ELK+Kafka+Filebeat日志系统

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1.环境规划

IP地址 部署的服务 主机名 192.168.81.210 es+kafka+zookeeper+kibana+logstash elk-1 192.168.81.220 es+kafka+zookeeper elk-2 192.168.81.230 es+kafka+zookeeper+nginx+filebeat elk-3

日志系统架构图

nginx--->filebeat--->kafka--->logstash--->elasticsearch--->kibana

2.部署elasticsearch集群

2.1.配置es-1节点

1.下载elasticsearch7.6 [root@elk-1 ~]# wget https://mirrors.huaweicloud.com/elasticsearch/7.6.0/elasticsearch-7.6.0-x86_64.rpm [root@elk-1 ~/soft]# rpm -ivh elasticsearch-7.6.0-x86_64.rpm 2.编辑配置文件，配置集群模式 [root@elk-1 ~]# vim /etc/elasticsearch/elasticsearch.yml cluster.name: elk-application node.name: elk-1 path.data: /data/elasticsearch path.logs: /var/log/elasticsearch bootstrap.memory_lock: true network.host: 192.168.81.210,127.0.0.1 http.port: 9200 cluster.initial_master_nodes: ["elk-1"] discovery.zen.ping.unicast.hosts: ["192.168.81.210","192.168.81.220","192.168.81.230"] discovery.zen.fd.ping_timeout: 120s discovery.zen.fd.ping_retries: 6 discovery.zen.fd.ping_interval: 30s http.cors.enabled: true http.cors.allow-origin: "*" 3.创建数据目录 [root@elk-1 ~]# mkdir /data/elasticsearch/ -p [root@elk-1 ~]# chown -R elasticsearch.elasticsearch /data/elasticsearch/ 4.配置内存锁定 [root@elk-1 ~]# mkdir /etc/systemd/system/elasticsearch.service.d/ [root@elk-1 ~]# vim /etc/systemd/system/elasticsearch.service.d/override.conf [Service] LimitMEMLOCK=infinity 5.启动elasticsearch [root@elk-1 ~]# systemctl daemon-reload [root@elk-1 ~]# systemctl start elasticsearch [root@elk-1 ~]# systemctl enable elasticsearch

2.2.配置es-2节点

只是配置文件中node.name和network.host不同，其他操作方式一致

[root@elk-2 ~]# vim /etc/elasticsearch/elasticsearch.yml cluster.name: elk-application node.name: elk-2 path.data: /data/elasticsearch path.logs: /var/log/elasticsearch bootstrap.memory_lock: true network.host: 192.168.81.220,127.0.0.1 http.port: 9200 cluster.initial_master_nodes: ["elk-1"] discovery.zen.ping.unicast.hosts: ["192.168.81.210","192.168.81.220","192.168.81.230"] discovery.zen.fd.ping_timeout: 120s discovery.zen.fd.ping_retries: 6 discovery.zen.fd.ping_interval: 30s http.cors.enabled: true http.cors.allow-origin: "*"

2.3.配置es-3节点

只是配置文件中node.name和network.host不同，其他操作方式一致

[root@elk-2 ~]# vim /etc/elasticsearch/elasticsearch.yml cluster.name: elk-application node.name: elk-3 path.data: /data/elasticsearch path.logs: /var/log/elasticsearch bootstrap.memory_lock: true network.host: 192.168.81.230,127.0.0.1 http.port: 9200 cluster.initial_master_nodes: ["elk-1"] discovery.zen.ping.unicast.hosts: ["192.168.81.210","192.168.81.220","192.168.81.230"] discovery.zen.fd.ping_timeout: 120s discovery.zen.fd.ping_retries: 6 discovery.zen.fd.ping_interval: 30s http.cors.enabled: true http.cors.allow-origin: "*"

2.4.使用es-head插件查看集群状态

3.部署kibana

1.下载kibana rpm包 [root@elk-1 ~]# rpm -ivh kibana-7.6.0-x86_64.rpm 2.配置kibana [root@elk-1 ~]# vim /etc/kibana/kibana.yml server.port: 5601 server.host: "192.168.81.210" server.name: "elk-application" elasticsearch.hosts: ["http://192.168.81.210:9200"] i18n.locale: "zh-CN" [root@elk-1 ~]# systemctl restart kibana [root@elk-1 ~]# systemctl enable elasticsearch

kibana部署成功

4.部署zookeeper

4.1.配置zookeeper-1节点

1.下载软件 [root@elk-1 ~]# wget http://archive.apache.org/dist/zookeeper/zookeeper-3.4.14/zookeeper-3.4.14.tar.gz 2.解压并移动zookeeper [root@elk-1 ~]# tar xf soft/zookeeper-3.4.13.tar.gz -C /data/ [root@elk-1 ~]# mv /data/zookeeper-3.4.13/ /data/zookeeper 3.创建数据目录和日志目录 [root@elk-1 ~]# mkdir /data/zookeeper/{data,logs} 4.准备配置文件 [root@elk-1 ~]# cd /data/zookeeper/conf [root@elk-1 /data/zookeeper/conf]# cp zoo_sample.cfg zoo.cfg [root@elk-1 /data/zookeeper/conf]# vim zoo.cfg tickTime=2000 initLimit=10 syncLimit=5 dataDir=/data/zookeeper/data DataLogDir=/data/zookeeper/logs clientPort=2181 server.1=192.168.81.210:2888:3888 server.2=192.168.81.220:2888:3888 server.3=192.168.81.230:2888:3888 5.生成节点id文件 #节点id只能保护数字 [root@elk-1 /data/zookeeper]# echo 1 > /data/zookeeper/data/myid

4.2.配置zookeeper-2节点

与zookeeper-1节点只有配置文件和节点id文件有点不同，其余全一样

[root@elk-2 /data/zookeeper/conf]# cat zoo.cfg tickTime=2000 initLimit=10 syncLimit=5 dataDir=/data/zookeeper/data DataLogDir=/data/zookeeper/logs clientPort=2181 server.1=192.168.81.210:2888:3888 server.2=192.168.81.220:2888:3888 server.3=192.168.81.230:2888:3888 [root@elk-2 /data/zookeeper/conf]# echo 2 > /data/zookeeper/data/myid

4.3.配置zookeeper-3节点

[root@elk-3 /data/zookeeper/conf]# cat zoo.cfg tickTime=2000 initLimit=10 syncLimit=5 dataDir=/data/zookeeper/data DataLogDir=/data/zookeeper/logs clientPort=2181 server.1=192.168.81.210:2888:3888 server.2=192.168.81.220:2888:3888 server.3=192.168.81.230:2888:3888 [root@elk-3 /data/zookeeper/conf]# echo 3 > /data/zookeeper/data/myid

4.4.启动所有节点

zookeeper集群必须保证有两个节点存活，也就是说必须同时要启动两个节点，否则集群将启动不成功，因此要都修改好配置文件后，再统一启动

[root@elk-1 /data/zookeeper]# ./bin/zkServer.sh status ZooKeeper JMX enabled by default Using config: /data/zookeeper/bin/../conf/zoo.cfg Mode: follower [root@elk-2 /data/zookeeper]# ./bin/zkServer.sh status ZooKeeper JMX enabled by default Using config: /data/zookeeper/bin/../conf/zoo.cfg Mode: follower [root@elk-3 /data/zookeeper]# ./bin/zkServer.sh status ZooKeeper JMX enabled by default Using config: /data/zookeeper/bin/../conf/zoo.cfg Mode: leader

5.部署kafka

注意：不要使用kafka2.11版本，有严重的bug，filebeat无法写入数据到kafka集群，写入的协议版本不同，存在问题

5.1.配置kafka-1节点

1.下载二进制包 [root@elk-1 ~]# wget https://archive.apache.org/dist/kafka/2.0.0/kafka_2.11-2.0.0.tgz 2.安装kafka [root@elk-1 ~/soft]# tar xf kafka_2.13-2.4.0.tgz -C /data/ [root@elk-1 ~]# mv /data/kafka_2.13-2.4.0 /data/kafka 3.修改配置文件 [root@elk-1 ~]# cd /data/kafka [root@elk-1 /data/kafka]# vim config/server.properties broker.id=1 listeners=PLAINTEXT://192.168.81.210:9092 host.name=192.168.81.210 advertised.listeners=PLAINTEXT://192.168.81.210:9092 advertised.host.name=192.168.81.210 num.network.threads=3 num.io.threads=8 socket.send.buffer.bytes=102400 socket.receive.buffer.bytes=102400 socket.request.max.bytes=104857600 log.dirs=/data/kafka/data num.partitions=3 delete.topic.enable=true auto.create.topics.enable=true replica.fetch.max.bytes=5242880 num.recovery.threads.per.data.dir=1 offsets.topic.replication.factor=3 transaction.state.log.replication.factor=3 transaction.state.log.min.isr=3 message.max.byte=5242880 log.cleaner.enable=true log.retention.hours=48 log.segment.bytes=1073741824 log.retention.check.interval.ms=15000 zookeeper.connect=192.168.81.210:2181,192.168.81.220:2181,192.168.81.230:2181 zookeeper.connection.timeout.ms=60000 group.initial.rebalance.delay.ms=0 4.创建数据目录 [root@elk-3 ~]# mkdir /data/kafka/data

5.2.配置kafka-2节点

只是配置文件不同，其余与kafka-1节点操作一致

配置文件需要改的地方：broker.id改成2，表示第二个节点 listeners host.name advertised.listeners advertised.host.name改成本机ip地址

[root@elk-2 /data/kafka]# cat config/server.properties broker.id=2 listeners=PLAINTEXT://192.168.81.220:9092 host.name=192.168.81.220 advertised.listeners=PLAINTEXT://192.168.81.220:9092 advertised.host.name=192.168.81.220 num.network.threads=3 num.io.threads=8 socket.send.buffer.bytes=102400 socket.receive.buffer.bytes=102400 socket.request.max.bytes=104857600 log.dirs=/data/kafka/data num.partitions=3 delete.topic.enable=true auto.create.topics.enable=true replica.fetch.max.bytes=5242880 num.recovery.threads.per.data.dir=1 offsets.topic.replication.factor=3 transaction.state.log.replication.factor=3 transaction.state.log.min.isr=3 message.max.byte=5242880 log.cleaner.enable=true log.retention.hours=48 log.segment.bytes=1073741824 log.retention.check.interval.ms=15000 zookeeper.connect=192.168.81.210:2181,192.168.81.220:2181,192.168.81.230:2181 zookeeper.connection.timeout.ms=60000 group.initial.rebalance.delay.ms=0

5.3.配置kafka-3节点

只是配置文件不同，其余与kafka-1节点操作一致

配置文件需要改的地方：broker.id改成3，表示第三个节点 listeners host.name advertised.listeners advertised.host.name改成本机ip地址

[root@elk-3 /data/kafka]# cat config/server.properties broker.id=3 listeners=PLAINTEXT://192.168.81.230:9092 host.name=192.168.81.230 advertised.listeners=PLAINTEXT://192.168.81.230:9092 advertised.host.name=192.168.81.230 num.network.threads=3 num.io.threads=8 socket.send.buffer.bytes=102400 socket.receive.buffer.bytes=102400 socket.request.max.bytes=104857600 log.dirs=/data/kafka/data num.partitions=3 delete.topic.enable=true auto.create.topics.enable=true replica.fetch.max.bytes=5242880 num.recovery.threads.per.data.dir=1 offsets.topic.replication.factor=3 transaction.state.log.replication.factor=3 transaction.state.log.min.isr=3 message.max.byte=5242880 log.cleaner.enable=true log.retention.hours=48 log.segment.bytes=1073741824 log.retention.check.interval.ms=15000 zookeeper.connect=192.168.81.210:2181,192.168.81.220:2181,192.168.81.230:2181 zookeeper.connection.timeout.ms=60000 group.initial.rebalance.delay.ms=0

5.4.启动kafka

[root@elk-1 ~]# /data/kafka/bin/kafka-server-start -daemon /data/kafka/config/server.properties [root@elk-2 ~]# /data/kafka/bin/kafka-server-start -daemon /data/kafka/config/server.properties [root@elk-3 ~]# /data/kafka/bin/kafka-server-start -daemon /data/kafka/config/server.properties

6.测试kafka与zookeeper连接

kafka能够产生数据并消费，整个集群就可以使用了

1.创建一个topic [root@elk-1 /data/kafka]# ./bin/kafka-topics.sh --create --zookeeper 192.168.81.210:2181,192.168.81.220:2181,192.168.81.230:2181 --replication-factor 1 --partitions 1 --topic testpic Created topic "testpic". 2.查看topic [root@elk-1 /data/kafka]# ./bin/kafka-topics.sh --list --zookeeper 192.168.81.210:2181,192.168.81.220:2181,192.168.81.230:2181 testpic 3.查看topic的描述信息 [root@elk-1 /data/kafka]# ./bin/kafka-topics.sh --describe --zookeeper 192.168.81.210:2181,192.168.81.220:2181,192.168.81.230:2181 --topic testpic 4.使用kafka-console-producer控制台生产数据 [root@elk-1 /data/kafka]# ./bin/kafka-console-producer.sh --broker-list 192.168.81.210:9092,192.168.81.220:9092,192.168.81.230:9092 --topic testpic >test1 >test2 >test3 >test4 >test5 >test6 >test7 >test8 >test9 >test10 5.使用kafka-console-consumer控制台消费数据 [root@elk-1 /data/kafka]# ./bin/kafka-console-consumer.sh --bootstrap-server 192.168.81.210:9092,192.168.81.220:9092,192.168.81.230:9092 --topic testpic --from-beginning test1 test2 test3 test4 test5 test6 test7 test8 test9 test10 #删除一个topic [root@elk-1 /data/kafka]# ./bin/kafka-topics.sh --delete --zookeeper 192.168.81.210:2181 --topic testpic

7.配置filebeat收集nginx、tomcat日志并存储到kafka中

7.1.安装并配置nginx服务

1.安装nginx [root@elk-3 ~]# yum -y install nginx 2.配置nginx日志格式 [root@elk-3 ~]# vim /etc/nginx/nginx.conf http { ·············· log_format main '{"时间":"$time_iso8601",' '"客户端外网地址":"$http_x_forwarded_for",' '"客户端内网地址":"$remote_addr",' '"状态码":$status,' '"传输流量":$body_bytes_sent,' '"跳转来源":"$http_referer",' '"URL":"$request",' '"浏览器":"$http_user_agent",' '"请求响应时间":$request_time,' '"后端地址":"$upstream_addr"}'; access_log /var/log/nginx/access.log main; ·············· } 2.启动nginx [root@elk-3 ~]# systemctl start nginx [root@elk-3 ~]# systemctl enable nginx 4.访问产生日志查看效果 [root@elk-3 ~]# curl 127.0.0.1 [root@elk-3 ~]# tail /var/log/nginx/access.log {"时间":"2021-07-12T11:29:33+08:00","客户端外网地址":"-","客户端内网地址":"127.0.0.1","状态码":200,"传输流量":4833,"跳转来源":"-","URL":"GET / HTTP/1.1","浏览器":"curl/7.29.0","请求响应时间":0.000,"后端地址":"-"}

7.2.安装tomcat服务

[root@elk-3 ~]# tar xf apache-tomcat-8.5.12.tar.gz -C /data/ [root@elk-3 ~]# mv /data/apache-tomcat-8.5.12/ /data/tomcat [root@elk-3 ~]# /data/tomcat/bin/startup.sh Using CATALINA_BASE: /data/tomcat Using CATALINA_HOME: /data/tomcat Using CATALINA_TMPDIR: /data/tomcat/temp Using JRE_HOME: /usr Using CLASSPATH: /data/tomcat/bin/bootstrap.jar:/data/tomcat/bin/tomcat-juli.jar Tomcat started.

7.3.安装filebeat服务

[root@elk-3 ~]# rpm -ivh filebeat-7.6.0-x86_64.rpm ```

7.4.配置filebeat收集应用日志并存储到kafka

1.配置filebeat [root@elk-3 ~]# vim /etc/filebeat/filebeat.yml filebeat.inputs: - type: log #类型为log enabled: true paths: #指定日志所在的路径 - /var/log/nginx/access.log json.keys_under_root: true #支持json格式的日志输出 json.overwriite_keys: true fields: #在日志中增加一个字段，字段为log_topic，值为nginx_access，logstash根据带有这个字段的日志存储到指定的es索引库 log_topic: nginx-access tail_files: true #开启日志监控，从日志的最后一行开始收集 - type: log enabled: true paths: - /data/tomcat/logs/catalina.out multiline.pattern: '^20' #收集tomcat错误日志，从第一个20到下一个20之间的日志整合在一行中显示 multiline.negate: true multiline.match: after fields: log_topic: tomcat-cata tail_files: true output.kafka: #输出到kafka系统 enabled: true hosts: ["192.168.81.210:9092","192.168.81.220:9092","192.168.81.230:9092"] #kafka的地址 topic: '%{[fields][log_topic]}' #指定将日志存储到kafka集群的哪个topic中，这里的topic值是引用在inputs中定义的fields，通过这种方式可以将不同路径的日志分别存储到不同的topic中 partition.round_robin: reachable_only: false required_acks: 1 compression: gzip max_message_bytes: 1000000 2.启动filebeat [root@elk-3 ~]# systemctl start filebeat [root@elk-3 ~]# systemctl enable filebeat

7.5.产生程序日志数据观察数据是否存储kafka

1.产生程序日志

1.产生nginx日志 [root@elk-3 ~]# ab -n 1000 -c 100 http://127.0.0.1/index.html 2.产生tomcat日志 [root@elk-3 ~]# /data/tomcat/bin/shutdown.sh [root@elk-3 ~]# /data/tomcat/bin/startup.sh

2.观察kafka中是否创建对应的topic

[root@elk-1 /data/kafka]# ./bin/kafka-topics.sh --list --zookeeper 192.168.81.210:2181,192.168.81.220:2181,192.168.81.230:2181 __consumer_offsets nginx-access testpic tomcat-cata #nginx-access以及tomcat-cata的topic已经创建成功

3.观察kafka日志的输出

[root@elk-1 /data/kafka]# tail -f logs/kafkaServer.out

8.配置logstash从kafka中读取数据并存储到es集群

部署logstash，配置logstash从kafka中读取topic数据并存储到es集群

8.1.部署logstash服务

1.安装logstash [root@elk-3 ~]# rpm -ivh logstash-7.6.0.rpm

8.2.配置logstash从kafka读取数据存储到es集群

[root@elk-3 ~]# cat /etc/logstash/conf.d/in_kafka_to_es.conf #从kafka中读取日志数据 input { #数据源端 kafka { #类型为kafka bootstrap_servers => ["192.168.81.210:9092,192.168.81.220:9092,192.168.81.230:9092"] #kafka集群地址 topics => ["nginx-access","tomcat-cata"] #要读取那些kafka topics codec => "json" #处理json格式的数据 auto_offset_reset => "latest" #只消费最新的kafka数据 } } #处理数据，去掉没用的字段 filter { if[fields][log_topic] == "nginx-access" { #如果log_topic字段为nginx-access则进行以下数据处理 json { #json格式数据处理 source => "message" #source等于message的 remove_field => ["@version","path","beat","input","log","offset","prospector","source","tags"] #删除指定的字段 } mutate { #修改数据 remove_field => ["_index","_id","_type","_version","_score","referer","agent"] #删除没用的字段 } } if[fields][log_topic] == "tomcat-cata" { #如果log_topic字段为tomcat-cata grok { #解析格式 match => { "message" => "(?<时间>20[0-9]{2}-[0-9]{2}-[0-9]{2} [0-9]{2}:[0-9]{2}:[0-9]{2}) \[(?<线程名称>[^\s]{0,})\] (?<日志等级>\w+) (?<类名称>[^\s]{0,}) (?<日志详情>[\W\w]+)" #将message的值增加上一些格式 } } mutate { #修改数据 remove_field => ["_index","_id","_type","_version","_score","referer","agent"] #删除没用的字段 } } } #数据处理后存储es集群 output { #目标端 if[fields][log_topic] == "nginx-access" { #如果log_topic的字段值为nginx-access就存到下面的es集群里 elasticsearch { action => "index" #类型为索引 hosts => ["192.168.81.210:9200","192.168.81.220:9200","192.168.81.230:9200"] #es集群地址 index => "nginx-access-%{+YYYY.MM.dd}" #存储到es集群的哪个索引里 codec => "json" #处理json格式的解析 } } if[fields][log_topic] == "tomcat-cata" { #如果log_topic的字段值为tomcat-cata就存到下面的es集群里 elasticsearch { action => "index" #类型为索引 hosts => ["192.168.81.210:9200","192.168.81.220:9200","192.168.81.230:9200"] #es集群地址 index => "tomcat-cata-%{+YYYY.MM.dd}" #存储到es集群的哪个索引里 codec => "json" #处理json格式的解析 } } }

8.3.启动logstash并观察日志

[root@elk-3 ~]# nphup /usr/share/logstash/bin/logstash -f /etc/logstash/conf.d/in_kafka_to_es.conf &

观察日志的输出，已经从nginx-access、tomcat-cata topic中读取了数据并存到了es集群中

8.4.查看elasticsearch集群是否增加了对应的索引库

es集群已经生成了tomcat-cata以及nginx-access索引库

到此为止logstash已经成功从kafka集群读取到日志数据，然后传入到elasticsearch集群不同的索引库

9.在kibana上关联elasticsearch索引库浏览日志数据

9.1.在kibana上添加nginx-access索引模式

1）点击创建索引

2）填写索引名

采用通配符的方式，填写完点击下一步完成创建即可

3）添加一个时间筛选字段

4）创建成功

9.2.同样方法添加tomcat-cata索引模式

9.3.查询nginx-access索引日志数据

9.4.查看tomcat-cata索引日志数据

10.报错合集

10.1.es启动时报错无法指定被请求的地址

报错内容如下

解决方法：仔细检查配置文件，肯定是某个地址配置错了，我的就是监听地址的ip写错了

10.2.filebeat写入数据到kafka api版本报错

报错如下：

分析解决思路：初步判定为kafka2.11版本问题导致的，换成2.13问题解决