPDATED STATUS CHART NAMESPACEels1 1 Thu Oct 18 23:11:54 2018DEPLOYEDelasticsearch-1.10.2efk
查看els1的状态：
[root@k8s-master1 ~]# helm status els1 * Within your cluster, at the following DNS name at port 9200: els1-elasticsearch-client.efk.svc ##这个就是els1 service的主机名 * From outside the cluster, run these commands in the same shell: export POD_NAME=$(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
因为我删除namespace后出现了其他问题，最后重启了集群，没想到flannel又鸡巴的出问题了，routing模式又没了，然后nslookup一直出问题，我还以为我的版本又出了问题，最后删了flannel又重新生成
-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"大概就这个位置我的annotations下面是PodAnnktation的位置，底下改的。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。我刚开始没在意，后面看日志发现的确有这个问题的存在，然后把kibanna的value.yaml改成了和es一致的版本，两个版本可以从value里看到
[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
修改ELASTICSEARCH_URL，把type改成NodePort类型
[root@master kibana]# cat values.yaml |moreimage: repository: "docker.elastic.co/kibana/kibana-oss" tag: "6.4.2" pullPolicy: "IfNotPresent"env: # All Kibana configuration options are adjustable via env vars. # To adjust a config option to an env var uppercase + replace `.` with `_` # Ref: https://www.elastic.co/guide/en/kibana/current/settings.html # ELASTICSEARCH_URL: http://els1-elasticsearch-client.efk.svc:9200 #SERVER_PORT: 9200 # LOGGING_VERBOSE: "true" # SERVER_DEFAULTROUTE: "/app/kibana"service: type: NodePort externalPort: 443 internalPort: 5601 ## External IP addresses of service ## Default: nil ## # externalIPs: # - 192.168.0.1
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 10.108.188.4443:31865/TCP 0s
[root@k8s-master1 kibana]# kubectl get svc -n efkNAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGEels1-elasticsearch-client ClusterIP 10.103.105.1709200/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，我是一下就下载下来了
然后找个浏览器，打开宿主机ip:nodeport
不过我这个打开的页面有错误，做如下操作即可：我那个时候也有错，有时能删掉，有时删也删不掉，就没管他，最后登录正常
[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