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【云原生 | Kubernetes 系列】----K8s日志收集日志收集1. 准备工作2. 日志收集3. Kibana导入索引

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我是靠谱客的博主 安详便当，最近开发中收集的这篇文章主要介绍【云原生 | Kubernetes 系列】----K8s日志收集日志收集1. 准备工作2. 日志收集3. Kibana导入索引，觉得挺不错的，现在分享给大家，希望可以做个参考。

概述

日志收集

本次实验的目的是将K8s Tomcat Pod中产生的accesslog和catalina日志通过filebeat转发至kafka,再使用logstash将kafka中的日志转发到elasticsearch中.最后使用kibana将日志进行展示.

本次实验涉及到的服务器较多,如果换成kubeadmin可以适当节省部分节点

序号机器名IP地址作用
1k8s-master-01192.168.31.101k8s Master节点
2k8s-master-02192.168.31.102k8s Master节点
3k8s-master-03192.168.31.103k8s Master节点
4k8s-node-01192.168.31.111k8s Node节点
5k8s-node-02192.168.31.112k8s Node节点
6k8s-node-03192.168.31.113k8s Node节点
7k8s-harbor192.168.31.104Harbor仓库
8etcd-1192.168.31.106etcd节点
9etcd-2192.168.31.107etcd节点
9etcd-3192.168.31.108etcd节点
10es-1192.168.31.41els节点+kibana
11es-2192.168.31.42els节点
12es-3192.168.31.43els节点
13logstash192.168.31.126logstash节点
14zookeeper-1192.168.31.121kafka+zookeeper节点
15zookeeper-2192.168.31.122kafka+zookeeper节点
16zookeeper-3192.168.31.123kafka+zookeeper节点
17k8s-haprox-1192.168.31.109k8s haproxy节点
18k8s-haprox-2192.168.31.110k8s haproxy节点

1. 准备工作

Zookeeper部署:
https://blog.csdn.net/qq_29974229/article/details/126477955?spm=1001.2014.3001.5501
Kafka部署:
https://blog.csdn.net/qq_29974229/article/details/126477994?spm=1001.2014.3001.5502

1.1 确定日志文件路径

在k8s-master-01服务器或者其他Master服务器上操作

进入需要收集日志的tomcat pod(该POD配置详见https://blog.csdn.net/qq_29974229/article/details/126250939?spm=1001.2014.3001.5502 第10章)确认accesslog和catalina日志具体存放位置.

[root@wework-tomcat-app1-deployment-d7f8488b8-s8qdx /]ll /apps/tomcat/logs/catalina.out
-rw-rw-r-- 1 nginx nginx 7864 Aug 22 09:27 /apps/tomcat/logs/catalina.out
[root@wework-tomcat-app1-deployment-d7f8488b8-s8qdx /]# ll /apps/tomcat/logs/localhost_access_log.*.txt
-rw-rw-r-- 1 nginx nginx 0 Aug 22 09:27 /apps/tomcat/logs/localhost_access_log.2022-08-22.txt
[root@wework-tomcat-app1-deployment-d7f8488b8-s8qdx /]# cat /apps/tomcat/logs/localhost_access_log.*.txt
192.168.31.111 - - [22/Aug/2022:09:36:24 +0800] "GET / HTTP/1.1" 404 1078
192.168.31.111 - - [22/Aug/2022:09:36:27 +0800] "GET / HTTP/1.1" 404 1078
172.100.76.128 - - [22/Aug/2022:09:38:53 +0800] "GET / HTTP/1.1" 404 1078
172.100.76.128 - - [22/Aug/2022:09:38:53 +0800] "GET /favicon.ico HTTP/1.1" 404 1078

1.2 更新镜像文件

将刚才获取到accesslog和catalina日志路径写入yaml文件中,供镜像中filebeat转发使用.
其中catalina打上tag:tomcat-catalina
accesslog打tag:tomcat-accesslog
发往kafka:192.168.31.121:9092
topic为wework-tomcat-app1
filebeat.yml内容如下

filebeat.inputs:
- type: log
  enabled: true
  paths:
    - /apps/tomcat/logs/catalina.out
  fields:
    type: tomcat-catalina
- type: log
  enabled: true
  paths:
    - /apps/tomcat/logs/localhost_access_log.*.txt 
  fields:
    type: tomcat-accesslog
filebeat.config.modules:
  path: ${path.config}/modules.d/*.yml
  reload.enabled: false
setup.template.settings:
  index.number_of_shards: 1
setup.kibana:

output.kafka:
  hosts: ["192.168.31.121:9092"]
  required_acks: 1
  topic: "wework-tomcat-app1"
  compression: gzip
  max_message_bytes: 1000000

Dockerfile中将filebeat.yml加入到镜像,并通过run_tomcat.sh中的shell启动filebeat,最终实现filebeat的日志收集和转发.

FROM harbor.intra.com/pub-images/tomcat-base:v8.5.43

ADD catalina.sh /apps/tomcat/bin/catalina.sh
ADD server.xml /apps/tomcat/conf/server.xml
#ADD myapp/* /data/tomcat/webapps/myapp/
ADD app1.tar.gz /data/tomcat/webapps/myapp/
ADD run_tomcat.sh /apps/tomcat/bin/run_tomcat.sh
ADD filebeat.yml /etc/filebeat/filebeat.yml 
RUN chown  -R nginx.nginx /data/ /apps/
#ADD filebeat-7.5.1-x86_64.rpm /tmp/
#RUN cd /tmp && yum localinstall -y filebeat-7.5.1-amd64.deb

EXPOSE 8080 8443

CMD ["/apps/tomcat/bin/run_tomcat.sh"]

run_tomcat.sh

root@k8s-master-01:/opt/k8s-data/dockerfile/web/wework/tomcat-app1# cat run_tomcat.sh 
#!/bin/bash
/usr/share/filebeat/bin/filebeat -e -c /etc/filebeat/filebeat.yml -path.home /usr/share/filebeat -path.config /etc/filebeat -path.data /var/lib/filebeat -path.logs /var/log/filebeat &
su - nginx -c "/apps/tomcat/bin/catalina.sh start"
tail -f /etc/hosts

此时目录下有以下文件

root@k8s-master-01:/opt/k8s-data/dockerfile/web/wework/tomcat-app1# ll
total 23584
drwxr-xr-x  2 root root     4096 Aug 22 16:13 ./
drwxr-xr-x 10 root root     4096 Aug 12 14:21 ../
-rw-r--r--  1 root root      143 Aug  8 15:29 app1.tar.gz
-rwxr-xr-x  1 root root      145 Aug  8 15:32 build-command.sh*
-rwxr-xr-x  1 root root    23611 Jun 22  2021 catalina.sh*
-rw-r--r--  1 root root      531 Aug 22 14:59 Dockerfile
-rw-r--r--  1 root root 24086235 Jun 22  2021 filebeat-7.5.1-x86_64.rpm
-rw-r--r--  1 root root      727 Aug 22 16:13 filebeat.yml
-rwxr-xr-x  1 root root      371 Aug 22 14:58 run_tomcat.sh*
-rw-r--r--  1 root root     6462 Oct 10  2021 server.xml

重新构建镜像,给新镜像打上v2的tag.这样一会替换yaml中的版本号就能完成发布.

root@k8s-master-01:/opt/k8s-data/dockerfile/web/wework/tomcat-app1# ./build-command.sh v2
Sending build context to Docker daemon  24.13MB
Step 1/9 : FROM harbor.intra.com/pub-images/tomcat-base:v8.5.43
 ---> 8ea246a48b19
Step 2/9 : ADD catalina.sh /apps/tomcat/bin/catalina.sh
 ---> Using cache
 ---> cea5baadac4d
Step 3/9 : ADD server.xml /apps/tomcat/conf/server.xml
 ---> Using cache
 ---> 58f377ffd9bb
Step 4/9 : ADD app1.tar.gz /data/tomcat/webapps/myapp/
 ---> Using cache
 ---> 22022b6ad43b
Step 5/9 : ADD run_tomcat.sh /apps/tomcat/bin/run_tomcat.sh
 ---> 510136ee16a5
Step 6/9 : ADD filebeat.yml /etc/filebeat/filebeat.yml
 ---> 367ef4b0d006
Step 7/9 : RUN chown  -R nginx.nginx /data/ /apps/
 ---> Running in 17ac97ba2364
Removing intermediate container 17ac97ba2364
 ---> 0d48b4ae2e4f
Step 8/9 : EXPOSE 8080 8443
 ---> Running in 9ca69be946a5
Removing intermediate container 9ca69be946a5
 ---> 2d118e7b8eee
Step 9/9 : CMD ["/apps/tomcat/bin/run_tomcat.sh"]
 ---> Running in e4c5ea6f6abf
Removing intermediate container e4c5ea6f6abf
 ---> 56f4aa923c24
Successfully built 56f4aa923c24
Successfully tagged harbor.intra.com/wework/tomcat-app1:v2
The push refers to repository [harbor.intra.com/wework/tomcat-app1]
10bfa2a51096: Pushed 
027a7241542a: Pushed 
580e043b3292: Pushed 
14f65bcfbf17: Layer already exists 
524d0b6013b3: Layer already exists 
e03b1f42acaa: Layer already exists 
dd8f6a0cdeaa: Layer already exists 
3447904f79c4: Layer already exists 
7adc429e9dda: Layer already exists 
aadaa9679cb8: Layer already exists 
fc305a4ba468: Layer already exists 
ab93afc6a659: Layer already exists 
d7f831641e18: Layer already exists 
f4b52134c525: Layer already exists 
0533300cca03: Layer already exists 
30a12549c4a3: Layer already exists 
ce1fb445c72c: Layer already exists 
174f56854903: Layer already exists 
v2: digest: sha256:d40be883f8d82991ab340a183dd5560deba9099822423e371d56c53ae04e5a29 size: 4086
root@k8s-master-01:/opt/k8s-data/dockerfile/web/wework/tomcat-app1# docker images |grep tomcat-app1
harbor.intra.com/wework/tomcat-app1                      v2              56f4aa923c24   7 seconds ago   1.53GB
harbor.intra.com/wework/tomcat-app1                      v1              87152ed32f8c   2 weeks ago     1.53GB

启动镜像检查是否可以正常连接.

docker run -it --rm harbor.intra.com/wework/tomcat-app1:v2

1.3 安装es

这里直接使用deb安装

## 3台都安装
dpkg -i elasticsearch-7.12.1-amd64.deb
## es1 安装
dpkg -i kibana-7.6.2-amd64.deb
mkdir /elasticsearch/{logs,data} -p
chown elasticsearch.elasticsearch -R /elasticsearch

elasticsearch配置文件/etc/elasticsearch/elasticsearch.yml
需要注意的是,这里的node.name 3台服务器都不能重复
path.data和path.log尽量别放在默认的/tmp下避免误删造成数据丢失

cluster.name: pana-elk-cluster1
## nodename 3台服务器设置成不同
node.name: es1
## 数据持久化目录
path.data: /elasticsearch/data
path.logs: /elasticsearch/logs
## 服务器ip,3台各自设定
network.host: 192.168.31.41
http.port: 9200
## 将集群中3台地址依次填如
discovery.seed_hosts: ["192.168.31.41", "192.168.31.42", "192.168.31.43"]
## 将集群中3台地址依次填如
cluster.initial_master_nodes: ["192.168.31.41", "192.168.31.42", "192.168.31.43"]
## 集群中服务器数/2+1
gateway.recover_after_nodes: 2
action.destructive_requires_name: true

kibana配置文件/etc/kibana/kibana.yml
需要指定elasticsearch 9200的地址
如果需要中文版就将i18n.locale值写为zh-CN

server.port: 5601
server.host: "192.168.31.41"
elasticsearch.hosts: ["http://192.168.31.41:9200"]
i18n.locale: "zh-CN"

启动es和kibana,kibana启动会比较慢,可以先做其他配置.

systemctl restart elasticsearch.service
systemctl start kibana

1.4 安装logstash

logstash服务器上安装

dpkg -i logstash-7.12.1-amd64.deb

2. 日志收集

2.1 重新部署Tomcat服务

Master服务器上操作

kind: Deployment
apiVersion: apps/v1
metadata:
  labels:
    app: wework-tomcat-app1-deployment-label
  name: wework-tomcat-app1-deployment
  namespace: wework
spec:
  replicas: 1
  selector:
    matchLabels:
      app: wework-tomcat-app1-selector
  template:
    metadata:
      labels:
        app: wework-tomcat-app1-selector
    spec:
      containers:
      - name: wework-tomcat-app1-container
        image: harbor.intra.com/wework/tomcat-app1:v2
        ports:
        - containerPort: 8080
          protocol: TCP
          name: http
        env:
        - name: "password"
          value: "123456"
        - name: "age"
          value: "18"
        resources:
          limits:
            cpu: 1
            memory: "512Mi"
          requests:
            cpu: 500m
            memory: "512Mi"
        volumeMounts:
        - name: wework-images
          mountPath: /usr/local/nginx/html/webapp/images
          readOnly: false
        - name: wework-static
          mountPath: /usr/local/nginx/html/webapp/static
          readOnly: false
      volumes:
      - name: wework-images
        nfs:
          server: 192.168.31.109
          path: /data/k8s/wework/images
      - name: wework-static
        nfs:
          server: 192.168.31.104
          path: /data/k8s/wework/static
---
kind: Service
apiVersion: v1
metadata:
  labels:
    app: wework-tomcat-app1-service-label
  name: wework-tomcat-app1-service
  namespace: wework
spec:
  type: NodePort
  ports:
  - name: http
    port: 80
    protocol: TCP
    targetPort: 8080
    nodePort: 30092
  selector:
    app: wework-tomcat-app1-selector

使用刚才构建的v2版本镜像,重新部署tomcat

root@k8s-master-01:/opt/k8s-data/yaml/wework/tomcat-app1# kubectl apply -f tomcat-app1.yaml 
deployment.apps/wework-tomcat-app1-deployment configured
service/wework-tomcat-app1-service unchanged

检查tomcat-app1容器中filebeat是否正常启动

[root@wework-tomcat-app1-deployment-5b776b7f4c-b7k86 /]# ps -ef |grep filebeat
root          7      1  0 16:17 ?        00:00:00 /usr/share/filebeat/bin/filebeat -e -c /etc/filebeat/filebeat.yml -path.home /usr/share/filebeat -path.config /etc/filebeat -path.data /var/lib/filebeat -path.logs /var/log/filebeat
root        103     83  0 16:20 pts/0    00:00:00 grep --color=auto filebeat
[root@wework-tomcat-app1-deployment-5b776b7f4c-b7k86 /]# [root@wework-tomcat-app1-deployment-5b776b7f4c-b7k86 /]# tail -f /apps/tomcat/logs/localhost_access_log.*.txt
172.100.76.128 - - [22/Aug/2022:17:09:09 +0800] "GET /myapp/ HTTP/1.1" 200 23
172.100.76.128 - - [22/Aug/2022:17:09:12 +0800] "GET /myapp/ HTTP/1.1" 200 23
172.100.76.128 - - [22/Aug/2022:17:09:15 +0800] "GET /myapp/ HTTP/1.1" 200 23
172.100.76.128 - - [22/Aug/2022:17:09:18 +0800] "GET /myapp/ HTTP/1.1" 200 23
172.100.76.128 - - [22/Aug/2022:17:09:21 +0800] "GET /myapp/ HTTP/1.1" 200 23
172.100.76.128 - - [22/Aug/2022:17:09:24 +0800] "GET /myapp/ HTTP/1.1" 200 23
172.100.76.128 - - [22/Aug/2022:17:09:27 +0800] "GET /myapp/ HTTP/1.1" 200 23
172.100.76.128 - - [22/Aug/2022:17:09:30 +0800] "GET /myapp/ HTTP/1.1" 200 23
172.100.76.128 - - [22/Aug/2022:17:09:33 +0800] "GET /myapp/ HTTP/1.1" 200 23
172.100.76.128 - - [22/Aug/2022:17:09:36 +0800] "GET /myapp/ HTTP/1.1" 200 23
172.100.76.128 - - [22/Aug/2022:17:09:39 +0800] "GET /myapp/ HTTP/1.1" 200 23
172.100.76.128 - - [22/Aug/2022:17:09:42 +0800] "GET /myapp/ HTTP/1.1" 200 23

此时可以通过kafka客户端查看到数据,如果这里看不到数据,请检查镜像配置或容器中日志是否正常生成.

请添加图片描述

2.2 配置logstash

logstash服务器

编辑logstash配置文件

vi /etc/logstash/conf.d/kafka-to-es.conf

input是从kafka,output是到es服务器.

input {
  kafka {
    bootstrap_servers => "192.168.31.121:9092,192.168.31.122:192.168.31.123:9092"
    topics => ["wework-tomcat-app1"]
    codec => "json"
  }
}

output {
  if [fields][type] == "tomcat-accesslog" {
    elasticsearch {
      hosts => ["192.168.31.41:9200","192.168.31.42:9200","192.168.31.43:9200"]
      index => "wework-tomcat-app1-accesslog-%{+YYYY.MM.dd}"
    }
  }

  if [fields][type] == "tomcat-catalina" {
    elasticsearch {
      hosts => ["192.168.31.41:9200","192.168.31.42:9200","192.168.31.43:9200"]
      index => "wework-tomcat-app1-catalinalog-%{+YYYY.MM.dd}"
    }
  }
}

第一次把kafka和es的集群搞反了一直有这样的报错.改回来了就好了.正常情况下都是INFO的信息.
日志位置/var/log/logstash/logstash-plain.log

[2022-08-23T00:37:29,160][WARN ][org.apache.kafka.clients.NetworkClient][main][c03144fe3d097cca98814f7486eb4f3a0283b8964384dc70c6da2db816938794] [Consumer clientId=logstash-0, groupId=logstash] Connection to node -1 (/192.168.31.41:9092) could not be established. Broker may not be available.

[2022-08-23T00:40:43,188][WARN ][logstash.outputs.elasticsearch][main] Attempted to resurrect connection to dead ES instance, but got an error. {:url=>"http://192.168.31.121:9200/", :error_type=>LogStash::Outputs::ElasticSearch::HttpClient::Pool::HostUnreachableError, :error=>"Elasticsearch Unreachable: [http://192.168.31.121:9200/][Manticore::SocketException] Connection refused (Connection refused)"}

2.3 启动logstash

root@logstash:~# systemctl restart logstash

确认启动成功

root@logstash:~# tail -f /var/log/logstash/logstash-plain.log
[2022-08-23T00:47:26,008][INFO ][org.apache.kafka.clients.consumer.internals.ConsumerCoordinator][main][262898fd5d4fc97f22b1ff57075d8840de87647f79e44b3e30251b3afecb47b1] [Consumer clientId=logstash-0, groupId=logstash] Found no committed offset for partition wework-tomcat-app1-0
[2022-08-23T00:47:26,010][INFO ][org.apache.kafka.clients.consumer.internals.ConsumerCoordinator][main][262898fd5d4fc97f22b1ff57075d8840de87647f79e44b3e30251b3afecb47b1] [Consumer clientId=logstash-0, groupId=logstash] Found no committed offset for partition wework-tomcat-app1-2
[2022-08-23T00:47:26,011][INFO ][org.apache.kafka.clients.consumer.internals.ConsumerCoordinator][main][262898fd5d4fc97f22b1ff57075d8840de87647f79e44b3e30251b3afecb47b1] [Consumer clientId=logstash-0, groupId=logstash] Found no committed offset for partition wework-tomcat-app1-1
[2022-08-23T00:47:26,040][INFO ][org.apache.kafka.clients.consumer.internals.SubscriptionState][main][262898fd5d4fc97f22b1ff57075d8840de87647f79e44b3e30251b3afecb47b1] [Consumer clientId=logstash-0, groupId=logstash] Resetting offset for partition wework-tomcat-app1-1 to offset 529.
[2022-08-23T00:47:26,060][INFO ][org.apache.kafka.clients.consumer.internals.SubscriptionState][main][262898fd5d4fc97f22b1ff57075d8840de87647f79e44b3e30251b3afecb47b1] [Consumer clientId=logstash-0, groupId=logstash] Resetting offset for partition wework-tomcat-app1-2 to offset 447.
[2022-08-23T00:47:26,063][INFO ][org.apache.kafka.clients.consumer.internals.SubscriptionState][main][262898fd5d4fc97f22b1ff57075d8840de87647f79e44b3e30251b3afecb47b1] [Consumer clientId=logstash-0, groupId=logstash] Resetting offset for partition wework-tomcat-app1-0 to offset 447.

打开es head确认数据已经收到
请添加图片描述

3. Kibana导入索引

依次导入accesslog和catalina

请添加图片描述
请添加图片描述
请添加图片描述
请添加图片描述
至此K8s日志收集实现完毕

最后

以上就是安详便当为你收集整理的【云原生 | Kubernetes 系列】----K8s日志收集日志收集1. 准备工作2. 日志收集3. Kibana导入索引的全部内容，希望文章能够帮你解决【云原生 | Kubernetes 系列】----K8s日志收集日志收集1. 准备工作2. 日志收集3. Kibana导入索引所遇到的程序开发问题。

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如何判断哪个节点是k8s集群的master节点
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k8s网络通信初探 一、网络基础 二、网络模型 三、Kubemetes网络实现 四、总结

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