Kubernetes实战之部署ELK Stack收集平台日志

北京的冬天

——不积跬步,无以至千里;不积细流,不以成江河

主要内容

  • 1 ELK概念

  • 2 K8S需要收集哪些日志

  • 3 ELK Stack日志方案

  • 4 容器中的日志怎么收集

  • 5 K8S平台中应用日志收集

准备环境

一套正常运行的k8s集群,kubeadm安装部署或者二进制部署即可

ip地址 角色 备注
192.168.73.136 nfs
192.168.73.138 k8s-master
192.168.73.139 k8s-node01
192.168.73.140 k8s-node02

1 ELK概念

ELK是Elasticsearch、Logstash、Kibana三大开源框架首字母大写简称。市面上也被成为Elastic Stack。其中Elasticsearch是一个基于Lucene、分布式、通过Restful方式进行交互的近实时搜索平台框架。像类似百度、谷歌这种大数据全文搜索引擎的场景都可以使用Elasticsearch作为底层支持框架,可见Elasticsearch提供的搜索能力确实强大,市面上很多时候我们简称Elasticsearch为es。Logstash是ELK的中央数据流引擎,用于从不同目标(文件/数据存储/MQ)收集的不同格式数据,经过过滤后支持输出到不同目的地(文件/MQ/redis/elasticsearch/kafka等)。Kibana可以将elasticsearch的数据通过友好的页面展示出来,提供实时分析的功能。

通过上面对ELK简单的介绍,我们知道了ELK字面意义包含的每个开源框架的功能。市面上很多开发只要提到ELK能够一致说出它是一个日志分析架构技术栈总称,但实际上ELK不仅仅适用于日志分析,它还可以支持其它任何数据分析和收集的场景,日志分析和收集只是更具有代表性。并非唯一性。我们本教程主要也是围绕通过ELK如何搭建一个生产级的日志分析平台来讲解ELK的使用。
官方网站:https://www.elastic.co/cn/products/

图片

2 日志管理平台

在过往的单体应用时代,我们所有组件都部署到一台服务器中,那时日志管理平台的需求可能并没有那么强烈,我们只需要登录到一台服务器通过shell命令就可以很方便的查看系统日志,并快速定位问题。随着互联网的发展,互联网已经全面渗入到生活的各个领域,使用互联网的用户量也越来越多,单体应用已不能够支持庞大的用户的并发量,尤其像中国这种人口大国。那么将单体应用进行拆分,通过水平扩展来支持庞大用户的使用迫在眉睫,微服务概念就是在类似这样的阶段诞生,在微服务盛行的互联网技术时代,单个应用被拆分为多个应用,每个应用集群部署进行负载均衡,那么如果某项业务发生系统错误,开发或运维人员还是以过往单体应用方式登录一台一台登录服务器查看日志来定位问题,这种解决线上问题的效率可想而知。日志管理平台的建设就显得极其重要。通过Logstash去收集每台服务器日志文件,然后按定义的正则模板过滤后传输到Kafka或redis,然后由另一个Logstash从KafKa或redis读取日志存储到elasticsearch中创建索引,最后通过Kibana展示给开发者或运维人员进行分析。这样大大提升了运维线上问题的效率。除此之外,还可以将收集的日志进行大数据分析,得到更有价值的数据给到高层进行决策。

3 K8S需要收集哪些日志

这里只是以主要收集日志为例:

  • K8S系统的组件日志

  • K8S Cluster里面部署的应用程序日志

      -标准输出

      -日志文件

4 K8S中的ELK Stack日志采集方案

图片

  • 方案一:Node上部署一个日志收集程序
    使用DaemonSet的方式去给每一个node上部署日志收集程序logging-agent
    然后使用这个agent对本node节点上的/var/log和/var/lib/docker/containers/两个目录下的日志进行采集
    或者把Pod中容器日志目录挂载到宿主机统一目录上,这样进行收集

图片

  • 方案二:Pod中附加专用日志收集的容器
    每个运行应用程序的Pod中增加一个日志收集容器,使用emtyDir共享日志目录让日志收集程序读取到。

图片

  • 方案三:应用程序直接推送日志
    这个方案需要开发在代码中修改直接把应用程序直接推送到远程的存储上,不再输入出控制台或者本地文件了,使用不太多,超出Kubernetes范围

图片

  • 方式 优点 缺点
    方案一:Node上部署一个日志收集程序 每个Node仅需部署一个日志收集程序,资源消耗少,对应用无侵入 应用程序日志需要写到标准输出和标准错误输出,不支持多行日志
    方案二:Pod中附加专用日志收集的容器 低耦合 每个Pod启动一个日志收集代理,增加资源消耗,并增加运维维护成本
    方案三:应用程序直接推送日志 无需额外收集工具 浸入应用,增加应用复杂度

5 单节点方式部署ELK

单节点部署ELK的方法较简单,可以参考下面的yaml编排文件,整体就是创建一个es,然后创建kibana的可视化展示,创建一个es的service服务,然后通过ingress的方式对外暴露域名访问

首先,编写es的yaml,这里部署的是单机版,在k8s集群内中,通常当日志量每天超过20G以上的话,还是建议部署在k8s集群外部,支持分布式集群的架构,这里使用的是有状态部署的方式,并且使用动态存储进行持久化,需要提前创建好存储类,才能运行该yaml

[root@k8s-master fek]# vim elasticsearch.yaml

apiVersion: apps/v1
kind: StatefulSet
metadata:
name: elasticsearch
namespace: kube-system
labels:
k8s-app: elasticsearch
spec:
serviceName: elasticsearch
selector:
matchLabels:
k8s-app: elasticsearch
template:
metadata:
labels:
k8s-app: elasticsearch
spec:
containers:
- image: elasticsearch:7.3.1
name: elasticsearch
resources:
limits:
cpu: 1
memory: 2Gi
requests:
cpu: 0.5
memory: 500Mi
env:
- name: "discovery.type"
value: "single-node"
- name: ES_JAVA_OPTS
value: "-Xms512m -Xmx2g"
ports:
- containerPort: 9200
name: db
protocol: TCP
volumeMounts:
- name: elasticsearch-data
mountPath: /usr/share/elasticsearch/data
volumeClaimTemplates:
- metadata:
name: elasticsearch-data
spec:
storageClassName: "managed-nfs-storage"
accessModes: [ "ReadWriteOnce" ]
resources:
requests:
storage: 20Gi

---

apiVersion: v1
kind: Service
metadata:
name: elasticsearch
namespace: kube-system
spec:
clusterIP: None
ports:
- port: 9200
protocol: TCP
targetPort: db
selector:
k8s-app: elasticsearch

使用刚才编写好的yaml文件创建Elasticsearch,然后检查是否启动,如下所示能看到一个elasticsearch-0 的pod副本被创建,正常运行;如果不能正常启动可以使用kubectl describe查看详细描述,排查问题

[root@k8s-master fek]# kubectl get pod -n kube-system
NAME READY STATUS RESTARTS AGE
coredns-5bd5f9dbd9-95flw 1/1 Running 0 17h
elasticsearch-0 1/1 Running 1 16m
php-demo-85849d58df-4bvld 2/2 Running 2 18h
php-demo-85849d58df-7tbb2 2/2 Running 0 17h

然后,需要部署一个Kibana来对搜集到的日志进行可视化展示,使用Deployment的方式编写一个yaml,使用ingress对外进行暴露访问,直接引用了es

[root@k8s-master fek]# vim kibana.yaml
apiVersion: apps/v1
kind: Deployment
metadata:
name: kibana
namespace: kube-system
labels:
k8s-app: kibana
spec:
replicas: 1
selector:
matchLabels:
k8s-app: kibana
template:
metadata:
labels:
k8s-app: kibana
spec:
containers:
- name: kibana
image: kibana:7.3.1
resources:
limits:
cpu: 1
memory: 500Mi
requests:
cpu: 0.5
memory: 200Mi
env:
- name: ELASTICSEARCH_HOSTS
value: http://elasticsearch:9200
ports:
- containerPort: 5601
name: ui
protocol: TCP

---
apiVersion: v1
kind: Service
metadata:
name: kibana
namespace: kube-system
spec:
ports:
- port: 5601
protocol: TCP
targetPort: ui
selector:
k8s-app: kibana

---
apiVersion: extensions/v1beta1
kind: Ingress
metadata:
name: kibana
namespace: kube-system
spec:
rules:
- host: kibana.ctnrs.com
http:
paths:
- path: /
backend:
serviceName: kibana
servicePort: 5601

使用刚才编写好的yaml创建kibana,可以看到最后生成了一个kibana-b7d98644-lshsz的pod,并且正常运行

[root@k8s-master fek]# kubectl apply -f kibana.yaml
deployment.apps/kibana created
service/kibana created
ingress.extensions/kibana created
[root@k8s-master fek]# kubectl get pod -n kube-system
NAME READY STATUS RESTARTS AGE
coredns-5bd5f9dbd9-95flw 1/1 Running 0 17h
elasticsearch-0 1/1 Running 1 16m
kibana-b7d98644-48gtm 1/1 Running 1 17h
php-demo-85849d58df-4bvld 2/2 Running 2 18h
php-demo-85849d58df-7tbb2 2/2 Running 0 17h

最后,需要编写yaml在每个node上创建一个ingress-nginx控制器来对外提供访问

[root@k8s-master demo2]# vim mandatory.yaml
apiVersion: v1
kind: Namespace
metadata:
name: ingress-nginx
labels:
app.kubernetes.io/name: ingress-nginx
app.kubernetes.io/part-of: ingress-nginx

---

kind: ConfigMap
apiVersion: v1
metadata:
name: nginx-configuration
namespace: ingress-nginx
labels:
app.kubernetes.io/name: ingress-nginx
app.kubernetes.io/part-of: ingress-nginx

---
kind: ConfigMap
apiVersion: v1
metadata:
name: tcp-services
namespace: ingress-nginx
labels:
app.kubernetes.io/name: ingress-nginx
app.kubernetes.io/part-of: ingress-nginx

---
kind: ConfigMap
apiVersion: v1
metadata:
name: udp-services
namespace: ingress-nginx
labels:
app.kubernetes.io/name: ingress-nginx
app.kubernetes.io/part-of: ingress-nginx

---
apiVersion: v1
kind: ServiceAccount
metadata:
name: nginx-ingress-serviceaccount
namespace: ingress-nginx
labels:
app.kubernetes.io/name: ingress-nginx
app.kubernetes.io/part-of: ingress-nginx

---
apiVersion: rbac.authorization.k8s.io/v1beta1
kind: ClusterRole
metadata:
name: nginx-ingress-clusterrole
labels:
app.kubernetes.io/name: ingress-nginx
app.kubernetes.io/part-of: ingress-nginx
rules:
- apiGroups:
- ""
resources:
- configmaps
- endpoints
- nodes
- pods
- secrets
verbs:
- list
- watch
- apiGroups:
- ""
resources:
- nodes
verbs:
- get
- apiGroups:
- ""
resources:
- services
verbs:
- get
- list
- watch
- apiGroups:
- ""
resources:
- events
verbs:
- create
- patch
- apiGroups:
- "extensions"
- "networking.k8s.io"
resources:
- ingresses
verbs:
- get
- list
- watch
- apiGroups:
- "extensions"
- "networking.k8s.io"
resources:
- ingresses/status
verbs:
- update

---
apiVersion: rbac.authorization.k8s.io/v1beta1
kind: Role
metadata:
name: nginx-ingress-role
namespace: ingress-nginx
labels:
app.kubernetes.io/name: ingress-nginx
app.kubernetes.io/part-of: ingress-nginx
rules:
- apiGroups:
- ""
resources:
- configmaps
- pods
- secrets
- namespaces
verbs:
- get
- apiGroups:
- ""
resources:
- configmaps
resourceNames:
# Defaults to "<election-id>-<ingress-class>"
# Here: "<ingress-controller-leader>-<nginx>"
# This has to be adapted if you change either parameter
# when launching the nginx-ingress-controller.
- "ingress-controller-leader-nginx"
verbs:
- get
- update
- apiGroups:
- ""
resources:
- configmaps
verbs:
- create
- apiGroups:
- ""
resources:
- endpoints
verbs:
- get

---
apiVersion: rbac.authorization.k8s.io/v1beta1
kind: RoleBinding
metadata:
name: nginx-ingress-role-nisa-binding
namespace: ingress-nginx
labels:
app.kubernetes.io/name: ingress-nginx
app.kubernetes.io/part-of: ingress-nginx
roleRef:
apiGroup: rbac.authorization.k8s.io
kind: Role
name: nginx-ingress-role
subjects:
- kind: ServiceAccount
name: nginx-ingress-serviceaccount
namespace: ingress-nginx

---
apiVersion: rbac.authorization.k8s.io/v1beta1
kind: ClusterRoleBinding
metadata:
name: nginx-ingress-clusterrole-nisa-binding
labels:
app.kubernetes.io/name: ingress-nginx
app.kubernetes.io/part-of: ingress-nginx
roleRef:
apiGroup: rbac.authorization.k8s.io
kind: ClusterRole
name: nginx-ingress-clusterrole
subjects:
- kind: ServiceAccount
name: nginx-ingress-serviceaccount
namespace: ingress-nginx

---

apiVersion: apps/v1
kind: DaemonSet
metadata:
name: nginx-ingress-controller
namespace: ingress-nginx
labels:
app.kubernetes.io/name: ingress-nginx
app.kubernetes.io/part-of: ingress-nginx
spec:
selector:
matchLabels:
app.kubernetes.io/name: ingress-nginx
app.kubernetes.io/part-of: ingress-nginx
template:
metadata:
labels:
app.kubernetes.io/name: ingress-nginx
app.kubernetes.io/part-of: ingress-nginx
annotations:
prometheus.io/port: "10254"
prometheus.io/scrape: "true"
spec:
serviceAccountName: nginx-ingress-serviceaccount
hostNetwork: true
containers:
- name: nginx-ingress-controller
image: lizhenliang/nginx-ingress-controller:0.20.0
args:
- /nginx-ingress-controller
- --configmap=$(POD_NAMESPACE)/nginx-configuration
- --tcp-services-configmap=$(POD_NAMESPACE)/tcp-services
- --udp-services-configmap=$(POD_NAMESPACE)/udp-services
- --publish-service=$(POD_NAMESPACE)/ingress-nginx
- --annotations-prefix=nginx.ingress.kubernetes.io
securityContext:
allowPrivilegeEscalation: true
capabilities:
drop:
- ALL
add:
- NET_BIND_SERVICE
# www-data -> 33
runAsUser: 33
env:
- name: POD_NAME
valueFrom:
fieldRef:
fieldPath: metadata.name
- name: POD_NAMESPACE
valueFrom:
fieldRef:
fieldPath: metadata.namespace
ports:
- name: http
containerPort: 80
- name: https
containerPort: 443
livenessProbe:
failureThreshold: 3
httpGet:
path: /healthz
port: 10254
scheme: HTTP
initialDelaySeconds: 10
periodSeconds: 10
successThreshold: 1
timeoutSeconds: 10
readinessProbe:
failureThreshold: 3
httpGet:
path: /healthz
port: 10254
scheme: HTTP
periodSeconds: 10
successThreshold: 1
timeoutSeconds: 10

---

创建ingress控制器,可以看到使用的DaemonSet 的方式在每一个node都部署了ingress控制器,我们可以在本地host中绑定任意一个node ip,然后使用域名都可以访问

[root@k8s-master demo2]# kubectl apply -f mandatory.yaml
[root@k8s-master demo2]# kubectl get pod -n ingress-nginx
NAME READY STATUS RESTARTS AGE
nginx-ingress-controller-98769 1/1 Running 6 13h
nginx-ingress-controller-n6wpq 1/1 Running 0 13h
nginx-ingress-controller-tbfxq 1/1 Running 29 13h
nginx-ingress-controller-trxnj 1/1 Running 6 13h

绑定本机hosts,访问域名验证
windows系统,hosts文件地址:C:\Windows\System32\drivers\etc,Mac系统sudo vi /private/etc/hosts 编辑hosts文件,在底部加入域名和ip,用于解析,这个ip地址为任意node节点ip地址
加入如下命令,然后保存

192.168.73.139 kibana.ctnrs.com

最后在浏览器中,输入kibana.ctnrs.com,就会进入kibana的web界面,已设置了不需要进行登陆,当前页面都是全英文模式,可以修改上网搜一下修改配置文件的位置,建议使用英文版本

图片

5.1 方案一:Node上部署一个filebeat采集器采集k8s组件日志

es和kibana部署好了之后,我们如何采集pod日志呢,我们采用方案一的方式,首先在每一个node上中部署一个filebeat的采集器,采用的是7.3.1版本,因为filebeat是对k8s有支持,可以连接api给pod日志打标签,所以yaml中需要进行认证,最后在配置文件中对获取数据采集了之后输入到es中,已在yaml中配置好

[root@k8s-master fek]# vim filebeat-kubernetes.yaml ---apiVersion: v1kind: ConfigMapmetadata:  name: filebeat-config  namespace: kube-system  labels:    k8s-app: filebeatdata:  filebeat.yml: |-    filebeat.config:      inputs:        # Mounted `filebeat-inputs` configmap:        path: ${path.config}/inputs.d/*.yml        # Reload inputs configs as they change:        reload.enabled: false      modules:        path: ${path.config}/modules.d/*.yml        # Reload module configs as they change:        reload.enabled: false

# To enable hints based autodiscover, remove `filebeat.config.inputs` configuration and uncomment this: #filebeat.autodiscover: # providers: # - type: kubernetes # hints.enabled: true

output.elasticsearch: hosts: ['${ELASTICSEARCH_HOST:elasticsearch}:${ELASTICSEARCH_PORT:9200}']---apiVersion: v1kind: ConfigMapmetadata: name: filebeat-inputs namespace: kube-system labels: k8s-app: filebeatdata: kubernetes.yml: |- - type: docker containers.ids: - "*" processors: - add_kubernetes_metadata: in_cluster: true---apiVersion: extensions/v1beta1kind: DaemonSetmetadata: name: filebeat namespace: kube-system labels: k8s-app: filebeatspec: template: metadata: labels: k8s-app: filebeat spec: serviceAccountName: filebeat terminationGracePeriodSeconds: 30 containers: - name: filebeat image: elastic/filebeat:7.3.1 args: [ "-c", "/etc/filebeat.yml", "-e", ] env: - name: ELASTICSEARCH_HOST value: elasticsearch - name: ELASTICSEARCH_PORT value: "9200" securityContext: runAsUser: 0 # If using Red Hat OpenShift uncomment this: #privileged: true resources: limits: memory: 200Mi requests: cpu: 100m memory: 100Mi volumeMounts: - name: config mountPath: /etc/filebeat.yml readOnly: true subPath: filebeat.yml - name: inputs mountPath: /usr/share/filebeat/inputs.d readOnly: true - name: data mountPath: /usr/share/filebeat/data - name: varlibdockercontainers mountPath: /var/lib/docker/containers readOnly: true volumes: - name: config configMap: defaultMode: 0600 name: filebeat-config - name: varlibdockercontainers hostPath: path: /var/lib/docker/containers - name: inputs configMap: defaultMode: 0600 name: filebeat-inputs # data folder stores a registry of read status for all files, so we don't send everything again on a Filebeat pod restart - name: data hostPath: path: /var/lib/filebeat-data type: DirectoryOrCreate---apiVersion: rbac.authorization.k8s.io/v1beta1kind: ClusterRoleBindingmetadata: name: filebeatsubjects:- kind: ServiceAccount name: filebeat namespace: kube-systemroleRef: kind: ClusterRole name: filebeat apiGroup: rbac.authorization.k8s.io---apiVersion: rbac.authorization.k8s.io/v1beta1kind: ClusterRolemetadata: name: filebeat labels: k8s-app: filebeatrules:- apiGroups: [""] # "" indicates the core API group resources: - namespaces - pods verbs: - get - watch - list---apiVersion: v1kind: ServiceAccountmetadata: name: filebeat namespace: kube-system labels: k8s-app: filebeat---

除此之外,需要对k8s组件的日志进行采集,因为我的环境是用的kubeadm进行部署的,因此我的组件日志都在/var/log/message里面,因此我们还需要部署一个采集k8s组件日志的pod副本,自定义了索引k8s-module-%{+yyyy.MM.dd},编写yaml如下

[root@k8s-master elk]# vim k8s-logs.yaml
apiVersion: v1
kind: ConfigMap
metadata:
name: k8s-logs-filebeat-config
namespace: kube-system

data:
filebeat.yml: |
filebeat.inputs:
- type: log
paths:
- /var/log/messages
fields:
app: k8s
type: module
fields_under_root: true

setup.ilm.enabled: false
setup.template.name: "k8s-module"
setup.template.pattern: "k8s-module-*"

output.elasticsearch:
hosts: ['elasticsearch.kube-system:9200']
index: "k8s-module-%{+yyyy.MM.dd}"

---

apiVersion: apps/v1
kind: DaemonSet
metadata:
name: k8s-logs
namespace: kube-system
spec:
selector:
matchLabels:
project: k8s
app: filebeat
template:
metadata:
labels:
project: k8s
app: filebeat
spec:
containers:
- name: filebeat
image: elastic/filebeat:7.3.1
args: [
"-c", "/etc/filebeat.yml",
"-e",
]
resources:
requests:
cpu: 100m
memory: 100Mi
limits:
cpu: 500m
memory: 500Mi
securityContext:
runAsUser: 0
volumeMounts:
- name: filebeat-config
mountPath: /etc/filebeat.yml
subPath: filebeat.yml
- name: k8s-logs
mountPath: /var/log/messages
volumes:
- name: k8s-logs
hostPath:
path: /var/log/messages
- name: filebeat-config
configMap:
name: k8s-logs-filebeat-config

创建编写好的yaml,并且检查是否成功创建,能看到两个命名为k8s-log-xx的pod副本分别创建在两个nodes上

[root@k8s-master elk]# kubectl apply -f k8s-logs.yaml
[root@k8s-master elk]# kubectl get pod -n kube-system
NAME READY STATUS RESTARTS AGE
coredns-5bd5f9dbd9-8zdn5 1/1 Running 0 10h
elasticsearch-0 1/1 Running 1 13h
filebeat-2q5tz 1/1 Running 0 13h
filebeat-k6m27 1/1 Running 2 13h
k8s-logs-52xgk 1/1 Running 0 5h45m
k8s-logs-jpkqp 1/1 Running 0 5h45m
kibana-b7d98644-tllmm 1/1 Running 0 10h

5.1.1 在kibana的web界面进行配置日志可视化

首先打开kibana的web界面,点击左边菜单栏汇中的设置,然后点击在Kibana下面的索引按钮,然后点击左上角的然后根据如图所示分别创建一个filebeat-7.3.1-和k8s-module-的filebeat采集器的索引匹配

图片

然后按照时间过滤,完成创建

图片

索引匹配创建以后,点击左边最上面的菜单Discove,然后可以在左侧看到我们刚才创建的索引,然后就可以在下面添加要展示的标签,也可以对标签进行筛选,最终效果如图所示,可以看到采集到的日志的所有信息

图片

在其中一个node上,输入echo hello logs >>/var/log/messages,然后在web上选择k8s-module-*的索引匹配,就可以在采集到的日志中看到刚才输入的hello logs,则证明采集成功,如图所示

图片

5.2 方案二:Pod中附加专用日志收集的容器

我们也可以使用方案的方式,通过在pod中注入一个日志收集的容器来采集pod的日志,以一个php-demo的应用为例,使用emptyDir的方式把日志目录共享给采集器的容器收集,编写nginx-deployment.yaml ,直接在pod中加入filebeat的容器,并且自定义索引为nginx-access-%{+yyyy.MM.dd}

[root@k8s-master fek]# vim nginx-deployment.yaml
apiVersion: apps/v1beta1
kind: Deployment
metadata:
name: php-demo
namespace: kube-system
spec:
replicas: 2
selector:
matchLabels:
project: www
app: php-demo
template:
metadata:
labels:
project: www
app: php-demo
spec:
imagePullSecrets:
- name: registry-pull-secret
containers:
- name: nginx
image: lizhenliang/nginx-php
ports:
- containerPort: 80
name: web
protocol: TCP
resources:
requests:
cpu: 0.5
memory: 256Mi
limits:
cpu: 1
memory: 1Gi
livenessProbe:
httpGet:
path: /status.html
port: 80
initialDelaySeconds: 20
timeoutSeconds: 20
readinessProbe:
httpGet:
path: /status.html
port: 80
initialDelaySeconds: 20
timeoutSeconds: 20
volumeMounts:
- name: nginx-logs
mountPath: /usr/local/nginx/logs

- name: filebeat
image: elastic/filebeat:7.3.1
args: [
"-c", "/etc/filebeat.yml",
"-e",
]
resources:
limits:
memory: 500Mi
requests:
cpu: 100m
memory: 100Mi
securityContext:
runAsUser: 0
volumeMounts:
- name: filebeat-config
mountPath: /etc/filebeat.yml
subPath: filebeat.yml
- name: nginx-logs
mountPath: /usr/local/nginx/logs

volumes:
- name: nginx-logs
emptyDir: {}
- name: filebeat-config
configMap:
name: filebeat-nginx-config
---
apiVersion: v1
kind: ConfigMap
metadata:
name: filebeat-nginx-config
namespace: kube-system

data:
filebeat.yml: |-
filebeat.inputs:
- type: log
paths:
- /usr/local/nginx/logs/access.log
# tags: ["access"]
fields:
app: www
type: nginx-access
fields_under_root: true

setup.ilm.enabled: false
setup.template.name: "nginx-access"
setup.template.pattern: "nginx-access-*"

output.elasticsearch:
hosts: ['elasticsearch.kube-system:9200']
index: "nginx-access-%{+yyyy.MM.dd}"

创建刚才编写的nginx-deployment.yaml,创建成果之后会在kube-system命名空间下面pod/php-demo-58d89c9bc4-r5692的2个pod副本,还有一个对外暴露的service/php-demo

[root@k8s-master elk]# kubectl apply -f nginx-deployment.yaml
[root@k8s-master fek]# kubectl get pod -n kube-system
NAME READY STATUS RESTARTS AGE
coredns-5bd5f9dbd9-8zdn5 1/1 Running 0 20helasticsearch-0 1/1 Running 1 23hfilebeat-46nvd 1/1 Running 0 23m
filebeat-sst8m 1/1 Running 0 23m
k8s-logs-52xgk 1/1 Running 0 15hk8s-logs-jpkqp 1/1 Running 0 15hkibana-b7d98644-tllmm 1/1 Running 0 20hphp-demo-85849d58df-d98gv 2/2 Running 0 26m
php-demo-85849d58df-sl5ss 2/2 Running 0 26m

然后打开kibana的web,按照刚才的办法继续添加一个索引匹配nginx-access-*,如图所示

图片

最后点击左边最上面的菜单Discove,然后可以在左侧看到我们刚才创建的索引匹配,下拉选择nginx-access-*,然后就可以在下面添加要展示的标签,也可以对标签进行筛选,最终效果如图所示,可以看到采集到的日志的所有信息

图片

专注开源的DevOps技术栈技术,有问题欢迎一起交流

图片

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